Once a week, block 30 minutes and walk the same short path through your store’s numbers, looking only for money that’s leaking — orders you nearly made and lost, customers who went quiet, flows that broke, margin you gave away without deciding to. Not a full audit. A quick, repeatable patrol of the handful of […]
Category Archives: Revenue Leak Diagnosis
If your store gets steady traffic and steady orders, the fastest growth left usually comes from plugging the places where the visitors and customers you already have leak out un-captured, rather than from buying more visitors. This is that checklist: a run down the whole path from first click to repeat order, with a yes/no […]
Revenue going up tells you almost nothing on its own, because you can buy revenue. The metrics that actually separate growth from spending are the ones that pair sales against what those sales cost you: contribution margin after ad spend, blended customer acquisition cost against customer lifetime value, repeat-purchase rate, and your ratio of new-to-returning […]
Every day, people show real buying intent in your store — they view products, add to cart, start checkout — and then leave without buying. If you never follow up, you don’t just lose that one sale. You lose the cheapest, warmest demand you’ll ever have, because you already paid an ad platform to send […]
The customers a store forgets aren’t the strangers who never bought. They’re the people who already engaged — browsed, bought once, were due for a reorder, went quiet — and then heard nothing. Most stores pour their energy into acquiring new visitors and their follow-up into abandoned carts, and that’s roughly where it stops. The […]
Revenue in an online store arrives through a chain of about seven handoffs, not a single event, and money leaks at every joint. A shopper clicks, lands, views a product, adds to cart, checks out, receives the order, and (if you did the follow-up work) comes back for a second one. Each arrow between those […]
A traffic problem means not enough people are arriving; a revenue-recovery problem means plenty arrive but you’re failing to turn the ones who showed intent into orders and repeat orders. The two feel identical from the owner’s chair — sales are lower than they should be — but the fixes are opposites. A traffic problem […]
A sales spike and real growth look identical on a revenue chart for about a month. The way to tell them apart is one question: can the increase repeat without you spending more, discounting harder, or getting lucky again? A spike is a single event — a press feature, a post that traveled, a big […]
When every leak feels urgent, rank them by one number: recoverable euros per hour of your time. Estimate how much annual revenue each leak is quietly costing you, divide by how long the fix would take, and work the list top to bottom. Do the leaks one at a time. The reason everything “looks important” […]
To find the customers who almost bought and then vanished, stop looking at who did buy and start looking at who signalled intent without finishing. The clearest signals sit in data you already collect: an abandoned cart, a started-but-unpaid checkout, repeat visits to the same product, an email opened three times but never clicked through […]