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How can personalization and data privacy co-exist?

The cookie apocalypse rolls on, threatening our personalization and targeted ad efforts.

Google said it will block third-party cookies in Chrome soon, and that it won’t support any of the industry proposals for replacements.

This is something I predicted in my book Marketing Rebellion. Any time marketers take advantage of consumers, the consumers will revolt, and they will eventually win. The privacy moves by Apple and Google are simply a response to the inevitable.

There’s a lot at stake — online advertising is a $300 billion business and it pays for half the web!

My friends at SoloSegment recently produced an exceptional research piece addressing this issue and it’s a must-read for digital marketers. The research not only lays out the problem, it proposes a practical solution — predictive personalization. (I am an unpaid advisor to Solo Segment and was not paid for this post).

The threat is imminent

A few highlights from this research report:

Now comes the tricky part. In 2020, 76 percent of B2B buyers said they have increased expectations around personalized and tailored online solutions. Of course they do! Studies also indicate that providing personalized website experiences can increase sales by 19 percent.

How can we possibly meet these expectations … without collecting data?

Anonymized personalization

As marketers, we’re expending enormous efforts to draw people to our websites. There is an urgent need for web conversion excellence, especially now that so much of the selling effort is occurring online.

Luckily, technology is saving the day. It IS possible through Artificial Intelligence to provide tailored, respectful personalized experiences without collecting personal information.

Predictive analytics is now being employed in sports, entertainment, and scientific endeavors. Through Solo Segment, it’s now available for your website, too.

The company’s AI-powered website engagement technology can use anonymous information (such as location, device, historical behavior, and referral source) to identify visitor intent, the potential to purchase, and more.

Armed with this information, companies can automate and optimize content, workflows, and engagement opportunities that are personalized to a potential buyer. And with machine learning, the process improves over time, resulting in better conversion rates.

What’s more, the anonymous data leveraged by this technology will never be regulated and ensures
you are offering the right content to the right visitor at the right time.

The SoloSegment product, GuideBox, incorporates predictive personalization so users find exactly what they need before they know they need it. It accelerates content discovery and enables effortless navigation — the website does all the work behind the scenes.

There do not seem to be a lot of workarounds to the cookie apocalypse which is why I’m excited by this idea, which is now being applied at many companies with immediate results.

I recommend you learn as much as you can right now to prepare for the new marketing era right in front of us, and a good place to start is the SoloSegment research report.

Mark Schaefer is the executive director of Schaefer Marketing Solutions. He is the author of several best-selling digital marketing books and is an acclaimed keynote speaker, college educator, and business consultant.  The Marketing Companion podcast is among the top business podcasts in the world. Contact Mark to have him speak to your company event or conference soon.

The illustration for this post is an image I had commissioned for the book Marketing Rebellion.

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