GTM Workflows

Scan a list of target accounts for new senior executive hires and rank them by what each company has done since the arrival. Six months of Lusha signals, 25 accounts, one prompt.

A new senior executive at a target account is a buying trigger. This prompt splits six months of company signals into before and after the arrival, so you know whether anything changed before you reach out.

Firmographic fit says a company could be a customer. A job posting in the exact department a product serves says the need is current and specific. This play filters new job posts by department and returns a ready-to-sync audience. On three roster accounts, all three matched, with 14 Sales postings across eight countries in a 30-day window.

A single signal is easy to dismiss. Three at the same account, in the same window, is a different story most teams never see because each shows up as its own alert. This play scores the combination directly: an account firing on all three ranks above one with a single unconfirmed posting. On three roster accounts, one scored HIGH across all three signal types; the other two scored MEDIUM.

A single job posting is the first data point in a hiring pattern, weeks before it becomes the surge signal everyone else is watching. This play checks target accounts for that first posting, tells a genuine opening apart from one role cross-posted across countries, and drafts an outreach line tied to the specific role. On three roster accounts it found postings on two, and caught one account's five hits as likely a single cross-posted opening rather than five.

A closed lost deal is attached to a person. When that person leaves, the no leaves with them, and the seat is filled by someone who has never heard your pitch or their objection to it. This play checks your closed lost contacts for company changes, finds who took the seat, and ranks which accounts to reopen. The run also showed why "find the backfill" is harder than it sounds: the departed contact's exact title had 90 holders at the account, on three continents. The prompt now narrows by location and escalates to the manager when the seat is a team.

A promotion is two opportunities. The person who moved up now has more authority and deserves a congratulation. The seat they left is open, or newly filled by someone who does not know you, and that is where the multi thread starts. This play runs both across your contact list and adds the distinction the raw signal skips: a promotion inside the company is not the same event as a bigger title at a new company, and the open seat is in a different building. On 25 sales leaders over six months it cost 3 credits and found two moves. Neither was a promotion in place.

A closed lost account is closed because a specific person said no to a specific plan. An acquisition, an office consolidation or a new headquarters changes one or both. This play checks your lost and stalled list for those events, drops the ones the news is rehashing from years ago, and ranks which accounts to reopen, with whoever holds the decision now rather than the person who declined. On a 25 account list it cost 14 credits, returned 14 events, and four of them described things that happened in 2012, 2014, 2021 and 2023.

Headcount decline is one of 24 company signals in the Lusha plugin for Claude, available over one, three, six and twelve month windows. Like IT spend decrease, it means opposite things for a customer and a prospect: a churn warning for one, a consolidation opening for the other. The two signals together are stronger than either alone.

LinkedIn Activity Intent is the only signal in the set where a named person at the account says, in public, what they care about this week. It is also the noisiest, because it is filtered by broad topic categories, and "CRM" as a category will hand you a post about insurance claims. This play fetches with the categories and then filters with your own words, keeps the post types that carry intent, and drops the rest. On a 25 account list it cost 48 credits for 48 posts. Nine were worth a reply. That ratio is normal, and the prompt is written to improve it.

A financial event changes how you pitch an account more than whether you pitch it. A company that just raised wants speed; one that just committed a fortune to infrastructure wants efficiency on what is left; one selling assets wants cost out. This play runs the check across your list and sets the angle per account. It also does the job the news feed will not: it drops rounds from last year that a recent article happened to mention. On a 25 account list of AI and GTM software companies it cost 8 credits, returned 8 events, and left exactly one confirmed event inside the window. That number is the lesson.

A new executive reviews everything in the first 90 days, and that window is the best one in outbound. The raw signal, though, is a news feed: it returns board seats, a school newsletter profiling an alumna, the same press release twice, and a hire that happened four months before anyone wrote about it. This play runs the check across your target list and does the filtering the feed does not: it drops board appointments, dedupes, computes days in role from the effective date, and tiers by title. On a 25 account list it cost 16 credits, returned 16 events, and left 7 real hires worth a message.

A hiring surge by location tells you a company is posting more jobs than usual in a specific place. It reads weekly, so it is the freshest signal in the set, and it is the one that answers a territory question: who is investing in my patch right now. This play checks it across your target list, ranks by how many jobs above normal rather than by percentage, and separates a company opening a new office from one growing an existing hub. On a 25 account list for England it found 19 hits at 41 credits, which is also why the prompt now caps readings at two.

A website traffic increase means a company is getting more attention, usually because it is spending to get it. That is a good moment to sell anything that turns visitors into pipeline. This play checks the signal across your target list, shows the growth against the size of the audience so a 33% jump on 224,000 visits is not confused with a 33% jump on 8 million, and tells you how fresh the reading is. On a 25 account list it cost 6 credits, found 5 accounts growing, and revealed that the newest reading was 12 weeks old.

An IT spend decrease is a measured drop in a company's technology budget, with a date. It means opposite things for a customer and a prospect, so the play splits the list in two: customers go to the account owner as churn risk, prospects get a consolidation opening. On a 25 account list it cost 15 credits, found 9 accounts cutting, and one of them had cut on three consecutive readings.

An IT spend increase is a measured change in a company's technology budget, with a date attached. This play checks it across your whole target list at 1 credit per hit. On a 25 account list it cost 17 credits, found 14 accounts with a budget increase, and showed that the obvious ranking (biggest increase first) would have sent reps to the five least reliable readings.

The short version: almost every credit wasted on a prospecting list is spent before anyone looks at it — on accounts you already own, companies you would have disqualified, and fields nobody will use. Five checks, each costing a credit or less, that shrink the list before you pay to enrich it. On a 200-row […]

The short version: search for companies that run one technology and do not run another. The gap between the two is your pitch, already qualified. In our test, filtering for a core platform while excluding its adjacent module returned 201 companies at 201 to 1,000 employees, for 1 credit. Nothing revealed until you shortlist. Technographic […]

The short version: pass a suppression list of customer, open-opportunity, and owned-account domains alongside your ICP filters, and the list comes back already clean. In our test, excluding five domains removed 380 contacts from a single search. Costs 1 credit per batch of 25 — the suppression itself is free. Every sales org has the […]

The short version: we tested three windows across a book of eight accounts. A seven day window returned zero results. Thirty days returned two. Ninety days returned twenty two — eleven times the monthly count, for the same one credit. Leadership changes surface with a lag, so a weekly alert finds nothing and a quarterly […]

The short version: before you go cold on an account, check whether anyone there came from a company you already have relationships with — your own alumni, a customer, a partner. Claude searches by shared employment history and returns the people who bridge the two. Costs 1 credit per batch of 25, before any contact […]

The short version: point Claude at your closed-won account domains and it finds every senior contact who has since moved elsewhere, with their new company and role. Costs 1 credit per batch of 25. Each result is a new logo where someone already bought from you once. Every account you have ever closed is also […]

Images and outputs on this page are for illustrative purposes only. The example below is a real result pulled live from Lusha, with personal details masked for privacy. Most “enrich leads with ChatGPT” prompts are really research prompts, a summary, a guess at a title, nothing you can actually act on. Real enrichment means taking […]

To build a target list from buying signals rather than filters, you start at the other end: find companies already engaging with your category, then check whether they fit. This play runs in Claude with the Lusha connector and the LinkedIn Activity Intent signal. The short version: ask Claude for companies showing LinkedIn Activity Intent, add a headcount band, […]

Combine firmographic fit with real social media engagement to rank accounts worth calling this week above accounts that only fit on paper.

Find accounts actively engaging with your category on LinkedIn, then the verified contact to reach out to, in one pass with Claude and Lusha.

Ask Claude for a specific title at companies of a certain size. Lusha filters and verifies, so the list is ready to work.

Ask Claude to find companies that match your best accounts. Lusha's lookalike model looks past brand names to the underlying profile.

Ask Claude which companies are actively scaling engineering right now. Lusha grounds the answer in a real, dated signal.

Ask Claude who the decision makers are at any company. Lusha verifies the answer before Claude gives it to you.

Learn how to build a targeted B2B prospect list with ICP-matched companies, relevant decision-makers, verified contact details, and timely buying signals. Turn a broad market into an actionable outbound list with Lusha.

Learn how to complete, update, and maintain CRM records using verified contact and company data. Improve routing, segmentation, scoring, prospecting, and reporting with a CRM enrichment workflow built on Lusha.

Access 5,100+ U.S. companies showing a recent surge in consulting hiring. Identify relevant accounts, find consulting and professional services leaders, and build verified prospecting lists with Lusha.

Access 4,500+ U.S. companies showing a recent surge in business development hiring. Find business development, partnerships, growth, and market expansion leaders with verified contact data from Lusha.

Before rolling out a top rep's sequence, check if the signal it's grounded in is common enough across the territory to actually scale. (137 chars)

Website traffic and ICP fit usually live in separate tools. This prompt blends Lusha's Website Visits data with ICP scoring into one rating. (

Free trial signups who didn't convert aren't dead. This prompt finds the ones who changed jobs, checks fit, and drafts reactivation outreach.

Access 7,200+ U.S. companies showing a recent surge in legal hiring. Find general counsel, legal operations, compliance, privacy, and risk decision-makers with verified contact data from Lusha.

Access 3,300+ U.S. companies showing a recent surge in product hiring. Find CPOs, product leaders, product operations teams, and innovation decision-makers with verified contact data from Lusha.

Access 47,000+ U.S. companies showing a recent surge in sales hiring. Find CROs, sales leaders, revenue teams, and go-to-market decision-makers with verified contact data from Lusha.

A company that just announced entry into a new market or region hasn't built local vendor relationships yet — that's a real, narrow window. This prompt checks target accounts for a market-entry announcement in their corporate strategy news and drafts outreach timed to the week it happens, before the account settles into what everyone else already sells them.

Access 22,000+ U.S. companies showing a recent surge in finance hiring. Find CFOs, controllers, finance leaders, procurement teams, and financial decision-makers with verified contact data from Lusha.

Access 23,000+ U.S. companies showing a recent surge in human resources hiring. Find CHROs, people leaders, talent teams, and HR decision-makers with verified contact data from Lusha.

