Revolutionary Analytics

Meet Scoop's AI Data Scientist

Data science horsepower & storytelling skills — without the data scientist.

See It In Action

What Is an AI Data Scientist?

Think of it as a virtual analyst that lives inside Scoop. Upload a spreadsheet or connect your CRM, and watch it work its magic.

1

Profiles & Prepares

Automatically detects columns, fixes anomalies, creates helpful buckets — the tedious work analysts spend 80% of their time on.

Creates "Small / Mid / Enterprise" buckets automatically
2

Runs ML Plays

Clustering, prediction, time comparison — automatically chosen based on your question or launched on demand.

EM clustering finds hidden customer segments
3

Explains & Acts

Translates results to plain English and writes scores back to your CRM for immediate action.

"7× more likely to convert" + PQL score to CRM

Why Your Current Tools Can't Do This

Capability Traditional BI Built-in SaaS Reports Scoop AI Data Scientist
Data Prep Manual SQL, ETL tools None (assumes perfect data) Full Excel-grade formulas & auto cleaning
Questions Answered "What happened?" KPIs for one product "Why?" & "What will happen next?"
Machine Learning External tools, data scientists None Integrated ML models, auto-chosen
Explainability Static charts Aggregated lists Human-readable rules + AI summaries
Time to Insight Days–weeks Minutes (simple only) < 10 min for complex multi-variate answers

BI tells you the score after the game. Scoop tells you the playbook to win the next one.

What You Can Do Today

😰 "Why are last month's churns spiking?"

Time-Period Explain model pinpoints behavioral shifts automatically.

Churn surge driven by customers with <5 weekly active users AND no onboarding call.
🎯 "Which leads deserve a personal demo?"

Predictor model ranks new sign-ups and shows the exact signals.

PQL score written to Lead.Priority__c; SDRs focus on top 15%.
💰 "Who should we upsell?"

EM Cluster finds power users, then AI narrates what makes them unique.

Segment 'Power Collaborators' = 6% of base, 3× plan-upgrade rate.
🚫 "What makes Enterprise deals stall?"

Group Explain compares closed-won vs closed-lost > $50k.

Deals with only a single champion AND no success plan hit 12% win rate.

From Question to Action in Minutes

graph LR A[Upload Data or
Connect CRM] --> B[AI Profiles &
Prepares Data] B --> C{Choose Analysis} C -->|Predict| D[Decision Trees] C -->|Segment| E[Clustering] C -->|Compare| F[Time Analysis] D --> G[Plain English
Explanation] E --> G F --> G G --> H[Interactive
Visualizations] H --> I[Scores to CRM] I --> J[Automated
Actions Fire] style A fill:#4763F5,stroke:#333,stroke-width:4px,color:#fff style G fill:#E3165B,stroke:#333,stroke-width:4px,color:#fff style J fill:#4763F5,stroke:#333,stroke-width:4px,color:#fff

Why You Should Care Now

Minutes, Not Months

Upload data at 9am; present insights at the 10am stand-up. No waiting for IT or data teams.

🔍

No Black-Box AI

Every score comes with a clickable tree & one-sentence rationale. Trust what you understand.

🔄

Lives Where You Work

Scores & segments flow back to Salesforce, HubSpot, Gainsight. Insights become actions instantly.

👥

Teams Love It

Same engine powers retention models, persona segments, growth campaigns. Everyone wins.

📈

Scale Infinitely

One RevOps manager with Scoop can out-deliver a small data science squad.

🎯

Act Immediately

From insight to automated campaign in the same platform. No CSV exports, no manual updates.

Ready to Meet Your AI Data Scientist?

See real models on real data — leave with actionable scores in your CRM.

30-minute demo
Your data or ours
Live scoring to CRM
Book Your Demo