Finding where the money leaks out of the funnel
eCommerce conversion optimisation improves the proportion of visitors who buy, working from your store's actual data. It starts with measurement, where people drop out, on which device, at which step, and acts on that evidence rather than on opinions about the design.
Stores have something most sites do not: enough transactions to know things rather than guess them. Every abandonment is recorded, every step has a completion rate, and the difference between mobile and desktop is visible rather than assumed. That changes the discipline from applying principles to reading evidence.
Most stores are not using that advantage. Enhanced ecommerce tracking was never configured, so the funnel cannot be seen step by step and nobody can say where buyers leave. Redesigns get commissioned on the homepage while the leak is in a shipping-cost surprise at step three of checkout. And where testing does happen, it runs on traffic too low to resolve, so teams act confidently on noise.
When this work makes sense
Questions worth asking any supplier
Is the funnel measured step by step? Without it, optimisation is guesswork with a nicer name.
Do you have the volume to test? Below a few hundred conversions a month, testing cannot resolve.
Is mobile measured separately? A blended rate hides the device where most of the loss happens.
Are shipping costs visible early? Surprise at checkout is the most-cited abandonment reason.
Is guest checkout available? Forced registration removes a meaningful share of first-time buyers.
Deliverables
Enhanced ecommerce tracking configured and verified end to end
Funnel analysis by step and by device, so the leak is located rather than assumed
Session recordings and heatmaps at the steps with the largest drop-off
A prioritised list of friction points, ordered by expected value
Checkout improvements, guest checkout, fewer fields, early shipping cost, trust signals
Product page work on the information that stops purchases
A/B testing where volume genuinely supports it
Reporting on conversion rate, average order value and revenue per visitor
Built with
Process
Nothing is changed until the funnel is measured step by step, by device. Most stores arrive believing they know where they lose people, and the data disagrees more often than not. The leak is in shipping cost or a checkout field rather than in the page that looks oldest. Changing the store before measuring means the first improvement is unmeasurable and the second is a guess about the first.
The standard nine stages, discovery, strategy, UX/UI, development, content and SEO, testing, launch, measurement and continuous improvement, apply to every project. The paragraph above is what differs for this one.
What moves the number
Pricing depends on scope, functionality, integrations and content requirements. These are the factors that change it most:
Fix known friction, run tests, or redesign
Fix known friction
Fits: Every store, the well-established problems like forced registration and late shipping costs
Limits: Bounded; once the known issues are gone you need evidence for the rest
A/B testing
Fits: Stores with enough conversions to reach significance
Limits: Needs volume; below it you are testing noise and acting on it confidently
Redesign
Fits: Stores where the experience is fundamentally poor rather than leaky at a step
Limits: High risk without data, as likely to reduce conversion as improve it
Case studies
No published CRO case study. A conversion uplift figure without the baseline, traffic mix and test duration is not evidence, and we will not present one as such.
MBGDesk operates from 4 offices in India, United States, United Kingdom, United Arab Emirates. We hold no industry certifications and do not imply otherwise.
Frequently asked questions
How is this different from conversion-focused design?
Design work applies established principles before launch. This works from your store's own data after launch, which step loses people, on which device, for which traffic source. If you have the transaction volume, this is the more reliable of the two because it is evidence rather than principle.
What is a good ecommerce conversion rate?
The comparison is almost meaningless across businesses, because traffic source, product category and price point move it enormously. Compare against your own rate over time. A benchmark from a published industry report tells you nothing actionable about your store.
How much traffic do we need to A/B test?
Enough conversions, not enough visitors, typically a few hundred conversions per variant to detect a realistic difference. Below that, tests either run for months or produce results that are noise. Fixing known friction is the better use of a low-volume store's effort.
Why is our mobile conversion so much lower?
Usually a combination of form friction, slower loading and payment options. It is normal for mobile to convert below desktop; a very large gap usually indicates something specific and findable, which is why measuring by device separately matters.
Should we offer guest checkout?
Almost always. Forced registration before purchase removes a meaningful share of first-time buyers, and you can invite account creation after the order is placed, when the customer has a reason to say yes.
Does cart abandonment email work?
Generally yes, and it recovers rather than prevents. It is worth having, and it is not a substitute for finding why people abandoned, a store emailing a large volume of abandoners has a funnel problem the email is papering over.
What single change usually helps most?
Showing shipping costs before checkout. Unexpected cost at the final step is consistently among the most-cited abandonment reasons, and surfacing it earlier loses a few browsers while keeping buyers who would otherwise have left at the last moment.
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Tell us what you are trying to build and we will come back with scope, approach and an estimate.