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Unlock your campaign's full potential

With the ability to test key variables like subject lines, email templates, and scheduling, you can optimise your email campaigns to improve response rates, boost engagement, and prove the value of your efforts - all from one user-friendly dashboard. 

Image showing a depiction of A/B Testing Tool

What is A/B Email Testing Tool? 

It’s a data-driven feature that removes the guesswork from your campaigns. By automatically sending two slightly different email variations, such as testing different subject lines, messaging templates, or send times, to small sample groups, it identifies which version performs best. The winning version is then sent to the rest of your audience. Ultimately, it maximises open rates and review completion rates, helping you collect far more authentic customer feedback with total confidence.

Don't guessing which subject lines or designs resonate best with your audience. By running scientific 50/50 split tests on your email campaigns, you can prove exactly which tactics drive results. This evidence-based approach allows you to present clear winner vs. variant data to stakeholders, moving from subjective opinions to a strategy backed by proven performance metrics.
Data-driven optimisation image
Fine-tune the key drivers of engagement to find your brand's sweet spot. By identifying the combinations that trigger the most action, you can significantly boost your open rates and feedback completions, ensuring that your collection efforts are as efficient and productive as possible.
Maximise open rates and completions image
Keep your outreach fresh and effective by testing new strategies against your established control campaigns. The A/B Testing Tool serves as a powerful anti-churn mechanism, allowing you to iterate on your messaging without risking your baseline results. This constant evolution ensures your feedback loop remains healthy, leading to improved long-term engagement and more consistent data collection.
Prevent campaign fatigue and churn image
Eliminate guesswork with data-driven optimisation
Don't guessing which subject lines or designs resonate best with your audience. By running scientific 50/50 split tests on your email campaigns, you can prove exactly which tactics drive results. This evidence-based approach allows you to present clear winner vs. variant data to stakeholders, moving from subjective opinions to a strategy backed by proven performance metrics.
Data-driven optimisation image
Maximise open rates and completions
Fine-tune the key drivers of engagement to find your brand's sweet spot. By identifying the combinations that trigger the most action, you can significantly boost your open rates and feedback completions, ensuring that your collection efforts are as efficient and productive as possible.
Maximise open rates and completions image
Prevent campaign fatigue and churn
Keep your outreach fresh and effective by testing new strategies against your established control campaigns. The A/B Testing Tool serves as a powerful anti-churn mechanism, allowing you to iterate on your messaging without risking your baseline results. This constant evolution ensures your feedback loop remains healthy, leading to improved long-term engagement and more consistent data collection.
Prevent campaign fatigue and churn image
 

Read real success stories

Lovat Parks let customer data lead and gained a 52% uplift in transactions
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Lovat Parks let customer data lead and gained a 52% uplift in transactions

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LV= brings transparency back to finance

Opening itself up to unedited customer comments was a bold move in an industry low on trust, so to help make this leap LV= engaged with Fee...

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FAQs

What does the A/B testing tool measure?

The A/B testing tool measures Response Rate (Email Template & Scheduling), Email Open Rate (Subject Line & Scheduling), and Form Completion Rate (Email Template, Scheduling & Subject Line).

Can the A/B testing tool be split by tag or SKU?

Yes, a certain test can be sent based on a specified tags or SKUs.

Can the A/B test be for a set, limited time?

Yes, the A/B test can be scheduled to run for a specific date period. We recommend a minimum of 3 weeks for reliable results.

How many tests can I run simultaneously?

You can run one A/B test at a time on a single variable (Subject Line, Template, or Schedule). This ensures your results are accurate and easy to attribute. Depending on your package, you are typically allocated 3 to 5 tests per year.

What is the minimum sample size for reliable A/B results?

Feefo recommends a minimum duration of 3 weeks rather than a specific number of emails. This ensures the data accounts for weekly shopping habits. For the results to be reliable, you must also ensure you are only testing one variable at a time to isolate the cause of any performance changes.

 

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