Does the price follow your catalog or your ambition?
Plans that count tracked products punish curiosity: adding a category to watch has a price tag, so you watch less than you should. Pricemancer meters actual work in tokens — 1 per discovered URL, 1 per collected price, 1 per auto-matched SKU — and leaves the number of tracked sites unlimited on every plan, including the free one.
What does adding the eleventh shop cost you in time?
The interesting cost is rarely the invoice; it is the afternoon spent mapping products to URLs. Here you enter a name and a domain, and discovery builds the product list on its own from sitemaps, platform APIs, category pages and site search. There is nothing to configure per shop.
How much of your catalog actually gets matched?
A monitoring tool is only as good as the share of your SKUs it can find in the market. Matching runs on EAN first, then manufacturer code, then brand and model, and only then name similarity — and uncertain pairs go to a review queue rather than being linked quietly. Rejections are remembered, so the match rate climbs over the first weeks instead of sitting still.
Can you leave with your data?
Every view exports to XLSX with the filters you applied on screen. Nothing is locked behind a report builder, and paid plans read your catalog straight from your ERP or store API instead of requiring a re-upload each time your assortment changes.
Test it on one shop before you commit
Feature lists are hard to compare and easy to game. Pick one competitor domain you care about, run it through whatever you are evaluating, and compare how many of your products came back with a usable price. That number decides it faster than any grid.