A/B testing storefront experiments without a data team
Split traffic on themes, hero sections, and checkout copy — measure conversion with built-in experiment analytics.
Arab ecommerce teams guess on hero headlines and button colors because proper experimentation felt enterprise-only. Mrfqy storefront experiments let you assign variants, hold out a control group, and read results in the analytics dashboard.
Create an experiment
Name your test, pick a goal metric — add-to-cart rate, checkout started, or purchase completed — and define traffic allocation per variant.
Attach theme overrides or section JSON so variant B can change hero copy, product grid columns, or accent colors without duplicating the whole store.
Sticky assignment and fairness
Visitors get a consistent variant per device cookie so they do not flip between layouts mid-session. Bots and staff preview modes are excluded from results.
Run experiments for at least one full week including a weekend — GCC shopping peaks differ from Western SaaS benchmarks.
Theme and section experiments
The experiment theme editor previews RTL Arabic layouts alongside English. Validate mobile breakpoints before going live — most Arab traffic is phone-first.
Section library blocks — featured collections, testimonials, trust badges — can differ per variant without redeploying code.
Read results and ship winners
Analytics shows variant sample sizes, conversion lift, and confidence hints. Export to your BI stack if you already use Metabase connectors.
Promote the winning variant to 100% traffic and archive the experiment — historical runs stay for year-over-year comparisons.