Here in Boston, we are at a precious moment in the year: The early onset of cool, dark evenings sets the stage for the imminent holiday season — but doesn’t eclipse the warmth of the autumn sun quite yet. As the seasons change, we have a few rare days of mild weather that I can’t pass up, so, like my fellow city-dwellers, I make a little extra time to walk and window-shop.
Except — I hardly ever return with empty hands. Especially when I spot a sale at my favorite clothing retailer, it doesn’t take long before my intended walk turns into a shopping spree. Fortunately, our data shows that I’m not the only one who falls for the spontaneous clothing purchase. Forrester’s Consumer Technographics® data reveals that women in particular buy apparel on impulse:
In fact, our data shows that 43% of women don’t research clothing at all prior to making a purchase, compared with only 36% of men. And those women who do research apparel predominantly count the in-store browsing experience as their product research, while men often use both online and offline tools.
If you’ve been following our blog, you’ll know that the Data Insights team here at Forrester has been tracking the evolution of US healthcare reform over the past three years and its implications in terms of consumer behavior, attitudes, and expectations. Our study began in July 2012, when we advised health insurance companies how to prepare for the flood of new customers entering the market. Two years later, my colleague Gina Fleming extended this analysis into Forrester’s Healthcare Segmentation, which provides a refined understanding of key customer profiles. Now, with our 2015 Consumer Technographics® Healthcare Survey just back from field, we can complement our understanding of the US consumer health insurance market with another layer of insight: the member’s journey to purchasing health insurance:
The analytics community is experiencing a rebirth. A renewal. A renaissance. Why? Data is bursting from every corner, from every device, allowing brands to deliver relevant messages and offers to its customers. So, being an analytics connoisseur is important now more than ever. I mean, who else is going to play with all this data . . . and actually enjoy it?
Organizations must develop relevant marketing strategies across devices -- to different customers -- and have the advanced measurement and analytic frameworks to fuel decisions. And the perpetually connected customer is forcing organizations to act quickly, so near-real-time insights are paramount. My past research addresses this, specifically, how analytics professionals can use attribution as a way to understand the true value of each interaction point. This is even more complex because of the increase in cross-device usage. As a result,analytic pros are using savvy ways to connect information and to measure cross-device impact and incremental value.