Clay’s go-to-market engineers adapted the way developers review and release code, calling it GTM CI/CD, to safely run learning loops where agents improve their own workflows.
Learn how Clay is building the self-learning revenue engine
In Finding GTM Alpha, we argued that winning teams use data others don't have, in plays others can't run, to build an edge. We also argued that no play lasts forever, and that teams must learn and iterate quickly.
Explore real Grok Bot and Clay use cases from Eric Nowoslawski, including chat-built outbound campaigns, GTM Hub lead magnets, and a daily learning loop.
Data teams have endless request queues. Here's how Clay built monty, a Slack-based analytics agent, so anyone can query the warehouse in plain English.
We’ve launched a place to find skills built by the Clay community, free to install and ready to run in Claude Code, Codex, or Cursor.
Clay adds 24 new and updated integrations for EMEA and APAC coverage, buying signals, new industries, enrichment, dialers, CRMs, and warehouses.
See how nine Clay team members use the Clay Agent Plugin to build GTM workflows and rep tools with Clay’s API and CLI from their coding agents.
A team of Claygents filled out thousands of B2B demo and contact forms and timed how long it took anyone to respond.
Legacy customers can use Audiences, Account Agents, Workflows, Plugin (API/CLI), and Sequencer for a limited time
See how Clay’s non-engineers built an AI-powered training platform that saves 75+ hours a week, and how they got teammates to use and improve it.
Build on Clay from any coding agent
Mark Hardy, Head of Revenue Operations at depthfirst, on building the AI security startup’s go-to-market systems as a RevOps team of one.
Clay GTM engineer Sabrina Glaser cut 85 minutes of account research down to five with four agents, and now the entire sales team runs her play.
Clay has raised $115M in Series D funding at a $7.1B valuation, following 4x revenue growth in 2025. More than 17k customers, including 80% of the Forbes AI50 and companies like Anthropic, Google, OpenAI, Stripe, ElevenLabs, Visa, Siemens, and UPS, use Clay as their infrastructure for growth
Osman Sheikhnureldin, Clay’s Head of GTM Engineering, on compound problems, hacky MVPs, and building systems that improve as they run.
Clay Sequencer brings lead sourcing, enrichment, and sequencing into one tool, so every email sends on current data. Now generally available in Clay.
Inside the workflow our growth team uses to turn Clay audience data into synced ad campaigns across Meta, LinkedIn, Google, and more.
Our growth team at Clay shares six agent use cases from our own workspace, including deal postmortems, account health scores, and personalized research for tier-one ABM campaigns.
The details behind Clay’s 100% autonomous bug triage process that runs in 15 minutes and closes 15% of bugs
Use Account Agents in workflows to run GTM plays on account research
Five lessons from Michael Tai, Senior Growth PM at Brex, on relevance over personalization, forward-deployed growth engineers, and where go-to-market heads next.
The policy that started on our engineering team, spread across the company, and went viral when our co-founder shared it.
Why we moved orchestration out of tables, and how to make the most of Workflows to power your GTM system.
Inside the always-on, automated plays Clay’s growth team uses to convert trials, rescue fading accounts, and open doors into top-tier accounts
Orchestrate any GTM play in Clay Workflows
Clay Ads builds unlimited ad audiences, updates them dynamically as your data changes, and boosts match rates by enriching across multiple providers.
Verkada's Cody Leovic explains why first-party data — CRM notes, replies, call transcripts — builds a GTM edge that rented signals can't match.
Combine company, people, and job data in one natural language search. Track which accounts convert to pipeline. Find more prospects like your best customers with Lookalikes.
Clay CEO Kareem Amin breaks down the shift to AI-driven GTM: data, infrastructure, and self-improving revenue engines. See what's shipping this summer.
Use agents for up-to-date account inteliigence to run expansion or re-engagement plays
Use cost-effective open-weight models in Claygent for long-running tasks
Reps call Ops-built functions and data from 200+ providers in one place using natural language
Go behind the scenes of Clay’s $100M ARR growth with Bruno Estrella and Davide Grieco as they reveal the marketing and growth playbooks driving enterprise and self-serve success.
Build on Clay from any coding agent, like Claude Code or Codex
Now, Clay is the infrastructure GTM engineers build on. Here's how we built our new homepage to tell that story.
Every winning GTM engineering system runs on four layers: data, orchestration, execution, and agents. Here's how the best teams build and compound them.
