Problem Statement
Our client, a fast-growing SaaS company offering a suite of CRM tools, had seen a steady influx of leads, averaging 2,500 new leads per month, and maintained a customer base of over 10,000 users. However, despite this growth, they struggled to optimize their lead conversion rate, which hovered around 12%, far below the industry benchmark of 20%.
Additionally, their average Customer Lifetime Value (CLTV) remained at $1,200, with significant room for improvement given their pricing structure and market potential. A major challenge had been accurately predicting churn, with their models only achieving 60-65% accuracy, leading to reactive rather than proactive retention strategies.
Key Challenges
- Low Lead Conversion Rates lacked the ability to analyze historical lead data.
- Limited Upselling and CrossSelling struggled to identify the right opportunities.
- Churn Prediction was difficult to predict which customers were at risk of churning.
Solution Implemented
- Lead Conversion Optimisation
- Upselling and Cross-Selling Enhancement
- Churn Prediction and Prevention
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