Every day brings us closer to the time when cookies aren’t an option for advertisers anymore. The news of cookies going away isn’t all bad, though. After all, cookies have their fair share of problems in terms of relevance for consumers. Just about everyone has a story like one of these:
- You buy something and then see ads for the item you’ve purchased all over the sites you visit for days or weeks.
- You buy a gift for someone—let’s say it’s your 10-year-old niece—and you start seeing ads related to that gift you have no interest in anymore.
- You’re a parent working full time and do searches at home related to your child’s needs and the ads follow you around while you work at the office.
Not ideal, is it? While research shows consumers want personalized ads, there’s a growing unwillingness to sacrifice personal privacy in the interest of a better experience with ads. And given that consumers haven’t been cool with cookies for a while now, the move to a cookie-free future—both regulatory (GDPR, CCPA) and corporate (Google, Apple)—is simply following consumer behavior.
Cookies aren’t ideal for targeting anyway
Since the early 2000s, behavioral targeting, driven by cookies, has become the accepted norm. The focus on behavior is about finding users based on what they’re doing online. In theory, this data gives advertisers what they need to deliver relevant ads. But there are challenges:
- User behavior can vary for reasons unknown to advertisers, which can skew data (searching for and buying gifts, personal interests vs professional interests).
- They don’t always accurately identify users, particularly when there’s a mix of browsers, devices, users, and even multiple users to contend with for tracking.
- Ad delivery decisions are based on past actions with no reliable way to prevent serving ads when the purchase has already been made or if it’s for the user being targeted.
- The connection from the advertiser to the consumer is lost when privacy-sensitive users delete or block cookies.
In each of these situations, the advertiser is at a disadvantage. The targeting is based on past actions that are no longer relevant or don’t fit the moment, showing how behavioral targeting falls short.
The evolution of advertising and contextual targeting
With the coming demise of cookies, alternatives like contextual targeting have been top of mind for advertisers who want to meet (or beat) the effectiveness of behavioral targeting.
Contextual targeting solutions combine safety (suitability), page signals, and targeting factors to give advertisers insights and flexibility to align ad placement decisions with their brand.
The use of contextual targeting is more valuable to the success and effectiveness of your advertising when you have a solid understanding of your audience, their interests, and needs. These insights give you the ability to find your audience in a privacy-friendly way, with a higher likelihood of engagement with the greater relevance.
While there’s a lot of talk about context and the future of advertising, contextual targeting is far from new, and neither is the use of machine learning to provide real-time data for advertisers—at least it’s not new at Peer39. We’ve been providing advertisers with machine learning-enabled, identity-free data since the beginning.
Elevate your advertising with the right context
As we march ever closer to the end of the cookie, questions about the value of behavioral targeting and its effectiveness are mounting—along with growing privacy concerns. The timing is good to start looking at better ways to deliver contextually relevant advertising so the right people are seeing your message in the right place and at the right time.