How to export your TPT data
Signal Loom reads six CSV files from your TPT seller dashboard. Download whichever you have. You don't need all six for analysis to work.
KeywordStats.csvAnalytics > Keyword Stats
Most important file. Powers keyword scoring, intent signals, and trend comparisons.
TrafficData.csvAnalytics > Traffic
Shows where your visits come from: TPT search, external search, social, and more.
ProductInsights.csvAnalytics > Products (by product view)
Views, units sold, conversion rate, and earnings per product.
MyProductStats.csvAnalytics > Product Stats
Lifecycle data: posted date, previews, ratings, and more per product.
revenue.csvEarnings > Revenue
Monthly revenue summary. Used for financial trend signals.
sponsored.csvEarnings > Sponsored
Sponsored product earnings. Optional and only relevant if you run TPT ads.
Choose a useful date range
TPT lets you set a date range before downloading. This affects the quality of your analysis, not just Trends.
- For general analysis: Last 3 months or Last quarter gives the most useful signals. It reflects what is happening now, without old data diluting the picture.
- All time exports average patterns across years. A keyword that was active in 2022 but is now flat will still show visits, making it harder to spot what is actually working today.
🔒 Getting trend comparisons
Signal Loom has a Pro tier that can show you what changed between two periods: growing keywords, product movement, revenue shifts. To get clean trend data, export the same files twice using TPT's date range picker.
- 1. Go to the export you want for example, Analytics > Keyword Stats.
- 2. Set the date range to “Last quarter” and download. This is your “before” file.
- 3. Set the date range to “This quarter” and download. This is your “after” file.
- 4. Repeat for each export type. Keyword Stats, Traffic Data, and Product Insights all support date ranges.
- 5. Upload all files at once. Signal Loom detects the periods automatically and builds the comparison.
Non-overlapping periods (last quarter vs this quarter, or last month vs this month) give the cleanest comparison. Keep the period consistent across file types.