Clay Enrichment
Your ICP, engineered in Clay.
Bad data kills more campaigns than bad copy. We build production Clay systems that source, verify, score and personalize every contact before it ever enters a sequence: so your team sells instead of researching.
950K+
B2B contacts enriched via Clay
1.8K+
Production Clay tables built
780K+
AI-powered data points generated
45K+
Hours saved on list research & enrichment
3,000
Relevant contacts sourced per month, per system
3–4
Decision-makers mapped per target account
What we build
Data infrastructure, not a list purchase.
Everything below runs inside Clay tables that transfer to you at handoff: the workflows are the asset, not just their output.
ICP definition, documentedPain points, buyer titles, firmographics, disqualifiers: built line by line with you before a single contact is sourced.
Waterfall enrichmentApollo first, then Sales Navigator, then custom scrapers. Each source fills the gaps the last one left.
AI validationClaude-powered checks confirm each company actually matches your ICP, not just its filters.
Verified emails onlyMulti-step verification before any address enters a sequence. Bounces poison deliverability, so the bar is strict.
3,000 relevant contacts per monthContinuous sourcing, not a one-time pull. Lists are living systems that refresh as your market moves.
AI personalization columnsPerplexity + Claude research each company and draft the specific opener: at scale, in your voice.
Decision-maker mapping3–4 relevant titles per account so a deal never stalls because one contact ignored you.
Re-engagement cadencesNon-responders recycled with a fresh angle on a 6-week cadence. Same company, new conversation, no spam.
Full handoff at day 90Every Clay table, workflow and prompt transfers to your workspace, documented and trained on.
Lead scoringAccounts scored on the ICP attributes that predict conversion, so campaigns always start with the highest-value segments.
How it works
From ICP doc to sequence-ready contacts.
Step 1
Week 1–2
Define
We build the ICP document with you: who buys, why they buy, what disqualifies them. This document drives every downstream automation.
Your ICP, codifiedStep 2
Week 2–3
Build
Clay tables, sourcing workflows, waterfall enrichment, validation prompts and personalization columns: assembled and tested against real accounts.
Production infrastructureStep 3
Ongoing
Run & refresh
3,000 new relevant contacts per month, continuously verified and personalized. The system feeds your sequences; you watch pipeline, not spreadsheets.
3,000 contacts/moPlaybooks
Named plays, proven in production.
Every playbook below is running in a live client workspace today. The case studies show the receipts.
Data Foundation
Proprietary TAM construction
When your market isn't in any database, we build the database. For GearLocker we scraped and AI-enriched all 66,000 US schools into a scored, owned dataset no competitor can buy.
- NCES, state registries and custom scrapers as sources
- AI enrichment at roughly $50 in API costs per full-market pass
- Lead scoring on enrollment, programs and installed systems
- See the GearLocker case study
Data Quality
Waterfall enrichment & AI validation
Apollo first, Sales Navigator second, custom scrapers third: each source fills the gaps the last one left. Claude-powered validation confirms ICP fit before any contact enters a sequence.
- Verified emails only, multi-step validation
- 3,000 relevant contacts per month, continuously refreshed
- 0.15% bounce rate on our cleanest list
- See the LeverageRx case study
Timing
Signal triggers & event lists
Funding rounds, hiring spikes, job changes and trade-event attendance monitored in Clay and converted into trigger campaigns while the moment is live.
- Funding, hiring, leadership and tech-stack monitors
- Event-list builds: 11,278 wine importers mapped for a Swiss château
- Sequences written per trigger, not per quarter
- See the Château Constellation case study
Conversion
Personalization, re-engagement & CRM sync
Perplexity and Claude research columns draft company-specific openers at scale. Non-responders recycle on a 6-week cadence with fresh angles. Every reply creates a CRM deal automatically.
- AI personalization columns in your voice
- Re-engagement cadences that revived 20 interested leads in one ATI campaign
- Auto-deal creation in HubSpot, Salesforce, Pipedrive, Attio or Monday
- See the ATI case study
The honest part
DIY Clay fails for predictable reasons.
Clay is the best data tool in B2B, and most self-serve adoptions still stall: the waterfall logic is deep, credits burn fast without guardrails, and a table built in a weekend sprint rots within a quarter. Agencies know this, which is why many quietly keep the tables in their own workspace, turning your data layer into their retention strategy.
We run it the other way. Tables are built in your workspace from day one, the prompts and workflows are documented as we go, and the day-90 handover includes training your operator to run and extend them. If you never need us again, that was the deal.
FAQ
Clay questions, answered.
What makes LongRun different from other Clay agencies?
Two things. First, ownership: your Clay tables live in your workspace and transfer fully at day 90 with documentation and training, while many agencies keep the tables and rent you the output. Second, Clay is one layer of a complete system here: the same engagement builds your sending infrastructure, signal triggers, AI personalization and CRM sync, not a standalone data project.
We tried Clay ourselves and it stalled. Is that normal?
Very. Clay is genuinely powerful and genuinely deep: waterfall logic, credit management, prompt engineering, table architecture all have learning curves, and half-built tables rot quickly as data goes stale. The honest comparison isn't DIY versus agency, it's three months of your team's evenings versus a production system in week three with your team trained on it by day 90.
Do you charge for Clay credits and tooling separately?
No. Clay costs, along with every other tool in the stack, are bundled into the pilot's fixed monthly retainer. The only things you pay for separately are your own domains and mailboxes, which are registered in your name and stay yours.
Which playbooks do you typically build first?
Almost every engagement starts with TAM construction and waterfall enrichment, because everything downstream depends on data quality. Signal triggers, AI personalization columns and re-engagement cadences layer in from month two, once the core sending motion is validated.
Want to see a Clay table built for your ICP?
Book a strategy call: we'll walk through a live production system and map what your data infrastructure would look like.