You pick a column in your dataset—like “Churned,” “Renewed,” or “Converted.” Scoop runs a predictive model to find the traits and behaviors most strongly connected to that field—then explains what matters in plain language, with context you can act on.
No filters. No assumptions. Just real machine learning model analysis, done for you automatically.
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Used by Brands You Know and Trust
Why This Matters
You can’t fix what you don’t see.
Surface what’s actually driving your metrics—not what’s convenient to measure. Scoop finds signals you didn’t know to look for.
Surface what’s actually driving your metrics—not what’s convenient to measure. Scoop finds signals you didn’t know to look for.
Most teams rely on surface-level data
Because it’s fast to filter—but often misleading.
Scoop explores the entire dataset
It runs advanced ML models to find real relationships.
Small patterns, big impact
Even subtle signals get surfaced and explained.
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
You select a column—like churn, conversion, or closed-won
Define the outcome you want to analyze.
Scoop runs a real predictive model to identify top drivers
It finds the traits and behaviors most strongly connected.
It evaluates every variable in your dataset simultaneously
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
Predictive analysis, done for you—instantly.
No setup, no SQL, no tuning. Just answers.
Upload a dataset
Bring your CRM, CS, or revenue data into Scoop
Select an outcome to analyze
Choose a field like “Renewed” or “Churned”
Let Scoop do the rest
It builds the model, runs the analysis, and explains the results
Powered by Agentic Analytics
This isn’t AI summarizing dashboards. It’s AI doing real analysis.
Scoop doesn’t rely on prompts, filters, or templates. It executes the entire analytics workflow on your behalf.
- Chooses the right ML method
- Runs structured, explainable models
- Cleans and interprets the data
- Delivers clear, contextual insights
Agentic Analytics means Scoop acts like an analyst, thinks like a data scientist, and communicates like a strategist.
Why Scoop is Different
Most tools tell you what might matter. Scoop tells you what does.
No generic summaries. No surface-level trends. Scoop delivers grounded, math-backed analysis from your actual data.
Built on explainable ML—not black boxes
Models you can actually inspect, understand, and trust.
Analyzes your full dataset all at once
No slicing, filtering, or manual grouping—Scoop sees everything at once.
Removes noise and redundancy automatically
Flags overlapping or irrelevant inputs so the real drivers stand out.
Translates results into human-readable insights
No stats degree required—Scoop explains the logic in plain terms.
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.