Clay users can now build campaigns at any scale, instead of being limited to working across 50,000 records at a time. Audiences lets you run unlimited people and company searches without row limits, import millions of records from your CRM and data warehouse, and enrich them with first and third party data.
Clay reps run their highest-leverage plays from Claude or ChatGPT. Behind every prompt is a Clay Function. Here are four we use every week.
Three growth leaders share the tactics, trade-offs, and organizational battles that come with doing growth at a sales-led company.
We asked three leaders who are actively building and scaling SDR teams what's actually working and how they’re using AI to build pipeline.
Learn how Clay's GTM team uses Clay to mine CRM data and Gong transcripts for re-engagement plays, product insights, and voice of customer feedback.
With Clay MCP, reps can self-serve data and ops-built workflows from Clay within Codex.
See how Clay's recruiting team finds, prioritizes, and reaches candidates using Clay.
Build production-ready Claygents in natural language with Sculptor. Test on real data for free, track versions, and deploy once across every workflow. All inside Clay.
See how Clay uses its own Ads feature to cut LinkedIn CPL from $250 to $25 and unlock Meta with enriched CRM audiences. No manual uploads needed.
Use HG Insights corporate hierarchy data in Clay to clean CRMs, map parent-child accounts, and trigger expansion plays. See how it works.
Learn what sales GTM engineering is, how it collapses SDR, AE, and SE roles into one, and how Clay built and hires for this high-leverage function. See how it works.
Learn how to automate inbound lead outreach with enrichment, scoring, and personalized sequences. See the exact Clay workflow that runs without manual work.
demandDrive joins Clay’s partner ecosystem to help B2B teams turn account intelligence into pipeline and revenue with GTM engineering and automation.
Master B2B sales prospecting with 15 proven strategies covering ICP building, multi-channel outreach, and list hygiene. Build a pipeline that converts.
Discover 11 ways AI sales assistants automate lead research, enrichment, and email personalization. See how top B2B teams use them to accelerate outbound.
The three laws of GTM explain why uniqueness, saturation, and iteration speed determine who wins. Learn how AI changes the rules and what to do about it.
We tested 12 email finders across 4,700+ contacts to find the best work emails by segment. See accuracy, cost, and coverage winners for SMB and enterprise.
See how Clay uses automated outreach to convert trial users into customers, with enrichment, lead scoring, and personalized HubSpot campaigns. Learn how.
We tested 9,806 numbers across 10 B2B mobile phone data providers. See which wins on accuracy, coverage, and cost for NAMER, EMEA, and APAC.
Learn how to build a complete AI outbound sales funnel—from account scoring to personalized outreach—using Clay waterfalls and automation. See how it works.
Learn how outbound sales works, who it's right for, and how to build a strategy from prospecting to closing. Covers cold calling, email, and more.
Learn how to automate 6 cold email campaigns from a single Clay table — with enrichment, AI classification, and deduplication built in. See how it works.
See how Clay identifies tier 1 accounts using a three-score system: fit, engagement, and contract value. Learn how sales and marketing align on the same priorities.
Learn how to build lead scoring formulas in Clay to prioritize your ICP leads by employee count, job postings, and more. See how it works.
Learn how to validate cold outbound offers by finding message-market fit — from breaking down your value prop to testing with a phased email approach. See how it works.
Fix broken outbound sales campaigns with this guide. Diagnose open and reply rates, reduce no-shows, qualify prospects with MEDDIC, and optimize what's working.
Bulk enrichment lets Enterprise teams enrich millions of Salesforce records with firmographics, tech stack, and AI research — then write results back automatically.
Clay Templates let you replicate full GTM workflows in hours, not days. Automate prospecting from data scraping to AI messaging, free and fully customizable.
Learn how to optimize your credit usage in Clay with conditional formulas, Clearbit waterfall lookups, and smarter enrichment workflows. Save credits fast.
AI sales prospecting can 2–3x your reply rates. Get the exact AI prompts, prospecting tools, and cold-email frameworks top B2B teams use to find and reach buyers at scale.
A reverse demo lets prospects solve real problems live, guided by your rep. Learn how Clay used 100+ sessions to boost conversion, retention, and product quality.
Data waterfalls query multiple providers in sequence so you only pay for matches. See how Clay pushes coverage from 30% to 80%+ without annual contracts.
See how Clay runs ABM campaigns — scoring 300 accounts, personalizing mailers and landing pages, and automating SDR follow-up. Learn how.
