LinkedIn Attribution System
A campaign attribution prototype for go-to-market teams running LinkedIn programs.
My roleCreator · GTM engineering
01 / The context
A problem worth exploring.
GTM and sales teams need to connect LinkedIn engagement to account context and useful next actions.
An attribution prototype that helps go-to-market and sales teams interpret engagement with LinkedIn posts and prioritize follow-up actions. Built with Codex.
02 / Inside the project
See how it works.
Choose a step, inspect the details, and explore the thinking behind the experience.
Illustrated workflow · fixed fictional data · no live integrations
Workflow step 1 / 4
Start with a signal.
Example: Avery at Fictional Labs comments on a launch post. A comment is evidence of engagement, not a purchase.
“How would this work with our existing tools?”
From the project
A closer look.
Original project assets. Open an image to inspect it at full resolution.
03 / Decisions & evidence
Behind the experience.
Approach & boundaries
The repository documents ingestion, enrichment, scoring, account mapping, and next-best actions. The portfolio lists React + Vite, Python, LinkedIn, Exa, and OpenAI APIs. Engagement signals support prioritization; they do not prove causation. The public README identifies PostgreSQL storage and mock/CSV ingestion alongside an API scaffold; it does not establish a production LinkedIn integration.
Skills in practice
What the evidence shows
Screenshots and a workflow diagram are available. No revenue lift or conversion result is established.
Sources & attribution
Reviewed against the linked public sources and supplied assets. Demonstrations on this page use fixed example content unless labeled as an original recording or screenshot.