It’s Foodie Friday! I’ve written before that I’m not much of a baker and only do so when a guest is counting on some sort of baked dessert. It’s not because I don’t have a sweet tooth though. One weakness I do have with respect to baked goods is cookies. The blue guy on Sesame Street has nothing on me and I suspect if I didn’t exercise some sort of self-control I’d weigh 300+ pounds.
I love me some cookies and take a vicarious thrill in looking at various cookie recipes even though I will only consume them through my eyes and not my mouth. One thing that I noticed popping up in a number of recipes was caster sugar, and an article on Food52 yesterday helped me understand what it is and why it’s used in baking. This is their very fine explanation:
Caster sugar goes by a variety of names, including castor sugar, baker’s sugar, and superfine sugar, the last of which alludes to what exactly it is: a finer granulated sugar. If a grain of granulated sugar is big and a grain of powdered sugar is tiny, caster sugar would be somewhere in between.
Which of course got me thinking about business, and about data in particular. Just as the more granular nature of caster sugar makes cookies a better product (they’re softer and lighter), so too can refining your data yield much better results. You’ve probably heard about the need to segment your data but if you’ve never done so or have never gone beyond basic age/sex or other large groups, you’re really missing out. Refining your data makes it possible to address each segment in a way that’s meaningful to them. The more personalized you can make your messaging, the more effective it will be. Getting beyond “first name” and into where in a purchase cycle a customer might be as a data segment will make for a better outcome. Special offers by segment only yield great results when the specificity of those segments make the offer truly special.
Caster sugar is more refined but not overly so. That’s a great thing to keep in mind as you analyze and use all the raw data you collect every day. The fact that the data isn’t fattening is a big plus!