Why acquisition gets harder as an online store grows
Most stores reach a point where the channels that built the business stop scaling. Branded search is saturated, Meta prospecting costs rise every quarter, and Performance Max reports a healthy blended ROAS while quietly spending most of the budget on people who would have bought anyway. An e-commerce marketing agency earns its fee by separating incremental growth from cannibalised demand and by finding the next profitable pocket of customers.
The structural problems are usually the same. Product catalogues generate thousands of near-duplicate URLs through faceted navigation, so crawl budget is spent on filter combinations instead of category pages that could rank. Product feeds carry weak titles and missing attributes, so Shopping ads match to the wrong queries. Bidding is optimised to revenue, so low-margin, high-return products absorb spend that would have been better used elsewhere. And the calendar dominates everything: a store that does 30–40% of its annual revenue between October and December cannot afford to test in November.
Retention adds another layer. If repeat purchase rate is low, every new customer has to pay back their acquisition cost on the first order, which caps how aggressively you can bid. If it is high, you can afford a higher first-order CAC, but only if your reporting actually connects paid spend to lifetime value.
Where the growth opportunity usually sits
When we audit an online store, the largest gaps are rarely in the channels the team watches daily. They are in the middle of the catalogue and the middle of the funnel.
- Category and sub-category SEO. Mid-tail queries such as “women’s waterproof hiking boots” or “commercial espresso machines under £2,000” are where most non-branded organic revenue comes from. Stores often have the products but not the landing pages, or have the pages but they are blocked, thin or cannibalised by filter URLs.
- Feed quality. Rewriting titles to lead with brand, product type and key attribute, filling in GTIN, colour, size and material, and adding custom labels for margin tiers changes what Shopping and Performance Max can do before a single bid is adjusted.
- Margin-based bidding. Passing profit rather than revenue as the conversion value, or using custom labels to split campaigns by margin band, lets Smart Bidding optimise to what actually matters.
- Affiliate and partner traffic. Coupon, cashback, review and content publishers can add a meaningful incremental channel when commissions are structured by customer type and last-click coupon leakage is controlled.
- Checkout and PDP conversion. A modest lift in add-to-cart or checkout completion rate compounds across every channel, which is why we treat CRO as an acquisition lever rather than a separate project.
Recommended services for online retailers
Not every store needs every channel. The mix depends on catalogue size, average order value, margin structure and how much demand already exists for your product category. These are the services we most often combine for e-commerce clients.
E-commerce Marketing
Integrated planning across paid, organic, affiliate and email, with a shared forecast and a single view of contribution margin by channel.
Google Ads & Shopping
Standard Shopping, Performance Max, brand and non-brand search, structured by margin and product priority with feed optimisation included.
E-commerce SEO
Category architecture, faceted navigation control, product page templates, internal linking and content that captures mid-tail purchase intent.
Paid Social
Meta, TikTok and Pinterest prospecting and retargeting with catalogue ads, creative testing and incrementality checks against blended metrics.
Affiliate Marketing
Programme setup or takeover on Awin, Impact, CJ or Rakuten, publisher recruitment, commission tiers by customer type and coupon-leak control.
Conversion Rate Optimisation
PDP, cart and checkout testing, merchandising logic, site search and mobile UX, prioritised by revenue impact and traffic volume.
How Axoria approaches e-commerce growth
Start with unit economics, then build the channel plan
Before we touch a campaign, we map contribution margin by product line, repeat purchase rate and the realistic payback window. That produces a target CAC per customer type rather than a single blended ROAS, and it tells us which categories can support aggressive prospecting and which need to be defended cheaply. Read more on how we structure this in our performance marketing guide.
Fix the catalogue’s technical foundation
For a Shopify store with 3,000 SKUs, faceted navigation typically produces tens of thousands of crawlable URLs. We decide, filter by filter, which combinations deserve an indexable page (usually those with search demand and enough products), which should be canonicalised to the parent category, and which should be blocked or given a noindex tag. Our technical SEO team also handles pagination, out-of-stock handling, variant canonicals and Core Web Vitals on product templates, because LCP on a PDP directly affects both rankings and conversion rate.
Treat the product feed as a campaign asset
We rebuild feeds in Merchant Center with supplemental feeds or a feed management tool so that titles, descriptions, product types and custom labels reflect how customers search and how you make money. Custom labels usually carry margin band, seasonality flag, stock depth and new-in status. Campaigns are then split so that high-margin evergreen lines, clearance and seasonal ranges each get a target ROAS that makes sense for them.
Plan the year around your peaks
Seasonal stores need testing done in the quiet months and budgets released ahead of demand, not during it. We build a trading calendar with the client covering peak periods, promotional windows, creative production deadlines and Smart Bidding learning periods, and we stop making structural changes to campaigns in the weeks before the biggest trading days.
What we will not do
We will not report Performance Max results without a view of what is branded, we will not run coupon affiliates on unrestricted last-click commissions, and we will not scale spend against a ROAS target that ignores margin and returns. Growth that does not survive a look at the P&L is not growth.
How we measure e-commerce performance
Platform-reported ROAS is a starting point, not the answer. Our reporting for online stores usually combines the following:
Server-side tagging and a properly configured purchase event with product-level data are prerequisites for most of this, so analytics and tracking work is normally the first thing we fix.
Common e-commerce marketing mistakes
- Optimising to revenue ROAS. A 600% ROAS on a product with 15% gross margin loses money once returns and fulfilment are counted. Bid to margin or use margin-tiered campaigns.
- Letting Performance Max absorb brand. Without brand exclusions and a separate brand campaign, PMax reports strong results that are mostly existing demand.
- Ignoring the middle of the catalogue. Stores obsess over the homepage and top products while the category pages that could rank for mid-tail terms are thin, blocked or duplicated.
- Uncontrolled coupon affiliates. Paying full commission to coupon sites that intercept checkout traffic inflates affiliate revenue and drains margin. Commission rules and code attribution fix this.
- Changing campaigns during peak. Restructuring or resetting bid strategies in the run-up to Black Friday puts campaigns into learning at exactly the wrong time.
- No retention plan. Acquisition targets set without knowing repeat rate either under-invest in profitable customers or over-invest in one-time buyers.