More orders.
Same traffic.
A monthly programme of funnel analysis, A/B tests and landing pages on the store you already have. Every change is measured before it stays.
Measured. Tested. Kept.
A month of work, itemised.
A subscription. Pricing at launch.
Growth optimisation is being built as a software subscription. Its pricing is published when it launches, and not before.
Two weeks of audit. Then sprints.
Traffic decides how long a single test runs. The rhythm around it is fixed.
Baseline audit
KPIs set, current performance benchmarked, and the funnel's drop-off points found.
Hypotheses
A ranked backlog of tests, each with a written hypothesis drawn from the data.
Experiments
A/B tests run in weekly sprints, each to its planned sample size.
Rollout and report
Winners built into the store. A report of what ran, what shipped and what is next.
Strategy review
The plan adjusted to what the quarter's data showed.
Every change. Tested first.
The current store keeps selling while a variant is measured against it.
Significance before shipping
A variation replaces the original only after the test reaches statistical significance.
The original keeps running
In an A/B test, part of the traffic still sees the current page. A losing variant is switched off and nothing else changes.
One click back
On Shopify, winners are built into a copy of the theme. The previous theme stays in your library.
Data in your accounts
GA4, VWO and the recording tool are set up under your business, so the history stays with you.
Terms published with the price
Commitment and cancellation terms are published with the subscription price.
Scope in writing
Tests, landing pages and reports are listed before work starts. A change is priced before it is made.
Plenty of visits. Flat orders.
If the second list sounds like you, those pages come first.
Optimisation fits
- 01A conversion rate that stopped moving
Traffic is steady, and the share that buys has not changed in months.
- 02Paid traffic landing on the homepage
Campaigns that need their own landing pages, tested against each other.
- 03A store a few months past launch
Real visitors, real data, and a product page nobody has tested yet.
- 04A redesign under discussion
The biggest doubts tested on the current store before anything is rebuilt.
Look at these first
- 01The store is not live yet
There is nothing to measure. See Shopify Theme Development.
- 02The theme itself is the problem
A slow or broken theme is rebuilt, not tested. See Complete Redesigns.
- 03Traffic is still small
A test needs visitors to reach significance. The baseline audit says whether the store has enough.
On the record. Every test.
Each one can be checked in the test log and the monthly report.
A hypothesis in writing
What is changing, for whom, and which number it should move, recorded before the test starts.
Sample size set ahead
The visitors and the duration a test needs are calculated first. A test is not stopped early on a good day.
One primary metric
Each test names the single number that decides it. Other metrics are watched, not used to declare a win.
Tracking checked first
GA4 purchase events are matched to real orders before the baseline is taken.
Losses logged too
Every test is in the log with its result, including the ones that changed nothing.
A report every month
Metrics against the baseline, tests run, changes shipped and next actions.
What founders ask before the first test.
More in Growth.
First the numbers.
Then the tests.
A 30-minute call about the store and its funnel. A written scope after it.