E-commerce
We help online shops. We handle order problems, returns and product data with automation, and we run ads on a steady supply of new creative. Both are measured against the margin you keep and whether customers buy again, not the return on a first order.
E-commerce
Where e-commerce growth stalls
Two things quietly cap an online brand. Ad creative that cannot keep pace with how fast ads wear out, and an operations team spending its week on the small share of orders that go wrong: the address that will not validate, the split shipment, the return that needs a decision, the supplier who confirmed nothing. We automate the second and speed up the first, then work on the repeat purchase that decides what you can afford to pay for a customer.
Four limits that show up once a shop is past its first plateau. Two are in the ad account and two are in the warehouse.
- 01
Order problems eating the operations week
Most orders are never touched by a person, and a small share eats the whole team: failed address checks, split and partial shipments, stock mismatches, suppliers who did not confirm, returns that need a judgement. We build the workflow that reads each problem, settles the ones with a clear rule, and passes the rest on with the background already gathered. The gain is time, and after that it is consistency: the same case stops being decided differently depending on who picked it up.
- 02
Ads wearing out faster than you can make new ones
Performance fades on a schedule now. A winning ad lasts weeks, and an account making four concepts a month will always be beaten by one making twenty. We build a creative pipeline sized to the spend, with a clear idea behind each concept, so even the losers teach you something.
- 03
First-order return as the only number
Optimising only for the return on a first order caps you at customers who buy straight away and cheaply. We model the margin including the second and third order, which usually shows more room on acquisition cost than your target allowed, and that some of your best groups of customers looked unprofitable on day one.
- 04
Product data work that grows with every product
Data entry, descriptions, tags, image descriptions and feed upkeep grow with the catalogue and get skipped first when the team is busy, which is why merchandising and search both quietly slip. We automate the writing and the checking, using your real product data, with a person reviewing anything the workflow is unsure about.
What we do
What we run for E-commercecompanies
Good questions
Common questions
What ad spend do you work with?
For ads, enough each month for creative testing to give a clear answer. Below roughly ten thousand a month the limit is usually the offer or the product page, and we will say so. The automation work has no spend threshold, only a volume one: it pays back on repetition.
Do you build on Shopify?
Yes, and on a separate front end in front of it where the shop needs more than a theme allows. We work on the path to purchase either way: product pages, cart, checkout and what happens after. Full builds and moves to a new platform are in scope, not just tuning what you already run.
Can automation handle returns decisions?
The part that follows a clear rule, yes, and that is most of them. Cases the policy settles are resolved automatically with the reasoning logged. Edge cases go to a person with the order history, photos and policy already gathered. Where a decision has a real cost or a sign of fraud, it goes to a person by design.
How do you handle attribution?
We check the sales the ad platforms report against your own store data and, where spend allows, run a test that shows what the ads really added. Platforms mark their own homework, so we do not make budget decisions on their numbers alone.
Do you do influencer and creator work?
Yes, and for online shops it often produces the ad creative as well as the reach. Creator content frequently beats studio work in the feed, so we plan the two budgets together, and each creator gets their own tracking.
Ready when you are