Pick-Me AI provides studios with a powerful analytics system that helps understand each model's effectiveness, optimize processes and make decisions for revenue growth.
In this guide you'll learn how to read each metric, what the data means and what actions to take to maximize results.
💡 Who this article is for:
Studio managers, agency owners and everyone who manages a team of models and wants to increase their effectiveness with AI tools.
Pick-Me AI Analytics Levels
Pick-Me AI offers three analytics levels depending on the plan:
- Basic — basic activity analytics
- Advanced — + AI model analysis with recommendations
- Pro — + ROI analysis and model comparison
Basic Analytics
Basic analytics is available on all plans and shows general studio activity.
Key Metrics
1. AI Active (number of models)
Shows how many models are actively using Pick-Me AI right now.
How to use: If the number is less than total models — check why some aren't using the system. May need training or technical setup.
2. Average Tokens (average generations)
Average number of AI-generated responses per model.
How to use: Track how actively the model uses AI responses depending on their plan limits. If model uses less than 30% of available limit — may not understand how to use system effectively.
3. Average Scans
Average number of scanned messages per model.
What it means: More scans = more data for AI analysis and personalization. More scanned dialogs means AI better understands model's style.
4. Average AI Generations
Number of unique AI responses on average per model.
How to read: High value = models actively communicate with fans and use AI for acceleration.
5. Average Broadcasts
Average number of mass mailings per model.
Norm: from 1 mailing per day.
What to do: If mailings are 0 — teach models to use mass messages to bring back clients.
AI Model Analysis (Advanced)
On Advanced plan smart AI analysis is available that studies each model's activity and gives personal recommendations.
Model Statuses
System automatically classifies models by three statuses:
- 🟢 Excellent — model effectively uses system, high activity
- 🟡 In Progress — model started using, but has potential for improvement
- 🔴 Not Scanned — model hasn't started scanning or inactive
ROI Analysis (Pro)
On Pro plan return on investment (ROI) analysis is available — the most important metric for studios.
⚠️ IMPORTANT:
ROI analysis only works when platform API integration is connected (e.g., Stripchat). Without integration earnings data won't be available.
How ROI Analysis Works
System shows model earnings by periods:
- 30D BEFORE — earnings for 30 days before using Pick-Me AI
- 0-30D — earnings for first 30 days with Pick-Me AI
- 31-60D — earnings for days 31-60 with Pick-Me AI
- CUSTOM A/B — custom periods for analysis
✅ Analysis example:
Model Sofia:
- 30D BEFORE: $1217.65
- 0-30D: Doubled
- 31-60D: Consistently high earnings
Conclusion: Pick-Me AI brought real revenue growth. Model uses system effectively.
Model Comparison (Pro)
Comparison table helps understand which models work more effectively and why.
Metrics for Comparison
- Messages Scanned — base for AI
- Notes — personalization quality
- AI-GEN — AI response usage
- AI BROADCASTS — mass messages
- Time in Extension — activity
- Rating — overall effectiveness score (stars)
Weekly Analytics Checklist
Check every week:
- ☑️ Basic analytics — are all models active?
- ☑️ AI model analysis — who's in "not scanned" status?
- ☑️ ROI — are model earnings growing?
- ☑️ Ratings — who's falling behind and why?
- ☑️ AI recommendations — what actions are needed?
This will take 15-20 minutes but will help make right management decisions.
Conclusion
Pick-Me AI analytics is not just numbers. It's a decision-making tool that helps:
- Identify top performers and replicate success
- Find problems before they affect revenue
- Make management decisions based on data, not intuition
- Scale studio effectively
Try Pick-Me AI for Your Studio
Enterprise plan includes full analytics + personal support
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