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Braniac Consulting INC - Where Brilliance Meets Business.

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Improved Lead to Opportunity Conversion

Discover how our client, a major public sector financial services company boosted its lead-to-opportunity conversion rate by 35% using predictive lead scoring. 

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68%

Improved Sales Efficiency

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35%

Increase in Lead-to-Opportunity Conversion

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612

Total Enhanced Customer Insights

The Story

At Brainiac Consulting, we specialize in delivering cutting-edge solutions tailored to our clients’ unique needs. One of our notable success stories involves our work with  a major public sector financial services company that saw a 35% increase in their lead-to-opportunity conversion rate by implementing our predictive lead scoring system.

About-min
The Challenge-min
Innovative-solution-min

Objectives: Making strategic use of Data

  • Develop a sophisticated lead scoring model.
  • Synthesize data from multiple systems.
  • Deploy a machine learning model within 60 days.
  • Boost lead-to-opportunity conversion rates.
Testimonial 1-min
Implementation Process

IMPLEMENTATION PROCESS

“We synthesized data from eight systems, developed a machine learning model using clustering ,gradient boosted trees, and grid search and integrated it with Eloqua to generate propensity scores.”

01 Data Integration

Combined data from CRM, ERP, web analytics, and transactional databases.

02 Model Development

Used clustering, gradient boosted trees, and grid search algorithms to predict purchase intent.

03 Propensity Scores

Generated scores were integrated into Eloqua for enhanced lead management

04 Rapid Deployment

Completed the entire process within 60 days.

Testimonial 2-min

Quantitative Outcomes:

  • 35% Increase in Lead to Opportunity Conversion: The new Lead scoring model significantly improved conversion rates, driving a 35% increase in lead to opportunity conversions
  • Efficient Lead Management: The integration of propensity scores into Eloqua allowed for more targeted and efficient lead nurturing.

Qualitative Outcomes:

  • Enhanced Predictive Capabilities: The machine learning model provided a more nuanced and accurate understanding of lead behavior and purchase intent
  • Streamlined Lead Management: The lifecycle framework ensured leads were managed efficiently and effectively.

Conclusion

By leveraging predictive analytics and machine learning, we transformed the client’s lead scoring model, significantly improving their ability to predict and act on purchase intent.

Want to dive deeper into this transformation? Download the full case study for an in-depth look at how advanced analytics can revolutionize your lead scoring model. Fill out the form to get your copy now

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