What if your data’s trying to tell you something—and you’re missing it?
Scoop finds the patterns you didn’t know to look for, using real machine learning to surface what’s driving your results. If you’re not seeing the full picture, you’re making decisions in the dark.
Your AI Data Analyst.
Used by Brands You Know and Trust
What You Can Do with Scoop's AI
You bring the data—Scoop does the rest. Clustering, prediction, comparison, time-based shifts—it runs real analysis under the hood, then explains what’s going on in plain English. Built for marketers, ops teams, and analysts who need to understand what changed, what’s working, and what to do next.
Explore Predictors
What’s driving outcomes like churn or expansion? Scoop finds the key traits behind each result—and explains what’s influencing them.
Explore predictors
Find Segments and Clusters
Uncover patterns you didn’t know to look for. Scoop groups similar users, accounts, or leads—even without predefined labels.
Find segments
Compare Groups
See what sets your best leads or top customers apart—Scoop compares any two groups to show the difference.
Compare Groups
Analyze Time-Based Differences
Compare two time periods to spot what changed in your pipeline, product usage, or campaigns.
Compare time periods
Got a Question? Use AI Chat.
Sometimes you know what you're looking for. You have a hunch. A scenario. A question.
Scoop AI Chat is built for exactly that—it gives you straight answers, backed by your data.
Just type what you want to know:
- "What happened with last week’s LinkedIn campaign?"
- "How many signups came from email this month?"
- "Which reps closed the most deals in Q1?"
Scoop AI Chat answers in plain English, instantly. If you want to create a chart or a visual, you just need to ask.
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 users, not data teams
Non-technical teams get real data science power. Analysts get a faster way to find answers without spinning up notebooks.
Real ML—not just summaries
Clustering, predictors, and comparisons aren’t just labels—they’re full models trained on your data in real time.
No setup, no dashboards, no SQL
Just upload your file or connect your tool. Scoop handles the prep, the modeling, and the interpretation.
Instant answers from any dataset
Whether it’s a campaign breakdown or end-of-quarter deep dive, Scoop gets you from raw data to real insight in minutes.
Built for the real “I need this now” moments:
"I have a campaign review in an hour—what happened?"
Drop in your campaign data. Scoop surfaces the key trends, wins, and dropoffs instantly.
"We changed sales stages last month—did anything shift?"
Compare periods or segments and see how behavior or outcomes changed over time.
"What makes our expansion customers different from renewals?"
Pick two groups. Scoop tells you what sets them apart.
How It Works
Whether you’re prepping for a campaign review or diagnosing a drop in signups, Scoop helps you figure it out—without a data team.
Bring in your data.
Upload a spreadsheet or connect to one of your business tools like HubSpot
Pick what you want to explore.
Explore predictors, find segments, compare groups, or analyze change
See what matters
Scoop runs real machine learning in the background and gives you a clear, explorable summary.
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.