Behavioral targeting is all the rage these days, and for good reason in general. The caveat is just that, however: in general. When it works, it works great, creating greater recall, brand lift and ROI. However, when it doesn’t work, it REALLY doesn’t work, and can lead to serious concerns over privacy issues. In fact, it often backfires by correlating consumer behavioral data and making assumptions about that individual that aren’t true.
For example, I recently did some research on some baby products for my daughter who has a one year old boy. I also went to a few of my favorite car sites, and cruised some collectible auctions. The next thing you know, I’m targeted with ads for minivans. I’m a single guy. The last car on the earth you’d catch me driving is a minivan. But based on my behavioral data, I looked like the ideal demo target. Wrong, really wrong.
Or how about the ads I got targeted with after I reviewed some low sugar recipes on a major food network? Diet ads. That just irritated me because I am not overweight. I am diabetic. That’s different.
While algorithms can track contextual relevance from keywords, and apply overlays for demographics, geolocation, even psychographics, they can’t make the synaptic living connections that the human brain does automatically. Put simply, there is no algorithm smarter than the human brain.
It’s what I refer to as the Human Filter Factor. People instinctively know how to respond to specific offers and will filter how they pass these on. They won’t pass on a local grocery store coupon to their family three thousand miles away. They won’t pass on a Depends offer to their recent college graduate, and they certainly won’t send a Hooters two-for-one Saturday night special to their minister. But they will send out that two-for-one Jamba Juice coupon to everyone they know because who doesn’t like Jamba Juice? In fact, a recent Jamba Juice social media marketing campaign achieved a 126% click-through rate with just such an offer. A large food and beverage company expected to have 5,000 coupons redeemed in a thirty day period. They reached those numbers in just two days.
Not every campaign will have those kind of blow-away numbers, of course. But many do, and almost all campaigns that use referral marketing in social media deliver much higher efficiencies than standard digital advertising campaigns. After all, it’s only natural… people like to share, and when they have a trusted relationship with an advertiser, they in fact want to share that offer or news or special promotion. It’s a part of our nature.
Behavioral targeting and privacy are all over the Federal government’s radar for good reason. But with judicious use of services that protect consumer information and privacy, advertisers can build their brands with increased consumer loyalty.