Grow an online store on decisions, not dashboards.
A store throws off more data than any team can read. Every SKU, channel, campaign and cohort moves daily. Decifer pulls it together and surfaces the few moves that grow revenue, organised by the product categories you actually manage.
A store generates more signal than anyone can watch.
Every product, channel, campaign and customer cohort moves every day. The winning SKUs and the quiet leaks are buried in exports, and by the time a monthly report surfaces them you are already reacting to the past.
The job is not another dashboard of totals. It is to watch all of it continuously and surface the handful of moves that actually change revenue, which is exactly the work a store never has the hours to do by hand.
What we won't do
- Invent a number. Every figure is computed from your data.
- Promise a conversion lift without an A/B test to confirm it.
- Treat every category the same when their economics differ.
The problems we solve here.
Sector-specific, and each one computed from your own connected data.
Which categories are really growing
Revenue and margin, not a blended top line
Demand, revenue and margin by category, so you see where to lean in and where you are discounting into the ground, instead of a single healthy-looking number that hides both.
Where the funnel leaks money
Drop-off, sized in revenue
Product-page-to-checkout drop-off by category and device, translated into the money it costs, so the biggest leak is the one you fix first.
Who buys again, and who is slipping
From real order history
Repeat behaviour and at-risk segments read from actual orders, so retention effort goes to the customers worth keeping while there is still time.
Organised by what matters to you.
Category
Decifer organises a retailer's world by product category. Every signal, decision and comparison rolls up to the categories you actually manage, so a blended top line never hides which part of the store is winning and which is bleeding.
The capabilities that fit this sector.
The same engine and modules, switched on for what this industry needs. Open any one to see how it works.
Discoverability
SEO and AEO today; GEO for AI search is on the way.
ExploreCRM & Retention
Segment, reactivate dormant customers, and grow the active base.
ExploreAnalytics
Lifetime value and cohorts, computed from your own data.
ExploreCRO & Commerce
Find and fix the friction losing you conversions and revenue.
ExploreLoyalty
Reward economics, tiering and redemption that lift repeat spend.
ExplorePaid
Spend efficiency and pacing, with budget moved to what works.
ExploreOne decision, reasoned end to end.
The shape every decision takes in this sector: a measured signal, what changed, the move, and the figures behind it. The numbers below are illustrative.
One category is carrying the store while another quietly bleeds margin.
Signal
Watches grew 14% in revenue this quarter but at 6 points lower margin, driven by discounting. Accessories shrank 9% on flat traffic. The blended top line looks healthy and hides both.
What changed
Overall store revenue is up, so nothing looks wrong at the top. Split by category, one line is buying growth with margin and another is stalling on flat traffic. Two different problems the blended number conceals.
The move
- Review the watch discounting against margin targets before it sets a permanent price anchor.
- Investigate the accessories stall: traffic is flat, so it is conversion or assortment, not demand.
- Rebalance paid budget toward the category clearing its margin target.
Seeing revenue and margin by category, not blended, is the difference between celebrating a quarter and catching the two problems inside it.
What we connect for this sector.
Read-only connections to the systems you already use. Every figure is computed, never invented.
See it on your own data.
Request access and we set up your workspace, configured for your industry. Connect your sources, and the decisions start the same day.