Analytics provide detailed insights into your AI Tools performance, earnings, and buyer behavior. Use this data to optimize your offerings and grow your seller business on SellerShorts.
Overview
The Analytics dashboard gives you comprehensive visibility into how your AI Tools are performing. You can track both financial and operational metrics.
Use analytics to track revenue, understand usage patterns, and identify opportunities for improvement.
Accessing analytics
Dashboard navigation – Click "Analytics" in the seller sidebar
Direct URL – Navigate to /seller/analytics
Quick access – Links from Order Attention and other seller pages
Filter controls
Customize your analytics view with flexible filtering options:
Date range filters
From date – Set start date for data analysis
To date – Set end date for data analysis
Custom ranges – Any date range up to your account creation date
AI Tool search
Search by name – Find specific AI Tools in your data
Real-time filtering – Results update as you type
Partial matches – Finds AI Tools with similar names
Clear filters – Reset to show all AI Tools
Summary cards
The top section displays key performance metrics:
Financial overview
Gross Revenue – Total sales before fees (buyer payments)
Platform Fees – Commission applied by the platform
Net to You – Your earnings after fees
Available Balance – Earnings ready for payout
Status breakdown
Available – Earnings cleared and ready for payout
In Hold – Recent earnings in hold period
Paid Out – Earnings already transferred to your bank
Analytics table
The main table shows detailed performance data for each AI Tool:
Table columns
Short Name – AI Tool title (clickable link to public page)
Runs – Total number of times the AI Tool was purchased/run
Gross – Total revenue generated (before fees)
Platform Share – Platform fees
Net – Your earnings after fees
Last Run – Date of most recent purchase
Sorting and analysis
Sort by any column – Click headers to sort ascending/descending
Revenue ranking – Identify your highest-earning AI Tools
Usage frequency – See which AI Tools get run most often
Recent activity – Find AI Tools with recent purchases
Performance insights
Revenue analysis
Top performers – AI Tools generating the most revenue
Revenue per run – Calculate by dividing gross by runs
Seasonal patterns – Use date filters to identify trends
Growth trends – Compare different time periods
Usage patterns
Popular AI Tools – High run counts indicate demand
Single-run purchases – AI Tools with 1 run per purchase (default setting)
Multi-run purchases – AI Tools where sellers configured multiple runs per purchase (2, 3, 5+ runs), or buyers making repeat purchases of the same AI Tool
Inactive AI Tools – Low or zero runs need attention
Optimization opportunities
Underperforming AI Tools – Low runs despite good positioning
Pricing analysis – Compare performance across price points
Description effectiveness – High views but low conversions
Financial tracking
Revenue calculations
Example AI Tool at $25:
Buyer pays: $25.00
Gross revenue: $25.00
Platform fee: $7.50
Your share (after fees): $17.50
Net to you: $17.50
Fee breakdown
Platform fees – Applied to gross revenue (shown in-app)
Processing fees – Handled by the platform (no deduction from your earnings)
Currency conversion – Handled by the platform for non-USD transactions
Dispute fees – Handled by the platform (rare)
Using analytics for growth
Identify successful patterns
Best-performing AI Tools – Focus on successful patterns
Optimal pricing – Find price points that maximize revenue
Effective descriptions – Analyze what sells vs. what doesn't
Timing patterns – Understand when buyers are most active
Improve underperformers
Low-run AI Tools – Improve descriptions, add portfolio images
Poor conversion – Adjust pricing or clarify value proposition
Outdated AI Tools – Update content or retire inactive ones
Technical issues – Fix AI Tools with high failure rates
Plan new AI Tools
Demand analysis – Create new AI Tools similar to successful ones
Price positioning – Use data to set competitive prices
Feature gaps – Identify unmet needs in the market
Seasonal opportunities – Time launches for peak demand
Using analytics data
Regular monitoring
Weekly reviews – Check performance trends in the dashboard
sellershorts