Stop asking ad-hoc questions. Start seeing the full picture.
Scoop flips the script on how you analyze data. Instead of searching for a needle in the haystack, Scoop scans your entire dataset—finding what’s changed, what’s driving results, and what patterns you’re missing.
It’s like having a data scientist tell you:
“Here’s what’s happening. Here’s what matters.”
And it does it in minutes—not months.
No dashboards. No SQL. Just real analysis, delivered.
Your AI Data Scientist
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Used by Brands You Know and Trust
What You Can Do with Scoop's AI
Bring your data—Scoop does the heavy lifting. Prediction, clustering, comparison, time-based analysis. Real machine learning runs behind the scenes, and Scoop explains it all in plain English. Built for ops leaders, marketers, and analysts who need answers—not just charts.
Let Scoop Tell Your Data's Full Story
Explore Predictors
What’s driving churn, expansion, or closed-won deals? Scoop pinpoints the strongest predictors behind each outcome and explains them.
Explore predictors
Find Segments and Clusters
Discover groups in your data you didn’t know to look for. Scoop clusters similar accounts, users, or leads—without needing pre-defined labels.
Find segments
Compare Groups
See what separates high-intent leads from low-intent ones—or churned customers from loyal ones. Scoop highlights the key differences.
Compare Groups
Analyze Time-Based Differences
Compare periods—before and after a price change, last quarter vs this one—to spot shifts in behavior or results.
Compare time periods
Got a Question? Use AI Chat.
Scoop runs real machine learning under the hood—then gives you the answer and the data behind it. Text explanations, charts, comparisons—whatever makes it clear. And when you’ve got a follow-up? Just ask.
This isn’t a chatbot scraping keywords. It’s your data analyst on demand.
Try asking:
- "What changed after the last feature release?"
- "Which accounts expanded in Q1?"
- "Where did we lose the most pipeline last month?"
Scoop answers in plain English—and if you need a chart or visual, just ask.
Why Scoop is Different
Scoop isn’t another dashboard or a chatbot that guesses at summaries. It runs real data science models—so you don’t just get charts, you get answers.
Built for business teams, trusted by analysts
Business users get insights without the wait. Analysts get models and patterns they can trust—without spinning up notebooks.
Real machine learning models, trained on your data—every time
Clustering, predictors, comparisons—these aren’t canned metrics. Scoop builds models on the fly, using all your data to surface what matters.
No Setup, No SQL—Just Answers
Upload a file or connect your tools. Scoop handles the modeling, testing, and interpretation in the background.
Fast enough for the “I need this now” moments. Deep enough for strategy.
Whether it’s a campaign review in 30 minutes or a board deck due tomorrow, Scoop gets you from raw data to real answers.
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.