FDM’s data-driven insights, industry expertise, and prescriptive analytics empower our clients to better understand which products are selling, at what price and the why behind the buy

What is selling?

MILLIONS OF POINT-OF-SALE DATAPOINTS RECEIVED EXCLUSIVELY FROM EVERY MAJOR UK TELCO.

FDM’s reputation for unrivalled data quality and granularity is driven by its industry leading point-of-sale datasets, which provide the most accurate view of UK Telecoms market share and brand performance measurement.

This enables clients to stay ahead of market fluctuations, optimise product portfolios, and drive sales efficiency by pinpointing where to sell, at what price, and under which promotional strategy.

At what price?

WIDELY RECOGNISED AS THE INDUSTRY AUTHORITY.

FDM’s best-in-class 10-year pricing database is utilised by over 20 UK telecoms providers including 5,000+ industry leaders and 25,000+ contact centre agents.

This data powers pricing claims across the sector within direct marketing, financial results, investor relations and regulatory publications.

FDM’s human-led methodology captures 100% of available KPIs to guide pricing and promotion strategy with more granular data and accurate recommendations. This is why FDM are trusted by global manufacturers to audit brand consistency, prominence, and positioning (Share of Voice).

Why behind the buy

FDM’s prescriptive analytics utilise proprietary data, an expert-led methodology, and an innovative approach to create trusted, actionable and forward-looking insight.

FDM’s market demand forecasts (Think Market) consider the impact of historical offers to actual market performance to help define optimal pricing strategies and to drive revenue growth.

FDM are also relied upon to provide its expert analysis of quarterly financial results; rigorously standardising available performance indicators to form insightful market forecasts.

Who we
work with

Trusted by leading brands

Manufacturers, Price Comparison Websites and Every Major UK ISP & Mobile Network Operator