segmentstream

Learn more about Predictive Cross-Channel Attribution: segmentstream.com/measurement-en…

✅ 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 — let's talk!

Learn more about Self-Reported Reattribution: segmentstream.com/measurement-en…

✅ 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. 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.

Introducing AI Measurement Advisor 🚀 Most measurement questions don't have one right answer — they have a right answer for your data. Whether MMM helps or hurts, whether to trust platform-reported ROAS, how to measure channels that don't generate clicks — the answer depends on your stack, your channel mix, and the decision you're trying to make. Many of our clients work with us because they can ask about specific situations and get a recommendation grounded in their data — not a generic survey of every methodology in the industry. Now that expertise is encoded directly in the agent — and the agent already has your data. Ask a measurement question in your AI and get the answer we'd give you ourselves, applied to your project's actual setup. How it works: 1️⃣ Open your Claude, Cursor, ChatGPT, or any MCP-capable tool connected to your SegmentStream project. 2️⃣ Ask "how should we measure our YouTube spend?" — or any methodology question about your data. 3️⃣ The agent returns a recommendation, not a tour — applied to what's running in your account. 4️⃣ Every answer cites the source article from SegmentStream's expert knowledge base. The recommendation you'd ask us for, now in your AI ✅

Identity Graph Audit — now in SegmentStream AI Agent ✅ Your attribution is only as good as your customer journey stitching. If tracking can't recognise the same user across devices and sessions, their first click on Demand Gen, YouTube, or Display gets lost. Upper-funnel looks weak. Email and Direct look huge. Now, you can analyse your identity graph tracking directly in your AI — and surface every issue that needs fixing. Years of SegmentStream audit expertise — which signals to check, what healthy looks like, which fixes actually change the numbers — are now built into the agent. How it works: 1️⃣ Open your Claude, Cursor, ChatGPT, or any MCP-capable tool. 2️⃣ Ask "audit our identity graph tracking." 3️⃣ The agent returns the health of your customer journey stitching, which customer identifiers are missing, and the prioritised fix. 4️⃣ Ask for a PDF spec — a ready-to-forward document with the exact fix for your developers to implement. A week of diagnosis work, now one conversation 🔥

Check out our new SegmentStream Integrations page 👇 We used it as a chance to explain how we actually think about integrations, and why we build them in the first place. Four principles we kept coming back to: 1️⃣ We don't replace your analytics stack. We layer on top of it. Most marketers already track with GA4, Adobe, Heap, or Amplitude. We don't ask anyone to rip those out. SegmentStream adds identity graph, cross-channel attribution, incrementality measurement, and advanced budget optimization on top of what's already there. 2️⃣ On ad platforms, we go deep. Most integrations just pull cost data out. Ours does four jobs at once: — collects spend, impressions, clicks data for cross-channel measurement — catches tagging issues before they bleed budget — pushes automated budget and bid changes back into the ad account — sends predicted signals via Conversions API to enhance ad algorithms. 3️⃣ Measurement should reflect the real business outcomes. That's why we connect to CRMs, commerce, data warehouses, and call tracking. So every ad dollar gets tied to sales pipeline, revenue, and LTV — not just leads or first-purchases. 4️⃣ Marketers don't live in dashboards anymore. They live in AI tools — Claude, ChatGPT, Cursor, Gemini, Lovable. So every SegmentStream capability is exposed as a tool an AI agent can call, through MCP. Your AI tools, our measurement brain. — Don't see an integration you need? Let us know 🙌

SegmentStream is now fully unified under one domain: segmentstream.com Two weeks ago we launched our Research Preview on segmentstream.ai — a new way to analyze and optimize cross-channel marketing performance directly inside AI tools like Claude, ChatGPT, Gemini, and Cursor. The response was incredible. But running two domains in parallel — segmentstream.com for enterprise brands, segmentstream.ai for the Research Preview — created confusion: — Are these two different products? — Is SegmentStream a new startup? Neither. SegmentStream has been powering cross-channel measurement for 8 years and currently optimizes over $100M in ad spend for leading enterprise brands. So we fixed the confusion ✅ Everything now lives under one roof: segmentstream.com → Enterprise brand looking for advanced cross-channel measurement & optimization? Get in touch. → Want to try SegmentStream Self-Serve? Apply for the Research Preview. One brand. One product. One website.

We're introducing Managed BigQuery — a new way to get started with SegmentStream without setting up your own data infrastructure. A quick step back on why this matters. The data warehouse is the heart of cross-channel marketing analytics. It's where raw data from Google Ads, Meta, TikTok, your CRM, and analytics gets pulled together, cleaned, normalized, and modeled. It's what makes your marketing data AI-ready — so when you ask Claude or ChatGPT to analyze your cross-channel performance, you're working with clean datasets, not raw platform exports. BigQuery has always been at the core of SegmentStream, and many of our clients run their own instance — full control over their data and infrastructure. That's not changing. ✅ What's new: you can now choose Managed BigQuery and skip the GCP setup entirely. Connect your data sources → get clean, normalized, AI-ready marketing datasets → start analyzing and optimizing cross-channel ad performance in minutes. Your warehouse, or ours. Either way — your data is ready for AI 🔥

If your agency manages dozens of clients and hundreds of ad accounts, here's what changes with SegmentStream AI 👇 Before: juggling multiple platforms, pulling reports manually, relying on last-click data, and answering the same client questions over and over. Now: SegmentStream connects directly to Claude and ChatGPT — turning the AI tools your team already uses into a cross-channel analytics powerhouse. ✅ Ask any question about any client — get data-backed answers in seconds ✅ Generate branded white-label reports shareable with one link ✅ Go beyond unreliable attribution metrics with unified cross-channel measurement ✅ Run batch analysis and optimization across all clients in parallel The same measurement engine trusted by brands managing $100M+ in ad spend — now accessible inside your AI workflow. Research Preview is open and free for agencies. Unlimited projects. Fully white-label. No restrictions. Learn more at segmentstream.ai

Apply for Research Preview access: x.com/weird_ceo/stat…

SegmentStream is the first marketing analytics platform that onboards itself. Following our release last week, 100+ marketers requested Early Access to SegmentStream AI. We realised we couldn't scale onboarding the traditional way — so we reinvented it entirely. Connect SegmentStream to Claude and it will guide you through every step along the way. Within minutes you have connected data sources, cross-channel attribution, and advanced marketing analytics insights at your fingertips. No documentation, no calls, no waiting. This is what onboarding should look like in the AI era. Want to try it yourself? Check out the comments for Early Access details.