{"schemaVersion":1,"profileUrl":"https://nowen.ai/agents/dunnhumby-com","markdownUrl":"https://nowen.ai/agents/dunnhumby-com.md","jsonUrl":"https://nowen.ai/agents/dunnhumby-com.json","name":"dunnhumby","website":"https://dunnhumby.com","industry":"Customer Insights","deliveryModel":"hybrid","marketCategories":{"primary":{"name":"Data and Analytics Consulting","url":"https://nowen.ai/category/data-and-analytics-consulting"},"others":[]},"status":{"trust":"unclaimed","text":"Unclaimed: compiled by Nowen from public sources, not reviewed by the company"},"updatedAt":"2026-11-09T16:04:32.135Z","summary":"dunnhumby combines customer data science, AI, and retail expertise to help retailers and brands make better decisions and improve customer experiences.","description":"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.","directory":{"industryName":"Customer Insights","agentCount":15,"indexable":true,"hubUrl":"https://nowen.ai/industry/customer-insights"},"categoryDirectory":{"name":"Data and Analytics Consulting","agentCount":61,"indexable":true,"url":"https://nowen.ai/category/data-and-analytics-consulting"},"aiReaderFamilies":["OpenAI","Perplexity","Amazon"],"products":[{"name":"Category Management","anchor":"product-category-management","type":"Service","url":"https://www.dunnhumby.com/category-management/","summary":"Make faster, customer-led category decisions that connect strategy with practical execution and improve commercial outcomes.","description":"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.","pricing":{},"features":[{"name":"Category decision optimisation","value":"Optimize Category Decisions","valueDescription":"Coordinate decisions across key commercial levers to help retailers act on category strategy and improve planning and execution outcomes."},{"name":"Customer-led category strategy","value":"Ground Range Decisions In Customer Insight","valueDescription":"Use store-level customer evidence to guide category priorities, product additions and delists, and choices about range, space, pricing, and availability."},{"name":"Assortment recommendations and impact assessment","value":"Recommend Customer-Led Assortments","valueDescription":"Develop evidence-based product mixes for different store profiles and regions, and assess the potential commercial impact of range decisions."},{"name":"Space-aware planogram generation","value":"Create Planograms That Fit Real Stores","valueDescription":"Build plans around real store space and fixtures so ranges can be implemented in store."},{"name":"Category performance monitoring","value":"Monitor And Refine Performance","valueDescription":"Track category results and use recommendations to adjust decisions as performance and conditions change."},{"name":"Team and supplier alignment","value":"Align Teams And Suppliers","valueDescription":"Give teams and suppliers a shared view of category performance to support consistent planning and action."},{"name":"Responsive, executable planning","value":"Create Plans Ready For Execution","valueDescription":"Bring changing demand and real-world constraints into planning so teams can respond while retaining strategic priorities."},{"name":"Assortment workflow automation","value":"Reduce Manual Assortment Work","valueDescription":"Automate parts of assortment analysis, recommendation generation, and workflow management to cut manual effort."},{"name":"Category investment prioritisation","value":"Focus Investment Where It Matters","valueDescription":"Identify where investment can make a meaningful difference rather than spreading spend across lower-priority decisions."},{"name":"Consistent category planning","value":"Standardize Category Planning","valueDescription":"Apply a consistent approach to category assessment, planning, and execution across teams."}]},{"name":"Price & Promotion","anchor":"product-price-and-promotion","type":"Solution","url":"https://www.dunnhumby.com/price-promotion/","summary":"Focus pricing and promotional investment where it can improve customer value perception, sales performance, and margins.","description":"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.","pricing":{},"features":[{"name":"Customer-led pricing strategy","value":"Set Customer-Led Base Prices","valueDescription":"Guide pricing investment using customer behaviour, competitive context, customer perception, and financial goals."},{"name":"Pricing plan execution","value":"Automate And Control Pricing Plans","valueDescription":"Reduce manual updates while supporting faster review, approval, consistent execution, and visibility of price changes."},{"name":"Pricing scenario analysis","value":"Forecast Outcomes Before Acting","valueDescription":"Assess possible outcomes before making pricing changes, helping teams make informed decisions rather than relying on reactive changes."