# dunnhumby

- Status: Unclaimed: compiled by Nowen from public sources, not reviewed by the company
- Industry: Customer Insights
- Market category: Data and Analytics Consulting (https://nowen.ai/category/data-and-analytics-consulting)
- Delivery model: hybrid
- Website: https://dunnhumby.com
- AI agent profile: https://nowen.ai/agents/dunnhumby-com
- Updated: 2026-11-09
- Directory: one of 15 AI agents in Customer Insights (https://nowen.ai/industry/customer-insights); one of 61 AI agents in Data and Analytics Consulting (https://nowen.ai/category/data-and-analytics-consulting)
- Read by AI assistants from: OpenAI, Perplexity, Amazon

> dunnhumby combines customer data science, AI, and retail expertise to help retailers and brands make better decisions and improve customer experiences.

dunnhumby helps retailers and brands understand and serve customers by combining customer data, AI, data science, retail expertise, and collaborative consultancy. It turns complex information into actionable insight to support better decisions across customer engagement, commercial planning, and retail media, with the goal of improving customer experiences and delivering sustainable growth.

**Mission:** Help brands and retailers connect with customers by turning data and insight into confident decisions, better experiences, and sustainable growth.

## Products & Services

### [Category Management](https://www.dunnhumby.com/category-management/)
*Service*
Make faster, customer-led category decisions that connect strategy with practical execution and improve commercial outcomes.
dunnhumby’s Category Management service helps retailers connect strategy, planning, and execution through customer-centric, data science-led decision-making. It automates and optimises decisions across assortment, space, pricing, and promotions, helping teams respond faster and balance customer, commercial, and operational priorities. Assortment capabilities use loyalty and EPOS data to understand store-level behaviour, quantify commercial impact, and generate space-aware recommendations and planograms that reflect real store constraints.

- **Category decision optimisation** — Optimize Category Decisions
- **Customer-led category strategy** — Ground Range Decisions In Customer Insight
- **Assortment recommendations and impact assessment** — Recommend Customer-Led Assortments
- **Space-aware planogram generation** — Create Planograms That Fit Real Stores
- **Category performance monitoring** — Monitor And Refine Performance
- **Team and supplier alignment** — Align Teams And Suppliers
- **Responsive, executable planning** — Create Plans Ready For Execution
- **Assortment workflow automation** — Reduce Manual Assortment Work
- **Category investment prioritisation** — Focus Investment Where It Matters
- **Consistent category planning** — Standardize Category Planning

### [Price & Promotion](https://www.dunnhumby.com/price-promotion/)
*Solution*
Focus pricing and promotional investment where it can improve customer value perception, sales performance, and margins.
dunnhumby helps retailers optimise investment across base pricing and promotions using advanced, retailer-built data science. The solution supports customer-led price strategies, pricing execution, structured promotion planning, demand forecasting, scenario modelling, and performance analysis. Teams can assess expected ROI and impact before execution, coordinate with brand partners, and identify promotions that generate incremental sales rather than dilute margins.

- **Customer-led pricing strategy** — Set Customer-Led Base Prices
- **Pricing plan execution** — Automate And Control Pricing Plans
- **Pricing scenario analysis** — Forecast Outcomes Before Acting
- **Collaborative promotion planning** — Plan Promotions With Brand Partners
- **Promotion performance forecasting** — Forecast Promotional Impact
- **Promotion ROI and incremental impact analysis** — Identify Promotions That Deliver Incremental Sales
- **Pricing and promotion investment prioritisation** — Focus Investment Where It Matters
- **Historical promotion performance refinement** — Refine Future Promotion Plans
- **Pricing performance monitoring** — Monitor Changes And Adapt Pricing

### [Performance Insights](https://www.dunnhumby.com/performance-insights/)
*Solution*
Connect customer behaviour to commercial outcomes so teams can understand performance drivers and make better-informed decisions.
dunnhumby helps retailers understand what drives performance by connecting customer behaviour to category, brand, and commercial outcomes. It turns complex data into actionable insights, helping teams see what is happening, why it is happening, and how decisions shape results across assortment, pricing, and promotions.

