Real Shopify merchants running Oxify, with the figures taken straight from the app's own analytics — and the screenshot they came from published alongside them.
Each one names the vertical, the market and the placements it runs, so you can judge whether the result transfers to your catalogue.
United KingdomA UK textured-hair brand added £15,451 of app-attributed revenue across the cart drawer, the product page and the post-purchase offer — without touching ad spend.
IndiaIndia's best-known bookstore chain took a 20% lift in additional revenue from a cart drawer built to its own spec — one where every basket is a few rupees short of the next reward.
If you are running Oxify and the analytics tab is looking healthy, we would like to write it up — with your sign-off on every figure before it goes live.
Tell us your storyWorth stating plainly, because most SaaS case studies quote a percentage with no denominator.
Every case study publishes the merchant’s own Oxify analytics dashboard, and any figure that came from the merchant rather than from that screenshot is labelled on the tile that carries it.
“+38% AOV” means nothing without knowing what it was before. These pages lead with the currency amount and break it down per placement.
No figure here is a monthly number multiplied by twelve. What is shown is what the account has earned since install, with the window stated.
Where a placement is switched off or has earned nothing, it is still listed at zero. Removing it would make the working placements look like the whole picture.
Cart drawer, product-page upsell and post-purchase offers — every feature on every plan, from $9.99/mo, with a 14-day free trial. Install it and the analytics tab starts filling the same day.
No credit card for the trial · Free migration from any cart drawer app · See the full pricing ladder
Revenue figures are read off the store's own Analytics dashboard inside the Oxify app, and the screenshot they were read from is published on the case study page. Where a brand reports a percentage lift against its own pre-Oxify baseline — a number that lives in their analytics rather than ours — the tile says so in as many words. Nothing is modelled, extrapolated or annualised.
The figures are Oxify-attributed revenue: the value of items added through a cart drawer recommendation, a product-page upsell block or a post-purchase offer. That is the honest framing. A shopper who would have found the second product unaided still counts in it, so treat the number as the ceiling of the app's contribution rather than pure incremental lift.
No. Case studies are published with the merchant's permission and nothing else changes hands — no fee, no discount on their plan, no free months.
More brands are being added, and each card lists the vertical, the market and which placements that store runs so you can judge the fit. If your category is not represented yet, book a call and we will walk through what the same placements would look like on your catalogue.
The cart drawer is live the day it is installed — there is no learning period, no data to accumulate and no model to train, because the recommendations are rule-based. Most stores see attributed revenue in the first week; the figures here are all-time totals since install.
