Still with me? Did you check out my cupcake story? Good.
When analyzing my data, the break through data emerged when I factored in geography. That’s when I realized the source of my trouble. A large portion of my consumption was coming from one vendor and one location and on one day: the Batter Bakery kiosk on California Street. But why was this so?
It’s embarrassing to admit, but I realized that I was seeing a personal trainer and after each training session, thinking I deserved it, I would buy myself a treat on the way home. Hence, a habit was born and I had no idea what the habit was doing to me.
From my cupcake consumption analysis, I learned what every great marketer already knows – get in someone’s flow and you greatly influence their behavior. In fact, proximity, is the number one predictor of behavior. Why do you think there are Starbucks across the street from each other?
So a couple things to note – seeing the data transformed into information I could understand (5 lbs) gave me an aha! moment. This is something that many applications out there today completely jump over/charge past. As a result those apps initially only appeal to the super motivated and super disciplined.
Frankly, 5lbs got my attention and once that happened I wanted to know why and as a natural continuation of that, what I could do to change that number.
The why/the cause is the very difficult part. I, knowing myself the best, could come up with it, but you can imagine an application that asks questions of users to get to this part of the formula.
Once I hit on the fact that I was “treating” myself after training sessions, I understood how to stop myself. I asked my personal trainer to change locations. I no longer passed the Batter Bakery kiosk and stopped my habit cold.
Excited about my discovery I restructured Refleta.com to focus on weight loss.
So did I instantly lose 5lbs? Sadly, no.
I, like most people, know the formula for weight loss: eat less and exercise more. Yet even though we all know the formula why can’t we stick to it?
It’s because many of us over-eat or make poor eating choices for several reasons. I just found other reasons.
To that end I wanted to see if I could get at some of these reasons. I figured to do this I would need a lot of cross-dimensional data.
The story continues. Go to part four.