SegmentStream

✅ Introducing Predictive Cross-Channel Attribution A fundamental upgrade to how performance teams measure marketing. Conversions don't always happen the same day someone clicks — they arrive over days or weeks. By the time attribution data is "complete," the budget decisions that mattered have already been made on incomplete information. This is especially critical for businesses struggling with long and complex customer journeys, where the sales cycle can take weeks after the click. Predictive Cross-Channel Attribution changes that. Using advanced ML, it projects the conversions still to come, alongside the ones already booked — so you see each campaign's true value from day one. Already-converted and still-to-come, in one unified view. Marketing measurement, no longer in the past tense. Learn more in our detailed whitepaper — link in the comments 💬

✅ 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 operations — let's talk!

✅ New: Self-Reported Attribution now visible inside every User Journey. The channel a customer told you about — their answer to "How did you hear about us?" — now sits right above their first tracked session in the User Journey timeline. Click-based tracking misses view-driven channels, dark social, podcasts, word-of-mouth — they all collapse into "direct" or "organic". Self-Reported Attribution rebuilds that signal from the customer's own answer. What you can do: ✔️ See each customer's raw response (e.g. "youtube") next to the utm_source / utm_medium it was mapped to ✔️ Verify the classifier's mapping against what the user actually wrote ✔️ Spot journeys where SRA chose not to overwrite the original source — and understand why Now it's auditable at the user level, not just in aggregate reports. → Available now in any project with an SRA config active. Interested to learn more? Link in the comments 💬

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. 1️⃣ Independent of ad platforms. No co-marketing. No joint case studies. No referral deals. We work for the advertiser — that's it. 2️⃣ Evidence over modeling. A deterministic measurement is a fact. A model is a hypothesis. We never confuse the two. 3️⃣ No black boxes. Every model published. Every number auditable. Nine open whitepapers explain our methodology in full. 4️⃣ Built for action. Measurement is only useful when it changes a decision — so we connect it to budget allocation and daily execution. 5️⃣ A system, not a tool. Technology, process, and expertise as one engine. 6️⃣ 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 → https://lnkd.in/eCpJsHEE

✅ 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 https://lnkd.in/eyaEkp6q 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.