In short
Ecommerce growth is the increase in online revenue that comes from improving four multiplicative levers: qualified traffic, conversion rate, average order value and purchase frequency. Because the levers multiply, a 10% gain in each roughly compounds to a 46% gain in revenue, and a weakness in any one caps the return on the others.
Sustainable growth therefore treats the store as one system, from how a shopper discovers a product through to whether they buy again, rather than as a collection of marketing channels.
The four levers, and what usually limits each
Traffic is limited by visibility: organic rankings for buying queries, Shopping eligibility, AI answer presence and paid reach at an acceptable cost. Conversion rate is limited by the product, category, cart and checkout templates, and by whether the traffic arriving is qualified. Average order value is limited by merchandising, bundles, thresholds and pricing. Frequency is limited by the post-purchase experience, retention flows and whether the product is worth buying twice.
- Traffic: organic search, Google Shopping, AI answers, paid search and social, email
- Conversion rate: template quality, speed, trust, checkout friction, traffic fit
- Average order value: bundles, thresholds, recommendations, pricing architecture
- Frequency: post-purchase flows, replenishment, loyalty, product experience
Why growing one channel rarely grows the business
Doubling ad spend into a store that converts at 1% doubles the losses on every visit. Ranking a category page that loads in five seconds on mobile earns clicks that bounce. Recovering carts with email only works when checkout was the reason for abandonment, not shipping cost. Channels only deliver their full value when the parts of the store they feed into are working. That is why our engagements start with a diagnosis of the whole system rather than a proposal for one channel.
How we diagnose a store
The Growth Analysis measures each lever with your data: Search Console and rankings for visibility, GA4 funnels by template and device for conversion, order data for AOV and frequency, and a technical crawl plus tracking audit to check the numbers can be trusted. The output is a ranked list of opportunities, each with the revenue at stake and the work required, so the first ninety days go to the fixes with the highest return.
The operating model
We work in four phases. Diagnose finds and sizes the opportunities. Fix removes the leaks that cap everything else: broken tracking, slow templates, feed disapprovals, index bloat. Grow opens the channels, in the order the diagnosis supports. Compound is the ongoing cycle of testing, retention and expansion that turns one-time gains into a rising baseline. Most stores see the first measurable movement in the Fix phase, because the leaks were costing more than anyone realised.
What growth looks like in the numbers
We report revenue, contribution margin, marketing efficiency ratio, blended customer acquisition cost, conversion rate and revenue per session by template, average order value, and repeat purchase rate by cohort. Channel-level metrics such as ROAS still matter, but they are inputs, not the scoreboard. A store is growing when revenue per session and repeat rate rise together while blended CAC holds or falls.