For D2C ecommerce brands
Your ad spend is fine, your site is leaking.
We run research-led CRO for Shopify brands doing $5M to $20M, turning the traffic you’re already paying for into revenue with tests that hold up in the P&L. Every engagement runs the same promise. Revenue uplift, or you don’t pay.
Sound familiar?
The three problems every D2C team hits between $5M and $20M.
Paid CAC is up, margin is down
Meta and Google keep asking for more to deliver the same result. The only lever that compounds in the other direction is site conversion, and most Shopify stores leave real revenue on the table in the surfaces nobody is actively testing.
Every site change is a guess
Your team ships redesigns, copy tweaks, and new sections based on taste and opinion, and nobody knows which ones helped, hurt, or drifted. Revenue per visitor tells the truth. Most teams aren’t measuring it.
The backlog is full, the calendar is empty
You have thirty ideas from three agencies and nothing has been tested. Nobody has the hours to prioritise them, instrument the tracking, and ship experiments with the rigour they need.
Where the wins usually hide
Five surfaces, ranked by what moves the most for the least work.
- 1
PDP above the fold
The PDP is the highest-leverage surface on most sites. Three things tend to move the number: a headline that names the outcome, the top two objections handled in line, and genuine in-use imagery.
- 2
Checkout and post-purchase
Shopify checkout has more room to move than most teams realise. Post-purchase upsells, shipping-threshold nudges, and extra trust density at payment usually unlock AOV worth caring about.
- 3
Collection pages for paid traffic
If you run paid traffic to a collection, it’s a landing page. Treat it like one: restate the promise, prime the category, and put proof above the product grid.
- 4
Homepage hero for returning traffic
Problem-led heroes beat brand-voice heroes when the visitor is already comparing options, which describes most of your repeat traffic.
- 5
Cart drawer cross-sells
Bundle apps get installed once and forgotten. Recommendation logic tuned to the actual basket lifts AOV, but only when you test which logic actually fires.
Proof, not theory
What a typical engagement looks like.
Weeks one and two are deep discovery research, where we survey your recent buyers, mine session recordings, and audit the top five funnels. The following ten weeks cover eight to twelve experiments, scored by ICE-L, shipped through a proper testing platform, and reported against revenue per visitor.
35%
typical win rate on properly researched tests
2 cycles
minimum test duration, with no peeking or early stops
RPV
primary metric, locked before launch
You see a revenue uplift, or you don't pay.
That is the deal on every 90-day sprint we run. If the program does not produce a measurable revenue uplift by the end of the quarter, we refund the final 50% of the sprint fee. No asterisks, no vanity metrics, and no hiding behind “we ran some experiments.”
Ready when you are
Let's move your numbers.
Let's grab fifteen minutes to look at your funnel together, and we'll tell you straight whether we are a fit, with no slide deck or sales script in the way.
Prefer email? jono@impactconversion.com