How to increase eShop orders: a practical conversion guide

Find where orders are being lost first

A sitewide conversion rate does not explain the problem. Build a trustworthy funnel segmented by device, acquisition source, category and customer type. GA4’s recommended eCommerce events include view_item, add_to_cart, begin_checkout, purchase and refund, as described in the official Google Analytics documentation.

Measure profitable orders, not conversion rate alone

Order volume can grow while the business becomes less healthy when growth depends on low margins, expensive acquisition, returns or operational failure. Track revenue together with gross margin, cost of goods, payment and courier fees, campaign cost, cancellations and returns.

Contribution margin per order = net sales − product cost − merchant-funded shipping − payment fees − variable service cost − returns.

Allowable acquisition cost has to fit within this real economic boundary.

There is no universal “good eCommerce conversion rate”. Category, price, repeatability, device and visitor intent materially change the result. Establish your own clean baseline and compare equivalent periods.

Improve product discovery before changing checkout

If shoppers cannot reach the right product, checkout is not yet the primary constraint. Categories should reflect how customers buy, not only how the warehouse is organised. Search should tolerate natural language, mistakes and product codes, while filters depend on complete, consistent data.

• Create focused landing pages for meaningful needs and categories, not thin keyword-only pages.
• Review zero-result searches and filters that hide available products.
• Connect relevant alternatives, compatible accessories and useful bundles — not random carousels.
• Keep titles, price, availability, variants and identifiers consistent across the store, feed and ERP.

A product page must resolve the purchase decision

A customer needs to understand what the product is, who it is for, what is included, when it will arrive, the total cost and what happens if it is unsuitable. Images, variants, availability and the primary CTA must remain equally clear on mobile.

Google Search Central explains how Product/ProductGroup, Organization, review and breadcrumb structured data can help search systems understand eCommerce content more accurately. Schema does not compensate for incomplete or incorrect product data.

Reduce friction in the cart and checkout

Not every abandonment is fixable: many visitors are comparing options or are not ready to buy. Baymard Institute’s checkout UX research separates those cases from addressable barriers such as late extra costs, forced account creation, complex forms, unclear delivery and distractions within the flow.

1. Show total cost and the shipping calculation as early as practical.
2. Offer a prominent guest-checkout path when the commercial model allows it.
3. Ask only for fields required for payment, invoicing and delivery.
4. Provide clear error feedback and retain data that is already valid.
5. Keep payment, returns, support and delivery expectations visible before final confirmation.

Test the real order, not just the storefront

A polished store can still lose sales through shipping rules, an expired payment API, tax errors, stock mismatches or browser-specific failures. Build repeatable test orders for priority countries, devices, payment methods, coupons, variants and shipping options.

For Shopping and free listings, Google Merchant Center’s editorial and technical requirements call for a functioning website, clear business and return information, accurate product content and the ability to complete a purchase. Those are also trust requirements for real customers.

Acquire more of the right audience after the funnel is stable

SEO, product feeds, marketplaces, Google Ads, social campaigns, affiliates and creators can grow demand. They are not interchangeable and cannot repair a weak offer. Evaluate each channel by incrementality, margin, cancellations, returns and new-customer quality — not last-click ROAS alone.

• SEO & GEO: useful categories, complete products, comparison/help content and clear internal linking.
• Feeds & marketplaces: accurate data, selected products and margins that can carry channel cost.
• Paid acquisition: trustworthy tracking, an allowable CAC and a landing page aligned with intent.
• Content & creators: evidence of use and real customer questions, not reach alone.

For channel strategy, read our Skroutz or independent eShop decision guide.

Repeat orders are built after checkout

Confirmation, delivery updates, packaging, service and an understandable return path influence whether a customer buys again. Use email or SMS automation only with appropriate consent and frequency, aligned to the actual purchase cycle — replenishment, compatible products, post-purchase care and review requests when relevant.

Do not train every abandoning shopper to wait for a coupon. Fix the underlying cause first, then use recovery communication for people who genuinely need a reminder or assistance.

A practical 30-day improvement plan

Record the hypothesis, change, primary metric, guardrails and time window before each test. With low traffic, combine quantitative signals with recordings, support questions and manual testing rather than drawing fast conclusions from unstable percentages.

How Firstidea can help

We audit the technical and commercial journey of an existing eShop: analytics/events, product discovery, performance, product pages, checkout, feeds, SEO/GEO and experiment planning. The recommendation may be a focused fix, a staged roadmap or a rebuild only when the evidence supports it.

Explore our eShop development and improvement, SEO, Performance & Digital Growth services or request an assessment of your funnel.

Frequently asked questions

Why do I have traffic but few orders?

The cause may be poor audience fit, weak value, difficult product discovery, incomplete product pages, checkout friction or a technical failure. Segmenting the funnel by channel, device and category shows where diagnosis should begin.

What is a good eCommerce conversion rate?

There is no single reliable number for every business. Compare your own clean baseline by category, device, channel and customer type, together with margin, cancellations and returns.

Should I start with Google Ads?

Only after tracking, unit economics, product data and the basic purchase flow are verified. Otherwise a campaign can simply buy more visits for a funnel that already loses customers.

How can cart abandonment be reduced?

First separate comparison browsing from barriers you can fix. Common priorities include early total cost, clear delivery expectations, guest checkout, lower perceived complexity and reliable payments.

Do I need a redesign or complete rebuild?

Not necessarily. An audit may show that a few focused fixes deserve priority. Rebuild is justified when the platform, data or architecture systematically blocks operation and improvement.

How quickly can results appear?

It depends on traffic, the constraint and the scale of the change. Technical failures can show an immediate effect, while SEO, retention and statistically reliable experiments need longer. Define a baseline and acceptance metric before changing the system.