Revenue attribution
Ad spend and CRM deals joined in one dashboard, so revenue is traced back to the campaign and creative that earned it.
[ CASE STUDY · HEAD OF DEVELOPMENT & PRODUCT OWNER ]
LIVE · REVENUE ATTRIBUTION SAAS
A SaaS platform that follows every click from the ad that produced it to the revenue it closed — ad platforms and CRM in one dashboard. I lead its development and own the product, from roadmap to release.
[ HOW IT WORKS ]
Marketing teams spend on Google, Meta, TikTok and LinkedIn, and close deals in a CRM — but the two rarely meet, so nobody can say which ad actually produced revenue. LeadJourney joins them: every click is followed from the ad that produced it to the deal it eventually closed.
I own the product end to end: the roadmap, what gets prioritised, the architecture decisions and the release cycle. I built the ad-platform and CRM integrations the attribution rests on, and ship the AI features on top of it — agents, RAG assistants and automation — tuned for quality, latency and cost.
The work splits roughly in half: deciding what is worth building, and making sure what gets built keeps running once it is out. Internal and external developers work to code-quality and performance standards I set.
Ad spend and CRM deals joined in one dashboard, so revenue is traced back to the campaign and creative that earned it.
Google Ads, Meta, TikTok and LinkedIn on one side, the CRMs customers already use on the other.
AI agents, RAG assistants and automation, measured on answer quality, latency and cost per call.
Roadmap, prioritisation, architecture and releases, with internal and external teams working to shared quality standards.
LeadJourney is live. Open it, or get in touch to talk about how it was built.
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