The question

Our client – a top 5 biopharma company – uses large teams to perform manual social listening, in an attempt to better understand their customers. They monitor conversations online to distil topics and content around a specific disease area.

OKRA was brought in to answer the following question:

“How can we automatically filter out noise from social media content and topics, with the highest possible level of accuracy?”

OKRA’s solution

  • Combines multiple data sources in one place
  • Creates multiple behavioural profiles
  • Learns and understands patterns
  • Automates listening based on these patterns

The results

Client before:

  • Time-consuming manual social listening
  • High-cost teams
  • Repetitive efforts across campaigns
  • Human bias resulting in inaccuracies

Client after:

  • Automating social listening process with a detection rate of 94%
  • Reducing the time spent by 74%
  • Reducing the volume of conversation to be manually reviewed by 76%
  • Allows for real-time instead of monthly insights
  • Filtering and segmentation accuracy of 94%
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