Dunnhumby scorecard

Company Overview

Dunnhumby is a BPO company, founded in 1989, with approximately 1,001-5,000 employees. They specialize in Sales & Marketing. They serve the E-commerce & Retail industries.

 We bring together AI, data science, deep insight, and a collaborative approach to help brands and retailers connect with customers in a changing world. Spanning over three decades, we’ve led the industry with a distinctive approach. Customers expect seamless, personalised experiences at every step. That’s where our difference matters. We serve as the intelligence layer, helping you reach your customers by turning complex data into confident decisions.

Executive summary

Brand Profile: Voice: clear. Voice: expert. Voice: collaborative. Voice: data-driven. Tagline: Customer Data Science for Retailers & Brands. Client Value Proposition: Summary: dunnhumby’s public value proposition is to help retailers and brands use customer data science to improve customer understanding, personalize experiences, and make better commercial decisions.. Value Points: Title: Grow loyalty and personalization. Value Points: Description: Supports loyalty and personalization programs designed to deepen customer relationships.. Value Points: Title: Improve commercial performance. Value Points: Description: Uses analytics across pricing, promotions, assortment, and customer strategy to support sales and margin decisions.. Value Points: Title: Activate retail media and insights. Value Points: Description: Connects shopper insights and retail media capabilities to help brands and retailers reach customers more effectively.. Company Overview: Tagline: Customer Data Science for retailers and brands.. Highlights: Public site positions the company around customer data science for retailers and brands.. Highlights: Public materials indicate a global presence and a retail-focused offering set.. Highlights: The company announced a CEO transition in May 2026, effective July 2026.. Description: dunnhumby is a customer data science company focused on helping retailers and brands use customer data, analytics, and personalization to improve business performance.. Competitive Differentiators: Differentiators: Title: Customer data science positioning. Differentiators: Description: The company brands itself around customer data science rather than generic analytics, emphasizing customer-first decisioning.. Differentiators: Title: Retail specialization. Differentiators: Description: Its offering set is tailored to retailers and brands, including pricing, promotions, assortment, loyalty, and retail media.. Differentiators: Title: Leadership and product breadth. Differentiators: Description: Public leadership structure includes roles spanning product, technology, data science, and retail media,

Strengths

• Brand Profile: Voice: clear. Voice: expert. Voice: collaborative. Voice: data-driven. Tagline: Customer Data Science for Retailers & Brands. (public_web; observed 2026-08-24)
• Client Value Proposition: Summary: dunnhumby’s public value proposition is to help retailers and brands use customer data science to improve customer understanding, personalize experiences, and make better commercial decisions.. Value Points: Title: Grow loyalty and personalization. Value Points: Description: Supports loyalty and personalization programs designed to deepen customer relationships.. Value Points: Title: Improve commercial performance. Value Points: Description: Uses analytics across pricing, promotions, assortment, and customer strategy to support sales and margin decisions.. Value Points: Title: Activate retail. (public_web; observed 2026-08-17)
• Company Overview: Tagline: Customer Data Science for retailers and brands.. Highlights: Public site positions the company around customer data science for retailers and brands.. Highlights: Public materials indicate a global presence and a retail-focused offering set.. Highlights: The company announced a CEO transition in May 2026, effective July 2026.. Description: dunnhumby is a customer data science company focused on helping retailers and brands use customer data, analytics, and personalization to improve business performance.. (public_web; observed 2026-08-12)

Gaps

• The reviewed public sources do not establish buyer-specific service levels, staffing commitments, or acceptance criteria for a defined scope. (public_web; observed 2026-08-12)
• The reviewed public sources do not establish a buyer-specific continuity design, recovery objective, security schedule, or named delivery team. (public_web; observed 2026-08-15)
• The reviewed public sources do not provide directly comparable commercial terms and independently verified outcomes for a like-for-like engagement. (public_web; observed 2026-08-17)

Firmographics

GB100 score

Overall score: 54

• egs: 45.5
• growth: 56.5
• reputation: 54.3
• ai_readiness: 50
• market_footprint: 52.2
• digital_readiness: 62.8

Scores are calculated from published evidence and the current GB100 methodology; payment does not affect rank.

