A/B testing & analytics

Stop guessing your thresholds — test them and measure the results.

Threshold A/B testing

An experiment runs your current tier thresholds (variant A) against an alternative set of threshold amounts (variant B) on live traffic, then tells you which one produces a higher average order value.

Start an experiment

Open EZ AOV Boost and go to the A/B testing section.
Enter the variant B threshold amounts. Only the amounts change — reward types and values stay the same, so the comparison is fair.
Start the experiment.

How assignment works

Each cart is deterministically assigned to variant A or B — the same visitor always sees the same thresholds, so the experience is consistent across page views.
Orders are tagged with their variant so results attribute revenue to the right side.
Carts opened before the experiment started keep the thresholds they first saw.

Read the results and finish

The experiment card shows orders, revenue, and average order value per variant.
Results become meaningful at roughly 30+ orders per variant — before that, treat differences as noise.
Stop ends the experiment and keeps your current (variant A) thresholds.
Promote B ends the experiment and applies the variant B amounts to your live tiers in one click.

Editing your live tiers while an experiment is running ends the experiment automatically — the comparison would no longer be valid.

Threshold Advisor

The Threshold Advisor analyzes your store's recent order values and recommends a data-driven threshold, so your first tier isn't a guess.

Needs at least 100 recent orders to make a recommendation.
The suggestion is based on your median order value, positioned to be reachable but still a stretch.
Apply adds the recommendation as a disabled 10%-off tier you can review, adjust, and enable when ready — nothing changes on your storefront until you enable it.

Analytics

The Analytics page covers:

Engagement — progress bar views, threshold completions, gift interactions, and checkout starts.
Sales impact — orders and revenue attributed to carts that interacted with the app, plus average order value trends.
Feature breakdowns — how each pillar (cart minimum, tiers, recommendations) is performing.
Daily trends — charted day-by-day, exportable as CSV.

All analytics are aggregated and anonymous — no customer personal information is collected. See the Privacy Policy for details.