Conversion optimization that runs on numbers you can actually trust.

A conversion rate optimization consultant diagnoses why a store's traffic does not turn into orders, then fixes it. The work covers funnel measurement, drop-off analysis at each step from product view to purchase, page-level diagnosis of the highest-revenue pages, and a prioritized plan of changes ranked by expected impact and effort. Some consultants only advise. We diagnose, prioritize, and implement, and we validate the underlying tracking before drawing any conclusion, because a recommendation built on a mismeasured funnel fixes the wrong thing.

Our entry point is the fixed-scope CRO Audit from $500: funnel diagnosis, page-level opportunities, and a prioritized roadmap you keep. Implementation projects are quoted fixed after the audit, because the right scope differs a lot between a store doing $500K and one doing $10M. Ongoing optimization runs as a retainer module from $1,500 per month. For context, specialist CRO agencies commonly charge $3,000 to $15,000 per month for ongoing programs; our model starts smaller because the audit tells both of us exactly what is worth paying for before you commit.

A/B testing is one technique inside conversion rate optimization, not the whole discipline. CRO is the full loop: research what is going wrong, form a hypothesis about why, decide what to change, then measure whether the change worked. A/B testing is only the measurement step, and it is the step most stores cannot use for every decision because it needs traffic volume. On lower-traffic stores, most of the value comes from removing obvious friction and fixing measurable breakage, validated by before and after comparison rather than by a split test.

To detect a two to three percentage point lift with confidence you generally want around 20,000 sessions per variant per test. Below that, tests take many weeks to reach significance and the false-positive risk climbs. Most stores between $500K and $10M in revenue cannot run a meaningful test cadence at that threshold, which is why we do not sell a fixed number of tests per month. We test where the traffic supports it and use direct diagnosis and staged rollout everywhere else.

Several common tracking faults corrupt test results without any visible error. Duplicate purchase events inflate one variant's conversion count. Sample ratio mismatch means visitors were never split evenly in the first place. Cross-domain session breaks split one shopper into two, so the baseline conversion rate is wrong before the test starts. Consent gaps hide an entire segment of traffic from measurement. Each of these produces a clean-looking result that points the wrong way, which is why we validate measurement before any experiment runs.

Most ecommerce stores convert somewhere between one and three percent of sessions, and the useful comparison is almost never the industry average. Conversion rate varies enormously by traffic mix, price point, category, and device split, so a store with expensive considered purchases and a store selling low-cost repeat items are not comparable. The number that matters is your own trend, measured consistently, segmented by channel and device. A store whose paid traffic converts at half the rate of its organic traffic has a specific, fixable problem that an industry benchmark would never surface.

The diagnostic phase is fixed scope and short. Implementation depends on what the diagnosis finds and who is making the changes. Quick wins such as friction removal and copy or layout fixes usually ship in the first phase. Structural work such as checkout changes, page rebuilds, or offer changes runs longer and is sequenced by expected impact. Conversion optimization compounds, so most engagements move into an ongoing rhythm once the first round of fixes is measured.

Not always. Many high-impact changes on Shopify are theme, content, or app configuration changes we can make directly with the right access. Structural changes to checkout, custom functionality, or anything touching your codebase does need a developer, and we write the spec so your team or ours can implement it without guesswork. We tell you which category each recommendation falls into as part of the prioritized plan, so nothing arrives as a surprise dependency.

The audit is the diagnosis and it ends with a ranked roadmap you keep. This service is the diagnosis plus the execution: we make the changes, measure them, and keep iterating. Most engagements start with the audit because it is fixed scope and gives both sides a shared, evidence-backed picture before anyone commits to a longer program. If you already have a credible audit from someone else, we will work from it, once we have checked the measurement it was built on.

SEO brings more people to the store. Conversion rate optimization turns more of the people already there into buyers. They compound: a conversion rate improvement multiplies the value of every channel feeding the site, including paid traffic, so the return is usually faster than acquisition work. They can also conflict, since changes that help ranking sometimes hurt conversion and the reverse. Measuring both properly is the only way to tell which is happening.