You don't need another tool. You need to connect the ones you have.
Whichever problem brought you here - Data, Systems, or Campaign GTM - the fix is the same discipline applied to a different layer: define the use case, build the workflow, connect it to what you already run, and put someone accountable for the result. Clay is an important part in that fabric. It acts as the fuel that powers the GTM engine, and one of the threads that strengthens the weave. Here's how that plays out for each problem, and where Clay helps.
Intelligence and enrichment, scoped to your actual buying group.
We define the intelligence use cases that matter for your GTM motion first, then build the workflows that keep your insights current. We identify which segments deserve priority, what "in-market" actually looks like for your ICP, and how to approach them. Clay is the engine that runs the enrichment underneath.
01
Intelligence
A living, Clay-powered research function that keeps ICP and segment definitions current, instead of a deck that was right two years ago.
02
GTM Data Architecture
Connecting CRM, MAP, and intent signals into one coherent view, so the whole team works from the same picture of where the opportunity is.
03
Data Enrichment
Passive enrichment of what's already in the CRM, and active discovery of net-new accounts and buying-committee members - all scoped to your ICP.
Fixing the systems problem
Governance first, integration second, tooling last.
Before anything gets connected, we help you settle who owns what, and who's responsible. We set out provenance and consent with legal, infrastructure with IT, workflow with ops, output with sales and demand. That accountability is what makes Clay's technical integration safe to build.
01
Operating model
A clear map of who owns data provenance, infrastructure, workflow, and consumption, so nothing falls into the gap between teams.
02
Integration, not replacement
Clay and other tools connect into your existing CRM and MAP. No rip-and-replace, no sixth disconnected system.
03
Custom Solutions with AI Fabric
Custom workflows that connect legacy data, enrichment, and AI research into infrastructure you already run.
Fixing the campaign GTM problem
Activation logic that turns signal into a workflow, not a report.
We define which signals warrant action, what that action looks like across sales and marketing, and how it reaches the systems your team already works in.
01
GTM Activation
Account signals, enrichment data, and existing systems connected into workflows that move automatically when it matters - not after the fact.
02
Orchestration & Campaigns
Campaign architecture built around triggers instead of themes, with content that is repeatable without rebuilding the workflow for every new brief.
03
Buying-committee messaging
Engagement sequences that address each stakeholder individually, even when one account-level signal triggered the motion.
Why Clay
Clay solves the assembly problem better than almost anything else on the market.
Instead of five separate data contracts and manually reconciling what comes back, Clay queries 150+ commercial sources in combination and runs "waterfall enrichment" that tries each source in sequence until it finds verified data. Its research agents can read a website, monitor LinkedIn, and track news to synthesise when the best moment to reach someone arrives. As Clay's EMEA launch partner, we know its edges and its defaults better than most.
150+
data sources unified into one queryable layer
Waterfall
enrichment logic with higher coverage, and lower cost per verified record
The part most partners don't tell you
Clay helps you scale. But if the strategy, data, or execution is off, it will scale the problem. Here's a few common pitfalls:
A platform this powerful amplifies whatever process feeds it. Good architecture underneath it, and it delivers precision at scale. No architecture, and it delivers expensive noise, faster than the manual process it replaced.
Teams that chase every possible enrichment not only take up seats and credits, but burn budget on waterfalls that return low-quality matches for accounts that were never a fit to begin with.
When usage isn't governed, the bill scales before the pipeline does. Leadership ends up having spent real money and still lacking the result the platform was bought to deliver.
A team that already struggled to act on signal doesn't fix that by getting more signal, faster. Without activation logic in place, more enrichment just means more unused intelligence sitting in your CRM.
Without a named owner across legal, IT, ops and sales, data that shouldn't be flowing does - and nobody catches it until it's a compliance conversation instead of a configuration setting.
Ready when you are
The data question and the strategy question have the same answer.
If you recognise the problem and want it solved properly, that's the conversation we're built to have.