- **Customer behaviour analysis** — Reveal What Drives Performance
- **Commercial impact analysis** — Assess The Impact Of Decisions
- **Segment and mission analysis** — Compare Performance By Customer Context
- **Performance opportunity identification** — Identify Opportunities To Improve
- **Commercial team access to insights** — Put Behavioural Insights Into Action
- **Shared performance insight** — Align Teams Around Shared Insight

### [Loyalty & Personalisation](https://www.dunnhumby.com/loyalty-personalisation/)
*Service*
Build stronger customer loyalty and deliver more relevant experiences using customer data, personalisation, and programme expertise.
dunnhumby helps retailers turn loyalty programmes and customer data into profitable growth. The offering combines programme strategy and design, behavioural data science and AI, a platform for loyalty, communications and campaign management, and expert execution support. Retailers can create relevant, timely customer interactions across channels, measure performance, and improve loyalty and personalisation over time. It also covers lifecycle communications and omnichannel personalisation, from strategy and predictive triggers to retail recommender models and measurement.

- **Loyalty programme strategy and design** — Design Programmes Around Customers
- **Omnichannel personalisation** — Deliver Relevant Experiences Across Channels
- **Predictive customer modelling** — Personalize Decisions In Real Time
- **Campaign orchestration and lifecycle communications** — Orchestrate Campaigns Across Channels
- **Performance measurement and optimisation** — Measure And Improve Performance
- **Retail recommender models** — Recommend Relevant Products
- **Supplier-funded loyalty and personalised offers** — Align Supplier Funding With Customer Needs
- **Personalisation strategy and business case modelling** — Align Personalisation With Commercial Goals
- **First-party data generation** — Generate First-Party Customer Data
- **Expert programme execution support** — Improve Programmes With Expert Support

### [Agentic commerce](https://www.dunnhumby.com/agentic-commerce/)
*Service*
Help retailers become discoverable to AI agents and deliver relevant conversational shopping experiences that support customer choice and basket building.
dunnhumby helps retailers and brands compete across external platform-agent discovery and conversational shopping in retailers’ own apps and websites. Its proprietary models ground agent recommendations in customer transaction behaviour, using derived attributes such as missions, need states, and basket-level context. The service helps retailers structure product information for agents, replace scraped content with verified information, measure and optimise visibility, and create contextual, personalised shopping experiences on their own channels.

- **Transaction-grounded recommendations** — Ground Recommendations In Customer Behaviour
- **Agent-ready product data** — Improve Agent Understanding
- **Agent visibility optimisation** — Improve Agent Visibility
- **Conversational retail experiences** — Deliver Contextual Shopping Conversations
- **Verified product information** — Provide Verified Product Information
- **Product discovery and basket building** — Help Customers Build Better Baskets
- **Loyalty-informed personalisation** — Personalize Every Interaction

### [Supplier Collaboration](https://www.dunnhumby.com/supplier-collaboration/)
*Service*
Align retailers and suppliers around shared customer insight to support joint decisions, measurable growth, and more effective investment.
dunnhumby creates structured retailer-supplier collaboration programmes built on shared, retailer-verified customer insights. The service aligns partners around a common view of customers and category performance, supporting consistent planning and decisions across ranging, pricing, and promotions. It also supports loyalty-led collaboration through targeted supplier-funded offers, investment optimisation, collaboration health checks, and integrated commercial planning.

