Data one level down

You know marketers. We are curious by nature...

So, yesterday it was a day to take a good look at all the data coming out of Reckon.ai-powered smartstores ("our microstores" as we call them). But beyond all the aggregated data, I couldn't help but look at some basic-level one. And suddenly, it all comes alive:

- people buying a salad meal + fruit + kombucha tea for lunch (you healthy ones!);

- while you could also see the netflixers (?) going for lasagna and coca-cola for a movie watching session late at night (advantages of 24/7 stores);

- and on the Pingo Doce store in Nova School of Business and Economics that runs our AI-system, there was this day in July when people bought a lot of Red Bull - was it just before an exam, I wonder?

When you have the tools to look at data at different levels (raw, treated and cleaned, or aggregated), you can't resist looking - but that's how to end up building hypothesis and insights that help you move forward.