Data Science & ML

JMAN’s advanced analytics and AI capabilities provide powerful Value Add and Defensive Analytics solutions, enabling organizations to automate decision-making in critical areas such as customer growth, cross-selling, lead scoring and forecasting. This empowers businesses to make agile, data-driven decisions that enhance their strategic initiatives.

What We Do

JMAN’s cutting-edge machine learning platforms transform how clients operate and engage with their customers. By utilizing modern ML technologies, we improve operational efficiency, drive innovation and help our clients maintain a competitive edge. With a strong emphasis on actionable insights, we enhance performance and strengthen customer relationships, paving a path for sustainable long-term growth.

What We Deliver

Lead Generation

By harnessing the power of external market insights and extensive client-specific data, we deliver advanced machine learning models that automatically discover high-potential business possibilities. This data-driven strategy, transforms lead generation, helping companies concentrate on the most promising prospects and achieve long-term growth.

Lead Scoring

Our intelligent scoring systems are developed using advanced machine learning-driven models, combining customer behavior data and real-time engagement metrics to empower businesses to prioritize their sales efforts, boost conversion rates and optimize resources by focusing on the most qualified leads.

Conversion Optimization

By utilizing advanced machine learning, we develop conversion optimization models that examine customer interactions and behavior to pinpoint key factors influencing conversions. This solution allows businesses to enhance their strategies, tailor customer experiences, and increase conversion rates by transforming insights into actionable opportunities, ultimately improving the return on their marketing and sales investments.

Upsell & Cross-Sell

Our innovative machine learning models for cross-sell and upsell leverage customer purchase history, behavior and preferences to predict the most relevant products and services for each customer. By delivering highly personalized recommendations, this solution enables businesses to unlock new revenue streams, enhance customer loyalty and maximize the lifetime value of each client with targeted cross-sell and upsell opportunities.

Y1 Retention

By assessing early behaviors and engagement of customers, our Year 1 retention models employ machine learning to identify new customers who may be at risk of leaving. This strategy specifically targets first-year customers, enabling organizations to respond quickly and enhance customer engagement.

Renewal Retention

We develop targeted renewal retention models that use machine learning to identify customers nearing the end of their subscription or contract. By analyzing usage patterns and engagement levels, these models help businesses understand which customers are at risk of not renewing. This proactive strategy enables timely interventions that encourage customers to continue their subscriptions, ultimately improving renewal rates and strengthening long-term customer relationships.
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Prep for Exit

Maximize valuation and de-risk transaction with robust, extensive and high-quality data
  • Does the target have the data assets required to drive value creation (including Al deployment)?
  • How do I get better data on my target and the wider market?

Value Creation

Accelerate Value Creation plan delivery using Data, Machine Learning & Gen Al
  • How do I use a data-driven approach to make my business more profitable?
  • How do I achieve as high a multiple as possible ?

Core Reporting

Track company performance and quantify value creation leavers with accurate real time data from automated systems
  • How can I get a real-time, detailed and consistent... view of my operational and financial metrics?
  • What is happening in our portfolio companies and across our fund?

Data Advisory

Balance short-term extraction of value from data with laying the right digital foundations.
  • How do I assess the maturity of my data foundations and value creation plan levers ?
  • How can I collaboratively create and deploy a roadmap of value-first initiatives that pay for future foundational investments?

Due Diligence

Understand target's market position and ability to execute their business plan
  • Does the target have the data assets required to drive value creation Including Al deployment ?
  • How do I get better data on my target and the wider market?