Access 15,000+ U.S. companies showing a recent surge in marketing hiring. Find CMOs, marketing leaders, demand generation teams, and growth decision-makers with verified contact data from Lusha.

Access 45,000+ U.S. companies showing a recent surge in information technology hiring. Find CIOs, IT leaders, security buyers, and technical decision-makers with verified contact data from Lusha.

Access 12,000+ U.S. companies showing a recent surge in engineering and technical hiring. Find technology, engineering, product, and talent leaders with verified contact data from Lusha.

Access 158,000+ U.S. companies that increased their headcount in the last three months. Find HR, talent, operations, and technology leaders with verified contact data from Lusha.

This dataset includes more than 45,000 U.S.-headquartered companies showing a recent increase in estimated IT spend. It spans industries including technology, manufacturing, financial services, healthcare, hospitality, and business services.

A generic "saw you're growing" opener could be about any company, any signal, any month. Naming the actual office, city, or region a company is expanding into is a different kind of specific — the kind that only comes from having actually looked. This prompt takes a location-based hiring surge and drafts the outreach that references it directly, instead of laundering it into a vague growth mention.

Lookalike modeling is usually an outbound tool: go find more contacts like the ones who already bought. This prompt turns it inward. A stack of inbound leads already exists in your queue right now — this ranks them by how closely each one matches the pattern behind your best customers, so the strongest-fit lead gets the first response, not whoever filled out the form first.

Standard lookalike prospecting finds more of what already works, inside the market you already sell in. Entering a new region or vertical is a different problem — you don't have closed-won data there yet. This prompt uses the pattern from your existing wins to find accounts in an untested market that match anyway, so the first push into a new market starts from a real pattern. Standard lookalike prospecting finds more of what already works, inside the market you already sell in. Entering a new region or vertical is a different problem — you don't have closed-won data there yet. This prompt uses the pattern from your existing wins to find accounts in an untested market that match anyway, so the first push into a new market starts from a real pattern, not a guess.

Most teams track when a champion leaves. Almost nobody tracks when one gets promoted, even though it's the mirror-image signal, and a more useful one heading into a renewal. A champion with a bigger title and more budget authority than they had at signing is a stronger renewal, not just a nice update. This prompt finds them before the renewal conversation, not during it.

Every funding-triggered play in this library is built for private companies. Public enterprise accounts run on a different clock entirely — a quarterly earnings report, not a funding round. This prompt checks target accounts for recent earnings activity and times outreach to the fiscal cycle that actually governs their budget.

Most commercial activity news gets read one way: reach out to the account that made the announcement. This prompt reads it a second way — who did they just partner with, and is that partner worth a conversation too. A target account's new integration or channel deal often surfaces an entirely separate opportunity standing right next to it.

A prospecting list doesn't shrink on its own — accounts stay on it long after the signal that put them there has reversed. This prompt checks a target list for any decline signal (spend, headcount, or traffic) and clears out the accounts no longer worth working, so reps spend time on funded opportunities instead of stale ones.

A company-wide "they're hiring" signal gets a generic email. A department-level signal — engineering scaling 30%, not sales — deserves a different asset entirely. This prompt checks which department is actually surging at each target account and matches it to the content built for that audience, instead of sending everyone the same asset.

Funding and a hiring surge tell you a company is scaling. They don't tell you who to call. This prompt runs two checks in sequence — company-level signals first, then a contact-level check inside each matching company — so the output isn't just an account, it's a verified person with fresh authority and no vendor loyalty yet.

Most signal checks tell you an account fired one trigger. This one checks three named signals at once — funding, hiring surge, and a new executive — against your own account list, and returns exactly which accounts are showing one, two, or all three. Nothing pre-built, nothing pre-counted. It runs live, against your list, right now

A company that just closed a round has budget and a hiring plan before it has open reqs on a job board. This prompt flags recently funded companies in your target space and finds the people already inside them worth a conversation about what's coming.

A company that just posted 15 open roles in your niche needs help today, not eventually — that's the entire pitch, and it writes itself once you can prove the surge is real. This prompt finds companies with a recent hiring spike and the hiring manager to reach, so your outreach opens with a fact instead of a guess.

A layoff is the one hiring event that releases dozens of good candidates on the same day, already screened by someone else's bar for getting hired there in the first place. This prompt flags companies with recent headcount drops in your target space and returns the profiles worth calling this week.

Most sourcing starts from a job description and searches backward. This prompt starts from the market and searches forward: everyone who just moved into your exact target profile, anywhere, not just at your named competitors. It sorts them into a near-term list and a nurture list, so the pipeline you're building today is still warm eighteen months from now.

A new VP or director doesn't inherit a team they trust — they rebuild one, and most of that rebuilding happens in the first 90 days. This prompt flags fresh leadership moves at your target accounts and tells you exactly how much of the window is still open.

People who leave a competitor are the shortest ramp in recruiting — they already know the market, the buyers, and the objections. But departures surface one profile view at a time, usually after someone else called first. This prompt sweeps your whole competitor set at once and returns who left, where they went, and who's worth contacting this week.

Silver medalist candidates — the strong runners-up you didn't hire — are the cheapest pipeline in recruiting, but the records go stale fast: roughly 13,600 professionals change companies every working day. This prompt re-verifies your whole pool against live data and returns who moved, who got promoted, and the five worth calling this week.

A company in your ICP visited your pricing page three times this week. Nobody filled in a form. This prompt finds the right decision-maker, verifies them via Lusha, and writes a first outreach email grounded in account context — specific enough to be relevant, professional enough not to spook them.

Every company that visited your website this week — enriched against your ICP, mapped to open CRM opportunities, and ranked by priority. One prompt, ready before your Monday pipeline review.

A company in your ICP is visiting your website. This prompt finds the right decision-makers to reach out to — verified title, direct dial, and business email — in one pass using Lusha's API.

Not every company visiting your website is worth calling. This prompt filters your website visitor list against your ICP using Lusha's verified firmographic data — and returns only the accounts that match your best customer profile.

Most website visitors never fill in a form. This prompt identifies which companies are visiting your site right now — ranked by engagement score, session depth, and visit frequency — using Lusha's Website Visits API.

A score without action is wasted signal. This play runs the ICP Score and Route Skill on a new lead, sends every High-fit account into the Buying Group Skill, then drafts a personalized first message for each verified stakeholder the chain finds — Champion, Economic Buyer, and Technical Evaluator alike.

Rank your full territory by signal strength, then auto-generate a complete Account Intelligence brief on the top 3 accounts. One chain — Territory Signal Digest Skill into Account Intelligence Skill — no manual handoff between the ranking and the research.

A flagged deal is only useful if something happens next. This play runs the Pipeline Review Skill to surface every at-risk deal, then feeds each one directly into the Sequence Writer Skill — so the rep gets a risk flag and a ready-to-send re-engagement sequence in the same pass.

2,350+ financial services companies headquartered in New York City — from the largest global banks to boutique investment funds. The single largest concentration of financial services firms in any market worldwide.

514+ biotechnology companies headquartered in Cambridge, Massachusetts — from global pharmaceutical companies to early-stage research labs, packed into roughly two square miles around Kendall Square.

2,200+ companies with a new CFO — either hired externally or promoted internally — in the last 90 days. New finance leadership with a fresh mandate to evaluate ERP, FP&A, and financial infrastructure.

440+ companies with a new CMO — either hired externally or promoted internally — in the last 90 days. New marketing leadership reviewing the martech stack, brand, and demand gen tooling from day one.

367+ companies with a new CRO — either hired externally or promoted internally — in the last 90 days. A board-level mandate to fix or accelerate the revenue motion.

1,160+ companies with a new CTO — either hired externally or promoted internally — in the last 90 days. New technical leadership auditing infrastructure, developer tools, and AI platforms.

210+ companies with a new CISO — either hired externally or promoted internally — in the last 90 days. New security leadership reviewing SIEM, vulnerability management, and compliance tooling.

293+ companies with a new Chief Product Officer — either hired externally or promoted internally — in the last 90 days. New product leadership evaluating tooling, analytics, and platform investment.

238+ companies with a new Chief Customer Officer — either hired externally or promoted internally — in the last 90 days. New post-sale leadership reviewing customer success, retention, and experience tooling.

103+ companies with a new Chief Data Officer recently joining or promoted. New data leadership evaluating analytics platforms, governance tools, and AI infrastructure. Verified contacts, updated daily.

209+ companies with a new Chief Human Resources Officer — either hired externally or promoted internally — in the last 90 days. New people leadership evaluating HRIS, payroll, benefits, and talent platforms.

1,845+ companies with a new COO — either hired externally or promoted internally — in the last 90 days. New operational leadership reviewing process, automation, and operations tooling.

12,500+ contacts recently promoted to VP level. Newly elevated decision-makers with fresh budget authority and no allegiance to the existing vendor list — a different signal from a new hire, and just as valuable.

11,100+ contacts recently promoted to C-level. Newly elevated decision-makers with fresh budget authority and no allegiance to the existing vendor list — a different signal from a new hire, and just as valuable.

Ask an AI agent in plain English for the contacts you need. It calls Lusha's API to return verified B2B contacts — built with n8n.

Inbound leads are only useful when sales knows who they are, where they work, and whether they are worth prioritizing. This prompt uses a Lusha agent in Microsoft Copilot to enrich leads and recommend what to do next.

Build a reusable Lusha GTM Data Agent in Microsoft Copilot. Use this setup template to configure the agent name, description, instructions, suggested prompts, and knowledge sources.

Not every target account that looks interesting is worth working now. This prompt uses @Lusha in ChatGPT to compare one account against your best-customer pattern and recommend what to do next.

1,280+ VP of Sales contacts who recently joined a new company. New role, new mandate, no vendor commitments yet — the highest-converting cold outreach window in B2B sales.

292+ Chief Revenue Officer contacts who recently joined a new company. New mandate, fresh budget, no inherited vendor loyalty — the highest-converting outreach window for revenue technology, sales infrastructure, and GTM data.

