Predictive Lead Scoring & Conversion Optimization for a B2B SaaS Provider

Client Background

Our client is a fast-growing B2B SaaS company offering cloud-based workflow automation tools for enterprise clients in North America and Europe. With a rapidly expanding user base, they were looking to optimize their sales funnel and reduce wasted marketing spend.

Business Challenge

The client’s marketing and sales teams faced challenges identifying high-intent leads early in the funnel. Their existing lead scoring system was manual and based on basic demographic filters, leading to

  • Sales teams spending time on low-quality leads.
  • Missed opportunities with high-value prospects.
  • Inefficient allocation of marketing budgets.

The goal was to implement an AI-powered predictive lead scoring system capable of:

  • Analyzing behavioral patterns, engagement levels, and purchase history.
  • Predicting which leads were most likely to convert.
  • Aligning marketing campaigns with sales priorities in real time.

Enjara Business Solutions Approach

Data Consolidation & Model Training
We integrated CRM, email marketing, and website analytics data into a unified data lake. Our AI engineers developed a predictive scoring model using machine learning algorithms, trained on historical conversion data and customer interactions.

Lead Prioritization Dashboard
We built a real-time dashboard that scored and ranked leads based on their likelihood to convert. The system automatically synced with the sales CRM, updating lead status dynamically.

Sales & Marketing Alignment
Automated workflows were introduced to trigger personalized outreach from marketing and sales teams when a lead crossed a certain score threshold. This ensured timely and relevant engagement.

Specialized Consulting Services

  • AI strategy and lead management framework design.
  • Integration of AI tools with existing SaaS platforms.
  • Ongoing model refinement for higher accuracy.

Value Delivered

  • Increased sales conversion rates by 44% in six months.
  • Reduced time spent on low-quality leads by 60%.
  • Improved marketing ROI by reallocating budgets to high-intent prospects.
  • Delivered a scalable predictive analytics system integrated with the client’s existing sales workflow.

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Locations

Headquarters: Atlanta Sales & Regional Offices: North America: New York, Toronto South America: Medellin Asia-Pac: Hong Kong, Ho Chi Minh, Manila, Singapore & Tokyo ME & N. Africa: Dubai Research & Development: Atlanta, San Jose & Taipei