},{"name":"Collaborative promotion planning","value":"Plan Promotions With Brand Partners","valueDescription":"Coordinate promotional plans with brand partners and select suitable marketing vehicles through shared workflows."},{"name":"Promotion performance forecasting","value":"Forecast Promotional Impact","valueDescription":"Understand likely promotion outcomes before launch so teams can compare options and choose plans with greater confidence."},{"name":"Promotion ROI and incremental impact analysis","value":"Identify Promotions That Deliver Incremental Sales","valueDescription":"Use evidence about promotional impact to identify effective tactics, scale them, and make clearer investment decisions."},{"name":"Pricing and promotion investment prioritisation","value":"Focus Investment Where It Matters","valueDescription":"Direct investment towards the categories, products, and campaigns with potential to influence customers and improve performance."},{"name":"Historical promotion performance refinement","value":"Refine Future Promotion Plans","valueDescription":"Use past results to adjust future plans and improve how promotions are planned and executed."},{"name":"Pricing performance monitoring","value":"Monitor Changes And Adapt Pricing","valueDescription":"Review pricing performance to support timely adjustments as needs and conditions change."}]},{"name":"Performance Insights","anchor":"product-performance-insights","type":"Solution","url":"https://www.dunnhumby.com/performance-insights/","summary":"Connect customer behaviour to commercial outcomes so teams can understand performance drivers and make better-informed decisions.","description":"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.","pricing":{},"features":[{"name":"Customer behaviour analysis","value":"Reveal What Drives Performance","valueDescription":"See which customers, missions, and behaviours drive category performance, rather than relying on sales totals alone."},{"name":"Commercial impact analysis","value":"Assess The Impact Of Decisions","valueDescription":"Connect commercial decisions with their effects on customer performance and business outcomes."},{"name":"Segment and mission analysis","value":"Compare Performance By Customer Context","valueDescription":"Explore performance across customer segments, shopping missions, and stores to understand how results differ."},{"name":"Performance opportunity identification","value":"Identify Opportunities To Improve","valueDescription":"Use the connection between customer behaviour, category decisions, and commercial outcomes to identify improvement opportunities."},{"name":"Commercial team access to insights","value":"Put Behavioural Insights Into Action","valueDescription":"Make behavioural insights usable by commercial teams across category, merchandising, pricing, and promotions."},{"name":"Shared performance insight","value":"Align Teams Around Shared Insight","valueDescription":"Give teams and suppliers a common view of customer behaviour to support alignment and informed decisions."}]},{"name":"Loyalty & Personalisation","anchor":"product-loyalty-and-personalisation","type":"Service","url":"https://www.dunnhumby.com/loyalty-personalisation/","summary":"Build stronger customer loyalty and deliver more relevant experiences using customer data, personalisation, and programme expertise.","description":"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.","pricing":{},"features":[{"name":"Loyalty programme strategy and design","value":"Design Programmes Around Customers","valueDescription":"Develop customer-led programme mechanics and rewards with financial modelling to support investment decisions."},{"name":"Omnichannel personalisation","value":"Deliver Relevant Experiences Across Channels","valueDescription":"Connect customer understanding across channels to deliver timely, personalised interactions and a more consistent experience."},{"name":"Predictive customer modelling","value":"Personalize Decisions In Real Time","valueDescription":"Apply predictive science to customer data to inform timely, relevant interactions that can influence behaviour."},{"name":"Campaign orchestration and lifecycle communications","value":"Orchestrate Campaigns Across Channels","valueDescription":"Coordinate campaigns and lifecycle messages across channels, automate workflows, and support timely customer engagement."},{"name":"Performance measurement and optimisation","value":"Measure And Improve Performance","valueDescription":"Review results and customer behaviour to identify opportunities and improve programme and personalisation performance."},{"name":"Retail recommender models","value":"Recommend Relevant Products","valueDescription":"Help customers discover products, add items to baskets, and engage with relevant promotions."