For Shopify teams running tests without a ranked list of what to test
VASTA finds the constraint holding your conversion rate down, fixes it in bounded work, and shows what moved. You get a ranked leak map instead of a longer backlog, and evidence instead of another opinion.
Not how many won. Whether the thing you tested was the thing costing you the most. Those are different questions, and most testing programs never separate them.
Every stakeholder has a fix. Nobody can rank them, so priority defaults to whoever asked most recently.
A test wins, the number moves, and six weeks later nobody can say whether it held or what it taught you.
The easiest thing to build gets tested first, which is rarely the thing costing the most.
Acquisition takes the blame while post-click friction stays unexamined.
Why best-practice lists fail
Fewer than one in three of our own experiments produces a win. That is not a confession, it is the arithmetic of testing, and it is why what you choose to test matters more than how many tests you run.
Best-practice lists are real. Add urgency, simplify checkout, show reviews. The problem is that they are true everywhere and therefore tell you nothing about your store.
Run them in the wrong order and you spend a quarter proving that a change nobody needed did not matter. The decision that determines the return is made before the test starts, when someone chooses what to test. That decision is what we sell.
How VASTA inspects
We review the revenue path end to end and rank what we find by how much it appears to be costing you, not by how easy it is to build.
Every one of these is assessed on mobile first, because that is where most of your traffic decides.
Analytics integrity comes before test design, not after. A testing program built on broken tracking produces confident, wrong answers, and the confidence is the dangerous part.
Behavioural. Session recordings and heatmaps for the path, not the highlight reel.
Quantitative. Funnel step conversion, device splits, landing-page continuity from ad through to cart.
Technical. Speed, mobile rendering, checkout mechanics, app conflicts.
Commercial. Offer structure, pricing presentation, what the buyer is actually being asked to decide.
Measurement. Whether the tracking can support the conclusion anyone wants to draw from it.
Prior tests. What you already ran, what it showed, and what it ruled out. Most teams have this and never reuse it.
Map the revenue path and rank the leaks by evidence and commercial weight, so the next fix is chosen by what it costs, not by who asked.
If the evidence supports action, we prescribe the smallest set of meaningful changes. Usually two to four inside a bounded 21-day Profit Sprint.
Every engagement closes with a proof pack: what changed, what moved, how it was measured, and what remains uncertain.
The evidence
Every result below names the change we made, the sample it was measured across, and the window it was measured over. Where we do not have a published result yet, we say that instead of filling the gap.
| Measure | Value |
|---|---|
| Conversion rate | +20% |
| Revenue per visitor | +3% |
| Window | 8 days |
| Sessions | 865,909 |
| Confidence | 90% |
Largest session sample in our test history. Conversion rate was the primary metric. Revenue per visitor rose 3%, which did not clear the decision threshold on its own.
| Measure | Value |
|---|---|
| Projected monthly contribution | $175K |
| Window | 5 days |
| Sessions | 73,873 |
| Confidence | 90% |
Projected from a 5-day window. Short-window directional projection, not yet validated across a complete trading cycle.
| Measure | Value |
|---|---|
| Projected monthly contribution | $71K |
| Window | 30 days |
| Sessions | 71,833 |
| Confidence | 90% |
Our longest test window. When the window matters more than the number, this is the one to read.
Projected monthly contribution is extrapolated from the test window. It is not revenue banked, and we will not present it as though it were.
Results are specific to the cited experiments. Not every test wins, and projected contribution depends on the measurement window and store economics.
Six of the nine leaks VASTA inspects do not yet have a published result behind them. Those are described as process, not proof, until a proof pack exists. How we measure
"I want to send a HUGE thank you to everyone here! Your support was incredible and truly had an impact on our bottom line. We hit our best BFCM yet and we could not have done it without the help of your team."
What happens after the diagnosis
A recorded walkthrough of your buying path in 3 business days, no call required. The right start when you want the read before the relationship.
Bounded activation when the diagnosis shows enough leverage. Two to four surgical wins, a baseline, and a proof pack.
Ongoing execution, prescribed only when the Sprint proof supports continuing. Not the automatic next step.
When the fixes sit inside your team's competence, we say so. The diagnosis is written to be acted on without us.
The VASTA agreement
Also a fit. On another platform and considering a move to Shopify, or running CRO with your own implementation team? You can still qualify.
Share your store and what you are seeing. If there is enough signal and leverage, we will prescribe the diagnostic path. If there is not, you should know that before buying anything.