Build your own Google Analytics alternative with your AI agent
Web, product and marketing analytics as one data chain you own: your own tracker, sessions, an identity graph, ad costs stitched to visits, declared conversions and attribution. It is built to replace Google Analytics and the attribution reports inside ad platforms.
Paste one prompt. Your agent builds your version.
Paste it into Claude Code, Codex or Cursor. Your agent reads the blueprint, asks how your company works and shows you a one-page plan. Once you approve it, the agent builds your version on SegmentStream, turns every invariant into a test and deploys when you say so.
Read https://github.com/segmentstream/build-your-own/blob/main/AGENTS.md and follow it.
Build our Marketing analytics from the marketing-analytics blueprint.What your agent builds
Your own tracker, sessions, identity graph, ad costs, conversions and attribution in a warehouse you own, with reports on people, channels, spend and the AI agents that read your site.
What it is not
- Not a tag manager or an audience tool: it does not fire third-party pixels, build remarketing audiences or send conversions back to ad platforms by default.
- Not real time: reports are rebuilt on a schedule, by default once a day after the ad platforms settle the previous day’s costs.
- Advanced attribution models, budget and portfolio optimization, and incrementality experiments are not part of this blueprint; SegmentStream offers them as a service.
- Not legal advice. Tracking, cookies and identity matching are regulated (GDPR, ePrivacy and others); your version follows the consent rules you choose, so check them with whoever advises you on privacy.
- Every page view and conversion lands in your own warehouse, collected by your own first-party tracker on the browser and the server, with no third-party tag.
- Channel reports you can explain row by row: each session’s source, medium and campaign follow written rules, and each conversion shows the visits it was credited to.
- Spend, clicks, CPC, CTR, CPA and ROAS per platform, campaign and channel, from Google Ads and Meta costs joined to the sessions they paid for.
- First-click and last-click attribution computed side by side, over one identity graph that links a person’s browsers when they sign in or leave an email.
- A report of which AI assistants, AI crawlers and search bots read which pages, kept apart from human traffic so bots never inflate your numbers.
- Data-quality pages that show tracking gaps, unmatched paid traffic and identity conflicts before they turn into wrong decisions.
- A parity kit for the weeks you run your previous tool side by side, so every difference is measured and explained rather than argued about.
- Answers from the workspace agent, such as “what did paid social cost per lead last month under last click?”, computed from the same metrics as the reports.
The hard parts are already running.
Your agent writes only the business logic. SegmentStream runs the infrastructure under it, so nobody on your team builds or operates it.
- Real-time event collection: one endpoint, served by the nearest healthy collector in the US or EU, streams page views and server request evidence from the first-party tracker into warehouse tables in your region, with no ingestion job and no third-party tag.
- A warehouse in your region where events, ad costs and your CRM records meet without exports.
- Connections to Google Ads and Meta Ads with OAuth; credentials stay in SegmentStream, and cost ingestion runs through them.
- Managed pipelines for sessions, the identity graph, cost stitching and attribution: daily partitions, backfills when a rule changes, retries, checks and lineage.
- A metrics layer, so reports, the API and the company agent answer from the same definitions.
- Google Analytics (GA4)
- Adobe Analytics
- Mixpanel
- Heap
- Matomo
- Plausible
- PostHog
- Triple Whale
- Northbeam
- Rockerbox
- Hyros
- Dreamdata
- HockeyStack
- Google Ads and Meta Ads attribution reports
Product names are trademarks of their owners, named only to describe what the blueprint can be compared with.
What’s in the blueprint
Five files your agent reads before it builds anything. Each opens on GitHub.
- BLUEPRINT.mdThe designRecords, actions, roles, workflows, data flow, screens and the build order.
- INTERVIEW.mdThe interviewWhat your agent asks about your company, and what each answer changes.
- INVARIANTS.mdThe invariantsRules that must hold in every version, each one a test in your project.
- VARIATIONS.mdThe variationsWhere companies legitimately differ, and the default for each.
- PITFALLS.mdThe pitfallsMistakes agents already made in production, so yours does not.
Blueprints are provided as is; see the disclaimer.
Related solutions
Build your company’s own software. Let agents run it.
$ segmentstream workspace create acme --region eu --subdomain acme
▸ Created workspace acme · database, warehouse and a private git repository
$ segmentstream workspace WORKSPACE-ID clone acme && cd acme
▸ your coding agent builds what your team asked for and runs the checks
$ git add -A && git commit -m "First version"
$ segmentstream deploy
▸ app, company agent, API and MCP tools live for your invited members
Our engineers build the first version on your data in two weeks, at a fixed price.
Or build it yourself with your coding agent:
curl -fsSL https://segmentstream.com/install.sh | sh