},{"name":"Supplier-funded loyalty and personalised offers","value":"Align Supplier Funding With Customer Needs","valueDescription":"Direct supplier investment towards customer-led offers and loyalty opportunities to support relevance and investment efficiency."},{"name":"Personalisation strategy and business case modelling","value":"Align Personalisation With Commercial Goals","valueDescription":"Focus personalisation efforts on customer-led opportunities and assess potential value to support investment decisions."},{"name":"First-party data generation","value":"Generate First-Party Customer Data","valueDescription":"Build a customer data asset through loyalty activity and use it to support personalisation."},{"name":"Expert programme execution support","value":"Improve Programmes With Expert Support","valueDescription":"Access expert assistance or end-to-end programme management to support ongoing improvement."}]},{"name":"Agentic commerce","anchor":"product-agentic-commerce","type":"Service","url":"https://www.dunnhumby.com/agentic-commerce/","summary":"Help retailers become discoverable to AI agents and deliver relevant conversational shopping experiences that support customer choice and basket building.","description":"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.","pricing":{},"features":[{"name":"Transaction-grounded recommendations","value":"Ground Recommendations In Customer Behaviour","valueDescription":"Use customer transactions and derived context to inform recommendations."},{"name":"Agent-ready product data","value":"Improve Agent Understanding","valueDescription":"Give platform agents structured product information they can interpret when responding to customer intent."},{"name":"Agent visibility optimisation","value":"Improve Agent Visibility","valueDescription":"Measure and optimise where products appear and how they rank in platform-agent responses."},{"name":"Conversational retail experiences","value":"Deliver Contextual Shopping Conversations","valueDescription":"Support shopping conversations that reflect customer context, intent, and preferences."},{"name":"Verified product information","value":"Provide Verified Product Information","valueDescription":"Provide verified information to agents and reduce the risk of products being represented with unverified content."},{"name":"Product discovery and basket building","value":"Help Customers Build Better Baskets","valueDescription":"Support product discovery, basket building, and choice refinement through a conversational experience."},{"name":"Loyalty-informed personalisation","value":"Personalize Every Interaction","valueDescription":"Use loyalty-programme customer understanding to personalise interactions in retailers’ own channels."}]},{"name":"Supplier Collaboration","anchor":"product-supplier-collaboration","type":"Service","url":"https://www.dunnhumby.com/supplier-collaboration/","summary":"Align retailers and suppliers around shared customer insight to support joint decisions, measurable growth, and more effective investment.","description":"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.","pricing":{},"features":[{"name":"Structured shared customer insights","value":"Unify Retailers And Suppliers Around Customer Insight","valueDescription":"Give both sides a shared, retailer-verified view of customers to support joint planning and decisions."},{"name":"Retailer-approved category performance","value":"Align Decisions With A Consistent Category View","valueDescription":"Help partners work from a common understanding of category performance."},{"name":"Supplier behavioural insight","value":"Inform Commercial Decisions With Shopper Behaviour","valueDescription":"Use customer behaviour and missions to inform supplier decisions across commercial levers."},{"name":"Supplier-funded personalised offers","value":"Deliver More Relevant Funded Offers","valueDescription":"Use customer-led funded offers to support engagement, loyalty, and spend."},{"name":"Supplier-funded loyalty strategies","value":"Unlock Revenue Through Funded Loyalty","valueDescription":"Develop funded loyalty strategies that can create revenue and support stronger supplier relationships."},{"name":"Repeatable joint planning","value":"Make Joint Planning More Consistent","valueDescription":"Use repeatable, insight-led planning to help partners focus on decisions and next steps."},{"name":"Offer pool and investment optimisation","value":"Optimize Offers And Supplier Investment","valueDescription":"Coordinate offers, budgets, and investment to support smarter decisions and improved returns."},{"name":"Independent supplier insight access","value":"Reduce One-Off Requests For Analysis","valueDescription":"Provide independent access to insight to reduce ad hoc requests for analysis."},{"name":"Supplier collaboration health check","value":"Identify Collaboration Gaps And Opportunities","valueDescription":"Review current approaches to reveal opportunities for stronger collaboration and improved returns."