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We are a growing B2B SaaS struggling to track user behavior across our app and marketing site. We need a unified data pipeline to understand user journeys.
Workflow Context
We currently use a mix of Google Analytics for our marketing site and a hardcoded, in-house logging system for our main application. As our user base has grown over the last 6 months, this fragmented approach is no longer working. We can't easily see how specific marketing campaigns convert to active users, or exactly where users are dropping off during our onboarding flow. We've looked into tools like Segment, Mixpanel, and PostHog, but we lack the internal data engineering expertise to architect the pipeline correctly the first time. Our current stack is React on the frontend and Django/Postgres on the backend. We want to avoid making messy, hard-to-undo mistakes with our event taxonomy.
Desired outcome
A unified setup where our product and marketing teams can see the full user lifecycle, from their first touch on the blog to daily active usage in the app. We want clean, reliable event tracking that doesn't slow down our application performance, and a single source of truth for our user data that non-technical team members can query.
Tool / Custom Build
We are looking for an experienced data engineer or product analytics consultant. Ideally, you would review our current disjointed setup, recommend the best modern stack for our size and budget (e.g., Segment + Mixpanel, or a self-hosted PostHog instance), and help our developers define and implement the core event tracking plan.
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