The marketing measurement engine for teams.
Cross-channel attribution, incrementality testing, marginal analytics and automated budget allocation, set up and run with our measurement experts on your own data. The engine finds where every dollar stops working.
Marketing teams that measure with SegmentStream Marketing Analytics
A managed service, run with our experts. Prefer measurement as code in your own workspace, next to your CRM and finance? Lead scoring, cost data and attribution run on SegmentStream Cloud too.
Growth and marketing analytics →- annual ad spend managed
- $100M+
- ad platform integrations
- 30+
- measurement capabilities
- 11
- years measuring marketing
- 10
Every model explained. No black boxes.
Most vendors describe their product with slogans. We publish the algorithms. Which capabilities you use is decided with you during scoping.
Data foundation
- Identity Graph: Stitching Users Across Devices and BrowsersHow SegmentStream resolves fragmented user journeys using deterministic identity stitching — without third-party cookies or statistical inference.How it works →
- Server-Side Conversion TrackingStop letting ad-platform pixels broadcast your audience to your competitors. Send only the conversions that matter, with the identity signals that make cross-device matching real.How it works →
Attribution
- Cross-Channel AttributionFirst-click attribution and predictive conversion maturation — two methods that cross-validate to produce click-time revenue you can optimize against.How it works →
- Predictive Cross-Channel AttributionClick-time attribution is correct but incomplete — you're making decisions on data that won't be final for weeks. Predictive Attribution closes that window.How it works →
- Self-Reported ReattributionHow SegmentStream makes invisible channels visible — LLM classification of free-text survey responses, stitched to sessions via identity graph and synthetic touchpoints.How it works →
- CRM Funnel AttributionConnect CRM, ERP, or any BigQuery table as a conversion source. Track every funnel stage from MQL to Closed/Won with proper attribution back to the original marketing click.How it works →
Budget
- Marginal AnalyticsAverage ROAS hides saturation. Marginal analytics shows what your next dollar will actually produce on each channel, calculates the optimal budget mix, and recommends exactly where to shift spend.How it works →
- Automated Budget AllocationOne-click execution of budget recommendations across every ad platform. SegmentStream applies changes, tracks results, and refines the model automatically.How it works →
- Incrementality TestingGeo holdout experiments with synthetic control groups that measure what your ads actually add — not what attribution claims they do.How it works →
Value-based bidding
- Lead ScoringTurn the same ad spend into better quality leads. ML-powered scoring predicts each lead's value instantly — so you optimize for revenue, not form fills.How it works →
- LTV ScoringPredict customer lifetime value at the moment of conversion. Optimize ad spend for long-term revenue — not just sign-ups or first purchases.How it works →
Any report, any recommendation, from your AI.
Every capability is available to Claude, ChatGPT, Cursor and any MCP client. Ask a question about your ads and get an analyst's answer from your own data, not next week's meeting.
Campaign performance report
Cross-channel performance with attribution-adjusted ROAS, anomaly flags and week-over-week trends.
Root-cause analysis
When a metric moves, the cause is found and explained, with what to do about it.
Budget reallocation plan
Current against proposed allocation, with marginal ROAS, projected revenue and the reasoning per channel.
Month-over-month analysis
Period comparisons with trend charts, significance flags and drill-down by channel.
Connects to the platforms you run.
Ad platforms
- Google Ads
- Meta Ads
- TikTok Ads
- LinkedIn Ads
- Microsoft Ads
- X Ads
- Snapchat
- and 20+ more
Data sources
- GA4
- BigQuery
- HubSpot
- Salesforce
- Shopify
- Stripe
- Heap
- Amplitude
- any warehouse table
One discovery call, then one proposal.
A measurement partner, not a tool: the platform plus experts in attribution, incrementality and marketing science. Priced per project after one discovery call, with no seat cap.
- 01
Discovery
A working session on how you sell: where conversions happen, which platforms you run, what your data stack looks like and which questions measurement must answer.
- 02
Scoping
We propose the capabilities that fit and price the engagement to that scope: channels, data volume and how much expert time you need. One proposal covers everything.
- 03
Engagement
Your dedicated measurement expert sets up data sources, identity, conversions, attribution and the first reports with you, then stays on as your adviser.
Every engagement includes
- Tailored setup for your stack, not a login and a link to documentation
- A dedicated senior measurement expert and founder-led consulting
- Priority support with agreed response times
- Security review, DPA and GDPR compliance, US or EU data residency
- Custom MSA and DPA when your procurement needs them
Questions
Why don't you publish prices?
Because the right scope varies a lot. An e-commerce brand on five ad platforms and a B2B company closing deals in a CRM need different capabilities and different amounts of expert time. Pricing after one discovery call is more honest than a plan that fits neither.
Is pricing per user?
No. Pricing is per project, with no seat cap, so your whole team works from the same numbers.
Where does our data live?
In your own warehouse. Models, tables and reports run in your workspace, so the data never leaves your control and your team can read, check and extend every model.
Can we use it from our AI tools?
Yes. Every capability is available to Claude, ChatGPT, Cursor and any MCP client, so your team can ask for reports, investigate anomalies and plan budgets from the AI tools it already uses.
Talk to a measurement expert.
Tell us how you sell and which platforms you run. After one discovery call you get a written proposal with the capabilities we recommend and the price for that scope.
- 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 works