},{"name":"Data-driven media opportunities","value":"Connect Media Opportunities To Shared Insight","valueDescription":"Plan media activity using shared customer understanding."}]},{"name":"Retail media","anchor":"product-retail-media","type":"Service","url":"https://www.dunnhumby.com/retail-media/","summary":"Connect insight, activation, operations, and measurement to help retailers grow scalable media businesses and give brands confidence to invest.","description":"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.","pricing":{},"features":[{"name":"Omnichannel campaign activation","value":"Activate Campaigns Across Channels","valueDescription":"Reach customers across connected onsite, offsite, and in-store touchpoints throughout the shopping journey."},{"name":"Closed-loop media measurement","value":"Prove Media's Sales Impact","valueDescription":"Connect exposure to purchasing behaviour and assess incremental impact for a transparent view of media performance."},{"name":"Audience insights and targeting","value":"Target High-Intent Shoppers","valueDescription":"Focus media spend on shoppers whose behaviours indicate they are more likely to act, improving relevance and reducing wasted investment."},{"name":"Customer-relevant media experiences","value":"Deliver More Relevant Media","valueDescription":"Align messages with shopper needs and behaviour to make media more relevant and less disruptive."},{"name":"Cross-channel media planning","value":"Coordinate Planning Across Channels","valueDescription":"Reduce fragmentation and make it easier to understand how media channels work together."},{"name":"Cross-channel planning and performance standards","value":"Standardize Media Planning And Reporting","valueDescription":"Create a consistent approach to planning and evaluating media across the retail media estate."},{"name":"Retail media operations support","value":"Build And Scale Media Operations","valueDescription":"Access strategic and operational expertise to establish or expand retail media operations."},{"name":"Modular retail media platform","value":"Integrate And Automate Media Operations","valueDescription":"Connect and automate cross-channel media operations through a flexible platform architecture."},{"name":"In-flight campaign optimisation","value":"Improve Campaigns While They’re Live","valueDescription":"Use timely insights to adjust investment during a campaign and improve performance."},{"name":"Holistic performance visibility","value":"Connect Performance Across The Media Estate","valueDescription":"Understand where value is created and how activity contributes across the retail media estate."},{"name":"Modular implementation","value":"Integrate The Approach With Existing Systems","valueDescription":"Choose a holistic or modular implementation to connect retail media capabilities with existing systems."}]},{"name":"Customer, Data & AI Strategy","anchor":"product-customer-data-and-ai-strategy","type":"Service","url":"https://www.dunnhumby.com/customer-data-ai-strategy/","summary":"Build trusted data foundations and clear customer priorities so teams can make consistent decisions and scale AI with commercial impact.","description":"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.","pricing":{},"features":[{"name":"Data foundation assessment and redesign","value":"Build A Trusted Data Foundation","valueDescription":"Replace fragmented data, conflicting definitions, and duplicated records with a structured, governed foundation teams can rely on."},{"name":"Customer priority analysis","value":"Prioritize High-Value Customers","valueDescription":"Focus time and spend on priority customers and actions that influence value perception and purchase decisions."},{"name":"AI use case prioritisation","value":"Scale High-Value AI Use Cases","valueDescription":"Select use cases with commercial value and feasibility, supported by the data needed to move beyond isolated pilots."},{"name":"Commercial action planning","value":"Turn Priorities Into Commercial Action","valueDescription":"Help teams act on clear priorities across commercial functions rather than leaving strategy at the level of theory."},{"name":"Shared view of customers and performance","value":"Align Teams Around Trusted Data","valueDescription":"Reduce time spent reconciling information and enable more consistent decisions with a shared view."},{"name":"Customer record deduplication and matching","value":"Improve Customer Data Accuracy","valueDescription":"Reduce duplication and inconsistency so teams can use customer information more reliably."},{"name":"Strategy performance measurement","value":"Measure Strategic Performance Consistently","valueDescription":"Track results and impact using consistent measurement capabilities."