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Interflora turned to monadic testing to settle an internal hypothesis about their new Christmas gifting range.
Struggling to agree on the digital presentation of their 2025 Christmas gifting range, Interflora turned to Attest to carry out some monadic testing. The split testing would allow them to show the products to different audiences with and without names, and compare the results.
There was a hypothesis in the business that the product names impacted consumer choice. Monadic testing allowed us to understand whether preferences changed when the name was shown. Laura Hickey, Senior Insight Manager, Interflora
There was a hypothesis in the business that the product names impacted consumer choice. Monadic testing allowed us to understand whether preferences changed when the name was shown.
Monadic testing allowed Interflora to easily expose consumers to different concepts, without the need to create multiple surveys with audience exclusions.
It was intuitive to set-up in the platform and made things a lot quicker than running multiple surveys. Liam, our research manager at Attest, checked everything over before we set it live. Having another pair of eyes on the survey was helpful.
With multiple packaging concepts and naming combinations to test, Interflora were able to analyse all of the results side-by-side in a single survey. This showed that names do indeed strengthen the preference for one product over another.
The features in the platform enabled easy comparisons of the different audiences, which allowed us to focus more time on insights and recommendations for the business, rather than data analysis.
The data was pivotal in confirming Interflora’s hypothesis, letting them move forward with their Christmas 2025 gifting range. The insights have been used to support decision making around product design, packaging and naming.
Trends in our category are constantly evolving, and we want to make sure we are offering a range of handcrafted bouquets that customers love to send and receive. The best way to do this is by asking for their feedback.
Got a hypothesis you need to test? Discover monadic testing…