Glossary

A/B/C Testing

Using A/B/C Testing in E-commerce

In e-commerce, A/B/C Testing can be particularly useful when there are multiple hypotheses or strategies to test. For instance, an online retailer might want to compare different pricing strategies, page layouts, or call-to-action phrases to see which resonates the most with their audience. By testing three variants simultaneously, retailers can gather more data and insights, which can be instrumental in refining the online shopping experience and making more informed decisions.

Benefits of A/B/C Testing for E-commerce

  • Increased Insights: With an additional variant, A/B/C Testing provides more insights and a better understanding of user preferences and behaviours.
  • Higher Precision: Helps in narrowing down the most effective strategy or design element with greater precision.
  • Efficient Optimisation: Allows for quicker optimisation by evaluating multiple strategies simultaneously.
  • Improved User Experience: By identifying what resonates best with the audience, retailers can create a more engaging and user-friendly shopping environment.
  • Data-Driven Decisions: Fosters a culture of data-driven decision-making, aiding in achieving better conversion rates and higher customer satisfaction.

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