AI/ML Personalization Drives $150K New Revenue in 4 Months for Financial Services Client — Scalable CRM, Improved ROI & Stronger Executive Relationships

Industry: Technology, AI, CX

Client

Multinational Financial Services Provider

Goal

To establish a dedicated technology and customer experience practice within MRM, leveraging AI and ML solutions to enhance client outcomes and drive new revenue growth.

Challenges

  • Fragmented Data Systems – Disconnected customer and marketing data limited visibility and integration.
  • Inaccurate Attribution – Difficulty in tracking and measuring campaign effectiveness across multiple channels.
  • Inefficient Marketing Spend – Limited insights hindered the ability to optimise budgets and ROI.
  • Lack of Actionable Insights – Existing tools did not provide the depth of analysis needed for data-driven decisions.

Solution

AI/ML Proposition Development – Designed and introduced innovative AI and machine learning solutions tailored to client needs.

Personalization Strategies – Implemented data-driven personalization to enhance customer engagement and marketing effectiveness.

CRM Optimization – Strengthened customer relationship management systems for improved targeting and retention.

Data Solutions Implementation – Consolidated and leveraged client data to drive actionable insights and decision-making.

AI-Driven Marketing Delivery – Led teams in executing successful AI-powered and personalized campaigns.

Executive Stakeholder Engagement – Built and maintained strong relationships with senior client leaders to ensure alignment and adoption.

Impact:

$150K in New Revenue Generated – Achieved within four months through new AI/ML-driven propositions.

Enhanced Customer Engagement – Delivered personalization solutions that drove measurable improvements in client engagement.

Strengthened Executive Relationships – Built trust with CMOs and CIOs, reinforcing strategic partnerships.

Market Leadership Positioning – Elevated MRM’s reputation as a leader in AI-powered marketing and customer experience.

Improved Client ROI – Enabled more efficient, data-driven marketing strategies that maximized return on investment.

Scalable AI/ML Frameworks Established – Created reusable models and solutions to accelerate future client engagements.

*Case studies reflect work undertaken by our Heads of AI either during their tenure with Head of AI or in prior roles before they were part of the Head of AI network; they are provided for illustrative purposes only and are based on conversations with our Heads of AI.