Services and operating scope

Dunnhumby's structured service taxonomy includes Sales & Marketing. Competitive Landscape: Competitors: Name: 84.51°. Competitors: Evidence: Retail customer data science and analytics provider in the same market category as dunnhumby.. Competitors: Relationship: direct. Competitors: Name: NielsenIQ. Competitors: Evidence: Retail and consumer measurement/analytics provider overlapping with dunnhumby's customer insight and market analytics space.. Competitors: Relationship: direct. Competitors: Name: Kantar. Competitors: Evidence: Data, insights, and consulting provider competing in customer and market intelligence.. Competitors: Relationship: direct. Competitors: Name: IRI. Competitors: Evidence: Retail and CPG market measurement and analytics competitor.. Competitors: Relationship: direct. Competitors: Name: Blue Yonder. Competitors: Evidence: Retail planning and analytics platform adjacent to dunnhumby's retail decision-support category.. Competitors: Relationship: adjacent. Competitors: Name: Teradata. Competitors: Evidence: Enterprise data and analytics platform adjacent to dunnhumby's data science offerings.. Competitors: Relationship: adjacent. Positioning: A customer data science company focused on helping retailers and brands make better decisions using customer data, AI-driven science, and deep retail expertise.. Market Signals: Official messaging centers on helping retailers. Hiring & Workforce Signals: Open Positions: Title: Category Management Senior Client Lead. Open Positions: Location: London. Open Positions: Seniority: Senior. Open Positions: Department: Client Team. Open Positions: Title: Insights Analyst Associate. Open Positions: Location: Cape Town. Open Positions: Seniority: Associate. Open Positions: Department: Client Team. Open Positions: Title: Measurement Strategy - Senior Manager. Open Positions: Location: London. Open Positions: Seniority: Senior Manager. Open Positions: Department: Client Team. Open Positions: Title: Senior Insights Sales. Open Positions: Location: London. Open Positions: Seniority: Senior. Open Positions: Department: Client Team. Open Positions: Title: Shopper Insights Client Associate. Open Positions: Location: Mexico City. Open Positions: Seniority: Associate. Open Positions: Department: Client Team. Open Positions: Title: Shopper Insights Client Associate. Open Positions: Location: Bentonville. Open Positions: Seniority: Associate. Open Positions: Department: Client Team. Open

Geography

Countries listed in the structured record include -. Key Firmographics: Founded Year: 1989. Sectors Display: Retail. Sectors Display: Brands. Sectors Display: Consumer goods. Sectors Display: Retail media. Sectors Display: Data science/analytics. Headquarters Display: London, United Kingdom. Employee Count Display: Approximately 2,700-3,000 employees (public third-party estimates vary). Ownership Type Display: Private company; acquired by Tesco in 2001. Executive Summary: Summary: dunnhumby is a private, retail-oriented customer data science company headquartered in London, serving retailers and brands with analytics, loyalty, personalization, and retail-media-related solutions.. Financial Health: Overall Health: unknown. Leadership & Executives: Executives: Name: Jamie Samaha. Executives: Title: Chief Executive Officer. Executives: Name: Gaby Appleton. Executives: Title: Chief Product Officer. Executives: Name: Rob Bliss. Executives: Title: Chief Financial Officer. Executives: Name: Dave Clements. Executives: Title: Chief Strategy Officer. Executives: Name: Ben Burdsall. Executives: Title: Chief Technology Officer. Executives: Name: Robbie Dagger. Executives: Title: Chief People Officer. Executives: Name: Sandra Stanley. Executives: Title: Chief Data Science Officer. Executives: Name: Sarah McCarthy. Executives: Title: Chief Legal and Risk Officer. Executives: Name: James Tamblyn. Executives: Title: Managing Director - EMEA & APAC. Executives: Name: Tash Whitmey. Executives: Title: Group Managing Director - Tesco Retail Media. Pricing & Engagement: Summary: No public pricing or commercial engagement model details were verified from the available sources.. Recent News: Articles: Date: 2026-05-22. Articles: Title: dunnhumby announces leadership transition as Jamie Samaha appointed Chief Executive Officer. Articles: Source: dunnhumby. Articles: Summary: The company announced Jamie Samaha as CEO effective 20 July 2026.. Articles: Date: 2026-05-06. Articles: Title: dunnhumby recognised by Forrester as loyalty services Notable Provider. Articles: Source: dunnhumby. Articles: Summary: The homepage highlighted recognition by Forrester as

Methodology

Dunnhumby's BPOIndex scorecard is assembled from public, attributable evidence rather than vendor-submitted marketing claims or a paid-placement package. The research pass reviewed 104 distinct source URLs and retained 105 substantive facts or company sections with direct citations. Each retained observation is tied to the page where it was found and to the date on which that page was observed. Information that could not be traced to a reviewed public source was left out. This distinction matters because a provider's website may describe broad capabilities without publishing buyer-specific service levels, staffing commitments, commercial terms, delivery capacity, or independently comparable outcomes. Collection and publication are separate. Collection discovers public pages, records evidence, and builds structured sections for company background, services, delivery footprint, operating signals, and credentials. Publication includes only substantive observations carrying an HTTP citation. The strengths below identify areas where the provider has published inspectable information; they are not guarantees of quality, price, security, or fit. Evidence gaps are questions the reviewed sources did not answer at a buyer-specific level, not negative claims about the provider. Peer links are navigation aids from other canonical BPOIndex profiles, not a claim that every company is identical in size, geography, specialization, or commercial model. Buyers should compare the underlying service taxonomy, locations, evidence, and current score dimensions. Confirm scope-specific service levels, named delivery sites, staffing assumptions, security controls, continuity plans, pricing units, minimum commitments, and referenceable outcomes directly with the provider. The observed dates show when evidence was collected. Later enrichment can add newly published sources, but unsupported inference, duplicate shells, and generic filler do not qualify a page for indexing.

Read the full GB100 methodology

Coverage gaps

• Insufficient public evidence for headquarters coverage.

Services

• Sales & Marketing

Industries Served

• E-commerce & Retail

Contact

Website: http://www.dunnhumby.com/

Email: infonorway@dunnhumby.com

Phone: 44 20 3986 5499

Frequently Asked Questions

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