Growth after launch
Post-launch conversion optimisation for websites, apps and ecommerce
Improve conversion, reduce drop-off and grow what already works
Launch is when the real learning starts. We stay on to watch how customers actually behave, work out which improvements are worth making, and make them.
Live mockup
Launch, then keep climbing
Watch a drop-off in the funnel turn into a prioritised improvement, a measurable lift in conversion, and a weekly summary your team can act on.
Growth loop
Measure → prioritise → ship → learn
Funnel review
Experiment backlog
Waiting for funnel signal…
Iterative ship
bloom.example/checkout
Preview · sticky CTA experiment
Ship when ranked
Conversion
9.0%
Orders / week
312
Team report
Report unlocks after the lift…
Growth over time
Checkout → paid · weekly
Flat conversion — waiting on the P0 ship…
Now 9.0%
Autoplay — funnel leak → ranked experiments → ship → growth curve → report
Funnel review first
We find where customers are actually dropping out — not where traffic looks healthy. That tells us what to fix before you spend anything more on getting people to the site.
Prioritised experiments
Development effort goes where the commercial case is strongest, and you see the reasoning. No arguing about whose idea ships first.
Ship, then measure again
Small, focused releases into the live product rather than waiting for another big redesign — with conversion watched closely enough to know whether each one earned its place.
Reports you can act on
What moved, what didn’t, and what’s next — in numbers you can check yourself. Momentum after launch instead of a product that quietly stalls.
What we move
Three numbers, and what actually shifts them
Growth work goes wrong when nobody agreed what was being improved. These are the three numbers we work on, because they are the ones a build can genuinely change — and the ones you can check yourself without taking our word for it.
Conversion rate
The share of visitors who do the thing the site exists for. Moving it is rarely about redesigning the page — it is usually about removing a step, clarifying one sentence, or fixing something that silently fails on a particular phone. Small, specific changes, tested against real traffic rather than argued about internally.
Cart and form abandonment
The people who wanted to buy or enquire and stopped partway. This is the most diagnosable number on the list, because analytics shows you the exact step where they left. Usually it is an unexpected cost, a required field nobody needs, or a payment method that isn’t there.
Average order value
What each order is worth. Bundles, thresholds, and relevant recommendations at the right moment — placed where they help the customer decide rather than interrupting a checkout that was already going well.
How the work runs
It starts with the data you already have. Before anything is changed, we look at where people drop out, what devices they are on, and which pages carry the traffic that matters — because the biggest opportunity is rarely on the page people assume.
From there it is a short cycle: make a change, measure it against what came before, keep what worked and undo what didn’t. Some changes do nothing at all. Knowing which ones did nothing is the point, and it is why the tracking has to be in place before the work starts rather than added once someone asks for a report.
We would rather show you a change that moved a number by two per cent than a dashboard that says everything is up. If the work is not paying for itself, that should be visible to you in the same numbers we are looking at.
Common questions
Questions about growth after launch
It is the work of increasing the share of visitors who complete the action a site exists for — buying, booking, or enquiring — without increasing traffic. It usually means finding where people abandon the process and removing whatever stopped them, rather than redesigning pages. The advantage over buying more traffic is that an improvement applies to every visitor from then on, including the ones you are already paying for.
Individual changes can be measured within two to four weeks on a site with reasonable traffic, because you need enough visitors for the difference to be real rather than noise. Low-traffic sites take longer and sometimes cannot measure small changes at all, in which case the work is better spent on the obvious friction than on fine-tuning.
Either the traffic is arriving with the wrong intent, or something in the path to purchase is stopping people who did want to buy. Analytics distinguishes the two quickly — if visitors are reaching the cart or the form and leaving, it is a friction problem; if they are leaving from the first page, it is a traffic or messaging problem. Spending more on traffic before knowing which one it is tends to magnify the problem rather than solve it.
Rarely. Most meaningful gains come from small, specific changes — removing a step, clarifying a sentence, adding an expected payment method, fixing something that fails silently on certain devices. A full redesign changes many things at once, which makes it almost impossible to tell what helped and what hurt.
By comparing performance against what came before, on the same metric, with tracking that was in place before the change was made. Some changes do nothing, and knowing which ones did nothing is the point — it is why analytics has to be configured properly at the start rather than added once someone asks for a report.
Both are possible, and which suits you depends on how much traffic the site carries and how much room there is to improve. A single focused engagement makes sense when there is obvious friction to remove. Ongoing work makes sense when the site carries enough traffic that small improvements compound into meaningful revenue. It is worth deciding which you want before starting, because they are different commitments.
What's included
- Analytics and funnel review
- Prioritised list of improvements
- Iterative product improvements
- Reporting your team can act on
Ongoing momentum after launch, rather than a product that quietly stalls.