01
Clay workflows & tables
Sourcing, waterfall enrichment, AI research columns, deduplication and conditional logic. Structured so a table is a system, not a one-off list. Credit usage is monitored and tuned every cycle.
Clay engineering
Clay, built properly and then kept running
Clay is where most GTM teams start and where most of them stall. Tables get built, credits get burned, and nothing reaches the CRM in a shape a rep can act on. We build the whole path: signal in, enriched record out, campaign live, results reported.
Plain English
What Clay actually is
Clay is a data and workflow engine for go-to-market. It pulls company and contact data from more than a hundred providers, enriches it in waterfalls so you only pay for what you need, runs AI research over the result, and pushes the finished record into your CRM or sequencer. It replaces the spreadsheet, the six point solutions and the manual research hour. But only when someone engineers it end to end.
What we build
How we work with Clay
Built in your environment, under your account, documented as it ships.
02
Intent signals
Job changes, hiring posts, funding, tech installs, website visitors, product usage, LinkedIn and community activity. We define what counts as a buying signal for your motion, capture it, score it and route it the day it fires.
03
CRM enrichment
Two-way sync with HubSpot or Salesforce: fill the fields your reporting depends on, dedupe accounts and contacts, normalise firmographics, and keep it fresh on a schedule instead of a scramble before board week.
04
Outbound campaigns
Clay feeds sequencers (Smartlead, Instantly, Lemlist, Apollo, Outreach) with personalised, deliverable messaging tied to the signal that triggered it. Copy, segmentation and testing included.
05
Research in the CRM
Automated account and contact briefs written into the record before the call, so the pre-call research hour goes back to selling.
06
Agents & AI columns
Claygent and AI columns for the research a human would otherwise do by hand: qualification checks, competitor detection, use-case fit, custom scoring.
How we implement it
From audit to a system that keeps running
01
Audit & signal map
Two to three weeks. We look at your CRM, your current Clay workspace if you have one, and your best-fit closed-won accounts. Output: the signals worth chasing, the fields worth filling, and what it costs in credits.
02
Build
Tables, waterfalls, scoring and CRM sync built in your workspace under your account. Everything documented as it ships, so nothing depends on us being in the room.
03
Launch outbound
Sequences wired to the signals, deliverability checked, volume ramped. First campaigns live inside the build window rather than after it.
04
Run & improve
Ongoing: new signals, new segments, credit efficiency, and reporting against pipeline. Clay ships changes constantly; keeping up with them is our job.
Questions
Clay, answered
RevenueHoop builds the full Clay path for B2B SaaS teams: signal in, enriched record out, campaign live, results reported. That covers Clay tables and waterfall enrichment, intent signals, two-way HubSpot or Salesforce enrichment, AI research columns and Claygent agents, and outbound feeding sequencers such as Smartlead, Instantly, Lemlist, Apollo and Outreach. Everything is built in the client's own workspace and documented as it ships.
Also from us
The rest of the stack
ZoomInfo GTM Studio
ZoomInfo GTM Studio
For CROs who are already paying for ZoomInfo: turn Copilot, intent and GTM Studio into routed pipeline instead of another dashboard.
Claude for GTM
Claude
Claude as an engineering layer across your GTM stack: research, qualification, message generation and internal agents your team can trust.