Problem
Creators spend on content and ads without a clean read on what the spend actually returns. The data lives in a handful of tools that never agree, so the honest answer to “did that work” is usually a guess. ClickFrame exists to make that answer defensible.
Approach
I treated this as a measurement problem first and a software problem second. Before writing much code I decided what “an outcome” means, how it ties back to a specific piece of spend, and where the double-counting risks are. Then I built the smallest pipeline that produces that number end to end, with every step traceable back to source.
What I built
A full data product, owned solo from ingestion to dashboard:
- Ingestion and event capture on Cloudflare, with data landing in Supabase.
- Payments and revenue through Stripe, reconciled against [PLACEHOLDER: what you reconcile against].
- Analytics and warehousing through GA4 and BigQuery.
- CI/CD so changes ship safely, plus disaster-recovery work after [PLACEHOLDER: the incident or risk that prompted it] so a bad day does not mean lost data.
Outcome
[PLACEHOLDER: the strongest concrete result so far. A number if you have one. If it is early, say what is live and what it already lets a user do.]
Why it is here
ClickFrame is on this site as evidence, not as a startup I am pitching. It shows I can stand up a whole data function alone: pipelines, payments, warehousing, deployment, and the measurement thinking that makes the output trustworthy.