That’s what Segment & Cluster Discovery was built to do.
Because every dataset hides something.
A pocket of churn risk among high-ARR customers.
A growth segment that doesn’t match your personas.
A deal pattern that’s happening under your radar.
The problem is, most tools won’t show you these.
They wait for you to filter, slice, and prompt your way to an answer.
Scoop doesn’t wait. It discovers.
We didn’t build a better filter. We built a discovery engine.
Segment & Cluster Discovery isn’t about helping you answer a question faster—it’s about showing you the questions you didn’t know to ask.
It doesn’t rely on dashboards, filters, or assumptions. It analyzes your entire dataset—millions of rows, dozens of columns—and finds natural groupings based on behavior, outcomes, and usage patterns.
And then it tells you, in plain English, why each group matters.
Discovery, Not Filtering
Most BI tools make you start with a hunch. “Segment by industry.” “Split by ARR band.” “Show me users with 3+ logins.” That’s not analytics—that’s narrowing the field and hoping something obvious jumps out.
It’s like walking into a library, blindfolded, and reaching for the same three books every time because you liked them once. You're not discovering—you’re just circling back to what you already believe.
Scoop changes that. Segment & Cluster Discovery uses advanced unsupervised clustering to scan every variable at once—behavioral patterns, usage signals, NPS changes, feature adoption timelines. It doesn’t wait for you to define what matters. It finds what actually does.
And when it surfaces those patterns, it doesn’t hide behind a model score or a vague chart. It tells you, in plain English, what defines that cluster. You get transparent rule trees, confidence scores, and complete behavior-based explanations—actual AI data discovery, not a prettier filter UI.
That’s the difference between slicing what you know and discovering what you didn’t. And that’s why we built Scoop.
How It Works
Step 1: Choose Your Dataset
Pick the accounts, time range, and sources—Scoop connects to HubSpot, Salesforce, CSVs, and 100+ more business apps..
Step 2: Let Scoop Analyze
We analyze all columns—demographics, behaviors, usage, NPS, outcomes, timelines—simultaneously.
Step 3: See the Clusters
Scoop surfaces segment and cluster discoveries—natural groupings complete with visual maps, KPIs, confidence scores, and full profiles.
Step 4: Take Action
Push any segment to your CRM or MAP in one click. Launch campaigns, set alerts, trigger playbooks.
It takes about 90 seconds. No SQL, no prompts, no back-and-forth with a data team. Just real analysis—done fast, done right, and explained clearly. Because waiting weeks for a segment definition you might’ve missed entirely isn’t how you win.
What You’ll Discover (and Use Immediately)
What kinds of patterns does Segment & Cluster Discovery reveal? This isn’t hypothetical. This is live today.
Marketing
Find new audiences you weren’t targeting—but should have been.
“Healthcare companies in mid-market that engaged with 3+ pieces of content in Week 2 convert 3.7x higher.”
Customer Success
Catch silent churn before it hits the renewal report.
“Accounts with low login + low NPS + high ARR = 73% churn risk.”
Revenue & Sales Ops
Uncover the DNA of fast-closing deals.
“Deals with API enabled + usage of Feature X = 80%+ close rate.”
What Makes Scoop Different
Let’s break this down.
Most BI tools segment the way you’d organize a spreadsheet—one or two attributes at a time. They rely on filters you set. And when they say they support machine learning, what they really mean is they’ve added a clustering feature somewhere in the menu. You're still doing the work. You're still guessing.
Scoop takes a different path—because we built for discovery from day one.
Multi-dimensional clustering, no bias — We analyze 20+ attributes at once. Behavior, usage, timelines, outcomes. You don’t tell it what to look for—it finds the patterns that are actually there.
Natural segments, not assumptions — These aren’t filters. These are behaviorally-defined clusters built with real unsupervised ML.
Explainability built-in — Every segment comes with an AI-generated summary and a decision tree you can actually read.
Designed for activation — Segments become live fields, dynamic lists, and campaign triggers in your CRM or MAP. Not static labels in a dashboard.
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That’s the core of agentic analytics. That’s Scoop.
Why It Matters
Because the segment that drives your next quarter’s revenue might not live in your dashboards today—and the customer who churned last week didn’t just disappear. Their story was sitting in the data: skipped onboarding steps, no adoption of key features, three quiet support tickets with no follow-up. You just didn’t have the right lens to catch it.
That’s the kind of story Segment & Cluster Discovery was built to surface.
This isn’t about slicing by industry and ARR and hoping something obvious shakes out. Scoop analyzes everything—usage patterns, timelines, NPS scores, engagement drop-offs, support history—simultaneously. Then it finds natural clusters that actually mean something.
And when it does, it doesn’t just label them—it explains them. In business terms, with decision paths and confidence scores that humans can use. Not “black box” math, but behavior-driven clarity.
These aren’t insights that sit in a static deck. They’re live, behavioral segments that push straight into your CRM, CS platform, or MAP. They become fields, scores, alerts, dynamic lists—fuel for your next upsell motion or save playbook.
That’s not just a discovery feature. That’s what an AI data scientist tool should do.
Because the most valuable insights are almost always the ones you didn’t ask for.
Scoop gives you a system that finds them anyway.
The Next Step: Your AI Data Scientist in Action
Segment & Cluster Discovery gives you a new lens on your data. But the real shift happens when that lens becomes a system—one that finds the patterns, explains the why, and ties it all back to action.
That’s what Scoop’s full platform does. It doesn’t just find clusters—it runs ML models on top of them, surfaces signals that matter, and delivers explainable insights right where your teams work. No code, no handoffs, no waiting.
If you’re ready to see how discovery drives real outcomes, start with Segment & Cluster Discovery. And if you want to go deeper—predict churn, model conversion, and operationalize decisions—meet your AI Data Scientist.
