Advanced analytics from Pythian improves CrowdTwist’s loyalty program outcomes

Posted in: Business Insights

CrowdTwist provides a SaaS based omni-channel loyalty and analytics platform that is designed to allow marketers to acquire, engage and retain customers. They power the most innovative and engaging loyalty programs in the market today.

The platform is used internationally by consumer brands to drive new and existing customers to their company with the intent of keeping them engaged throughout the customer journey.

Consumers have high expectations when it comes to loyalty programs, the rewards need to be relevant and have advantages to keep the consumer engaged. It is crucial for CrowdTwist to collect, analyze and use the data they collect from their customers so they can learn, understand and strengthen their customer relationships.

CrowdTwist wanted to improve the client experience with more visible information, better reports and a balance of incentives given and financial liability.

Pythian’s Data Science team assessed the current dataset and built a model to determine how users clustered together could be distinguished from one another. Cluster analysis was provided offering advanced analytics into optimal speed per channel per user.

Using predictive analytics, Pythian was able to translate actionable outcomes with measurably improved customer data segments, streamlined reports all resulting in a better client experience with the loyalty and engagement platform overall.

Read the full case study here to learn more. 


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