How important is adequate category knowledge to interpret Decision tree outputs?

https://embed-ssl.wistia.com/deliveries/a2e5282a7ed8241019dee6e6b3877704.mp4

With a decision tree output, its beauty is in the simplicity of it – it really helps you and your stakeholders make sense of all of it at a glance. As you go down the diagram, you discover new and deeper info and you begin to understand how consumers discern between products, even if it doesn’t fully align with what is on the shelf or your ingoing assumptions. Of course, the most important output is the behavioral decision tree which shows the behavioral importance of the product attributes.

Another valuable output that can be included is one I’m almost as excited about as the behavioral decision treemap itself. Our Brand Gain & Loss Analysis can tell you the proportion who switched from your brand to Competitive Brand X, etc., and when or who switched from Brand X to your brand and when. We can outline the 4 different types of shoppers, but this is even more granular and can show you where and to whom repertoire or loyalties lie. We also include the stated importance of the attributes, brand recall, dominant occasions, and missions, as well as ease of shopping and shelf organization.

So, you get a 360-degree view of the shopper and the shelf by using both implicit and explicit methods in a single study.

How can brands take on comprehensive projects in areas that are a bit underexplored in comparison to packaging or ads?

https://embed-ssl.wistia.com/deliveries/6b895edffcb9bbcc76293b35f1ae4014.mp4

In any complex study, the organization is key, of course. But I think it’s also important to know that ingoing hypotheses are just that – hypotheses.

As researchers, we need to remember to take a step back and let the consumer data tell us the story.

It sounds trite, but we represent the voice of the consumer. Of course, we need to add the layer of our research and business expertise to the consumer’s voice for our stakeholders, but the basis of what we do is consumer-led insights.

Ensuring we’ve done due diligence in setting up complex studies in areas of discovery or during times of discovery is critical – garbage in, garbage out – and that may mean a couple of extra steps. Things like desk research, talking with counterparts in other countries or categories, connecting dots from other research initiatives are all ways we make sure we’re at the top of our game at EyeSee to help our clients navigate complexity.

E-commerce is different from FMCG, but while it is sometimes more complex than packaging, it is at least as exciting. And with solutions such as the online path to purchase, we simplify that complexity for our clients and their stakeholders.