See how Clay built its GTM engineering function with sprint-based delivery, founder-level reporting, and full sales automation. A practical inside look.
We tested 5 personal email finder tools across 2,354 prospects. See accuracy, coverage, and pricing data — plus the waterfall order that hit 79% coverage.
Learn how to use OpenAI to write personalized cold emails at scale with Clay. Set up the integration, craft better prompts, and boost deliverability.
Learn how to automate a personalized demo play using Clay, Claygent, and AI enrichment to build custom mockups at scale. See how it works.
Clay's automated slide deck creation pulls from Snowflake, Salesforce, and Gong to build QBRs in minutes. Save 90+ hours per quarter. See how it works.
HG Insights surfaces deep technographic and firmographic data from billions of documents. Use it in Clay workflows to enrich accounts and power GTM. See how it works.
Master B2B cold email deliverability with 21 proven best practices: domain setup, inbox warmup, authentication, and copy tips that keep you out of spam. Learn how.
Compare AI lead generation tools for list building, enrichment, and personalized cold email, plus the B2B workflows Clay uses to send 800k+ emails a month.
Clay MCP: Ops-built workflows, consumable by reps
Learn how to manage and enrich inbound leads automatically using a four-phase workflow that scores, segments, and triggers outreach from one email. See how it works.
GTM alpha is the edge winning teams build with unique data and signal-based plays. Learn how to find hidden signals, run better plays, and outpace competitors.
Poor CRM data kills outreach. Learn why CRM data coverage fails and how Clay's waterfall enrichment lifts coverage rates from 20% to 80%. See how it works.
Learn how to use formulas in Clay with the AI Formula Generator or manual entry. Transform and clean your data faster. See how it works.
GTM engineering turns ops teams into revenue builders using AI and automation. Learn what GTM engineers do, how to structure the role, and how to hire one.
Learn how to use formulas in Clay without coding. This intro covers conditional statements, combining columns, and auto-qualifying leads. Start in 30 minutes.
See how Clay uses Clay for SEO and AEO: automated content refresh, video-to-page conversion, and a custom AI visibility dashboard. Learn how.
Learn how to turn web visitors into leads using a warm outbound play for B2B sales — with RB2B, Clay, and Lemlist. See how it works.
Learn how to use web scraping to enrich your data without code. Clay's Claygent answers deep GTM research questions at scale. See how it works.
Learn how to create your own sales prospect list in minutes using Clay. Pull from 40+ sources, enrich with ICP data, and export to your CRM. See how it works.
We tested 8 B2B email list providers head-to-head. See accuracy results, per-email pricing, and how to waterfall providers for maximum coverage.
Learn how outbound sales automation replaces manual SDR work, cuts cost per email by 100x, and scales pipeline without growing headcount. See how it works.
The wake the dead play uses Clay + ChatGPT to send automated, personalized emails to closed-lost prospects. Restart stalled deals in a few steps. Learn how.
Split volume, verify contacts, and personalize copy to guarantee email deliverability for cold outbound. Three actionable tips that keep you out of spam.
See how Clay's customer support team uses Clay to enrich Intercom tickets, automate QA, and draft help articles. Real workflows, real results.
Master B2B cold email copywriting with proven templates, a research framework, and a checklist used to send 800k+ emails a month. Start writing emails that get replies.
Build Your GTM Logic Once, Apply It Everywhere
The Clay and Apollo integration unlocks 5X faster enrichment and direct sequencer API access. See how joint customers go from data to booked meetings.
Explore the many lives of spreadsheets — from VisiCalc in 1979 to self-filling automation tools today. See how the no-code vision keeps evolving.
Learn our top AI recruiting workflows to help you identify, research, and reach out to qualified candidates for open roles. AI can eliminate manual work and help you reach out to—and land—better employees for your clients.
Learn how to hire a GTM engineer: when to make the hire, what skills to screen for, red flags to avoid, and where to find the best candidates. See how it works.
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Centralize your first and third party data sources in Clay
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In Nigeria, she built a life where money wouldn’t decide
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Article – NY Times
Clay allows employees to sell shares at a $5b valuation.
Most B2B companies waste half their paid ad budget showing ads to the wrong people like existing customers, open opportunities, or agencies who can’t buy.
Every marketer knows to exclude these groups. The execution is where things fall apart. Manually uploading exclusion lists to LinkedIn and Meta takes hours, and those lists go stale in days. By the time you export a fresh CSV from Salesforce, new customers have signed up and old opportunities have closed. So you pull the list again, clean it up, re-upload it, and hope nothing changed while you were doing that. It’s a bad use of your time, and it’s a bad use of your ops team’s time.