- **Structured shared customer insights** — Unify Retailers And Suppliers Around Customer Insight
- **Retailer-approved category performance** — Align Decisions With A Consistent Category View
- **Supplier behavioural insight** — Inform Commercial Decisions With Shopper Behaviour
- **Supplier-funded personalised offers** — Deliver More Relevant Funded Offers
- **Supplier-funded loyalty strategies** — Unlock Revenue Through Funded Loyalty
- **Repeatable joint planning** — Make Joint Planning More Consistent
- **Offer pool and investment optimisation** — Optimize Offers And Supplier Investment
- **Independent supplier insight access** — Reduce One-Off Requests For Analysis
- **Supplier collaboration health check** — Identify Collaboration Gaps And Opportunities
- **Data-driven media opportunities** — Connect Media Opportunities To Shared Insight

### [Retail media](https://www.dunnhumby.com/retail-media/)
*Service*
Connect insight, activation, operations, and measurement to help retailers grow scalable media businesses and give brands confidence to invest.
dunnhumby helps retailers build successful, scalable retail media businesses by connecting customer insights, omnichannel activation, and closed-loop measurement. The offering combines audience insight and activation, performance measurement, planning, and retail media operations. It supports consistent execution across onsite, offsite, and in-store channels, with shared workflows, KPIs, and reporting. Retailers can access strategic advisory through full-service media operations, as well as a flexible, modular platform to integrate and automate media operations.

- **Omnichannel campaign activation** — Activate Campaigns Across Channels
- **Closed-loop media measurement** — Prove Media's Sales Impact
- **Audience insights and targeting** — Target High-Intent Shoppers
- **Customer-relevant media experiences** — Deliver More Relevant Media
- **Cross-channel media planning** — Coordinate Planning Across Channels
- **Cross-channel planning and performance standards** — Standardize Media Planning And Reporting
- **Retail media operations support** — Build And Scale Media Operations
- **Modular retail media platform** — Integrate And Automate Media Operations
- **In-flight campaign optimisation** — Improve Campaigns While They’re Live
- **Holistic performance visibility** — Connect Performance Across The Media Estate
- **Modular implementation** — Integrate The Approach With Existing Systems

### [Customer, Data & AI Strategy](https://www.dunnhumby.com/customer-data-ai-strategy/)
*Service*
Build trusted data foundations and clear customer priorities so teams can make consistent decisions and scale AI with commercial impact.
dunnhumby helps retailers address data issues that undermine decision-making and define which customers and behaviours to prioritise. The service evaluates how data is created, structured, and used, then builds a consistent, governed foundation and shared view of customers and business performance. It helps teams prioritise AI use cases based on value and feasibility, support analytics and personalisation, measure strategic performance, and translate priorities into action across pricing, promotions, media, and customer experience.
- Categories: Data and Analytics Consulting (https://nowen.ai/category/data-and-analytics-consulting)

- **Data foundation assessment and redesign** — Build A Trusted Data Foundation
- **Customer priority analysis** — Prioritize High-Value Customers
- **AI use case prioritisation** — Scale High-Value AI Use Cases
- **Commercial action planning** — Turn Priorities Into Commercial Action
- **Shared view of customers and performance** — Align Teams Around Trusted Data
- **Customer record deduplication and matching** — Improve Customer Data Accuracy
- **Strategy performance measurement** — Measure Strategic Performance Consistently
- **Analytics and personalisation enablement** — Enable Reliable Analytics And Personalization

### [Customer Strategy and Insights](https://www.dunnhumby.com/customer-strategy-and-insights/)
*Solution*
Focus investment on priority customers, align teams around actionable strategy, and measure its impact on commercial performance.
Customer Strategy and Insights helps retailers use loyalty data, research panels, and behavioural analysis to identify priority customers and understand what drives their shopping behaviour. It turns insights into clear strategic priorities and actions across pricing, promotions, media, and customer experience. Consistent measurement and benchmarks help teams track performance and assess commercial impact.

