Consumers today are demanding more of their favorite brands - from offers tailored to their personal preferences to ways they can engage at the store, online and in social media. And those brands that do this well are rewarded with long-term customer loyalty and increased revenue.
So what's the secret to success? It's hyper-personalization. You need to engage and appeal to consumers with messages tailored uniquely to them.
But for many brands, their efforts at personalization are not going far enough. Using common characteristics - such as demographics, geography, psychographics, behavior and personas - to break customers into smaller groups does not guarantee that you'll be able to appeal to them on an individual basis.
These types of customer segmentation models fall short on many accounts. Messages and offers built for these broader segments often do not resonate well across the board, since they fail to take into account other distinctive factors that influence the individuals themselves.
Even microsegmentation, where brands break down customers to even smaller cohorts, does not result in the level of personalization consumers crave. Individuals in these more targeted groups will still receive the same offers or blanket discount on products, regardless of their underlying motivations or preferences, or what drives them to engage with the brand.
Microsegmentation has other inherent limitations as well:
It’s about one-to-one marketing
To get consumers' attention and gain their loyalty, you need to move beyond basic type of customer segmentation to true 1:1 personalization. This is not possible without the help of technology, specifically artificial intelligence (AI) and machine learning (ML).
AI and ML can help automate much of the manual work required by marketers, shaving months off the time it takes to launch a campaign and allowing them to continually fine-tune offers to spur consumers to action. These technologies also enable marketers to adjust variables to optimize offers with the best combination of incentives, increasing efficiency.
In a newly released white paper, we offer a deeper dive into the problems with macrosegmentation and microsegmentation when attempting to reach consumers on a personal level. We also share insights into how AI and ML are being applied to achieve true 1:1 personalization that improves the offers you deliver and boosts customer loyalty.
To learn more, download the white paper, "Where Segmentation Falls Short."
Learn more about the Formation hyper-personalization platform
Traditional types of customer segmentation fall short on many accounts. Many brands are using AI and ML to personalize offers with the best combination of incentives.
There’s a lot more to learn about one-to-one marketing. To continue your research, take a look at the rest of our blogs on this topic:
Why It’s Time to Push Beyond Customer Segmentation Models
Customer segmentation is a way to separate customers into groups based on certain shared characteristics. All customers share the common need of your product or service; beyond that, they possess distinct demographic differences (i.e., age, gender) and tend to have additional socio-economic, lifestyle or other behavioral differences that offer companies useful marketing insights.
However, brands need to move beyond basic customer segmentation models to tap the true power of personalization in their messaging or offers.
We have authored in-depth guides on several other hyper-personalization topics that can also be useful as you explore the world of customer segmentation.
Learn how one-to-one marketing can impact marketing effectiveness and your bottom line, and how brands are scaling personalization across digital channels.
See top articles in our one-to-one marketing guide:
Today, marketing is not just about customer acquisition but also retaining your biggest fans. And the best way is to increase customer loyalty through a loyalty program.
See top articles in our customer loyalty guide:
Learn about the importance of customer engagement, and get practical advice to build a customer engagement strategy that transforms customers into fans.
See top articles in our customer engagement guide:
If you’re a marketer, you probably aren’t too concerned about what’s “under the hood” of the martech tools you’ve adopted. You want it to be easy to use, and able to drive the results you expect – whether its creating and deploying offers, increasing engagement or improving sales.
See top articles in our AI for marketing guide: