Twilio Segment + SegmentStream: advanced marketing attribution in your own data warehouse 🤝 Already using @twilio Segment to send web and app events to your data warehouse? Then you already have everything you need for advanced attribution. SegmentStream reads your existing Segment tables and turns them into: ✅ Cross-channel attribution across devices, from first touch to closed revenue ✅ Marginal ROAS for every campaign, so you can see which ones still have room to grow and which are saturated ✅ Budget recommendations you can push to your ad platforms in one click ✅ Results can be sent back to Segment as traits (predicted LTV, lead score, true acquisition channel) for your Engage audiences. You don't need new tracking or pixels. Every result is a plain table in a warehouse you own. A composable data stack, as it should be. Twilio has published a step-by-step guide to our partnership and integration 👇 twilio.com/en-us/resource-ce…

✅ New: Amplitude x SegmentStream @Amplitude_HQ is one of the leading product analytics platforms for startups and enterprises alike, used by over 4,900 companies and 26% of the Fortune 100. Teams on Amplitude already track the behavioural events behind adoption, retention, cohorts, and the rest of the product picture. Marketing measurement is a different scope. Which channels bring the users who adopt and retain, and what each one truly adds: behavioural events alone cannot answer that. It takes ad cost, CRM outcomes, an identity graph, and models that turn all of it into a budget decision. That is what SegmentStream does: advanced marketing measurement on top of the raw events Amplitude already exports to your warehouse. It adds cost from 30+ ad platforms and outcomes from your CRM, then turns all three into cross-channel attribution, incrementality and marginal ROAS, and budget recommendations you can push straight to the platforms. Product analytics stays in Amplitude. Marketing measurement and optimization run in SegmentStream — where the next dollar should go, and how to prove it worked.

✅ New data source: StackAdapt. You can now load your StackAdapt campaign spend and delivery metrics to be used for attribution reporting and marketing mix portfolio optimization. To start, generate a read-only API token in StackAdapt. In SegmentStream, add a new StackAdapt data source, paste the token, select the advertiser you want to sync, and click Save. UTM parameters are parsed from each ad's click URL, so it joins to your session data on utm_source, utm_medium and utm_campaign with no landing page template changes needed. → Available now under Data Sources.

✅ New data source: OpenAI Ads. Campaign spend from OpenAI Ads now flows into SegmentStream automatically, alongside Google, Meta, TikTok and every other channel you run. Ads on ChatGPT surfaces are a new line item in a lot of budgets, and most teams read that performance in isolation — inside OpenAI's Ads Manager, against OpenAI's own numbers. That says nothing about how the channel behaves next to the rest of the mix. What you can do: - See OpenAI Ads spend and delivery next to every other channel in one report - Run attribution across the full mix with OpenAI Ads included, not estimated - Let portfolio optimization move budget on real numbers Generate an API key in Ads Manager → Settings, add the data source in SegmentStream, paste the token, pick your ad accounts. Data lands within an hour. → Available now under Data Sources.

Announcing SegmentStream Cloud — The data infrastructure for your analytics apps. For agencies and in-house teams looking to build their own custom analytics, without building and maintaining entire data pipelines from scratch. Why now: Claude, Cursor and Lovable changed the default. More and more people now build their own custom websites and apps instead of fitting an existing SaaS platform to their business. Then they try to build their own analytics, and reality hits. It's not fun weekend vibe-coding anymore: → Spinning up and managing a data warehouse → Collecting and processing real-time web and app events → Buying ETL tools for data ingestion from external sources → Configuring data pipelines and workflows with dbt or Airflow → Configuring BI dashboards in Looker Studio or Power BI This is real data engineering work, and it costs companies hundreds of thousands of dollars a year. A better way: With SegmentStream Cloud, the infrastructure is already there. Sources. Transformations. Warehouse. Metrics. Apps. Every layer between raw data and a trusted answer is taken care of. ✅ Any data, any logic, any UI. Ship with AI agents via MCP, CLI, and API. ✅ Publish to the cloud, connect your domain, share with your team. ✅ End-to-end. The entire data infrastructure pipeline is handled for you. The complete data platform for teams building with AI agents. Whether you're just starting out or running a website with 10M+ daily visitors. Learn more and join the waitlist: cloud.segmentstream.com/

✅ New: Refreshed platform UI, now with dark mode With everything we've shipped recently, the SegmentStream deserved a fresh look. We've rebuilt the UI with cleaner layouts and full dark and light mode support across every screen.

✅ New: Snowflake integration Marketing analytics doesn't stop at tracking website conversions. You may also want to track subscriptions, LTV, profit margins, and other important metrics — the kind of data that usually lives in your data warehouse. If you're using Snowflake as a source of truth for that business, customer, product, and revenue data — we have good news 🎉 You can now integrate it directly into the SegmentStream measurement layer for custom full-funnel measurement and end-to-end optimization workflows. Example use cases: → Measure ROAS based on 7-day retention, not trial signups → Know which ad campaigns drive higher profit, not just revenue → Send custom Snowflake conversions to ad platforms via CAPI If you've felt like your marketing analytics is disconnected from your business — let's talk!

