Analytics

Analytics provide detailed insights into your AI Shorts 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 Shorts are performing financially and operationally. 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 Short search

• Search by name – Find specific AI Shorts in your data
• Real-time filtering – Results update as you type
• Partial matches – Finds AI Shorts with similar names
• Clear filters – Reset to show all AI Shorts

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 Short:

Table columns

• Short Name – AI Short title (clickable link to public page)
• Runs – Total number of times the AI Short 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 Shorts
• Usage frequency – See which AI Shorts get run most often
• Recent activity – Find AI Shorts with recent purchases

Performance insights

Revenue analysis

• Top performers – AI Shorts 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 Shorts – High run counts indicate demand
• One-time purchases – AI Shorts with single runs
• Repeat business – AI Shorts with multiple runs
• Inactive AI Shorts – Low or zero runs need attention

Optimization opportunities

• Underperforming AI Shorts – 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 Short 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 Shorts – 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 Shorts – Improve descriptions, add portfolio images
• Poor conversion – Adjust pricing or clarify value proposition
• Outdated AI Shorts – Update content or retire inactive ones
• Technical issues – Fix AI Shorts with high failure rates

Plan new AI Shorts

• Demand analysis – Create AI Shorts 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
• Monthly summaries – Comprehensive performance analysis
• Quarterly planning – Strategic decisions based on data
• Performance tracking – Monitor trends over time

Analytics best practices

• Regular monitoring – Check analytics at least weekly
• Track trends – Look for patterns over time, not just snapshots
• Compare periods – Month-over-month and year-over-year comparisons
• Action-oriented – Use insights to make specific improvements
• Document changes – Track what optimizations you make

Common analysis scenarios

New seller analysis

• First 30 days – Track initial performance trends
• AI Short comparison – See which types work best
• Pricing validation – Confirm price points generate sales
• Market response – Understand buyer preferences

Established seller optimization

• Portfolio pruning – Identify AI Shorts to retire
• Resource allocation – Focus time on highest-performing AI Short types
• Competitive positioning – Adjust strategy based on performance
• Scale planning – Determine capacity for new AI Shorts