How a billion-dollar software company can double conversion rates with an Analyzr propensity model

Challenge

  • Lack of transparency: The scores were based on a black box approach, and Acme’s sales leaders were not willing to commit resources without understanding the underlying methodology.
  • Canned approach and outcomes: The scores were derived using a generic approach that wasn’t tailored to Acme’s needs, predicting likelihood for a lead to create an opportunity, rather than likelihood that an account would lead to a closed won deal.
  • Lack of integration with CRM and sales process: With recent acquisitions there was no integrated end-to-end process to expose and leverage account scores with the sales team.

Solution

Results

How can we help?

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Analyzr makes machine learning analytics simple and secure for midmarket and enterprise customers that may not have a full-fledged data science team

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Analyzr: Insights, Achieved

Analyzr: Insights, Achieved

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Analyzr makes machine learning analytics simple and secure for midmarket and enterprise customers that may not have a full-fledged data science team