Technographic
Technographic segmentation categorizes customers based on the technology they use, helping mobile marketers optimize mobile advertising campaigns based on the specific OS or device.
Advanced segmentation tools use machine learning and consider the above-mentioned models to create high-quality segments. A holistic approach to segmentation involving multiple segmentation models is vital, as it allows businesses to form the most precise segments. It will determine the success of all further marketing campaigns.
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Let’s take a look at the process of creating an effective app user segmentation strategy that will enable you to target and engage every mobile audience with precision.
Define your goals
You may need to segment your audiences to adjust messaging or channels, or even create completely different marketing campaigns for every custom audience. It is crucial to understand what is the goal of user segmentation. So, identify what you plan to achieve, like improving targeting, personalization, or increasing customer engagement. It’s vital that your objectives align with your overall business strategy.
Collect and consolidate data
You need to gather comprehensive customer data to get quality segments. You can use various sources to get this data, such as customer databases, CRM systems, analytics, transaction records, and even customer surveys. Every piece of information can come in handy, for example, demographic data, purchase history, browsing behavior, engagement patterns, and other relevant data points. Ensuring proper data organization and accessibility often involves processes like Business Central Implementation to streamline data management effectively.