GTM
Engineering
Most GTM strategies fail because they're built on guesswork — spray-and-pray outreach, disconnected tools, and no feedback loop. I design and build data-driven GTM engines using Clay and n8n that identify your ideal customer, enrich every lead automatically, and run personalised multi-channel sequences without manual effort.
Built around Clay and n8n
The data layer. Clay pulls from 100+ enrichment sources — Apollo, LinkedIn, Clearbit, Hunter — to build the most complete picture of every lead before a single message is sent. Waterfall enrichment means you only pay for what you actually use.
The automation layer. n8n connects every tool in your GTM stack and executes the logic — trigger on signals, route leads, send personalised sequences, update your CRM, and loop back results for optimisation. No wasted manual effort.
Clay handles the "who and what" — finding, validating, and enriching your exact ICP with buying signals, technographics, and intent data. n8n handles the "when and how" — automating every action in your GTM motion the moment a signal fires. The result is a self-running revenue engine that compounds month after month.
Everything built into your GTM engine
We map your ideal customer profile with precision — firmographics, technographics, job titles, and buying signals. Clay builds a continuously refreshed account list that only includes companies ready to buy.
Multi-source enrichment via Clay pulls verified emails, mobile numbers, LinkedIn data, and company intelligence — cascading through providers until every field is complete. No more bounced emails or blank CRM rows.
Reach prospects at the exact moment they're likely to buy — job changes, funding rounds, LinkedIn activity, hiring signals, and technology installs. n8n fires the right sequence within hours of the signal, not weeks.
Coordinated sequences across email (Smartlead / Lemlist), LinkedIn, and direct mail — all triggered and managed by n8n. Every touchpoint is personalised using Clay-enriched variables, not mail merge.
GPT-4 integrated into Clay and n8n to write opening lines, tailor value propositions to each prospect's context, and adjust messaging based on their LinkedIn activity, recent news, or company milestones.
A live Looker Studio or Notion dashboard tracking reply rates, meeting booked rates, and pipeline generated per sequence. Monthly optimisation cycles improve what's working and kill what isn't.
The build process
We start with a structured session to define your ICP precisely — the specific company types, roles, pain points, and buying triggers that represent your best-fit customers. This becomes the foundation every workflow is built on. Bad targeting is the single biggest GTM failure point, so we get this right first.
Clay tables are built with your ICP filters, enrichment waterfalls configured across Apollo, LinkedIn, Hunter, and Clearbit, and data validation rules applied to ensure only clean, verified leads enter the system. CRM integration is wired so nothing falls through the cracks.
n8n workflows are built for each signal type — job change, funding, intent spike, LinkedIn visit, and more. Each workflow triggers the right outreach sequence with AI-personalised messaging, routes responses to the right team member, and logs every interaction in your CRM automatically.
The engine goes live with a warm-up phase to protect sender reputation. Weekly monitoring tracks deliverability, reply rates, and meeting conversion. Monthly optimisation cycles refine targeting, update messaging, and expand signal coverage — the system improves as it learns.
Related services
Ready to build your GTM engine?
Message me on WhatsApp — I'll review your current GTM motion and show you exactly where automation can 3× your output.
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