Revenue Estimation Methodology
How we estimate infoproduct revenue, and why it works
The Inspiration: BrandSearch
InsightRaider is built on the same principles as BrandSearch, a $110M company that estimates revenue for thousands of Shopify and Amazon stores.
Their work proved you can estimate digital product revenue within ±20% accuracy by combining public data with the right algorithms.
3 Pillars Behind Our Estimates
1. Public Signal Scraping
We automatically collect publicly available data from product platforms:
- Rankings: where the product sits in bestseller and trending lists
- Reviews: total count and how fast they're growing
- Ratings: averages and score distribution
- Metadata: creation date, creator, category, price
- Followers: creator's subscriber count (when available)
2. Web Traffic Analysis
We estimate product page traffic using third-party sources:
- SimilarWeb API: overall traffic and where it comes from
- Backlinks: count and quality of incoming links
- Social signals: shares on Twitter, Reddit, etc.
- SEO metrics: keywords, domain authority
Simplified formula: Monthly traffic × Average conversion rate × Price = Estimated revenue
3. Cross-Validated Estimation
We run multiple estimation methods and compare results:
- Ranking model: how ranking position correlates with revenue
- Reviews model: reviews-to-sales ratio based on known benchmarks
- Traffic model: conversion rate applied to estimated web traffic
- ML model: trained on datasets of products with confirmed revenue
Final estimate is a weighted average of all 4 models, adjusted by data availability.
Validation and Accuracy
Known Benchmarks
We test our estimates against products where creators have publicly shared their revenue:
- Pieter Levels (Nomad List): monthly revenue posted on
- Tony Dinh (DevUtils): revenue shared on Twitter
- Marc Louvion (ShipFast): revenue reported on Indie Hackers
Margin of Error
We're targeting ±20% accuracy on estimates.
⚠️ Important Limitations
Estimates aren't guarantees. Actual revenue can differ because of:
- Flash sales and promotions we can't detect
- Organic vs. paid traffic mix
- Seasonal swings
- Dynamic pricing
Update Frequency
Standard plan ($49/month)
Weekly updates
- Fresh scrape every Friday
- 6-month history
- Top products tracked on every platform
References
- BrandSearch - Revenue estimation for Shopify/Amazon
- Jungle Scout - Analytics for Amazon sellers
- SimilarWeb - Web traffic analysis
- Indie Hackers - Creator community with public revenue data
Questions about how this works?
Want to know more about our algorithms or have suggestions?
Talk to our data team →