At Clay, we built our Ads feature to give marketing teams direct control over who sees their ads, pulling from CRM data, buying signals, and enrichment to build audiences that stay accurate without manual work.
We use this feature extensively internally! We sync continuously from Salesforce to both LinkedIn and Meta to maintain fresh exclusion lists, build retargeting audiences from first-party data, and create lookalike campaigns, all without manual CSV uploads.
Our cost-per-lead has dropped from $250 to $25 on LinkedIn. We even went from not being able to effectively target on Meta to getting a $10 CPL on Facebook.
Here’s what we built and how other teams can do the same.
TL;DR
Before automation, Clay’s paid strategy had three issues most B2B teams will recognize.
Clay built three core workflows that run continuously, syncing fresh data from Salesforce to both LinkedIn and Meta.
Clay’s exclusion workflow continuously syncs anyone who shouldn’t see ads: current customers, open opportunities in Salesforce, agencies and partners, and recent inbound leads already being worked.
These exclusions update automatically. When a lead becomes an opportunity, they’re immediately excluded. When someone signs up as a customer, ads stop showing them the next day.
Talia, our SLG growth lead, estimates this prevents wasting “50% of your budget on accounts that are going to generate zero percent of your pipeline.”
Website retargeting audiences consistently outperform cold prospecting. But for PLG companies and B2B businesses, website pixels only capture a fraction of high-intent behavior.
Clay expanded retargeting beyond website visits to include product usage data, inbound interactions, contact scores, and lead scores all pulled directly from Salesforce.
Meta excels at finding people similar to your best customers through 1% lookalike audiences. But most B2B companies can’t use this effectively because Meta can’t match work emails to personal profiles.
Clay solves this by automatically enriching customer lists with personal emails, phone numbers, and other data points that Meta can match. This increases match rates from the typical 30% to 70%+, making lookalike campaigns actually work for B2B.
With proper enrichment and exclusion, Meta transformed from unusable to one of Clay’s most efficient channels. One recent Meta campaign using enriched lookalike audiences with proper exclusions generated 200 leads at $10 each within 24 hours.
The basic workflow is straightforward:
“It is ridiculously fast to run a matched audience,” says Talia. “Maybe a few minutes to set up and then I can scale that out multiple times.”
The critical advantage: one table in Clay feeds multiple ad platforms. Build once, push to both. Manny explains: “You set it up to run every two days and then it’s set and forget it.”
LinkedIn: CPL dropped from $250 to $25 (10x improvement)
Meta: From unable to target to $10 CPL
Operations: No manual CSV uploads, audiences update automatically every 2 days
Start with exclusion lists. Build a Clay table that pulls current customers, open opportunities, recent inbound leads, and partners from your CRM. Set it to refresh daily and push to both LinkedIn and Meta. This prevents waste before you build sophisticated targeting.
Then add retargeting audiences using first-party behavioral signals: product usage, lead scores, content engagement. Finally, create enriched lookalike audiences for Meta by enriching your best customers with personal contact data.
Most B2B companies still manually export CSVs and upload them to ad platforms. Their audiences go stale within days, they can’t effectively use Meta, and they waste budget on people they shouldn’t target.
Automated audiences solve all three problems. The result isn’t just lower cost-per-lead. It’s campaigns that actually reach target accounts and budget spent on people who can actually buy.
Want to build this yourself? Watch our workshop where Talia Schleifer, Davide Grieco, and Alex Reznik walk you through our favorite Clay Plays.
Clay’s Ads feature lets marketing teams sync CRM data directly to LinkedIn and Meta as matched audiences, without manual CSV exports. You build a Clay table from Salesforce data, configure a refresh schedule, and Clay keeps the audience current automatically.
Most B2B CRM data uses work emails, which Meta can’t reliably match to personal profiles. Clay enriches customer and prospect lists with personal emails and phone numbers before syncing to Meta, raising match rates from the typical 30% to 70%+.
You can pull any Salesforce data into a Clay table: customer status, opportunity stage, lead score, contact score, product usage data, and inbound interaction history. Any field available in your CRM can be used to define audience membership or exclusion criteria.
You configure the refresh frequency yourself. Clay supports daily refreshes or every two days. Once set up, the audience updates automatically on that schedule with no manual intervention required.
Start for free today. No credit card required.
