You’re making decisions based on the data you can see. But what about what you can’t?
Scoop uses machine learning to scan your data for meaningful groups—users, customers, or accounts with shared behaviors you didn’t know to look for.
Then it explains what makes each one different—clearly, and in terms you can use.This isn’t filtering. It’s discovery—run by AI that actually analyzes your data.
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Used by Brands You Know and Trust
Why This Matters
The Most Important Patterns Are the Ones You’re Not Looking For
Most tools wait for you to define filters. Scoop finds what’s actually in the data.
Most tools wait for you to define filters. Scoop finds what’s actually in the data.
Quiet Churn
Customers logging in, but disengaging in ways your current metrics miss.
Unusual Converters
A lead type converting fast—but nothing like your typical persona.
Behavior Shifts
Changes in user behavior that fly under the radar until it’s too late.
What It Actually Does
Real Machine Learning, Without the Data Science Degree
Scoop runs advanced clustering algorithms and explains the results in business terms
Let Scoop Tell Your Data's Full StoryScoop runs advanced clustering algorithms and explains the results in business terms
Discovers Optimal Clusters Automatically
Uses advanced algorithms to group users or accounts by shared behavior across all variables—not just the obvious ones.
Explains What Makes Each Group Unique
Plain-language breakdowns of the traits that define each cluster.
Surfaces Non-Obvious Patterns
Finds statistically significant groupings you wouldn’t think to filter for.
Makes Segments Reusable
Explore, compare, and apply segments across other workflows in Scoop.
How It Works
Real Discovery in Three Simple Steps
No prep. No prompts. Just connect and go.
Step 1: Connect Your Data
Upload a file or link a tool like HubSpot, Mixpanel, or Salesforce.
Step 2: Let Scoop Analyze
Clustering models scan dozens of variables to find optimal groupings.
Step 3: See the Story
Get labeled segments and clear explanations you can explore or reuse.
Powered by Agentic Analytics
Scoop doesn’t wait for filters, prompts, or pre-built logic.
It explores your data the way a data scientist would:
running structured analysis to find real patterns, then explaining the results so you can actually use them.
That’s what makes it agentic—it acts on your behalf.
You don’t need to know what you’re looking for.
Scoop finds it, explains it, and makes it actionable.
Why Scoop is Different
Scoop isn’t trying to be your dashboard—or another AI that spits out summaries. It’s an actual analysis engine built for people who need substance, not guesswork.
Built for Business Teams
No coding, no data prep, no guesswork.
No Filters, No Prompts
Skip the setup. Scoop finds the patterns on its own.
Agentic Analytics Engine
AI that explores and explains—just like an analyst would.
Works from a Single Dataset
No need for a complex stack or a data team.
Use Cases That Actually Matter
These are real business questions Scoop helps you answer—questions you’d normally hand off to an analyst, but now you can just ask directly.
Marketing
Discover unexpected audiences that consistently convert
Identify behaviors that segment leads more meaningfully than standard stages
Customer Success
Spot disengaged accounts before they churn
Group customers by hidden usage patterns to improve retention
Sales & RevOps
Surface patterns shared by fast-closing deals
Reevaluate your ICP based on what’s actually working in your pipeline
Frequently Asked Questions About Scoop's AI Data Analyst
What kind of analysis does Scoop AI actually run?
Scoop uses clustering, classification, and predictive models to identify patterns, segments, and relationships in your data. Then it uses LLMs to explain those findings clearly.
How is this different from a dashboard tool?
Dashboard tools show you what you already know to look for. Scoop AI runs analysis to uncover what you didn’t know to ask—then helps you drill deeper.
Can I use this without connecting live data?
Yes. You can upload a spreadsheet or use a static export from any tool. Scoop AI works with one-off data just as well as connected sources.
Do I need technical experience to use this?
No. Scoop was built so that operators, marketers, and CS teams can use it without knowing SQL or machine learning.
What kind of data works best in Scoop?
Tabular business data—things like CRM exports, campaign data, product usage logs, revenue metrics, etc. Anything that tracks actions, results, or user traits.
How fast does it work?
Most analyses run in under a minute. Larger datasets may take slightly longer, but Scoop automatically samples when needed.
Can I save or reuse the results?
Yes. You can persist segments, create filters, and use results in presentations or reports later.
What’s the difference between AI Chat and the other tools?
AI Chat is great when you have a specific question. The other tools—like predictors and clustering—are for when you don’t know where to start and need help finding the story.
Is this secure?
Yes. Your data is never shared or used to train external models. Everything runs securely within your session.