Competitive pricing, without manual research
Monitor your competitors' prices automatically. Set rules for how your prices should react — price X% below the lowest or the median, with margin floors that always bind. Rules suggest prices by default; applying them automatically is an active choice you make yourself.
Why Ecombooster?
Manual price research takes forever
Keeping track of where competitors land on your 1,000+ items is impossible manually. It gets done sporadically or only on top products — and the rest of the assortment runs blind.
Reactive pricing loses money
When a competitor cuts prices you see it days later — if at all. In the meantime you lose conversions. When they raise prices you leave margin on the table because you don't keep up.
Generic pricing rules aren't enough
Your existing pricing rules are based on cost + markup. They know nothing about what the market is actually doing. Result: you're either unjustifiably expensive or leaving margin behind.
How Ecombooster helps
Find the competitors you are not watching
Competitor Discovery ranks every shop found selling your products by how many of them it actually carries, and shows whether you already import prices from there — so a shop appearing on hundreds of your articles but missing from your price comparison becomes visible. Uncertain matches land in a worklist where each row shows how distinctive the matched term is (a model number is decisive; a generic size description is not) and the competitor's price against yours. The list is ordered strongest-evidence-first, so stopping halfway still means you have reviewed the most likely matches.
Automatic competitor monitoring
Crawl selected competitor stores daily and match against your catalog automatically. Get structured data: which competitors carry the same item, what it costs at them, how often the price changes. A market lookup starts directly from the interface — you see how many products will be searched and the estimated cost before anything is written, and you can set a refresh schedule, since around 30% of listings change within five days.
Price against the lowest or the median
The "X% below or above competitor" rule lets you choose whether it calculates on the lowest competitor price or the median — the median is less sensitive to a single clearance sale that would otherwise drag your whole price picture down. One matched competitor is enough for the rule to fire. The comparison uses the price the competitor actually charges: a competitor running a sale is compared at the sale price, not the list price.
Margin floors that always bind
Set minimum margin as a percentage, as a fixed amount, or both — the floor that yields the higher price wins, which is exactly what "never below X% or Y kronor" means. Floor rules are applied last regardless of priority, so a competitor rule can never push the price through them.
Suggestions by default — automation is your call
Competitor-based rules suggest prices by default and only set them automatically once you explicitly switch that on. Until then the rule runs as usual and shows the price it would set, while your actual prices stay untouched. Every change to the setting is recorded with the name of the person who made it — algorithmic pricing should be a documented choice with someone accountable behind it.
Sort by what the gap is worth
The competitor price comparison shows your price against the lowest and the median, the gap in percent, and what the product turned over during the selected period. The list is sorted by what the gap is actually worth — so a 4% error on your bestseller ranks above a 40% error on a shelf-warmer. The same price position is available as a filter in the product list, and a headline figure shows what share of the period's revenue is already priced above the cheapest matched competitor — the measure that tells you when to stop. A match that looks implausible is flagged "check this match" rather than presented as a pricing opportunity.
Every price can be traced back
The price breakdown names the competitor behind the price, so any pricing decision can be traced back to the observation it rests on. A rule that matched but declined to set a price states its reason — for instance that the only observation is older than your freshness window. Stale observations still appear on the comparison page with their date, but the engine does not act on them.
Alerts when the market actually moves
Be notified when a matched competitor goes out of stock, comes back in, drops their price by more than your threshold, or moves below your own price. Alerts are off by default and switched on per company. Your own price increases never trigger one — a repricing engine that just raised your price should not then alert you about what it did. A frozen feed is silenced too, so you are not alerted about a market that is months old.
Competitor data handled with care
For sources marked as competitors, only the image URL and a checksum of the description text are stored — not the text itself. That is enough to detect change without retaining anyone else's wording. Where you need your own description, it is composed from the facts read out of the page, never from the source's phrasing, and a similarity check confirms this before the text is stored. Model, prompt version, timestamp and source URL are recorded with every generated text.
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