Profit, not just revenue
Margin-aware decisions stop you scaling unprofitable orders.
Online stores rarely fail because one channel underperforms. They fail because the product feed, the ads, the category pages, the email flows and the checkout are each owned by someone different — and nobody is looking at contribution margin across all of it.
Usually because everything is being optimised except the things with real leverage.
Doubling traffic to a store converting at half the sector norm doubles the cost of the problem. Conversion rate multiplies every channel at once and is almost always cheaper to fix.
A 4.0 return on ad spend sounds healthy until you account for a 20% product margin, shipping and returns — at which point the campaign is losing money on every order.
Shopping and catalogue campaigns are only as good as the data behind them. Missing attributes, poor titles and stale stock quietly cap performance no bid change can fix.
All budget spent acquiring first-time buyers and nothing spent on the second purchase, which is by far the cheapest revenue any store has access to.
We work the levers in order of leverage rather than in order of familiarity. Conversion rate comes first because it multiplies every channel simultaneously. Average order value and repeat purchase come next, because both add margin without adding acquisition cost.
Only then do we scale traffic — and we scale it against contribution margin rather than return on ad spend, so growth in revenue is actually growth in profit. That requires the product feed, the ads, the category pages and the email flows all to be managed as one system.
Search: ecommerce packing fulfilment small businessMargin-aware decisions stop you scaling unprofitable orders.
Organic and email reduce the share carried by paid.
Merchandising and bundling add margin at no acquisition cost.
Lifecycle flows monetise customers you already paid to acquire.
Better product data lifts Shopping, Meta and organic together.
No gap between whoever owns the store and whoever owns the ads.
Conversion rate, average order value, repeat rate, margin and current acquisition cost.
Which single lever is holding growth back, and what it is worth fixing.
Conversion, merchandising and lifecycle before scaling traffic.
Product data cleaned, then Shopping, Performance Max and catalogue campaigns.
Category and content SEO reducing long-term reliance on paid.
Budget increased only where contribution margin supports it.
The right answer depends on your current numbers, not on which channel is fashionable.
| If this is true | Work on this first | Why |
|---|---|---|
| Conversion rate below sector norm | CRO & checkout | Multiplies every channel at once |
| Good conversion, low traffic | SEO + Google Shopping | Add volume to a store that converts |
| High acquisition cost | Email & repeat purchase | Cheapest revenue you already own |
| Strong ROAS, weak profit | Margin-aware bidding | ROAS ignores cost of goods |
| Shopping campaigns flat | Product feed optimization | Bids cannot fix bad data |
| Traffic but no returning buyers | Lifecycle flows | Second purchase costs far less |
| Category pages not ranking | E-commerce SEO | Highest commercial intent you own |
Every engagement is scoped individually. These ranges give you a realistic idea of investment before you speak to us.
Prices are in USD and indicative starting points for scoping — final quotes depend on scope, competition and current site condition. [Confirm or edit these figures before launch.]
Project slots are ready for real client work — screenshots, brand names and outcomes drop straight into these cards.
Replace with channels, spend and contribution margin.
Replace with feed issues fixed and campaign result.
Replace with repeat purchase rate change.
Metrics below are editable placeholders. They will be replaced with verified client results — nothing here is invented.
Conversion, almost always. It multiplies every channel simultaneously and is usually cheaper to improve than buying more traffic. Doubling traffic to a store that converts poorly just doubles the cost of the problem.
Only alongside margin. A 4.0 return on ad spend on a product with a 20% margin loses money once shipping and returns are counted. We report contribution margin so scaling revenue actually means scaling profit.
For Shopping and catalogue campaigns it is the single biggest lever, and the most neglected. Titles, attributes, categories and availability determine which searches you appear for — no bid adjustment compensates for bad product data.
Both work well. Shopify has cleaner app integrations for lifecycle marketing; WooCommerce gives more control over content and product data. The platform is rarely the reason a store's marketing underperforms.
Proportionally more than most stores do. Lifecycle flows are built once and then earn continuously, and second purchases cost a fraction of first ones. It is usually the most underfunded channel in an e-commerce budget.
Yes — Shopify and WooCommerce development are in-house, which means marketing recommendations that need store changes actually get implemented rather than added to a backlog.
Send us your conversion rate, average order value and current acquisition cost. We will tell you which one to fix first and what it is worth.
No obligation. If we are not the right fit for your goals, we will say so.