- **Priority customer definition** — Prioritize The Customers Who Matter
- **Customer behaviour insight** — Understand What Drives Customer Behaviour
- **Strategic priority setting** — Set Clear Priorities For Action
- **High-impact investment prioritisation** — Focus Investment On High-Impact Actions
- **Cross-functional decision alignment** — Align Teams Around Customer Priorities
- **Strategic performance measurement** — Measure Strategy Performance Consistently
- **Customer-led commercial decisions** — Improve Decisions Across Commercial Levers

## Market Segments

- **Customer segmentation and analytics** (market size $5.5B, CAGR 14%): Capabilities to create and maintain customer segments, consolidate cross-channel behavior, and deliver actionable insights for targeting, personalization, and measurement.
  - Products: Customer Strategy and Insights, Customer, Data & AI Strategy, Performance Insights, Supplier Collaboration
- **Retail category management and pricing** (market size $2.0B, CAGR 4.7%): Help retailers optimise assortments, shelf space, pricing, and promotions through demand forecasting, scenario modelling, performance analysis, and shared planning with suppliers.
  - Products: Category Management, Price & Promotion, Performance Insights, Supplier Collaboration
- **Loyalty and retention management** (market size $18.4B, CAGR 15.8%): Enterprise-grade loyalty program capabilities including enrollment, reward mechanics, targeted offers, and integrated redemption within ordering flows to increase repeat visits and lifetime value.
  - Products: Loyalty & Personalisation, Supplier Collaboration
- **Retail media network** (market size $30.1B, CAGR 10.1%): Capabilities for retailers to build and operate owned media networks combining on-site and off-site ad delivery, first‑party data targeting, attribution, and unified omnichannel reporting.
  - Products: Retail media
- **Conversational commerce** (market size $8.5B, CAGR 15%): Helps beauty brands and retailers deliver branded shopping conversations that interpret shopper intent, explain catalog recommendations, and connect discovery to commerce through owned channels and generative AI platforms.
  - Products: Agentic commerce

## Sources

- [dunnhumby](https://dunnhumby.com)
- [Category Management](https://www.dunnhumby.com/category-management/)
- [Price & Promotion](https://www.dunnhumby.com/price-promotion/)
- [Performance Insights](https://www.dunnhumby.com/performance-insights/)
- [Loyalty & Personalisation](https://www.dunnhumby.com/loyalty-personalisation/)
- [Agentic commerce](https://www.dunnhumby.com/agentic-commerce/)
- [Supplier Collaboration](https://www.dunnhumby.com/supplier-collaboration/)
- [Retail media](https://www.dunnhumby.com/retail-media/)
- [Customer, Data & AI Strategy](https://www.dunnhumby.com/customer-data-ai-strategy/)
- [Customer Strategy and Insights](https://www.dunnhumby.com/customer-strategy-and-insights/)
- [The global audience analytics market size was valued at USD 5.5 billion in 2025 and is projected to grow from USD 6.1 billion in 2026 to USD 15.4 billion by 2033, at a CAGR of 14.0% from 2026 to 2033.](https://www.grandviewresearch.com/industry-analysis/audience-analytics-market-report)
- [The Category Management Solution Market is expected to grow at a CAGR of 4.7% during the forecasted period.](https://www.linkedin.com/pulse/international-category-management-solution-market-growing-ahkrf)
- [The Global Retail Analytics Market size is estimated to be valued at USD 8.69 billion in 2026](https://www.coherentmarketinsights.com/market-insight/retail-analytics-market-1719)
- [The global customer loyalty management software market size was valued at USD 18.37 billion in 2025](https://straitsresearch.com/report/customer-loyalty-management-software-market)
- [Market Size Was Valued at USD 30.1 Billion in 2023, and is Projected to Reach USD 71.5 Billion by 2032, Growing at a CAGR of 10.1%.](https://introspectivemarketresearch.com/reports/retail-media-networks-market/)
- [The Global Retail Media Networks Market Size was Valued at USD 20.00 Billion in 2023; CAGR of 6.21% from 2023 to 2033.](https://www.sphericalinsights.com/reports/retail-media-networks-market)
- [With a projected CAGR of 6.6% from 2026 to 2033, the market's expansion is fueled by rapid technological advancements](https://www.linkedin.com/pulse/conversational-commerce-service-market-trends-report-nknpc)