Loading Speed as a Conversion Variable: Lab vs. Field Data
Why Lighthouse lab scores and Core Web Vitals field data disagree, how each correlates with conversion, and when lab optimization fails to translate to field gains.
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Murat OvaDepartment
Friction surfaces, trust architecture, pricing-page design, mobile-first decision flows, and the experimental discipline that turns intuition into evidence.
8 essays
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The thesis
Conversion-rate optimization is the discipline most prone to cargo-cult thinking in commercial product work.
Conversion-rate optimization is the discipline most prone to cargo-cult thinking in commercial product work. The case-study graveyards are full of personalization wins that did not replicate, pricing-page redesigns that lifted one segment and tanked another, and trust-signal experiments that moved nothing.
The work that actually compounds rests on a decision pyramid that ranks where effort returns. This series treats CRO as an applied behavioral science with a measurement spine, careful about what is signal versus noise, honest about which interventions transfer across contexts and which do not.
Essays in this department
Why Lighthouse lab scores and Core Web Vitals field data disagree, how each correlates with conversion, and when lab optimization fails to translate to field gains.
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Murat OvaA field-test compendium of trust signals (SSL badges, guarantees, testimonials, reviews, press logos, accreditations) and what the actual lift literature says about each, with the standard caveat that trust-signal lift is highly context-dependent.
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Murat OvaThe IA validation pipeline from open and closed card sorts to tree testing to first-click testing to production navigation A/B tests, and the under-discussed sample-divergence problem when card-sort participants do not match real visitors.
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Murat OvaWhen small checkout tweaks return more than full rewrites, what the Baymard Institute research actually says, and a decision framework for choosing between incremental optimization and macro redesign.
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Murat OvaPersonalization platforms promise per-user pages. A/B tests assume equivalent groups. Reconciling the two requires heterogeneous treatment effects, uplift modeling, and an honest read of "personalized lift".
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Murat OvaPrioritizing CRO investment by tier. The base (speed, trust, accessibility) returns reliably. The middle (copy, layout, social proof) returns conditionally. The top (personalization) returns only with infrastructure.
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Murat OvaA twelve-element framework for pricing-page design. Anchor positioning, plan ordering, tier recommendation, billing toggles, social proof, FAQ, and the rest, with conditions for each element to actually return.
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Murat OvaWhy classical CRO assumptions break in B2B. Long cycles, multi-stakeholder committees, weak in-flight signals, and attribution noise turn funnel-stage optimisation into content-led measurement.
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Murat Ova