Case study

The lead engine we built for ourselves.

Manual prospecting capped our own pipeline. Every prospect cost hours of research, and the research never scaled with the growth targets.

Programmatic outbound · kratt-built · internal

How these were measured: This engine feeds kratt’s own outreach; nobody paid for it and no client results are claimed from it.

Evidence class: Internal system

Reviewed 2026-09-30 · Kratt editorial review

What we shipped

A full programmatic lead engine, built for our own outreach: Apify discovers businesses, Gemini 2.0 Flash scores each website, n8n generates a personalized landing page per prospect, Cloudflare Workers serves it, and a Telegram bot pushes hot leads to sales.

  1. Apify actors for business discovery

  2. Gemini 2.0 Flash website-quality scoring

  3. Human-in-the-loop review queue for low-confidence scores

  4. n8n personalized landing-page generation, one per prospect

  5. Cloudflare Workers serving the pages

  6. Telegram bot pushing qualified leads to sales

Ownership and handover

Current owner

Kratt owns and operates this internal system.

Kratt's role

Kratt designed, built, and maintains the capability for its own work.

Handover

It is shown as capability evidence, not as a promised client deliverable.

What this page does not claim

  • Not verified: 12 days to build the system, 200+ qualified leads a month at capacity, under $0.50 per lead, 0 hours of manual research per prospect, and the 20-30 conversations a month that manual prospecting capped us at. These figures were on this page before; no run log or other receipt for them was found in the receipt check of 2026-09-30, so they are not shown as metrics.
  • No client revenue claim. This is our own pipeline, not a client engagement, and it is on this page as proof of what we build for ourselves before selling it.
  • No conversion-rate claim. Leads found and cost per lead are measured; what closes from them depends on the humans doing the calls.
  • Gemini scoring drifted on edge cases (single-page brochure sites with strong copy), so low-confidence scores go through a human review queue before they reach sales.

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