Discover What’s Hiding in Your Data
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Predictive Analytics
Know Why, Not Just What
Turn any metric or formula into a living playbook of the factors that drive it.
Discover Your Drivers
The Analytics Problem Every Team Faces
Surface-Level Metrics
Your dashboards show what happened, but can't explain why. You see churn went up, but not which combination of factors drove it.
Black-Box Predictions
Vendor scoring models give you numbers you can't explain. How do you trust or act on a score when you don't know what drives it?
Data Science Bottleneck
Getting predictive models built takes months of backlog. By the time you get insights, the business has moved on.
Why Traditional Tools Fall Short
| Capability | Traditional Reporting & BI | Scoop Driver Analysis |
|---|---|---|
| Analysis Type | Single-dimension breakdowns only | Multi-variate decision trees capture complex interactions |
| Explanation | Raw statistics requiring interpretation | Plain-English summaries: "If X & Y, outcome = Z (92% probability)" |
| Model Updates | Manual rebuild for each time period | Refresh in seconds with saved templates & filters |
| Actionability | Results stuck in dashboards | Scores sync to CRM, trigger automated workflows |
| Transparency | No audit trail for calculations | Visual tree shows every decision path & confidence level |
How Scoop Reveals What Drives Your Metrics
1
Pick Any Target
Choose any column or create a formula - churn flag, win rate, NPS score, days to close. If you can measure it, Scoop can explain it.
2
Automatic Analysis
Advanced algorithms analyze all variables simultaneously, handling data prep, balancing, and finding the patterns that matter.
3
Actionable Insights
Get visual decision trees you can explore, plain-English explanations to share, and scores that sync directly to your CRM.
Real Business Impact Across Every Team
Customer Success - Churn Prevention
Problem: Black-box vendor models or months-long data science backlog
"Churn Risk ≥ 0.8" score in Gainsight with exact behaviors to address: low logins + pending security review + no exec sponsor
Sales - Lead Prioritization
Problem: Simple scoring based only on company size misses hot leads
Tree reveals "Demo booked + ≥3 product events" outranks revenue. Auto-route these leads to A-players.
Marketing - Upgrade Propensity
Problem: Manual cohort analysis every quarter takes weeks
Continuous scoring drives dynamic segments in Marketo. "Power users with team size >10" get expansion campaigns.
Product - Feature Adoption
Problem: Mining usage data one metric at a time in SQL
"Users who invite ≥3 peers within 24h activate 6× faster" - trigger in-app tours automatically
From Question to CRM-Ready Score in 5 Clicks
Time: ~2 minutes, zero code required
1
Pick dataset & filters
2
Choose target column
3
Select features
4
Find Drivers
5
Save to CRM
Why Business Users Love It
Spreadsheet-Friendly
Any formula you can write becomes a target or driver. No ETL, no SQL, just business logic.
Narrative First
Read insights in sentences before looking at statistics. Share with anyone instantly.
Full Transparency
Trace every score through visual trees. Perfect for compliance and executive buy-in.
"Because scores write back to the CRM your team already uses, your model is actually used, not just admired."
Stop Guessing What Drives Your Business
Get transparent, self-refreshing predictive models with narrative explanations
and CRM-ready scores — delivering the why behind your KPIs.