A challenge that had been identified – the pasta sauce category was not keeping pace with the pasta category itself. A curiosity at the best of times.
Barilla looked to D/A to help solve this via Sila’s insight and D/A’s researchers to uncover what might be the cause of this, and what could be done to address it.
Rather than starting by asking questions, we started by looking at audiences. It’s the D/A approach – audience first – that yields a considerable bias reduction.
By looking at those audiences, and importantly, the people who create the recipes they follow, we were able to better understand how pasta was being used to arrive at the insight.
This approach allows us to look at data a different way – focusing on real-world results rather than the researcher’s own opinions or assumptions.
At the best of times, data can only do so much. The need for processing the information into workable insight is the next step.
D/A’s researchers took the substantial data points and analysed trends, along with personality insights, to understand the issue, and more importantly, the usage better. The data is then trended and allows for a greater appreciation of a trend, or just momentary blips.
The benefits of this approach are:
Once our team reviewed the data there was several findings that stood out. The details are confidential, but the data pointed us towards:
For the details, you’ll have to reach out to us!
Following the insight received through the analysis, our Influence team then created a brief around the findings.
The first step was to gently educate the audience, the second step was to encourage trial and the last step was to get feedback on the trial.
You can read more about the execution by clicking here.