Expert answer · 2 min read

How do I set up an A/B test for my discounts in Growth Suite?

I'm looking to optimize my e-commerce store's discount strategy but I'm unsure how to systematically test different approaches. I want to understand how to set up A/B tests for my promotional campaigns that will help me identify which discount methods drive the most conversions and revenue. My goal is to move beyond guesswork and make data-driven decisions about my pricing and promotional strategies, but I'm not sure where to start or what specific parameters I should be testing.

The short answer

In Growth Suite, go to the A/B Testing Module, create a new test, define your two variants (e.g., different discount amounts or offer types), set your traffic split (typically 50/50), and let it run until statistical significance is reached. The module tracks conversions and revenue per variant automatically.

In depth

Setting Up A/B Tests for Discounts in Growth Suite

A/B testing discounts removes guesswork from your optimization process. Instead of assuming that 20% off converts better than 15% off, you measure it. Growth Suite's built-in testing module lets you run these experiments without requiring separate testing tools or developer assistance.

A/B Test Setup Steps

1. Open Growth Suite - navigate to the A/B Testing Module
2. Click Create New Test
3. Define Variant A (control - current offer or baseline)
4. Define Variant B (challenger - the change you want to test)
5. Set traffic split - 50/50 for standard tests
6. Define your success metric: conversion rate, revenue per visitor, or AOV
7. Set minimum test duration (at least 7 days)
8. Launch and monitor until significance is reached

What to Test First

Test TypeExampleExpected Impact
Discount amount10% vs 15% offHigh - directly affects margin and conversion
Discount type% off vs free shippingHigh - different value perceptions
Timer duration15 min vs 30 min countdownMedium - urgency level effect

Do not call a winner until you have at least 95% confidence and a minimum of 100 conversions per variant. Ending tests early based on early results is one of the most common A/B testing mistakes - early data is noisy and often reverses.

Growth Suite A/B Testing Module

Growth Suite's A/B Testing Module is built specifically for discount and offer testing - it tracks not just click rates but actual revenue impact per variant. The winner can be promoted to 100% traffic with one click.

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