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Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Ecommerce optimization services use store data, customer research, usability reviews, experiments, and implementation to make shopping easier. By finding and reducing avoidable friction in product discovery and checkout, they can help more shoppers complete orders—but no service can guarantee a particular conversion-rate increase or sales result.
What ecommerce optimization services do
Ecommerce conversion rate optimization (CRO) is a systematic effort to make a desired action—such as placing an order—easier. Because that action depends on how people experience a store, CRO is closely connected to user experience (UX). A service typically investigates where shoppers struggle, proposes changes, and measures whether those changes improve a defined outcome.
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One provider, scandiweb, describes a program that can include an initial consultation and store-specific plan, competitor and UX benchmarking, quantitative and qualitative analysis, moderated user testing, experiment design, and engineering implementation. That is an example of one provider’s scope, not a universal service definition. Its overview is at scandiweb’s CRO service page.
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How optimization can lead to more completed orders
Optimization helps when it identifies a problem that is preventing interested shoppers from progressing and the change successfully removes it. The path from diagnosis to sales is not automatic: a change may have no effect, affect only one segment, or improve one metric while harming another.
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Find friction in discovery and checkout
Store analytics can show where shoppers leave, while customer research and usability sessions can help explain why. Potential checkout issues include confusing or lengthy forms, trust concerns, payment friction, and unexpected costs. These are hypotheses to investigate in a particular store, not a checklist that every business should implement in the same order. Shopify also discusses checkout design and payment experience in its ecommerce conversion rate optimization overview.
Cart abandonment should not be treated as proof of a broken checkout. Baymard reports that 42% of US online shoppers had abandoned a cart in the prior three months because they were browsing or not ready to buy. That behavior is not necessarily fixable through UX changes. In the same article, 17% of US online shoppers reported abandoning an order in the past quarter because checkout was too long or complicated. These are findings about US shoppers, not predictions for an individual store. See Baymard’s checkout usability findings.
Use tests to evaluate proposed changes
A service can turn observed problems into testable hypotheses—for example, that clarifying delivery costs earlier will reduce checkout exits. The provider should explain what evidence supports the hypothesis, which audience or segment will be tested, and what result would count as success. A test is useful even when it does not produce a lift: it can prevent a costly change based only on opinion.
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsImplement and monitor what works
Research and recommendations do not change a store by themselves. Confirm who is responsible for design and engineering, how changes will be reviewed and released, and how technical issues will be caught. After launch, keep monitoring the agreed metrics and relevant guardrails to see whether the effect persists and whether it differs among customer segments.
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How to measure conversion and sales impact
Baymard gives a basic conversion-rate formula: conversions divided by visitors, multiplied by 100. Before comparing periods or experiments, define what counts as a conversion, which visitors are included, and how the store handles segments such as device type, traffic source, or new versus returning customers. Baymard recommends ongoing measurement and cautions that there is no universally “good” conversion rate across all industries. Use the store’s own goals and comparable segments over time rather than treating a context-free benchmark as a target. Details are in Baymard’s ecommerce conversion-rate guidance.
Conversion rate is only one measure. Depending on the change, a merchant may also monitor checkout completion, add-to-cart rate, average order value, revenue, or a guardrail such as refund rate. Agree on the primary metric and guardrails before a change is launched; otherwise, a favorable movement in one number can obscure a worse overall outcome.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What published uplift figures can—and cannot—tell you
Published examples can illustrate the kinds of outcomes organizations report, but they do not establish what another merchant should expect. The figures below have different scopes and sources, and none is a guaranteed result.
| Figure | What it describes | How to interpret it |
|---|---|---|
| 70.19% global average cart abandonment rate | Baymard Institute’s global research overview, accessed October 7, 2026; Baymard says it has tracked the global average across 14 years. | An aggregate across shoppers, not a forecast for a particular store. Source: Baymard’s cart-abandonment overview. |
| 32 unique checkout improvements on the average site; potential 35% conversion increase | Baymard’s current research overview, accessed October 7, 2026. Baymard says usability sessions indicate the average large-scale ecommerce site could potentially gain this increase through better checkout UX. | Baymard’s research-based estimate, not an expected or guaranteed client outcome. Source: Baymard’s cart-abandonment overview. |
| 35.26% potential conversion increase | Baymard’s estimate of the potential from checkout design improvements alone for the average large-sized ecommerce site, in an article updated February 2, 2025. | A research-based potential, not a prediction for any individual merchant. Source: Baymard’s checkout usability findings. |
| +12% checkout conversion rate; +40% checkout conversion rate; +73.32% add-to-cart rate | Three separate examples displayed by scandiweb: a regulated-market checkout rebuild, a multi-step checkout redesign, and a landing-page revamp, respectively. | Provider-reported client examples attributed by scandiweb to clients’ published studies. They are selected cases, not independent evidence or typical outcomes. Source: scandiweb’s CRO service page. |
| 3.5% conversion lift | Shopify’s customer example for Stellar Eats after switching to Shopify’s one-page checkout. | A platform-published customer example, not evidence that other merchants will see the same lift. Source: Shopify’s ecommerce conversion rate optimization overview. |
Shopify’s article also attributes this statement to Anna M. Peterson, product lead at Everlane: “With the Shop Pay experience, people are getting through checkout faster than with all of our other payment methods.” It is a vendor-published customer statement, not a general measurement of checkout speed.
How to choose an ecommerce optimization service
There is no established universal ranking or independent head-to-head comparison among providers in the sources cited here. Compare what each service will actually do, who will do it, and how it will show whether the work helped.
- Research depth: Does the provider start with your goals, analytics, and customer journey? Does it combine quantitative evidence with customer research rather than relying on visual opinion alone?
- Prioritization and experiments: Can it show how evidence becomes prioritized, testable hypotheses, and explain how outcomes will be evaluated?
- Implementation: Who makes validated changes? Ask about engineering access, platform experience, review processes, and how technical risks are handled.
- Measurement: Which primary metric and guardrails will be monitored, for which segments, and over what period?
- Evidence behind case studies: Are examples comparable to your business, and can you verify how their results were measured? Treat provider-published cases as claims about those cases, not forecasts.
- Scope and deliverables: Confirm what is included—from analysis through implementation—and what the provider expects your team to supply.
A credible proposal should connect a store-specific observation to a proposed change and a measurement plan. Be cautious of a guaranteed percentage lift that is not grounded in your own baseline, audience, and test conditions.
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