},{"name":"Analytics and personalisation enablement","value":"Enable Reliable Analytics And Personalization","valueDescription":"Address fragmented and inconsistent information that can limit analytics and personalisation initiatives."}],"marketCategories":[{"name":"Data and Analytics Consulting","url":"https://nowen.ai/category/data-and-analytics-consulting"}]},{"name":"Customer Strategy and Insights","anchor":"product-customer-strategy-and-insights","type":"Solution","url":"https://www.dunnhumby.com/customer-strategy-and-insights/","summary":"Focus investment on priority customers, align teams around actionable strategy, and measure its impact on commercial performance.","description":"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.","pricing":{},"features":[{"name":"Priority customer definition","value":"Prioritize The Customers Who Matter","valueDescription":"Give teams clarity on which customer groups should guide business strategy and investment."},{"name":"Customer behaviour insight","value":"Understand What Drives Customer Behaviour","valueDescription":"Use customer evidence to understand what motivates shoppers and how they make choices."},{"name":"Strategic priority setting","value":"Set Clear Priorities For Action","valueDescription":"Turn customer insight into a defined direction teams can apply to day-to-day business decisions."},{"name":"High-impact investment prioritisation","value":"Focus Investment On High-Impact Actions","valueDescription":"Concentrate investment on customer groups and actions that influence behaviour, value perception, and spend."},{"name":"Cross-functional decision alignment","value":"Align Teams Around Customer Priorities","valueDescription":"Provide a shared strategic direction for more consistent decisions and execution."},{"name":"Strategic performance measurement","value":"Measure Strategy Performance Consistently","valueDescription":"Assess whether the strategy is working and identify where adjustments are needed."},{"name":"Customer-led commercial decisions","value":"Improve Decisions Across Commercial Levers","valueDescription":"Use customer understanding to guide commercial decisions across price, promotions, media, and customer experience."}]}],"audiences":[],"segments":[{"name":"Customer segmentation and analytics","description":"Capabilities to create and maintain customer segments, consolidate cross-channel behavior, and deliver actionable insights for targeting, personalization, and measurement.","size":5.5,"cagr":14,"color":1,"productNames":["Customer Strategy and Insights","Customer, Data & AI Strategy","Performance Insights","Supplier Collaboration"],"methodology":"The search results do not quantify customer segmentation and analytics as a standalone market. The closest relevant proxy is the global audience analytics market, which includes customer behavior insights, audience segmentation, and targeting. It was valued at USD 5.5 billion in 2025 and is forecast to grow at a 14.0% CAGR from 2026 to 2033. This proxy may include capabilities beyond the specified segment.","citations":[{"url":"https://www.grandviewresearch.com/industry-analysis/audience-analytics-market-report","text":"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."}]},{"name":"Retail category management and pricing","description":"Help retailers optimise assortments, shelf space, pricing, and promotions through demand forecasting, scenario modelling, performance analysis, and shared planning with suppliers.","size":2,"cagr":4.7,"color":2,"productNames":["Category Management","Price & Promotion","Performance Insights","Supplier Collaboration"],"methodology":"Estimated global market size of approximately $2.0 billion for retail category management and pricing solutions, treated as a subset of the broader retail analytics market. The search results provide no direct market-size figure for this specific segment. A category-management-solutions source reports 4.7% CAGR for 2026–2033; the broader retail analytics market is substantially larger and is used only as context.","citations":[{"url":"https://www.linkedin.com/pulse/international-category-management-solution-market-growing-ahkrf","text":"The Category Management Solution Market is expected to grow at a CAGR of 4.7% during the forecasted period."