CrowdTwist ― advanced analytics enables CrowdTwist to maximize channel engagement

Customer Success

Pythian helps CrowdTwist drive engagement through analytics.

A loyalty program company needed to better deliver on its engagement solutions. Pythian’s data science team used advanced analytics to deliver a solution.

Overview

CrowdTwist’s multichannel loyalty and engagement platform is used by international consumer brands to drive new and existing customers to their company, while keeping them engaged throughout the customer journey. The flexibility of CrowdTwist’s technology delivers unique and memorable experiences that keep customers engaged with brands, while optimizing their interaction and revenue. 

CrowdTwist customers benefit from a team of dedicated resources who provide day-to-day management to ensure optimal performance and analysis of the multichannel platform. To better deliver on their engagement solutions, CrowdTwist wanted to improve the client experience with more visible information, a better variety of reports, and a balance between incentives given and the financial liability associated with them. 

Pythian data science team was engaged to assess the potential of their current dataset and build a model to determine how their users clustered together and distinguished from one another.

What we did

  • Built a user model, leveraging Facebook ‘likes’ and client IDs as distinct features that would reveal customer preferences
  • Provided insight into the optimal spend per channel for each user, which translated into actionable outcomes for the end client

Technologies used

  • Oracle
  • Hadoop
  • Amazon Redshift 
  • Advanced Analytics Services
  • Big Data Services

Key Outcomes

Pythian’s data science team was able to identify several predictive customer data factors. A refinement of the models found an optimal dollar-to-point conversion, an optimal activity-to-point conversion, as well as other ways to optimize their loyalty programs. 


Optimized loyalty programs with improved customer data segments and streamlined reports

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