869+ Chief Technology Officer contacts who recently joined a new company. New technical mandate, fresh stack evaluation, no inherited vendor loyalty — the highest-converting outreach window for infrastructure, developer tools, and AI platforms.

Your closed-won customers already contain your best ICP clues. This prompt uses @Lusha in ChatGPT to analyze customer patterns, find lookalikes, and build an actionable ICP model.

6,900+ verified VP of Customer Success contacts globally — with verified emails, direct dials, and company firmographics. The primary buyer for CS platforms, health scoring, expansion plays, and retention tooling.

90,000+ verified Chief Information Officer contacts globally — with verified emails, direct dials, and company firmographics. The primary decision-maker for enterprise IT strategy, infrastructure investment, and software procurement.

57,000+ verified VP of Engineering contacts globally — with verified emails, direct dials, and company firmographics. The technical leaders who own developer tooling, platform decisions, and engineering team growth.

Not every target account deserves the same next step. This prompt uses @Lusha in ChatGPT to enrich your list, check signals, and recommend which accounts to work now, nurture, review, or exclude.

Your best buyers show who actually moves deals forward. This prompt uses @Lusha in ChatGPT to find similar contacts, verify their roles, score fit, and recommend who to contact first.

Your best customers already show what good-fit accounts look like. This prompt uses @Lusha in ChatGPT to find lookalike companies, score fit, surface signals, and recommend which accounts to target first.

Not every webinar registrant should go straight to sales. This prompt uses @Lusha in ChatGPT to verify attendees, enrich accounts, check signals, and prioritize follow-up.

Competitor displacement works best when timing is right. This prompt uses @Lusha in ChatGPT to find competitor-fit accounts, check signals, and identify the best contacts to target first.

Expansion rarely starts from scratch. This prompt uses @Lusha in ChatGPT to map new stakeholders at an existing customer, find adjacent teams, and recommend the best expansion path.

Companies showing a sales hiring surge AND a recent funding round. Two signals that together mean the same thing: this company is in growth mode, has the capital to act, and is building the sales team that will need tools, data, and infrastructure to operate.

Intent signals help show which accounts may be researching topics related to your product. This prompt uses @Lusha in ChatGPT to find intent-matched accounts, enrich them, and identify who to contact next.

Companies that raised a funding round AND hired a new C-level executive. Two signals stacked — new capital and new leadership mean new priorities, new budget, and an open vendor evaluation window. Verified contacts, updated daily.

Selling into the right account only works if you start with the right person. This prompt uses @Lusha in ChatGPT to find relevant decision-makers, verify contact data, and recommend who to contact first.

12,000+ verified CTO contacts across Germany, Austria, and Switzerland. Verified emails, direct dials, and firmographics — from DAX enterprises to high-growth DACH tech companies.

A strong ABM campaign starts with the right accounts. This prompt uses @Lusha in ChatGPT to turn a campaign brief into a verified account list with signals, target contacts, and outreach angles.

5,900+ verified CMO and VP of Marketing contacts across the United Kingdom. Verified emails, direct dials, and firmographics — from FTSE 100 enterprises to high-growth UK tech companies.

A calling block is only as good as the data behind it. This prompt uses @Lusha in ChatGPT to verify contacts, check phone availability, flag DNC status, and prioritize who to call, email, remove, or review.

13,000+ verified Chief Revenue Officer contacts across the United States. Verified emails, direct dials, and company firmographics — the primary budget owner for revenue technology, sales infrastructure, and GTM platforms.

Before you send outreach, make sure your prospect is still in the right seat. This prompt uses @Lusha in ChatGPT to check job-change signals, verify current roles, and recommend whether to contact, replace, or update the record.

13,000+ verified VP of Sales contacts across the UK, Germany, France, Netherlands, Ireland, and the wider EMEA region. Verified emails, direct dials, and firmographics — ready to use in your CRM or outbound stack.

1,800+ companies where a VP-level executive joined from outside in the last 7 days. New budget owners who haven’t yet committed to any vendor, any tool, or any agenda.

Access 7,500+ companies with a fresh VP hire. Verified contacts ready to use in your CRM, your AI assistant, or your outbound stack.

Access 21,000+ companies with a new VP in their first quarter. Verified contacts ready to use in your CRM, your AI assistant, or your outbound stack.

Headcount growth can signal scaling pressure, new teams, and changing systems needs. This prompt uses @Lusha in ChatGPT to find growing accounts, enrich them, and identify who to contact next.

Regional hiring can signal market expansion, local team growth, or new operational pressure. This prompt uses @Lusha in ChatGPT to find accounts hiring in a specific location and identify who to contact next.

The freshest executive hire signal available. Verified contacts ready to use in your CRM, your AI assistant, or your automation stack.

2,800+ companies with a fresh C-level hire. Verified contacts ready to use in your CRM, your AI assistant, or your automation stack.

8,200+ companies with a new C-level leader in their first quarter. Verified contacts ready to use in your CRM, your AI assistant, or your automation stack.

A hiring surge in the right department can signal new pressure, budget, or operational change. This prompt uses @Lusha in ChatGPT to find accounts hiring into your target function and identify who to contact next.

Not every account signal means “reach out now.” This prompt uses @Lusha in ChatGPT to spot risk signals, explain what changed, and recommend whether to contact, hold, reframe, or multi-thread.

A website traffic spike can point to rising demand, campaign momentum, product interest, or market attention. This prompt uses @Lusha in ChatGPT to check your target accounts for recent traffic increases, supporting signals, and relevant contacts.

Not every company news signal deserves an email. This prompt uses @Lusha in ChatGPT to find recent account news, choose the strongest signal, identify the right contact, and write a relevant outreach message.

Increased IT spend can point to new systems, new tools, or active modernization. This prompt uses @Lusha in ChatGPT to find companies showing IT spend increases, enrich the accounts, and identify who to contact next.

Your best buyers show you what a good prospect looks like. This prompt uses @Lusha in ChatGPT to find similar contacts, verify their roles, enrich their data, and prioritize the best people to contact next.

Your best customers already show you what good-fit accounts look like. This prompt uses @Lusha in ChatGPT to find lookalike companies, enrich them, and prioritize the accounts most worth targeting.

Newly promoted buyers often have new goals, new pressure, and new authority. This prompt uses @Lusha in ChatGPT to find recent promotion signals, verify contact data, and write a timely first-touch angle.

Single-threaded deals are risky. This prompt uses @Lusha in ChatGPT to verify your current contacts, map missing buying roles, and recommend who to bring into the opportunity next.

Not every target account deserves the same attention. This prompt uses @Lusha in ChatGPT to enrich a raw account list, check for buying signals, and rank accounts by fit, urgency, and next best action.

Not every inbound lead is ready for sales. This prompt uses @Lusha in ChatGPT to verify the person, enrich the company, check recent buying signals, and recommend whether to route, nurture, or hold.

Companies that recently launched a product, shipped a major update, or announced a new integration. Product launches signal investment, momentum, and an active evaluation window for partner tools and GTM infrastructure. Verified contacts, updated daily.

Companies involved in recent mergers, acquisitions, facilities expansion, or strategic transactions. M&A creates immediate tool consolidation, vendor re-evaluation, and new budget cycles. Verified contacts, updated daily.

Companies where IT spending has increased — a direct signal of technology investment, infrastructure expansion, and active vendor evaluation. Verified contacts and direct dials, updated monthly.

Companies where engineering hiring is running significantly above their historical average. Signals platform investment, product expansion, and immediate demand for developer tools, cloud, and infrastructure. Verified contacts, updated weekly.

Companies showing a surge in sales hiring — volume significantly above their historical average. A sales hiring surge signals growth mode, new territory, and an immediate need for GTM tools. Verified contacts, updated weekly.

226,000+ verified Chief Technology Officer contacts globally. Verified emails, direct dials, and firmographics — the primary buyer for infrastructure, cloud, security, and developer platforms.

4,000+ verified VP of Revenue Operations and Head of RevOps contacts globally. Verified emails, direct dials, and firmographics — the decision-maker for CRM, data, enrichment, and GTM infrastructure.

191,000+ verified CMO and VP of Marketing contacts across the US, UK, EMEA, APAC, and LATAM. Verified emails, direct dials, and firmographics — ready to use in your CRM, AI assistant, or outbound stack.

26,000+ verified Chief Revenue Officer contacts across the US, UK, EMEA, and APAC. Verified emails, direct dials, and firmographics — the primary budget owner for revenue technology.

128,000+ verified VP of Sales contacts across the United States. Verified emails, direct dials, company firmographics, and location data — ready to use in your CRM, AI assistant, or outbound stack.

Companies where a C-level or VP-level executive recently joined from outside. New leaders bring new mandates, new vendor evaluations, and fresh budget authority. Verified contacts and direct dials, updated daily.

Companies that recently closed a funding round — Seed through IPO. New capital means new priorities, new vendor evaluations, and new budget authority. Verified contacts and direct dials, updated daily.

An email bounce doesn’t mean the account is dead. This prompt checks whether your contact is still in seat, finds verified replacement contacts at the same company, and writes the next email inside ChatGPT using @Lusha.

A prospect who missed your meeting didn't necessarily lose interest. Something happened. This prompt checks what changed at their account since the meeting was booked, uses the strongest new signal as the re-engagement hook, and writes the follow-up inside ChatGPT using @Lusha.

A LinkedIn connection request that references a specific signal converts better than one that says "I'd love to connect." This prompt builds a signal-grounded LinkedIn sequence — connection request, InMail, and follow-up — verified and written inside ChatGPT using @Lusha.

A cold call that opens with a verified signal converts better than one that opens with a product pitch. This prompt builds a complete phone-first sequence — opener, voicemail, and follow-up email — grounded in real Lusha data, directly inside ChatGPT.

Generic nurture emails get ignored. This prompt builds a three-step sequence where every email references a different verified signal from Lusha — so each touchpoint feels like it was written for that specific account, not a category.

Your sequence isn't underperforming because the writing is bad. It's underperforming because it could have been sent to anyone. This prompt rewrites it around your ICP's verified context and live signals — directly inside ChatGPT.

Everything you need to know before a sales call — firmographics, live signals, key contacts, and a reason to reach out — pulled from Lusha's verified database directly inside ChatGPT. One prompt, ready before the first ring.

