Lead scoring, cost data and attribution, as code in your workspace.
SegmentStream's ten years of measurement, now one layer on the platform. Demo requests are graded A to D within hours against standards written in plain language. Ad cost, sessions and attribution are pipelines and SQL models your team can read.
Every demo request graded A to D with the reason, the owner and where follow-up stands. Overrides and notes are records with history.
Lead scoring at an AI video company
An AI video company grades every demo request A to D within hours, and its sales team reviews the grades in its own app.
Read the lead-scoring story →- Every demo request is graded A to D within hours by a decision model, against standards written in plain language.
- Change a standard by editing a sentence, then regrade. No training pipeline.
- The sales team's review queue (owner, status, notes, grade override) lives in the ontology; grades stay in the warehouse.
- Ad cost loads through managed connections for Google, Meta, Microsoft, LinkedIn, TikTok and X.
- Sessions come from your GA4 BigQuery export, and conversions and attribution are SQL models you can read.
What it covers
Lead scoring →
Every demo request graded A to D within hours, with a reason, against standards written in plain language.
Ad cost data
Daily ad cost from Google, Meta, Microsoft, LinkedIn, TikTok and X through ready-made connections, modelled into one table.
Sessions and attribution →
Sessions from your GA4 BigQuery export, ad clicks stitched to sessions, and conversions and attribution as SQL models you can read.
Reports your team opens
Channel, campaign and lead-quality reports as pages in your own app, read by the people and agents your roles allow.
Marketing Analytics, the managed service →
Attribution, incrementality and budget allocation, set up and run with our measurement experts.
Numbers you can trust
Checks run with every pipeline run and record their result next to the table, so a broken feed shows up before a wrong report does.
Built from typed blocks
No new product to buy: the blocks below, written by an agent into your workspace's repository and deployed with one command.
None required.
$ segmentstream deploy
Every block ships together from one git repository your company owns. SegmentStream runs it.
- HubSpot score properties
- MadKudu
- custom ML scoring
- Supermetrics or Funnel cost exports
- GA4 attribution reports
Our engineers draft the grading standards from your CRM history, connect your ad platforms and GA4 export, write the models with your team, and prove the numbers before you rely on them.
Enterprise, with our engineers
Our engineers draft the grading standards from your CRM history, connect your ad platforms and GA4 export, write the models with your team, and prove the numbers before you rely on them.
Self-serve, with your own agent
Connect HubSpot and your ad platforms, then tell your agent what a good lead looks like. It writes the pipelines, the grading standards and the review queue.
Related solutions
Read more
- 3 October 2026AI agents can build your BI. Here's why they get the numbers wrong.Benchmarks keep finding that agents writing SQL against raw tables give confident wrong answers, while the same agents answering through a semantic layer get nearly everything right. What that means for how you build analytics now.
- 2 October 2026How to leave GA4 without losing a single reportYou don't have to rip out gtag to own your web analytics. Change where it sends, keep GA4 running while you rebuild, and switch only when the numbers match.
- 30 September 2026The future of ad traffic verification with SegmentStream and JevAd traffic verification is still sold as a black box for $60–100k a year. The next generation runs next to your conversions, is checked against real outcomes, and is decided by a model built for decisions.
Questions
What does it cover?
Lead scoring, daily ad cost from six ad platforms, sessions from your GA4 export, and conversions and attribution as SQL models, all in your own workspace. For attribution, incrementality and budget allocation run with our experts, there is the managed Marketing Analytics service.
Where do the numbers live?
In your workspace's warehouse. Grades, cost tables and attribution are pipeline outputs. What people decide about a lead (owner, status, notes, an overridden grade) lives in the ontology.
How does this relate to SegmentStream Marketing Analytics?
The managed service is SegmentStream's measurement product, run with our experts. Growth and marketing analytics on Cloud is the same craft as code in your own workspace, next to your CRM and finance.
Rather have it built for you? Start a pilot.
Our engineers draft the grading standards from your CRM history, connect your ad platforms and GA4 export, write the models with your team, and prove the numbers before you rely on them.
- One solution, on your data, in your own workspace
- First version live in two weeks
- Parity proven before anything is switched off
- Fixed scope and price, credited to your contract if you continue
Not ready for a pilot? Send the form anyway with your question. An engineer will reply, not a sales rep.
How the pilot worksYour company’s software, built by agents, owned by you.
$ 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 agent writes the five folders and runs the checks
$ git add -A && git commit -m "First version"
$ segmentstream deploy
▸ app, ontology 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 join the waitlist for self-serve:
Self-serve opens to the waitlist first.