},{"url":"https://www.coherentmarketinsights.com/market-insight/retail-analytics-market-1719","text":"The Global Retail Analytics Market size is estimated to be valued at USD 8.69 billion in 2026"}]},{"name":"Loyalty and retention management","description":"Enterprise-grade loyalty program capabilities including enrollment, reward mechanics, targeted offers, and integrated redemption within ordering flows to increase repeat visits and lifetime value.","size":18.37,"cagr":15.8,"color":3,"productNames":["Loyalty & Personalisation","Supplier Collaboration"],"methodology":"The closest market proxy is customer loyalty management software, which includes platforms for managing rewards, personalized promotions, engagement, and retention. Straits Research reports a 2025 global market size of USD 18.37 billion and a 2026–2034 CAGR of 15.8%. The requested segment is narrower in its emphasis on enterprise-grade capabilities and ordering-flow integration, so this broad software-market figure is used as an estimate.","citations":[{"url":"https://straitsresearch.com/report/customer-loyalty-management-software-market","text":"The global customer loyalty management software market size was valued at USD 18.37 billion in 2025"},{"url":"https://straitsresearch.com/report/customer-loyalty-management-software-market","text":"registering a CAGR of 15.8% during the forecast period from 2026 to 2034"}]},{"name":"Retail media network","description":"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.","size":30.1,"cagr":10.1,"color":4,"productNames":["Retail media"],"methodology":"For the market of platforms and capabilities used to build and operate retail media networks, estimates vary by report scope. Introspective Market Research reports USD 30.1 billion in 2023 and a 10.1% CAGR through 2032; Spherical Insights reports USD 20.0 billion in 2023 and a 6.21% CAGR through 2033. The selected estimate uses the former as the closer fit to the described RMN capabilities market.","citations":[{"url":"https://introspectivemarketresearch.com/reports/retail-media-networks-market/","text":"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%."},{"url":"https://www.sphericalinsights.com/reports/retail-media-networks-market","text":"The Global Retail Media Networks Market Size was Valued at USD 20.00 Billion in 2023; CAGR of 6.21% from 2023 to 2033."}]},{"name":"Conversational commerce","description":"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.","size":8.5,"cagr":15,"color":5,"productNames":["Agentic commerce"],"methodology":"Estimated global conversational-commerce solutions market, rather than the value of transactions conducted through conversational channels. The search results provide no explicit market-size figure. The size is an approximate internal estimate; the 15% growth estimate reflects adoption of AI-enabled shopping conversations and is higher than the cited 6.6% CAGR for the narrower conversational-commerce services market.","citations":[{"url":"https://www.linkedin.com/pulse/conversational-commerce-service-market-trends-report-nknpc","text":"With a projected CAGR of 6.6% from 2026 to 2033, the market's expansion is fueled by rapid technological advancements"}]}],"faq":[],"comparisons":[],"sources":[{"url":"https://dunnhumby.com","text":"dunnhumby"},{"url":"https://www.dunnhumby.com/category-management/","text":"Category Management"},{"url":"https://www.dunnhumby.com/price-promotion/","text":"Price & Promotion"},{"url":"https://www.dunnhumby.com/performance-insights/","text":"Performance Insights"},{"url":"https://www.dunnhumby.com/loyalty-personalisation/","text":"Loyalty & Personalisation"},{"url":"https://www.dunnhumby.com/agentic-commerce/","text":"Agentic commerce"},{"url":"https://www.dunnhumby.com/supplier-collaboration/","text":"Supplier Collaboration"},{"url":"https://www.dunnhumby.com/retail-media/","text":"Retail media"},{"url":"https://www.dunnhumby.com/customer-data-ai-strategy/","text":"Customer, Data & AI Strategy"},{"url":"https://www.dunnhumby.com/customer-strategy-and-insights/","text":"Customer Strategy and Insights"},{"url":"https://www.grandviewresearch.com/industry-analysis/audience-analytics-market-report","text":"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."},{"url":"https://www.linkedin.com/pulse/international-category-management-solution-market-growing-ahkrf","text":"The Category Management Solution Market is expected to grow at a CAGR of 4.7% during the forecasted period."},{"url":"https://www.coherentmarketinsights.com/market-insight/retail-analytics-market-1719","text":"The Global Retail Analytics Market size is estimated to be valued at USD 8.69 billion in 2026"},{"url":"https://straitsresearch.com/report/customer-loyalty-management-software-market","text":"The global customer loyalty management software market size was valued at USD 18.37 billion in 2025"},{"url":"https://introspectivemarketresearch.com/reports/retail-media-networks-market/","text":"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%."},{"url":"https://www.sphericalinsights.com/reports/retail-media-networks-market","text":"The Global Retail Media Networks Market Size was Valued at USD 20.00 Billion in 2023; CAGR of 6.21% from 2023 to 2033."},{"url":"https://www.linkedin.com/pulse/conversational-commerce-service-market-trends-report-nknpc","text":"With a projected CAGR of 6.6% from 2026 to 2033, the market's expansion is fueled by rapid technological advancements"}]}