Advertising: Rinse and Repeat
Could excessive ad frequency actually be good for your brand?
Reach and frequency have always been at the heart of media buying. For those of you who are unfamiliar with the practice, the basic principle in media buying is to reach a large portion of a target audience within the constraints of a fixed advertising budget, and reach everyone not just once, but enough times to have an impact because, well, we’re easily distracted and we don’t get things the first time around.
In the old days of TV advertising, media expert Bill Harvey points out, that meant buying 210 gross rating points (GRP) per week to get a 70% reach and an average frequency of 3 exposures per person. So we all found ourselves seeing the same shampoo ad about three times a week. Not any less because it might not register with us (give it time to wear-in), and not much more because we might grow tired of seeing that same ad over and over again (don’t let it wear-out).
The world of television has changed a lot since then (more networks, smaller audiences, online streaming, mobile viewing, etc.), and the tools used by marketers to reach consumers have evolved to keep pace, but by and large, those tools are still based on the concept of finding the right balance between reach and frequency. The reach can now be tailored to target not just people of a certain age and sex (but loyal consumers, for instance, or people who might be going to the store tomorrow), and the frequency can be adjusted based on certain known conditions (balancing cumulative exposure between TV and digital, for instance), but the game is still to weigh one against the other to optimize the impact (cognitive, emotional, behavioral) that an ad campaign will have on the target consumer. And at the end of the day, three or four certified exposures a week (with perhaps a couple of those closer to the weekend) seems about right for a typical brand.
Or so I thought.
I watched The Handmaid’s Tale on Hulu recently, and found myself catching up on past episodes, and thus watching several episodes in a row — yes, binge watching! As I’m paying $7.99 a month for my subscription, my viewing experience is curated with programmatic ads — that is, ads that fit my profile. For some mysterious reason, one of those ads was for DampRid Moisture Absorber (this one). I get it: I live in Florida, so I imagine it must be musty in my closet. No problem there, but over the course of a single evening watching Tale, I got the pleasure of seeing that exact same 30-sec DampRid commercial not once, not twice — but 15 times! Rinse and repeat.
That happened again with other ads during other binge sessions. It’s entirely possible that Hulu doesn’t have that many advertisers to play with for people like me (and thus has to rotate the same commercials over and over again), but I’m wondering if they’re not actually experimenting on me. Testing how much I can endure before kicking in another $4 to get to a commercial-free version of Hulu — or (gasp!) calling it quits altogether and switching my allegiance to Netflix and Amazon Prime.
Have you had the same experience?
There may be something else at play. The two-factor (wear-in/wear-out) theory that has underpinned the notion of capping frequency for the past fifty years isn’t the only game in town. There are other models that suggest that instead of wearing out, the impact of an ad campaign continues to grow past a certain number of exposures — albeit not at the same rate. Frequency needs to be monitored and controlled here too, but not for the same reasons.
If you wanted to plot the impact of an ad against its frequency, you wouldn’t get an inverted U-curve with these alternate models, but a negative exponential curve or an S-curve indicative of diminishing returns. In other words: people don’t turn away from the brand after three or four exposures in that scenario, but that fifth exposure simply does not offer the same bang for the extra buck, so you might as well spend it elsewhere. Now, if Hulu and its programmatic partners make it cheap enough for advertisers to purchase that 5th (and 6th, and 7th, etc.) exposure, it opens up the floodgates.
All of those models have been around for a long time, and have been studied extensively, but not in the context of today’s complex (and rapidly evolving) ecosystem. How would you define impact today? Higher repetition might be good for recall online, but bad for attention on TV. It might be good for short-term purchases, but bad for long-term brand equity. You might end up with very different curves for each of those sub-metrics. Pick an ad for a car manufacturer rather than a household cleaning product, or focus on newbies rather than people already familiar with the brand, and you might get even more variations in your results.
Look, I’m writing this article and illustrating it with DampRid, so that brand is now burned in my brain, and I’m not sure it would have been after only three exposures. Will I purchase it next time I’m at the store? Maybe. Will I switch to a commercial-free streaming experience soon? Maybe. But it feels like Hulu and other digital video providers are essentially bypassing the lab these days, and playing with fire running large-scale, live experiments on a dangerous topic: testing people’s patience. That’s a big bet.
And it can have far-reaching consequences for them, for their technology and programming partners, and for the brands that advertise with them. They might very well be ahead of the curve, but they’d better hope that the curve doesn’t go inverted on them!
First published in Mediapost MediaDailyNews (July 13, 2017).
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