# Mega Menu or Simple Horizontal Menu A/B Test Example

Page: https://alidemirbas.com.tr/en/lab/ab-test-library/tests/mega-menu-or-simple-horizontal-menu-ab-test-example

## Hypothesis

A mega menu lays out subcategories in one panel, so visitors who know what they want may reach it in fewer steps. A horizontal menu gives a cleaner first view but may need an extra step to reach subcategories. Which one wins on purchase conversion could depend on whether that shortcut outweighs the extra information it puts on screen.

## When to run this test

Compare the two structures when category page visits are weak, when visitors wander through a few menu steps and then switch to search, or when session recordings show people browsing the open panel for a long time and leaving. The better structure shortens time to reach a category, cuts navigation steps and keeps bounce rate from rising. If visitors miss destinations because the category names are unclear, fix the naming first, and before the test starts, check that both menus open without lag and with no animation slowing them down.

## Primary metric

**Purchase conversion rate (CR)**: Compare purchases among eligible assigned visitors who encounter the navigation.

## Other metrics

- **Time to reach a category**: Measure arrival at the category, not just the first menu click.
- **Navigation steps**: Count interactions required to reach a target category.
- **Bounce rate**: Compare exits without further interaction using one consistent definition.
- **Category page visits**: Compare visits to category pages.

## What to check before and during the test

- **Structure**: Compare a multi-column mega menu with a one-row horizontal navigation that has no mega panel; submenu interactions are a separate variable.
- **Destinations**: Keep category names, order and destination pages the same.
- **Time**: Use the same start and arrival events to measure navigation time.
- **Key destinations**: Review access to important destinations, not total menu clicks alone.
- **Mobile**: Analyze only real mobile differences; exclude devices that render the same layout.

## What to watch when reading the result

- Purchase conversion makes the call; time to reach a category and navigation steps only explain the gap. A menu that collects more clicks without lifting category page visits is not proof that navigation got easier.
- Each menu wins or loses as a whole: differences in hierarchy and submenu access are part of the layout you showed, so do not credit the effect to the horizontal orientation alone. On mobile, analyze only layouts that truly look different, and check that the horizontal menu does not run into sideways scrolling problems.
- If the mega menu arm has grown into a pile of categories and columns, any loss reflects the clutter rather than the structure; keep the panel easy to scan at a glance. When no clear gap emerges, put the site's current purchase conversion rate and the smallest relative lift worth detecting into the [sample size calculator](https://alidemirbas.com.tr/en/calculators/sample-size-calculator), then compare the sample it gives per arm with the traffic each arm actually got. If the arms fell short, the test could not have detected an effect that size, so consider a longer run.

## Frequently Asked Questions

### What exactly does this menu test measure?

It compares two complete navigation structures, including hierarchy and submenu access where these differ. Preserve category names and access to destinations. Do not attribute the effect to horizontal orientation alone. Use purchase conversion as the primary outcome.

### How should time to a category be measured?

Measure arrival rather than the first click, using common start and destination events. Click depth explains navigation effort. Purchase conversion determines the outcome.

### Why can total menu clicks be misleading?

More clicks may coexist with worse access to important destinations. Review destination access and monitor bounce rather than relying on total clicks.

### How should mobile traffic be handled?

Analyze genuine mobile differences separately and exclude identical layouts. Ensure horizontal navigation remains usable without problematic scrolling or slow opening animations.