I’m a boy (and fiercely proud of it). Mind you, this topic was the subject of discussion, recently.
The client, a fashion brand, wanted to know whether individuals where male or female when signing up to receive a newsletter. Checkboxes.
The client in question targets women. Visitors to their website are women. The people having the discussion at the time were all women (except for me, but we’ve covered that already).
Armed with that knowledge, I asked, “Why do you then want to know if a visitor is male or female?”
“It’s good to know,” came the quick, confident answer.
Well, it’s also good to know that an ‘aglet’ is the small plastic bit at the end of your shoelace that keeps the twine from unravelling. Good to know ,yes. But completely and utterly useless information, as I’m sure you’d agree. Unless, of course, you’re in the shoelace business or have a lot of time on your hands and think that knowing such a thing is good for making new friends.
Is this making sense?
If we are not going to use a particular piece of tasty information for anything, why should we ask for it in the first place?
Now, if – for example – we begin to see a trend over a couple of months were males are signing up for this fashion newsletter, perhaps we can enquire as to why they are doing it, and develop a value proposition just for them? Perhaps they are birthday shoppers. Perhaps they have young daughters. Perhaps they just like pink. Imagine the conversation (and conversion) possibilities.
But no. Until we know why we are asking for a piece of information, and perhaps more importantly, what we are going to use that information for, we may as well start collecting aglets.
Another case in point. My mobile operator asked me, on the first day I joined their service, what my language preference was. English, please. They noted my desire. Even confirmed it. And to this day continue to communicate with me every which way they can. In French.
So, why, if you weren’t going to use the data that I just gave you, did you ask for it?
Similarly, if we look at our metrics dashboards. Are we sure why we are measuring the things we are measuring? And once we have measured it, what are we going to do with it?
A dashboard with 1 or 2 smart little figures that we can really use is surely more useful than a dashboard with millions of the creatures?
Could there be any other reason why we would collect data that we wouldn’t use?
P.S. Hello, by the way. Ryan Ducie, here. Guest Blogger, Content Editor, Storyteller and Metrics Idealist.
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