Fortune 1,000 FinTech Company

Industry: Technology / Software
Department(s): Product, Marketing, Customer Service, Human Resources

Use Case(s): Customer Acquisition, Customer Retention, Product Management, Human Resources

This company uses Stratifyd to collect data in near real time through third-party systems and NPS surveys. They identify feature trends and emerging topics from the customer feedback and their product team uses these insights to enhance their software. Their marketing team then uses these insights to develop targeted messaging for campaigns. Their human resources team analyzes employee feedback from internal surveys and an internal support ticketing system.

Leadership

Challenge:

  • Product managers had difficulty identifying customer pain points and prioritizing new feature requests
  • They had no way to quickly and accurately analyze customer feedback and share with business units before the data became irrelevant

Solution:

  • Stratifyd helps automate the extraction of insights using unsupervised machine learning
  • Stratifyd enables self-service analytics for product managers

Results:

  • Improved customer experiences
  • Increased customer retention
  • Faster implementation of customer feedback through product enhancements

Analyst

Challenge:

  • Difficulty maintaining taxonomy models
  • Making changes was time-consuming and hindered gathering net new insights
  • Small team of analysts and limited access to previous analytics solution
  • Internal data requests took days to process

Solution:

  • Stratifyd's machine learning enables them to quickly execute ad hoc analysis
  • Stratifyd also enables them to maintain and enhance the back-end taxonomy

Results:

  • Decreased time spent on data analysis
  • Increased time spent on more strategic analytical projects
  • Increased analysts' ability to take action on insights **