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Merchandising and Ranking Feature

A/B Testing your Ecommerce ranking

Base your decisions on quantified evidence: validate every ranking modification with data. Our A/B testing tool allows you to compare the effectiveness of different boost or merchandising rules to optimize your e-commerce conversion rate.
Validation

A/B Testing: Securing Merchandising Decisions

Every boost rule modifies the customer experience and influences user behavior impact. A/B testing allows you to simultaneously test two versions of the same search or category page (with and without the boost).

This limits the risk of revenue loss before deploying a new ranking strategy across all your e-commerce traffic.
Methodology

Measuring the Impact of the Boost on the Conversion Rate

Our A/B testing process is conversion-centric. You create Group A (Control, without the new boost) and Group B (Experiment, with the new rule). The tool automatically measures the impact on the conversion rate, allowing for a clear reading of the results.

This is the most reliable way to validate if a ranking modification truly benefits your e-commerce.
ROI

A/B Testing: Increasing E-commerce Merchandising ROI

Merchandising decisions must be profitable. A/B testing boosts is the only way to guarantee that every ranking action improves your revenue.
FAQ

FAQ: Implementation and Best Practices

Find the essential answers for setting up your boost tests and optimizing your web page, categories, and ranking strategies.
Read the User Guide or contact us for assistance.
What is the main metric tracked when testing a boost?
Can a constant boost and a behavioral boost be compared?
How to ensure the statistical reliability of the results?
Does the test impact site performance?
Can teams choose the percentage of traffic allocated?