Driving Sales Operations and Revenue Growth

INDUSTRY

MarTech

BUSINESS CHALLENGE

The client develops sales growth tools and helps create a sales force through technology, process, training, and sales team design. Their prime focus was to improve lead prospecting and follow-up to raise sales conversion rates for their customers.

  • Historical data had to be leveraged to understand the user behavior for new prospects and follow-ups. The client wanted us to use this data to improve the overall sales numbers.
  • Their transactional system generates extensive operational data in diverse formats, hindering correlation and actionable insights.
  • Our goal was to unify and expose the data uniformly to ensure streamlined accessibility and generate valuable insights.
OUR SOLUTION

We enhanced data pre-processing and cleansing using the domain knowledge of the client's business, filtering out unnecessary data points and focusing more on the important metrics.

  • Instead of using one model, we trained several models regularly, compared the results, and picked the best one.
  • We used machine learning on top of the data generated by details of the pitch of sales executives to improve lead targeting.
  • We created a central repository of all the data generated by the client as well as consumed from third-party vendors to be leveraged for discovering use cases.
Technologies:

Machine Learning | Python | AWS | AWS S3

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