Personalization is all the rage in digital marketing these days, and with good reason. As an industry, we’ve reached a point where the tools necessary to launch personalization campaigns are more accessible — and affordable — than ever.
But while technical challenges were always the most obvious roadblocks for organizations trying to get started with personalization, the fact that those problems are more easily surmounted now doesn’t mean it’s always easy to launch personalization efforts — and more importantly, to see compelling results from those endeavors.
Indeed, as with most important initiatives in digital marketing, the technical aspects, while important, are in some ways only the tip of the iceberg. In addition to having the right technology in your organization’s “stack,” successful personalization initiatives include:
- a clear view of what personalization is meant to achieve: what are you optimizing against?
- a rigorous, data-driven approach to audience segmentation.
- ongoing measurement to identify opportunities for refining your custom experiences.
- realistic goals.
So, if you’re thinking about taking the plunge and investing in one of the many robust personalization platforms out in the market, consider whether your organization has also addressed these key success factors.
How will personalization move your business forward?
On the surface, the business case for personalization is straightforward. If we can provide our visitors/users/customers with more relevant, useful experiences, they should respond by engaging more deeply, converting more often, and so on.
But is your business aligned on what “engagement” means and how it’s measured? What exactly is a “conversion,” and do all the necessary teams agree on that definition?
If the answer to those questions is something other than a clear “yes,” it makes sense to think about developing a measurement framework for your organization. This framework can serve as the foundation for all measurement and optimization-related initiatives.
By going through the process of laying this foundation, you’ll ensure that all internal stakeholders are on the same page in terms of what your KPIs are, why they’ve been chosen and how they’re defined.
Without a clear, coherent measurement framework, you’ll still be able to achieve “lift” through personalization, but these wins will be at least somewhat random, sporadic and unrelated to each other.
By contrast, when everyone is acting in concert, lift achieved via personalization tends to be bigger, more frequent, and a more effective input for future, sophisticated efforts.
In addition to building internal alignment on what personalization is meant to achieve, it’s crucial to have a robust approach to segmenting your audience. For most organizations, “personalization” doesn’t mean true one-to-one personalization.
Rather, personalization means the design of customized experiences that are intended to serve a segment of your audience, based on various attributes of that segment. So which segments should you target for your personalization efforts?
Marketers often start by focusing on a few key attributes of their audience, such as the device a person is using or the traffic source which brought the person to your site/app. This approach certainly can work — after all, it’s common for mobile users to behave differently from desktop users, or for people who came in from Facebook to behave differently from those who arrived via a Google search.
But that’s the key: differences in behavior. As a result, I like to focus more on a behavior-based approach to segmentation.
For example, imagine you have a page with a few different assets that users can interact with. Maybe you’ve got a video, a PDF download and a call to action that takes people to another page or to the shopping cart. I’ll start by grouping all the people who interacted with these three elements and then analyze what they look like.
Are the segments disproportionately composed of mobile users? Visitors who came in from organic search? People in a specific geographic region? In reality, starting with predefined attributes like channel and behavioral attributes like assets clicked can get you to the same place, but starting with the key behaviors helps me and my team know where to look for lucrative segments more quickly and efficiently.
In a recent personalization project for a client, my team found that visitors from the three largest sources of traffic preferred to interact with three different elements of a campaign landing page. By the following quarter, we were able to develop personalized experiences targeted to each of the three traffic sources. In these experiences, each traffic source’s preferred content was featured more prominently, with other content deprioritized.
Overall, the personalized experiences generated a 38 percent improvement in engagement, and 4.1x improvement in response rate to the page’s primary call to action.
Getting a personalization campaign off the ground can feel like a lot of work, so it might be tempting to use a “set it and forget it” approach to measurement, once you’ve launched. That would be a mistake!
Some opinions expressed in this article may be those of a guest author and not necessarily Marketing Land. Staff authors are listed here.
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