CASE STUDY

Customer Analytics for a Leading Mobile Apps Developer Helps Assess Customer Usage Patterns

Oct 30, 2017

Today, with the help of mobile applications, customers are well-informed about new product launches and their specifications and are looking for solutions that are more user-friendly and less expensive. Also, with the growth of technologies, the process of interaction is confined to mobile phones. To understand the influence of mobile applications and its impact on customers, leading mobile apps providers are conducting a customer analytics solution. Customer analytics helps developers in the mobile apps space understand customers buying behavior and their habits and preferences. Furthermore, the solution allows developers to predict the customers buying actions in the future. In addition, with the help of customer analytics, mobile apps developers can assess the customer’s needs and desires and create a personalized experience to drive business loyalty.

To target the right customers and provide highly relevant offers, leading developers in the mobile apps space are approaching companies like Quantzig. With years of expertise in offering a plethora of services, Quantzig’s customer analytics solution helps businesses better engage with customers and predict which customers are at the risk of churn. Also, the solution can help businesses strategize their resources to target the right customers, at the right time in the mobile apps space.

The Business Challenge

A renowned mobiles apps developer with a considerable number of offices spread across the globe was facing certain predicaments assessing the customer usage patterns. The client wanted to seek ways to predict customers’ loyalty and develop new mobile apps to target the right audience. Furthermore, the client also wanted to identify the emerging trends in social media and leverage innovations to improve customer experience. The primary objective of this engagement was to provide relevant, personalized up-sell and cross-sell offers to the client.

Customer Analytics Solution Benefits

By analyzing all the data using customer analytics, the client was able to acquire, retain, satisfy, and engage customers proactively. Furthermore, the customer analytics solution helped the client identify and profile the most profitable customer segments and effectively tailor marketing and communication efforts. Also, the analysis helped the mobile apps developer seek ways to improve the strength of relationships and the value of the customer. Also, the mobile apps client was able to assess the usage patterns of the customer and improve their digital experience.

Customer Analytics Solution Predictive Insights:

  • Gain relevant insights into the competitors in the mobile applications space
  • Effectively continue to serve the existing customers, prevent attrition, and build strong relationships
  • Anticipate the customer demand and offer relevant applications to the customers with the help of customer analysis
  • Target prospects with similar attributes and offer personalized experiences
  • Improve marketing campaigns and enhance brand loyalty

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