Look up any B2B contact's verified title, email, direct dial, and company profile directly inside ChatGPT. One prompt with @Lusha, one pass, ready to reach out — no tab-switching, no separate enrichment tool.

From the moment a contact submits a form to the moment the right rep gets a Slack notification with full context — enriched, scored, routed, and briefed — without a human touching anything. This is the full Breeze inbound contact agent built on Lusha.

A campaign that goes out to stale contacts damages your domain and reaches people who can't act on it. This workflow verifies every contact on the list before the first email sends — so your domain stays clean and every message lands with someone who's still there.

A HubSpot company record that was accurate six months ago isn't accurate today. This workflow runs a weekly enrichment pass on every company automatically — refreshing firmographics, flagging stale contacts, and keeping your data current without anyone having to do it manually.

A funding round closed at an account in your pipeline two weeks ago. A new CRO joined last week. Nobody on the deal knows because nobody was watching. This workflow watches for them.

A champion who left five weeks ago and nobody noticed is a deal risk that shows up at the worst possible moment. This workflow catches it within 24 hours — and tells the rep exactly what to do next.

Enrichment tells you who the contact is. ICP scoring tells you whether they're worth calling. This workflow scores every enriched contact automatically and routes them to the right rep before anyone touches them.

Every new contact that hits HubSpot arrives incomplete. This workflow fixes that automatically — Lusha enriches every inbound contact with verified data before a rep ever opens the record.

From the moment a lead submits a form to the moment the right rep gets a Slack notification with full context — enriched, scored, routed, and briefed — without a human touching anything. This is the full Agentforce inbound lead agent built on Lusha.

A campaign that goes out to stale contacts damages your domain, inflates your bounce rate, and reaches people who can't act on it. This workflow verifies every contact on the list before the first email sends.

A CRM that was accurate six months ago isn't accurate today. This workflow runs a weekly enrichment pass on every account automatically — refreshing firmographics, flagging stale contacts, and keeping your data current without anyone having to do it manually.

A funding round just closed at an account in Stage 3. A new CRO joined two weeks ago. Nobody on the deal team knows because nobody was watching. This workflow watches for them.

A champion who left five weeks ago and nobody noticed is a deal risk that shows up at the worst possible moment. This workflow catches it in real time — and tells the rep exactly what to do next.

Enrichment tells you who the lead is. ICP scoring tells you whether they're worth calling. This workflow scores every enriched lead against your ICP automatically and routes them to the right queue before a rep touches them.

Every new lead that hits your Salesforce org arrives incomplete. This workflow fixes that automatically — Lusha enriches every inbound lead with verified contact data and firmographics before a rep ever opens the record.

A new RevOps leader inherits a stack they didn't choose and a mandate to improve it. This prompt finds the ones who just joined a company that matches your ICP — in the window before the first QBR closes the evaluation.

A Series A or B that just closed means budget just landed, headcount is about to grow, and the team is making vendor decisions before the next phase starts. This prompt finds them in the first 30 days — when the window is widest.

When a company adopts a new CRM, everything connected to it gets re-evaluated. This prompt finds the companies that just made the switch — and surfaces the contacts making the decisions.

Generic outreach gets ignored. This skill takes a contact, pulls their verified profile and live account signals via Lusha, and writes a first message grounded in what's actually happening at their company right now.

Most TAM estimates are built from analyst reports and rough math. This skill builds yours from the actual companies and contacts in your market — verified, segmented, and ready to present.

A trigger fired. Now you need a sequence. This skill takes the signal, the contact, and the context — and writes a full multi-step cold sequence grounded in what actually happened at the account.

The company that said no nine months ago might have a new VP, a fresh funding round, and an open vendor evaluation right now. This prompt finds the ones worth calling back — and tells you exactly what to say.

Most territory plans are built from a spreadsheet and a gut feeling. This one is built from verified data, live signals, and your actual closed-won patterns — so every rep starts the quarter knowing exactly which accounts to work first.

The best expansion conversations happen before the QBR, not during it. This prompt finds the signals that tell you which accounts are ready to grow and gives you a reason to reach out before they ask.

By the time a customer tells you they're churning, the decision is usually already made. This prompt finds the signals that show up weeks before that conversation — so you can have a different one instead.

ICP fit tells you who could buy. Intent tells you who's looking right now. This prompt finds the accounts where both are true at the same time.

Most ICPs are built from opinion. This one is built from your actual closed-won data — the firmographics, signals, and patterns that show up consistently in the deals you've already won.

Not every deal in your pipeline is equal. This prompt tells you which ones look like your historical wins, which ones don't, and what's missing before you find out the hard way at the end of the quarter.

No list-building. No filter panels. Tell Lusha what you sell and who you sell to — it finds the 10 accounts most likely to convert this week, cross-checks your calendar and inbox so you're not duplicating work, and hands you a ranked list ready to act on.

Your best customers already told you who to call next. This prompt finds the companies that look most like them — scored by fit, verified by Lusha, ranked by signal strength.

A new VP of Sales just joined a company that looks like your best customer. They're in their first 30 days, the stack isn't locked, and the window closes fast. This prompt finds them, verifies them, and drafts the first email.

You have a company name or domain. You need the full picture — who they are, how big they are, what's happening there right now. This skill returns it in one pass.

You have a name. You need to know if they're still there, what their current title is, and how to reach them. This skill answers all three in one pass.

Every deal in your pipeline has a story. This skill reads all of them — flags what's stale, what's missing, and what's about to slip — before your weekly review.

Bad data costs more than you think. This skill verifies, enriches, and cleans any contact or account list against Lusha's verified B2B data — in one pass.

You're in a competitive deal. This skill tells you what's changed at the competitor, who's left, what their customers are signaling, and where your displacement angles are.

A new lead lands. Before it hits the AE, this skill scores it against your ICP, verifies the contacts, and tells you exactly where it should go — and why.

Your book of business changes every month. This skill tells you which accounts are growing, which are at risk, and who to call before it's too late.

Your territory changes every week. This skill tells you what moved, who changed roles, and which accounts are worth calling — before your Monday pipeline review.

You know the company. You just need to find the right person, get their verified contact details, and send something worth reading. This skill does all three in one pass.

Map every decision-maker, influencer, and blocker at a target account. Verified contacts, role classification, coverage gaps, and multi-thread risk — in one buying group map.

The Account Intelligence Skill pulls a decision-ready brief on any target account — shaped by whether you're prepping for a QBR, working a competitive deal, or triaging an inbound. Verified contacts, ranked buying signals, and next steps in one pass.

This Claude prompt builds the Monday-morning GTM digest for the whole team — Lusha signals from the last 7 days, pipeline thread movement from Gmail, data quality alerts for contacts on active deals, and upcoming meeting prep from Calendar — all posted to a single Slack channel before the week starts. One read, four sections, one thing to act on today. Built on Claude with the Lusha, Gmail, Google Calendar, and Slack connectors.

This Claude prompt enriches a lead list by source via Lusha, grades every lead A through C against the ICP, calculates ICP fit rate per source, ranks sources by quality rather than volume, and returns a directional budget recommendation. Know which sources are producing ICP-fit pipeline before spending another quarter's budget on the wrong channels. Built on Claude with the Lusha connector.

This Claude prompt scores every customer account on five dimensions before the QBR cycle — contact coverage, engagement recency, account signals, renewal proximity, and CS commitment hygiene — using Lusha for contact validation and signal detection, and Gmail for conversation health. Returns GREEN / AMBER / RED per account with a specific recommended action for every RED and AMBER. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt scores every active deal for end-of-quarter close probability — Lusha validates every contact and surfaces account signals, Gmail checks thread recency and open rep commitments, and the output is a ranked STRONG / POSSIBLE / UNLIKELY / PUSH list with ACV totals before the forecast call. Not a stage-based filter — a signal-based probability score. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt extracts every commitment, open question, and next step from a Zoom transcript, validates the prospect's contact via Lusha, checks Gmail for any prior outstanding commitments, and generates a structured follow-up under 200 words with specific sections for what the rep will do, what the prospect committed to, and open questions. Written before the next meeting gets booked. Built on Claude with the Zoom, Lusha, and Gmail connectors.

This Claude prompt pulls the firmographic profile of a best closed-won customer via Lusha, finds companies that match the same industry, size, and signal profile, maps a verified contact at each, and returns a Priority A / B / C scored list ready to call. Start every prospecting sprint from a winner, not a blank ICP.

This Claude prompt builds a complete ramp pack for a new sales rep before day one — Lusha finds companies matching the territory, maps verified contacts with signal scores, assigns Priority A / B / C tiers, and writes a specific first-week outreach plan with three opening lines ready to use. The rep starts calling on day one, not week three. Built on Claude with the Lusha and Slack connectors.

This Claude prompt validates every contact across a rep's active pipeline via Lusha before a 1:1 — flags departed contacts on live deals, surfaces missing buying roles, scores each deal GREEN / AMBER / RED, and returns a coaching observation based on the pattern across the full pipeline. Walk into the 1:1 knowing what's broken before the forecast call finds it. Built on Claude with the Lusha connector.

This Claude prompt maps overlapping accounts between two partner companies — Lusha validates every shared account, Gmail checks which side has an existing relationship, and the output is a prioritized co-sell list with a clear classification per account: we introduce the partner, the partner introduces us, both active and coordinated, or joint outreach territory. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt scans ICP segments for buying signal density via Lusha — counts funding rounds, exec hires, and headcount surges per segment, ranks segments by signal density rather than total count, and returns a heat map with recommended budget shifts for the demand gen team. Know where intent is highest before allocating spend. Built on Claude with the Lusha and Slack connectors.

This Claude prompt audits every active pipeline account for marketing coverage — Gmail checks whether a marketing email has ever been sent to the company domain, Lusha maps additional verified contacts in the buying function, and the output is a prioritized action list for marketing sorted by ACV. The play that shows marketing where pipeline is running blind. Built on Claude with the Lusha, Gmail, and Slack connectors.

