Customer Segmentation in the Gluten Free Diet Foods Segment: A Customer Analytics Case Study by Quantzig
Customer Segmentation Analysis Benefits If you are familiar with the concept of customer segmentation analysis, you should be quite clear that there is no one size fits all approach. The approach and the adopted customer segmentation models vary from industry to industry depending on their end goal and future objectives. What is even more fascinating […]READ MORE >>
Customer Segmentation Analysis Benefits
If you are familiar with the concept of customer segmentation analysis, you should be quite clear that there is no one size fits all approach. The approach and the adopted customer segmentation models vary from industry to industry depending on their end goal and future objectives. What is even more fascinating about customer segmentation analysis is that it enables organizations to cluster their customers. However, once the customers are clustered it becomes much easier for companies to target the customer segments with suitable marketing strategies.
Moreover, as you keep analyzing your customers, you will gain a clearer picture of your customer base, which, in turn, will enable you to segment your clientele into distinct groups. This is exactly what our customer segmentation analysis solutions are designed for.
Customer Segmentation Models for Food Industry Players
Personalization of the customer experience is a proven methodology to enhance sales and customer retention, but this would not be achievable without the implementation of appropriate customer segmentation models. Here are three such models for food industry players:
Segmentation based on touchpoint engagement: Customer touchpoints help reveal a lot about customer behaviors. It also helps retain customers by examining their post-purchase behaviors and how they interact with your business on a regular basis. This model is widely adopted across industries and basically revolves around the study of different touchpoints that your customers have with your business after their initial conversion.
Segmentation based on customer goals: This model is the end result of examing multiple data sources including information related to geography, demographics, and customer behavior. Information gathered from each of these data sources are then categorized into wider profiles that are centered around the specific goals of customers.
Segmentation based on purchasing patterns: Attracting customers with the right offer at the right moment is the basic strategy to enhance sales. Segmentation models based on purchasing patterns of your customers enable you to easily spot purchase patterns using which you can further devise profiles for segmentation. Moreover, gaining detailed insights into when, what, and how your customers interact with your brand will empower you to build predictive models for the future.
The client wanted to leverage our expertise in customer analytics to devise strategies to engage with their customers in the most effective way. Through this engagement, the gluten free diet foods manufacturer wanted to focus their marketing efforts on specific subsets of customer segments rather than the broad universe of potential customers.
The customer segmentation analysis solution enabled the client to implement suitable customer segmentation models to divide the potential customers into discrete sub-groups. The value-based approach enabled the client to clearly define and target the best prospects while satisfying the needs of each segment.
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