E-commerce Growth Consulting

Growth is split into five questions: how many people arrive, how many buy, how much they spend, how often they return and what is left from each order. Traffic is broken down by channel, device and new versus returning visitors; the funnel by product view, add to cart, begin checkout and purchase. The step with the largest loss becomes the first priority.

Average order value and repeat purchase are the two ways to earn more from the same traffic, so bundles, free-shipping thresholds and post-purchase emails are reviewed here. Unit economics is described in words: if winning a customer costs more than the contribution that customer leaves over time, more spend grows the loss, not the business. Product cost, shipping, returns, commission and payment fees come from you.

Assortment is compared with search demand: volume and seasonality by category and product type, competitor visibility for those searches, and two separate lists, high-demand areas where your range is thin and stocked lines few people look for.

Pricing position is an input to the diagnosis, not a service: competitor price ranges are noted because price shapes ad efficiency and conversion, while pricing decisions stay with you.

Content that sells goes beyond product descriptions: category introductions, buying guides, size or usage guidance, and answers to the questions that block a purchase. The consulting decides which categories need it, which question each piece answers and in what order; production happens in the content SEO service or with your writers.

Category architecture, faceted URL rules, Product structured data and Merchant Center feed quality belong to the e-commerce SEO service. The diagnosis flags whether that layer is holding growth back and routes the detailed work there.

Merchandising and on-site search are the less visible half: which products top category pages, how sold-out items leave the sort order, which internal searches return nothing, and which products are searched often but found rarely. The findings feed assortment and content priorities; your developer or platform applies the sorting rules.

Conversion work starts at the funnel step that loses the most shoppers: price, delivery time, returns policy and stock visibility on the product page, surprise costs in the basket, forced account creation at checkout. Findings are ranked by impact and ease; testing goes to the CRO and UX service, and design and development stay with your designer or developer.

If measurement is wrong, every other decision is built on sand. We check that GA4 e-commerce events (view_item, add_to_cart, begin_checkout, purchase) fire with correct parameters, per the schema in Google Analytics Help. Consent Mode v2 is reviewed with your cookie banner under GDPR and KVKK, and the gap from declined consent is stated in every report.

Server-side tagging is an option, not a default, worth it when conversion data sent to ad platforms is weak and someone can maintain the setup.

Margin-aware reporting tracks contribution per order by channel instead of revenue, so campaigns that bring revenue but leave little margin become visible and budget follows contribution.