Since 2018, SegmentStream has earned the trust of many leading advertisers. Why? We're sharing below the six principles that guide everything we build — and that explain why brands choose us over platform-owned analytics, black-box attribution, and "trust us" dashboards. 1⃣ Independent of ad platforms. No co-marketing. No joint case studies. No referral deals. We work for the advertiser — that's it. 2⃣ Evidence over modeling. A deterministic measurement is a fact. A model is a hypothesis. We never confuse the two. 3⃣ No black boxes. Every model published. Every number auditable. Nine open whitepapers explain our methodology in full. 4⃣ Built for action. Measurement is only useful when it changes a decision — so we connect it to budget allocation and daily execution. 5⃣ A system, not a tool. Technology, process, and expertise as one engine. 6⃣ Education over selling. Open whitepapers. A 9.5-hour course on modern marketing measurement. Learn the discipline before you ever buy the platform. Read the full story → segmentstream.com/about

✅ New: Adobe Analytics x SegmentStream Adobe Analytics is the system of record for web analytics at many of the world's largest enterprises — trusted, mature, deeply embedded. And it isn't going anywhere. But the bar for marketing measurement has moved. Advanced cross-channel attribution, incrementality, marginal analytics, and budget optimization now require a specialized, AI-native measurement layer. That's what the new Adobe Analytics integration brings. SegmentStream ingests raw hit-level data via Adobe Data Feeds (not the Reporting API) and rebuilds attribution from the ground up using its own identity graph and models. The result: a modern marketing intelligence layer that unlocks the depth of measurement enterprise teams increasingly need — where the next dollar should go, and how to prove it worked. Live in production across SegmentStream's enterprise customers, including $10B+ brands 🚀

✅ New: AI Skills library Over the past few months, we've been shipping AI skills — so marketers can use AI Agents to measure and optimize ad performance, instead of getting generic advice. Skills are the extension layer for AI. Without them, even the best models give marketers textbook answers — definitions, generic recommendations, abstract methodology — instead of working through your actual data. With SegmentStream skills loaded, the same AI knows what to check first when ROAS looks wrong, what healthy attribution coverage looks like, which signals separate bots from real users, and which fix actually changes the numbers. It runs the analyst's playbook end-to-end against your data — applying SegmentStream methodology at the right steps. Today we opened the curated library inside the SegmentStream MCP — so you can extend whichever AI your team already uses with measurement expertise it doesn't come with. Browse by question. Copy any prompt into Claude, Codex, or Cursor. Get back the analyst's work, not a chat reply. Check it out at segmentstream.com/ai-skills We ship new skills every day. Your AI keeps getting better.

✅ Audience Leakage Audit — now in SegmentStream AI Agent Have you ever visited a brand's website, only to see ads from their competitors in your Instagram feed an hour later? Meta, Google and other ad platform tags are silently transferring your audience to your rivals. The bigger your brand, the more you're paying. These pixels see every visitor on your site — not just the ones the platforms sent you. Every product page view, every checkout abandon, every returning customer becomes training data for ad platform models. Those are then sold to every advertiser bidding on the same audience — including direct competitors — as high-intent, in-market customers. Audience Leakage Audit measures the gap, per paid channel: how much of your audience the pixel observes vs. how much revenue the channel actually returns. Strong brands pay the highest tax. The audit shows you exactly how much.

✅ New: Bot Traffic Detection SegmentStream's focus has always been the same: eliminate wasted ad spend. We've done it by understanding which channels are actually incremental, and how to reallocate budgets for higher performance. Today, we're taking a step forward — not just measuring what works or doesn't, but uncovering the real reasons behind it. The first capability: bot traffic detection. Ask your AI "Run traffic quality audit", and the SegmentStream agent checks: → declared crawler user agents → IP concentration in datacenter networks → geographic mismatch between campaign targeting and click origin → cookie rotation patterns real users don't produce → engagement uniformity humans don't produce Output: a detailed report, ready to send to your media partner for a refund request. No more paying for fake traffic!

✅ New: Geo Holdout Analysis in our AI Agent. Reading a geo holdout used to need a senior measurement specialist: synthetic-control validation, CI intervals, result interpretation, and more. Our AI Agent now does the read with you, conversationally. It has both the test data and the full methodology — so you can dig in, ask follow-ups, and validate the conclusion before you act on it. 👉 Simply ask: "Walk me through our geo holdout results" Works in Claude, Cursor, Codex, or any MCP-capable AI tool.

SegmentStream has won the Deel Pitch Competition in London! 🎉 More than 20,000 startups entered the global competition. 50 reached the London regional final, and SegmentStream was one of the winners. The win sends SegmentStream through to the global final, where regional winners from all seven regional events will compete on one stage. Another milestone for what SegmentStream is building — marketing intelligence infrastructure for the Agentic AI era.