This Claude prompt builds a verified contact list for a cold email campaign — Lusha finds contacts matching the target persona, grades every email A or B only, checks Gmail for prior contact history, flags buying signals per account, and segments the list into three send waves. No bounces. No duplicate outreach. No contacts who left the company. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt checks every inbound form fill against the ABM target account list via Lusha — a junior contact from a Tier 1 account is a buying signal, not a standard MQL. Finds the account owner, checks for an active deal, surfaces the most senior contact in the buying function, and posts an alert to Slack before anyone routes it as standard inbound. Built on Claude with the Lusha, Gmail, and Slack connectors.

This Claude prompt replaces form-fill firmographic data in an MQL list with Lusha-verified titles, headcount, funding stage, and ICP grades — then re-routes every lead based on the verified grade, checks Gmail for active deals before routing, and produces a one-line rep brief per routed lead. The play that makes the marketing-to-sales handoff trustworthy. Built on Claude with the Lusha, Gmail, and Slack connectors.

This Claude prompt scores every post-event or post-webinar lead via Lusha, checks Gmail for prior sales contact at each company, prioritizes P1 through P4, drafts a handoff note per lead for the sales rep, and posts the priority alerts to Slack — before sales reaches out cold to someone marketing already spoke to. Built on Claude with the Lusha, Gmail, and Slack connectors.

This Claude prompt enriches a webinar or event registrant list via Lusha before pre-event emails go out — validates every submitted title against the verified record, ICP-scores each registrant, segments the list for personalisation, and flags departed contacts and title mismatches before a single email is sent. Built on Claude with the Lusha connector.

This Claude prompt takes a flat list of company names, enriches every account with verified firmographics and buying signals via Lusha, segments the list by profile, identifies the right contact per account, and returns a specific message angle per segment — ready for email, paid, or direct outreach. Built on Claude with the Lusha connector.

This Claude prompt turns a campaign brief into a verified ABM target list in one pass — Lusha finds accounts matching the ICP, checks buying signals per account, validates the right contacts, and returns a three-tier list ready for paid, outbound, or personalized outreach. The first marketing play in the Lusha Campus library. Built on Claude with the Lusha and Slack connectors.

This Claude prompt searches internal Confluence documentation for any page relevant to a prospect's use case before a first call or outreach — integration guides, competitive positioning, anonymised customer stories, or product documentation. Returns specific talking points from real Confluence content, not generic claims. Built on Claude with the Lusha and Atlassian connectors. One Atlassian connection covers both Jira and Confluence.

This Claude prompt searches Jira for any open or recently resolved ticket related to a customer before a renewal or QBR call, checks Gmail to see whether the customer was informed, validates the contact and account signals via Lusha, and returns a GREEN / AMBER / RED risk rating with specific prep guidance. One Atlassian connection covers both Jira and Confluence.

This Claude prompt finds every open commitment across active deal threads in Gmail, validates each contact via Lusha, and creates a Jira ticket per commitment — assigned, due-dated, and labelled. Open commitments stop living in a rep's head and start living in the system where delivery is tracked. Built on Claude with the Lusha, Gmail, and Atlassian Jira connectors.

This Claude prompt searches Jira for any issue, bug, or feature request related to a prospect before a re-engagement, renewal, or competitive call — checks whether the issue is open or resolved, whether the prospect was informed, and returns a specific recommended handling. Built on Claude with the Lusha, Gmail, and Atlassian Jira connectors.

This Claude prompt creates a structured Confluence customer page when a deal closes — Lusha validates and maps all contacts, Gmail pulls what the customer said the problem was and every promise made in the sales process, and the page lands in the CS Confluence space from day one. The permanent knowledge record that replaces the AE debrief. Built on Claude with the Lusha, Gmail, and Atlassian Confluence connectors.

This Claude prompt builds a complete QBR deal review document in Google Drive before the call — Calendar confirms the meeting, Lusha validates all attendees, Gmail surfaces the full thread history and open commitments, Zoom pulls recent call context, and Drive saves the finished doc. The pre-QBR workflow that currently takes 45 minutes, in one pass. Five connectors, one output.

This Claude prompt surfaces every competitor mention across a month of Zoom call transcripts — clusters by frequency, deal stage, and prospect language, checks Lusha for talent moves between competitors and target accounts, and returns an intelligence card per competitor plus a strategic read on the most active threat this month. The only competitive intelligence play in the library. Built on Claude with the Zoom and Lusha connectors.

This Claude prompt builds a complete deal handoff document in Google Drive when a rep is going to be out — Calendar pulls upcoming meetings, Gmail surfaces open threads and commitments, Lusha validates every deal contact, and the doc is saved to Drive and linked in Slack before the rep leaves. The covering rep walks in with full context. Built on Claude with the Lusha, Gmail, Google Calendar, Google Drive, and Slack connectors.

This Claude prompt finds the confirmed meeting time in a Gmail thread, creates the Google Calendar event with a Meet link, validates the prospect's contact details via Lusha, and drafts the confirmation email — all without leaving Claude. The first play in the library to use Calendar.create_event. Built on Claude with the Lusha, Gmail, and Google Calendar connectors.

This Claude prompt builds a mutual success plan Slack Canvas immediately after the first customer kickoff call — Zoom pulls the transcript, Lusha validates all contacts, and the Canvas lands in the customer's Slack channel with what success looks like in the customer's own words, the 90-day milestones, and every commitment on both sides. CS starts with a document, not a blank page.

This Claude prompt builds a structured Slack Canvas for a strategic deal — buying group verified via Lusha, thread history from Gmail, next meeting from Calendar, open commitments, account signals, and deal health in one living document. Updated weekly. The deal room that replaces scattered CRM notes, Slack messages, and spreadsheet tabs. Built on Claude with the Lusha, Gmail, Google Calendar, and Slack connectors.

This Claude prompt searches Google Drive and Gmail for any prior history with a company before the first cold touch — previous proposals, failed deals, prior contacts, existing internal relationships. Returns a pre-outreach intelligence brief with the recommended approach, who to avoid, and an opening line adjusted for what was found. Built on Claude with the Lusha, Gmail, and Google Drive connectors.

This Claude prompt audits a proposal in Google Drive against every question, concern, and commitment in the Gmail thread before the proposal goes out. Returns a COVERED / PARTIAL / MISSING verdict per item, suggested language for every gap, and an overall READY TO SEND / NEEDS UPDATES / DO NOT SEND verdict. The pre-send check that stops a deal from stalling on something the rep forgot to include.

This Claude prompt finds the most relevant case study in Google Drive when a prospect asks for one, confirms the prospect's contact details via Lusha, and drafts the send email — referencing exactly what the prospect asked for, not a generic "here's a case study." Three connectors, one pass, done before the next call.

This Claude prompt qualifies an inbound lead in under 60 seconds — Lusha validates the contact and checks ICP fit in real time, Gmail checks for any prior contact with the account, and the output is a one-screen call brief with a specific opening line. Read it while the phone rings. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt enriches a conference badge scan list via Lusha — validates every title, fills missing emails and phones, ICP-scores each attendee, checks Gmail for prior contact, and drafts a specific first-touch email for every Grade A and B attendee. The email references the event honestly — whether the rep met the attendee in person or not. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt scores every account against three live inputs — Lusha buying signals, open Gmail threads, and upcoming Google Calendar meetings — and returns a P1–P4 ranked list with one specific action per account. Run it Monday morning. Work through the list in order. Built on Claude with the Lusha, Gmail, and Google Calendar connectors.

This Claude prompt checks what's actually happening at a target account right now via Lusha's signals layer, cross-references any prior email history in Gmail, and returns a specific timing recommendation — NOW, SOON, HOLD, or COLD APPROACH — with a verified contact and a specific opening angle. Reaching out at the wrong moment is the most common reason a good pitch gets ignored.

This Claude prompt runs a lightweight weekly check on CRM contacts via Lusha — surfaces only what changed since the last run, flags departures on active deal accounts as urgent, and posts a concise change summary to Slack. No full quarterly audit required. No unchanged contacts in the output. Just what needs attention, sorted by urgency.

This Claude prompt enriches every inbound lead with verified title, direct phone, company firmographics, and ICP score via Lusha before the lead reaches a rep. Gmail checks for prior contact history. A Slack alert posts the enriched record with the recommended action and tags the rep or SDR who should own it. No more name-and-email handoffs.

This Claude prompt builds a verified B2B contact database for a new sales territory from scratch — Lusha finds companies matching the territory criteria, maps the right contacts at each, validates every email and direct phone, assigns priority tiers based on signals and seniority, and returns a first-week outreach plan. Built for new reps and territory expansions.

This Claude prompt verifies a B2B email address against live Lusha data before any outreach goes out — confirms the address is current, checks Gmail for prior bounce history, flags any title change that should change how the email is written, and finds a replacement contact if the original has left. Takes under 60 seconds.

This Claude prompt audits a Apex Sales Co or Meridian CRM contact export — validates every record against live Lusha data, flags stale titles, departed contacts, duplicates, and missing fields, and returns a scored clean file ready to reimport. The data quality audit every RevOps manager runs before a quarterly push. Built on Claude with the Lusha connector and a pasted CRM export.

This Claude prompt finds every lead in a Salesforce or HubSpot export that was never followed up — Gmail confirms no outbound email was ever sent, Lusha validates whether the contact is still reachable, and Claude drafts a first-touch email for every Priority 1 and Priority 2 lead. The pipeline already paid for, sitting unworked. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt scores every open opportunity in a Salesforce or HubSpot export for data completeness before the forecast call — Lusha validates every deal contact, assigns a GREEN/AMBER/RED/CRITICAL risk rating per deal, calculates ACV exposure by confidence tier, and returns a forecast summary paragraph with a verified pipeline number. Built on Claude with the Lusha connector and a pasted CRM export.

This Claude prompt posts a morning pipeline brief to a Slack channel before the first call — today's external meetings with verified attendees, Gmail threads that need attention before EOD, and a Lusha contact health check on every deal with a meeting today. Four connectors. One post. The daily standup that writes itself.

This Claude prompt scans target accounts for buying signals via Lusha, checks Gmail to see whether anyone already has a thread with the account, and posts a Slack alert with the verified contact and one specific suggested first move — before the window closes. Built on Claude with the Lusha, Gmail, and Slack connectors.

