# Ordering Pricing Plans Cheapest or Priciest First

Page: https://alidemirbas.com.tr/en/lab/ab-test-library/tests/ordering-pricing-plans-cheapest-or-priciest-first

## Hypothesis

Ordering from most to least expensive may turn the first card's high price into a reference and pull choices toward higher plans. Ordering from least to most expensive may instead bring more visitors to purchase through a lower entry price; which order raises revenue per visitor depends on how those two effects balance.

## When to run this test

A heatmap where only the first card draws attention, mobile visitors who never scroll past it, or choices piling up on the lowest-priced plan suggest visitors fix on whichever plan they see first. If order really matters, the two orders lead visitors to judge the plans differently and the plan mix shifts. If choices pile up because the differences between plans are unclear, clarify the plan descriptions first. Keep card size, contents, prices and enterprise-price visibility the same in both orders.

## Primary metric

**Revenue per visitor (RPV)**: Compare revenue per assigned visitor to see whether plan order changes results.

## Other metrics

- **Featured plan selection rate**: Check whether selection of the highlighted plan changes.
- **Lowest-priced plan selection rate**: Review shifts to entry plans alongside total revenue.
- **Time to decision**: Read decision time alongside selection and revenue.
- **Support contacts**: Track questions such as “Which plan should I choose?”.

## What to check before and during the test

- **Direction**: Compare ascending and descending price order.
- **Anchoring**: Record which plans enter the viewport; clicks alone do not prove an anchoring effect.
- **Featured plan**: Make sure the “Recommended” label stays on the same plan when order changes.
- **Scrolling**: Check whether mobile visitors see only one plan before scrolling.
- **Segments**: Review whether business and consumer visitors respond differently to order.

## What to watch when reading the result

- The order that wins is the one with higher revenue per visitor. Even if the featured plan is chosen more often, that order has not won if a shift to the lowest-priced plan lowers total revenue or support contacts about plan differences go up. Do not read time to decision as good or bad on its own.
- Clicks do not prove an anchoring effect, so read them together with a record of which plans actually entered the viewport. On mobile the first card is often the only one visible, so report mobile and desktop as separate findings rather than folding them into one result.
- If plan contents, prices or the position of the "Recommended" label moved along with the order, the result no longer measures order alone. Its scope is this plan set; check business and consumer visitors separately.
- Record a small or unclear revenue gap as not detected rather than as proof of no difference. Splitting results by device shrinks each group, so work out the sample you need with the [sample size calculator](https://alidemirbas.com.tr/en/calculators/sample-size-calculator) before launch.

## Frequently Asked Questions

### What happens to the recommended badge when plan order changes?

Keep it attached to the same plan. Preserve plan contents, prices and enterprise-price visibility rather than changing the recommendation simultaneously.

### Do clicks establish a price-anchoring effect?

No. Use revenue per visitor as the primary outcome and record actual plan exposure. Clicks and plan mix do not prove the psychological mechanism.

### Why might mobile results differ?

The first card may be the only one visible without scrolling. Inspect mobile and desktop separately rather than attributing every difference to anchoring.