Insight

Data driven growth

Turbo charge your revenue growth with data science and machine learning

Leading technology companies are now able to leverage their data by exploiting advances in data science to transform how they market, sell and retain customers. Early adopters can accelerate profitable growth and outpace competition using five leading practices. This white paper provides tangible case examples of business impact that leading technology companies are achieving right now.

Data-driven marketers use machine learning to turbo-charge demand generation and develop multi-touch attribution models that provide more accurate insights into how individual marketing investments drive revenue. In addition, these advanced techniques can prioritize the most qualified leads by improving lead scoring. 

Sales teams use machine learning to increase cross sell and upsell revenue by more accurately predicting a customer’s future purchasing decisions and propensity to buy. These insights can also reduce unnecessary discounting and help sales teams capture greater value from deals. 

Aided by machine learning, customer success teams can finally scale effectively and be proactive rather than reactive to potential churn situations. Combining a 360o view of the customer with predictive analytics, churn algorithms can provide an ‘early warning system’ for customer churn risks, enabling customer success teams to increase retention and renewals. 

The following leading practices can further enhance performance:

  • Establish a virtual collaboration loop between field teams and data scientists
  • Apply an agile approach to quickly move up the learning-curve
  • Build an appreciation for predictive insights in the field teams
  • Work with the data you already own, while moving in parallel to fill gaps
  • Think big but start small—and transition to a broader change program when transformation opportunities arise

Data-driven growth

Turbo charge your revenue growth with data science and machine learning

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