This Claude prompt posts a structured new customer brief to the CS Slack channel the moment a deal closes — validated contacts, what the customer said the problem was — in the customer's own words, every promise made during the sales process, open concerns, and early expansion signals. CS starts the relationship informed, not from scratch. Built on Claude with the Lusha, Gmail, and Slack connectors.

This Claude prompt finds every contact in an active account who hasn't received an outbound email in 90 or more days, validates each contact via Lusha, and drafts a specific re-engagement email for every cold contact. Relationships that have gone cold through neglect — not because the account is dead. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt surfaces every open commitment across active deals — things the rep promised to send, questions that went unanswered, steps the prospect committed to taking — by scanning Gmail threads and Google Calendar. Lusha validates each contact. The full log posts to Slack before the pipeline review. Four connectors, one pass.

This Claude prompt checks Gmail for any prior email history with a prospect before a cold call, validates the prospect's current title and pulls a verified direct dial via Lusha, and returns a one-screen brief the rep reads while the phone is ringing — who to ask for, what was said before, the account signal, and one specific opening line.

This Claude prompt searches Gmail for outbound threads where a prospect replied but never booked a meeting, validates each contact and checks for account signals via Lusha, prioritizes the list, and drafts a re-open email for every Priority 1 and Priority 2 prospect. The highest-value pipeline recovery play in the library. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt pulls the last Gmail thread with a prospect, validates their current title and contact details via Lusha, and drafts a follow-up that references what they actually said. Not a generic check-in — a specific next step from the exact point where the conversation stopped. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt validates every contact on a send list before a campaign launches — checks who's still at their company, whose email will bounce, and whose title has changed enough to break personalization tokens. Returns a SEND / UPDATE FIRST / DO NOT SEND decision per contact, a deliverability risk rating, and estimated bounce rate if sent as-is.

This Claude prompt produces a full territory data quality report before the quarter starts — Lusha validates every contact, flags stale and departed records, cross-references them against active deals, and returns the ACV at risk and a 1:1 talking point the manager can use with the rep. Built on Claude with the Lusha connector and CRM data pasted in.

This Claude prompt audits the firmographic accuracy of a target list before a campaign or territory review launches — Lusha checks current headcount, industry, geography, and structural changes for every company. Returns IN ICP / DRIFTED IN / DRIFTED OUT / ACQUIRED verdicts and a campaign readiness rating.

This Claude prompt scores a rep's account list data quality before a QBR — Lusha validates every primary contact, maps contact health to pipeline, and returns a GREEN/AMBER/RED scorecard, total ACV at risk, three specific coaching observations, and a QBR talking point the manager can use in the room.

This Claude prompt audits whether the right contacts are mapped across named accounts — not just whether any contact exists, but whether every required buying group role is covered. Lusha maps current verified contacts per role, flags critical gaps and stale contacts, and returns replacement contacts for every gap found.

This Claude prompt scans a book of accounts for ones where the primary contact relationship has gone dark — Lusha checks whether the contact is still there, Gmail checks when engagement dropped off. Returns DARK / COOLING / ACTIVE per account with replacement contacts and specific re-engagement actions for every DARK account.

This Claude prompt builds a data quality SLA report for the full pipeline — Lusha verifies every deal contact, calculates ACV exposure by verification status, flags CRITICAL FAIL deals at late stages, and returns an executive summary with a dollar figure, compliance rate, and one specific recommendation.

This Claude prompt checks whether a contact's CRM title is still current via Lusha before outreach — catches promotions, role changes, and departures in seconds. Returns the verified current title and one note on what changes about the outreach if the title has shifted.

This Claude prompt finds the verified current email address when an outreach email bounces. Lusha searches by name and company, confirms the contact is still there, and returns the verified work email — or finds the replacement if they've left. Takes under 60 seconds.

This Claude prompt pulls every external meeting from your Google Calendar, validates every attendee and scans every account via Lusha, and returns a chronological brief — who's in each room, what changed, one thing to know before each call. Built on Claude with the Lusha and Google Calendar connectors.

This Claude prompt finds the right decision-maker at a company, validates their details via Lusha, finds a signal worth leading with, and drafts the first outreach email — all in one pass. The most common Lusha workflow, made complete. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt checks key contacts at strategic accounts via Lusha, detects departures and role changes, finds the replacement, and posts a direct Slack alert to the account owner with a specific recommended next action. Same-day detection instead of finding out in a QBR. Built on Claude with the Lusha and Slack connectors.

This Claude prompt monitors your pipeline for M&A signals via Lusha, detects when a prospect is acquired, assesses the deal impact — freeze risk, re-route risk, or opportunity — and posts a Slack alert to the deal owner and manager before it becomes a call-time surprise. Built on Claude with the Lusha and Slack connectors.

This Claude prompt posts a pre-call brief to a Slack channel before a multi-person prospect call — validates every external attendee via Lusha, scans the account for signals, surfaces one alignment point the team should agree on before joining, and assigns who leads what. Under 200 words. Posted before anyone has to ask. Built on Claude with the Lusha, Slack, and Google Calendar connectors.

This Claude prompt validates every external attendee on your next call via Lusha in 90 seconds — confirms current titles, flags anyone whose role changed, runs a quick account signal check, and returns one specific thing to lead with before the call starts. Works with any video platform. Built on Claude with the Lusha and Google Calendar connectors.

This Claude prompt drafts the follow-up email from a Zoom transcript — extracts what was said, what was asked for, and what was agreed, validates every send-to contact via Lusha, and returns a draft under 150 words ready to send from Gmail. Built on Claude with the Lusha, Zoom, and Gmail connectors.

This Claude prompt identifies which customer segment is expanding fastest by cross-referencing your expansion data with verified Lusha firmographic attributes — industry, size band, function headcount, signals. Returns the top attributes correlated with expansion, the fastest-growing sub-segment, and the customers in your base who match the expansion profile but haven't expanded yet. Built on Claude with the Lusha connector and CRM data you paste in.

This Claude prompt audits a quarter's worth of SDR-to-AE handoffs — validates whether each passed lead was actually qualified at handoff using Lusha, grades the handoffs A through D, cross-references grade with outcome, and surfaces the top patterns driving bad handoffs by SDR, lead source, and ICP criterion. Built on Claude with the Lusha connector and CRM data you paste in.

This Claude prompt checks whether a new account fits the assigned rep's territory criteria before outreach begins — validates firmographic fit via Lusha, confirms the right first contact, and returns ROUTE CONFIRMED, RE-ROUTE, or ROUTE WITH CAVEAT. Built on Claude with the Lusha connector and territory rules you paste in.

This Claude prompt scans a territory for accounts that are unassigned, misrouted to the wrong rep, or have grown past their current tier — using verified Lusha firmographic data. Returns a coverage report ranked by ACV and signal, with the correct assignment for each flagged account. Built on Claude with the Lusha connector and territory data you paste in.

This Claude prompt finds which trigger signals are actually producing pipeline — not which ones your team assumes are working. Cross-references won opportunities against stalled outreach using Lusha to verify signal presence, returns a conversion rate per signal, identifies combinations that outperform single triggers, and flags any signal consuming outreach capacity without producing pipeline. Built on Claude with the Lusha connector and CRM data you paste in.

This Claude prompt validates and grades a batch of inbound leads before they reach an AE — confirms ICP fit via Lusha, checks whether the submitted title matches the verified title, reads seniority, and returns a graded list with a routing recommendation per lead. Grade A goes to AE, Grade D doesn't route. Built on Claude with the Lusha connector and lead data you paste in.

This Claude prompt researches an inbound lead before the callback — validates who they actually are via Lusha (form titles are unreliable), enriches the company, checks for signals that might explain why they came in now, and returns a pre-call brief with a lead quality read and a specific first question. Built on Claude with the Lusha connector.

This Claude prompt fires when someone you know changes jobs. Lusha validates where they landed and checks whether the new company is a fit. The output is a verified contact, a quick ICP read, and one outreach message written for the specific relationship — past customer, warm prospect, or cold — ready to send while the move is still fresh. Built on Claude with the Lusha connector.

This Claude prompt builds a one-screen research brief before any outbound touch — email, LinkedIn, or phone. Lusha validates the contact, enriches the company, and surfaces one signal worth leading with. The output includes verified contact details, a company snapshot, and an opening angle written for this specific person. Built on Claude with the Lusha connector.

This Claude prompt builds a target account list against your ICP using one verified Lusha call per account instead of the web-research loop a model runs when it has to assemble each record from scratch. Built on Claude with the Lusha connector.

This Claude prompt scores a new target list against your ICP criteria using verified Lusha firmographic data — headcount, industry, geography, function size, and active signals. Returns a tiered list: STRONG FIT, FIT, PARTIAL FIT, DISQUALIFIED — with the right first contact for every workable account and a one-line reason for every disqualified one. Built on Claude with the Lusha connector.

This Claude prompt builds a quarterly contact change log across your account base — who left, who replaced them, and which accounts have a coverage gap with no verified replacement. Returns three categories: COVERED, GAP, and ROLE CHANGED, with verified replacement details and a recommended action for every gap account. Built on Claude with the Lusha connector.

This Claude prompt validates every contact in a CRM territory before a QBR cycle — checks who's still at the account, who's changed roles, and who's left, then finds replacements via Lusha. Returns a structured contact health report: CURRENT, TITLE CHANGED, DEPARTED, UNVERIFIED. Flags accounts where a key contact departure makes QBR prep a risk. Built on Claude with the Lusha connector.

This Claude prompt runs a weekly pipeline review before the team standup — scans every active deal for structural account risk via Lusha, checks meeting cadence via Google Calendar, and returns a one-screen health report with RED / AMBER / GREEN ratings and a specific standup question for every deal at risk. Built on Claude with the Lusha and Google Calendar connectors.

