3 Paths Toward Personalization

There are many ways to get to the personalization promise land. Here are three paths to consider.

Nowadays businesses are doing everything to reach consumers. From franchises going global to the digital age of online consumer opportunities, it’s underscored the importance of personalization.  

As described in a related CMSWire article by Alan J. Porter, “Personalization means using audience and data analytics to meet the individual needs of a consumer.” 

In this article, we’ll discuss geo-location, product recommendations and Customer Data Platforms (CDPs) as three ways brands can improve customer personalization.

Related Article: What Do You Mean By Personalization?

Why Geo-Location Is Essential to Success

The first thing any company should do is identify with some consumer data where your audience is located, along with gender and age, preferences and timezone. This would give you enough information to understand your consumers as not just a number. 

David M. Wallace, research director at IDC, said using geo-location helps identify a target audience and serve them with the right content. “For the customer, receiving a communication from a brand they already know proves the brand understands their needs and the offers communicate … increased convenience and saved time,” Wallace said. “For the brand, it’s an opportunity to convert interest (browsing) to purchase (revenue and profits) more rapidly while also delivering products, services or experiences that customers are already interested in from their browsing behavior.  And, it’s not viewed as creepy because the customer has already opted-in by signing up with the brand and by installing either the brand’s app or a third-party app for making reservations at restaurants.” 

Related Article: Where Does Location Tech Fit in CX Roadmap?  

CDP Is the Statistical Tool of Consumer Retention 

A Customer Data Platform is a collection of data in the form of a unified dataset that reflects single customer profiles. It’s cleaned, maintained and organized data all structured and stored as a marketing system. 

Data for a CDP gets collected from various sources from mobile apps, websites, surveys and customer services, to name a few. Then these data entries will be formulated and analyzed to produce a system that matches their target audience. Advertising, emails, CRM, etc. all take into account your consumer data from their CDP. 

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