This Claude prompt checks whether a dead outbound thread is worth re-engaging. Lusha scans for new signals at the account since the last touch. Gmail pulls the original thread to check how many times you reached out and whether anything was said. Returns one of four decisions — RE-ENGAGE, HOLD, NEW CONTACT, or ARCHIVE — and writes the re-entry message if the signal is there. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt builds a cold call brief before you dial — validates the contact, pulls their verified direct number via Lusha, finds the one account signal worth leading with, and returns an opening line under 20 words, the expected first objection, and a clear goal for the call. One screen. Built on Claude with the Lusha connector.

This Claude prompt writes a 4-touch cold sequence — 3 emails and a LinkedIn message — built from a specific trigger event at the prospect's company. Lusha validates the contact before writing anything. Gmail checks for prior threads so a cold sequence doesn't land on top of an existing conversation. Every touch references the trigger. Word limits are enforced. Built on Claude with the Lusha and Gmail connectors.

This Claude prompt builds a prospect list from a live trigger signal — a funding round, a new exec hire, a headcount spike — rather than a static job title filter. Lusha surfaces accounts where the signal is confirmed active in the last 90 days, identifies the right first contact at each one, and returns a tiered list with a specific outreach angle for each account. Built on Claude with the Lusha connector.

This Claude prompt builds your pre-meeting brief for a QBR or executive review — validates every attendee via Lusha, scans the account for changes since your last meeting, identifies the decision-maker, the likely skeptic, and the likely champion in the room, and recommends the one narrative that connects your value to what's happening at the account right now. Built on Claude with the Lusha and Google Calendar connectors.

This Claude prompt diagnoses why a deal went quiet — contact gone, structural change at the account, engagement drop, or your own dropped thread — and prescribes one clear next action. Lusha checks what changed at the account. Gmail shows what was last said and who sent the last email. Built on Claude with the Lusha and Gmail connectors.

A Claude prompt for AEs. At any deal stage, this play maps the full verified buying group at the prospect via Lusha, cross-references who you've already touched via Gmail, and returns a coverage audit — critical gaps for your current stage, stale threads that are forecast risk, and the next two or three prescribed touches with verified contacts and a specific angle for each.

A Claude prompt for CS and AMs. This play scans your book of business for accounts showing signals that typically precede an expansion conversation — headcount growth in the user team, new hires in functions you don't currently sell into, funding rounds, and exec arrivals that tend to widen vendor scope. Returns a ranked shortlist with the specific signal and a suggested opening for each account. Built on Claude with the Lusha connector.

A Claude prompt for CS and AMs. Before a QBR cycle, this play scans your book of business for structural signals — executive changes, headcount contraction, M&A — via Lusha, and cross-references engagement gaps from Gmail. Returns a ranked shortlist of accounts that need attention before the quarter closes, with a specific flag and recommended action for each one.

A Claude prompt for CS and AMs. When your champion leaves — or stops responding and you suspect they've gone — this play maps who's still at the account, identifies the person most likely to have inherited the relationship, confirms their contact details via Lusha, and drafts the re-entry email from the context in your Gmail thread. Built on Claude with the Lusha and Gmail connectors.

A two-phase Claude prompt for CS and AMs. Before the Zoom: Calendar finds the renewal or expansion call, Lusha validates who's attending and scans the account for changes, Gmail surfaces the last thread. After the Zoom: the recording transcript tells Claude what was agreed, and it drafts the follow-up with the right contacts and a clean summary. Built on Claude with the Lusha, Google Calendar, Gmail, and Zoom connectors.

A Claude prompt that reads the signing or contract-review call on your calendar, then validates every decision maker on it with Lusha before you walk in — confirms signing authority, current roles, and any structural change at the account that would re-route the deal. Built on Claude with the Lusha and Google Calendar connectors.

A Claude prompt that re-verifies a list of CRM contacts against live data — catches the dead numbers, changed titles, and departed contacts before a rep wastes a touch on them.

A Claude prompt that runs the final pre-close check before a contract goes out for signature — validates signing authority, confirms current buying group roles, and surfaces any structural changes at the prospect that would re-route the deal.

A Claude prompt that runs a readiness check before advancing a deal's CRM stage — confirms whether the buying group coverage justifies the advance or surfaces the specific touches needed first. Built for AEs about to update a stage and Sales Managers running forecast hygiene.

A Claude prompt that scans a prospect's recent and upcoming events and surfaces real buyer-side urgency — closing budget windows, mandate cycles ending, fiscal crossings — that legitimately compresses the time to close without manufacturing pressure.

A Claude prompt that audits multi-thread coverage on an open deal — verified buying group vs current touches, gaps surfaced by deal stage, next-touch sequence prescribed. Built for AEs and Sales Managers running deal reviews.

A Claude prompt that scans a stuck deal's account for fresh signal triggers since the last touch — and maps each one to a specific re-engagement hook. No "checking in." Real reasons to re-open.

A Claude prompt that scans an existing customer's recent events and surfaces the structural moments when their budget reopens — post-funding, fiscal year start, new leadership mandate, post-acquisition rationalization. Connect Lusha and run.

A Claude prompt that surfaces the right adjacent-function buyer at your existing customer for a cross-sell — verified contacts at the new function, with a warm-introduction path from your existing champion. Connect Lusha and run.

A Claude prompt that surfaces new buying centers inside an existing customer — new regional offices, new product lines, new business units — with verified contacts in each. Built for CSMs whose customers are expanding faster than the original contract scope.

A Claude prompt that finds the verified replacement contact when your champion leaves the customer — cross-validated against the live contact record, ranked by likelihood of inheriting the scope. Connect Lusha and run.

A Claude prompt that takes one known contact at an existing customer and expands the relationship map to 6-8 verified peers, adjacent function leaders, and executive sponsors. Built for CSMs and AMs running expansion plays.

A Claude Skill for CSMs and AMs that scans your customer book monthly, surfaces the accounts showing expansion or renewal-risk signals, and drafts the outreach for both in one chat. Install in three clicks.

A Claude prompt that scans your customer book for deterioration signals that precede churn — executive departures, layoffs, lawsuits, M&A as the acquired party. Built for CS leadership wanting 90-day warning, not 30-day surprise.

A Claude prompt that scans your customer book and surfaces which accounts are showing expansion signals — funding rounds, hiring surges, leadership changes, new product launches. Built for CSMs and Account Managers running expansion plays.

A Claude prompt that scans closed-lost accounts and surfaces the subset where a real re-engagement trigger has fired since the deal was lost — new CRO, fresh funding, product launch, or hiring surge. Connect Lusha and run.

A Claude prompt that scans an account list and finds the ones firing multiple buying signals at once — funding plus hiring plus leadership change. The short list of accounts to call this week, ranked by signal density. Powered by Lusha.

A Claude prompt that runs a weekly signal digest on your saved territory — fresh funding rounds, hiring surges, leadership moves, and product launches across your accounts, ranked by intensity. Built for the Monday morning rhythm.

A Claude prompt that pulls a structured pre-call brief on a single target account — every recent signal, leadership change, M&A event, product launch, and hiring shift in one scan. Built for AEs running discovery and CSMs running strategic reviews.

A Claude prompt that scans your CRM contact list for promotions and company changes — surfacing who in your pipeline just got a new mandate, and which contacts moved on. Connect Lusha and run.

A Claude prompt that takes your target account list and surfaces which accounts have recent funding rounds, hiring surges, or news events worth acting on. Built for AEs working active territories and ABM teams prioritizing the week.

A Claude prompt that takes an account list, enriches each row with verified firmographics and signals, and scores every account against your ICP — Tier A, B, or C — ready for territory planning or campaign sequencing. Connect Lusha and run.

A Claude prompt that takes a list of email addresses — webinar registrations, form fills, MQLs — and returns the verified person behind each one. Connect Lusha and run.

A Claude prompt that takes multiple overlapping contact lists — exports, captures, manual entries — and collapses them to one verified row per person. Connect Lusha and run.

A Claude prompt that takes a list of company domains and returns full firmographics, funding history, headcount, location footprint, and growth signals per company. Connect Lusha and run.

A Claude prompt that takes CRM records 12+ months old and surfaces both the refreshed fields and what changed since the last update — promotions, company moves, expanded scope. The page tells you what's worth re-engaging.

A Claude prompt that runs pre-flight validation on a campaign list before you press send — confidence grades, domain match, multi-email selection, and bounce risk surfaced inline. Connect Lusha and run.

A Claude prompt that takes a partial contact list — names without emails, LinkedIn URLs without phones, emails without titles — and fills the missing fields with verified data. Connect Lusha and run.

A Claude prompt that takes a messy CRM contact export and returns a cleaned, validated list — current titles, email confidence grades, Do Not Call flags, and promotion signals. Connect Lusha and run.

A Claude Skill that runs verified prospecting and personalized email drafting in one session — Lusha builds the list, Claude writes the messages, Gmail holds the drafts for review. Install in three clicks.

A reusable Claude Skill that lives inside a Claude Project. Install it once and every prospecting request returns a verified, callable list — no prompt copy-paste, no filter guessing.

A Claude prompt that finds verified contacts in your target persona who recently changed roles — promotions or new companies — with the new title, the move date, and a validated email and direct dial. Connect Lusha and run.

A Claude prompt that finds verified companies with a hiring surge into a target function — with surge percentage, baseline comparison, and a verified buying group. Connect Lusha and run.

A Claude prompt that finds verified companies that closed a funding round in your target window — with round size, round date, and a verified buying group ready for outreach. Connect Lusha and run.

A Claude prompt that takes a list of named contacts and re-validates each one's direct dial and email before you start calling — with Do Not Call flags and email confidence grades surfaced inline. Connect Lusha and run.

A Claude prompt that returns a verified org chart for a target account — by department, by seniority, every contact callable. Connect Lusha and run.

A Claude prompt that maps the full buying group inside a target account — economic buyer, technical evaluator, end user, and influencer — with verified contacts at every level. Connect Lusha and run.

A Claude prompt that takes a named account list and returns the right verified contacts inside each — organized by buying role, with email and direct dial. Connect Lusha and run.

A Claude prompt that takes one known buyer — a champion, a closed-won contact, an active responder — and returns a verified list of more contacts at other companies with the same profile. Connect Lusha and run.

A Claude prompt that takes a seed list of your best customers and returns verified lookalike companies — sized, located, and ready to filter into your next outbound batch. Connect Lusha and run.

A Claude prompt that builds a verified prospect list inside a specific country, region, or metro — with regional accuracy bands and compliance footprint surfaced upfront. Connect Lusha and run.

A Claude prompt that returns verified companies using a specific tool, platform, or technology — paired with the right buyer contacts inside each. Connect Lusha to Claude, name the tech, and get a sequence-ready list.

A Claude prompt that turns a plain-English ICP into a verified list of decision-makers with validated emails and direct dials. Describe your ICP in your own words, connect Lusha to Claude, and get a callable list from one prompt.

Stop treating every lead as cold. Layer real-time company and contact signals, like funding, hiring surges, and job changes, into your Clay workflows to reach out exactly when the window of opportunity opens.

Stop guessing who to target next. Use your existing closed-won data as a seed to generate hundreds of high-fit lookalike companies and contacts automatically via Lusha’s proprietary matching algorithm.

Boost your match rates and deliverability by adding Lusha’s verified data into your Clay enrichment chains. Get verified emails and direct dials with built-in compliance signals in one step.

Stop asking for 10 fields on your inbound forms. Capture just an email address and let Lusha instantly handle the validation, de-duplication, and enrichment before alerting your SDRs.

Ensure 100% data coverage for every inbound lead by using a waterfall strategy—starting with Lusha’s verified data and automatically falling back to secondary sources to fill every gap.

Eliminate blind spots in your CRM by automatically enriching every new HubSpot contact with Lusha data the moment they are created.

Eliminate the manual one-by-one lookup. Turn static, thin CSV lists into fully enriched prospecting files by processing hundreds of contacts in seconds via Lusha’s bulk API.

Automate the bridge between CRM enrollment and sales engagement by enriching HubSpot contacts with Lusha data and pushing them directly into your outreach sequences.

Ensure every demo request and chatbot interaction is instantly enriched with Lusha data, allowing you to prioritize high-value conversations in real-time.

Stop treating every lead the same. Instantly validate, enrich, and score inbound leads the moment they hit your system, routing them to the right channel based on ICP fit.

Turn passive account monitoring into active pipeline by automatically detecting headcount growth, revenue increases, and funding rounds via Lusha’s bulk data engine.

Automatically bridge the gap between new lead and qualified opportunity by enriching and scoring HubSpot contacts in bulk every six hours.

Turn your CRM into a living database by automatically detecting when your champions change jobs or companies using Lusha’s bulk enrichment.

Use existing Lusha-enriched contacts in Salesforce to discover and auto-create similar, high-fit contacts—at scale.

Turn your best-fit accounts into a scalable target list using Lusha’s AI-powered company recommendations—automatically.

Turn deal activity into new pipeline by automatically discovering and creating lookalike companies in Pipedrive.

Use existing Lusha contact IDs to discover similar prospects—and automatically add them to HubSpot for immediate activation.

Upload target accounts, enrich them with Lusha, generate lookalike companies, and export a prioritized expansion list automatically.

Turn closed deals into new pipeline by automatically generating and creating lookalike target companies in Pipedrive.

Automatically find, enrich, and create qualified Salesforce leads using verified Lusha prospecting data.

Automatically search, enrich, and export verified prospects into Google Sheets—ready for review, scoring, and outreach.

Automatically enrich Outreach prospects with Lusha and activate sequences—so every campaign runs on complete, verified data.

Automatically find, enrich, and export verified prospects into Google Sheets—ready for outreach, scoring, or CRM import.

Automatically enrich HubSpot contacts with Lusha Signals—and update associated company records when changes are detected.

Automatically detect when customer champions change jobs—and trigger the right follow-up at exactly the right moment.

Automatically enrich HubSpot contacts with real-time Lusha signals—so your team always knows when intent, influence, or context changes.

Automatically enrich HubSpot accounts with monthly Lusha company signals and activate workflows when buying intent spikes.

Detect contact promotions in real time and automatically trigger upsell or expansion workflows in HubSpot.

Automatically detect contact promotions and alert your team the moment buying power changes.

Automatically trigger upsell and expansion workflows when contacts gain seniority or decision-making authority.

Automatically update Salesforce account roles when Lusha detects contact promotions—so your CRM reflects real buying power as it changes.

Automatically score new HubSpot contacts using Lusha enrichment—and flag high-quality leads for fast follow-up.

Automatically enrich new Intercom users with Lusha and add them to the right Salesforce campaigns—without manual handoffs.

Enrich chat and demo request leads in real time and sync them into Salesforce campaigns—automatically and accurately.

Enrich Typeform leads with Lusha, route them for approval, then automatically upsert to Salesforce and enroll approved leads into Outreach sequences.

Build targeted account lists in Google Sheets and enrich them with verified Lusha company data—directly from a “Lusha Actions” menu.

Populate Google Sheets with ICP-matched contacts and enrich them with verified Lusha data—directly from a “Lusha Actions” menu.

Enrich Gravity Forms submissions with Lusha and send high-quality contacts straight into HubSpot workflows—automatically.

Automatically enrich company leads in Salesforce with Lusha and sync them to HubSpot workflows—so both CRMs stay aligned with complete company data.

Automatically enrich new Salesforce leads with Lusha and enroll qualified prospects into Outreach sequences—so sales engagement starts with complete data.

Automatically enrich Gravity Forms submissions with Lusha and route qualified leads into HubSpot workflows—no manual cleanup required.

Automatically generate and enrich new Salesforce leads using Lusha prospecting—on a recurring schedule.

Keep your HubSpot accounts enriched and up to date—automatically, on a recurring schedule.

Automatically enrich contacts from Google Sheets and turn them into clean, complete Salesforce leads—without manual cleanup or copy-paste.

Get instant Slack alerts when Bullhorn candidates are enriched with verified contact and company data—so recruiters can act faster with full context.

Enrich new Microsoft Dynamics leads with Lusha and automatically add qualified contacts to Outreach sequences—so reps engage with the right context from the first touch.

Automatically enrich contacts from Google Forms submissions and create clean, complete HubSpot contact records—without manual data cleanup.

When a new Salesforce record is created, instantly enrich the company and contact with Lusha—then auto-enroll the lead in a HubSpot workflow for routing and follow-up.

Turn failed payments into recovery opportunities—enrich customer contact data and trigger targeted re-engagement campaigns automatically.

Turn new Salesforce leads into sequence-ready Outreach prospects automatically—enriched with verified emails, phones, and company data before SDRs ever touch them.

Automatically enrich new SalesLoft leads with verified contact data—so reps start outreach with complete, accurate information.

Automatically enrich every new Zoom-created account with verified firmographics—so your CRM stays complete from day one.

Enrich company records automatically as they land in Snowflake—no manual exports, no CSV roundtrips, no stale firmographics in your data warehouse.

Keep Typeform simple, get complete data anyway—every submission gets enriched with verified company firmographics automatically.

Run batch company enrichment on autopilot—nightly, weekly, or custom schedules. No manual triggers, no remembering to run it.

Mention a company in Slack, get instant enrichment—no tab switching, no manual lookups, no "let me research that and get back to you."

Turn Discord chatter into actionable account intelligence—automatically enrich every company mentioned in your selected channels with verified firmographics.

Monitor news feeds, funding announcements, or industry publications—and automatically enrich every mentioned company with verified firmographics.

Turn any HTTP request into instant company enrichment—no manual lookups, no building custom APIs, no complex infrastructure.

Stop holding campaigns because your lists aren't ready. Enrich incomplete Salesforce records and push them to email platforms automatically—all in one flow.

Keep Easy Redmine leads complete automatically—no manual lookups, no CSV exports, no fields left blank.

Turn your best contacts into a lookalike prospect list. All without any manual "who looks similar?" research or building lists from scratch.

Every inbound lead arrives enriched, routed, and ready to engage. No manual cleanup, no incomplete records, and no wasted time on data fixing.

Keep forms short for conversion, and get complete data. With this workflow, every 3-field submission becomes a fully enriched, ICP-qualified lead in 3 seconds flat.

Turn messy lead inputs—spreadsheet rows, forwarded Telegram messages, vague handoffs—into clean, deduplicated CRM records before they ever touch HubSpot.

Enrich an entire list of decision-makers in minutes. All without any LinkedIn tab-hopping, guessing, or bounced emails.

Keep Salesforce accounts current with real growth signals—no manual research, no stale employee counts.

Run inbound and outbound as one automated system. Score, enrich, qualify, and generate outreach without manual research

Qualify inbound form fills in seconds using verified enrichment + AI scoring—no manual research, no “is this a fit?” debates.

Enrich every HubSpot form fill instantly—no long forms, no manual research, no waiting to qualify.

Enrich every new monday.com board with verified company context—no manual field-filling, no “who forgot the firmographics?” cleanup.

Keep HubSpot contacts complete automatically. No CSV cleanups, “research before outreach,” or overwriting fields necessary.

Every new Salesforce lead gets enriched and sequenced automatically—no manual research, no stale records, no copy/paste.

Turn spreadsheet rows into Salesforce Contacts with verified data—no manual research, no CSV imports, no copy/paste.

Turn a Google Sheet into a self-updating contact enrichment engine, without all the LinkedIn digging, email guessing, or manual qualification.

Turn a basic Google Sheet into a live company enrichment engine—no manual research, no messy segmentation.

Turn a raw form fill into a qualified, target-ready list—no manual research loop, no guessing who the real buyers are.

Auto-enrich and score every new HubSpot contact. All without any manual qualification or “who should own this?” guesswork.

Enrich every Intercom chat or demo request and sync it to Salesforce. All without any manual research, missing fields, or messy duplicates.

Re-activate past inbound leads the moment they change jobs without any manual LinkedIn detective work or stale lists.

Auto-enrich incomplete HubSpot contacts so your CRM can actually “see”. Say “goodbye” to CSV exports, duplicates, and manual field repair.

Build a Telegram bot that takes natural language requests and returns enriched contact and company data. No dashboards or tab switching needed.

Wake up to a spreadsheet full of verified contacts at your target accounts. No manual research, no tab-hopping.