NielsenIQ is a global provider of retail measurement and analytics solutions, delivering comprehensive point-of-sale data, advanced analytics, and AI-enabled insights. Serving key sectors such as consumer-packaged goods, retail, beauty, and digital commerce, NielsenIQ helps manufacturers and retailers track market performance, understand shopper behavior, optimize pricing and assortment, and make faster, data-driven decisions.
NielsenIQ maintains robust coverage of the pharmacy channel, offering syndicated POS measurement and pricing intelligence used by both retailers and manufacturers to benchmark pharmacy category performance and shopper behavior.

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Key Verticals |
Description |
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CPG |
Delivers market measurement and consumer trend intelligence to support category growth and innovation strategies. |
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Beauty |
Provides omnichannel performance analytics enabling brands to anticipate trends and capture market share. |
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Beverage Alcohol |
Offers integrated on- and off-premise measurement to identify growth pockets and optimize portfolio performance. |
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Packaging |
Supplies consumer and packaging insights to guide innovation and retail execution strategies. |
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Pet |
Tracks total pet market dynamics across consumables and supplies, spanning online and offline channels. |
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Digital Commerce |
Measures e-commerce performance to refine assortment, pricing, and fulfillment strategies. |
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Financial Services |
Delivers alternative retail datasets to enhance investment analysis and lending risk assessment. |
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Public Sector |
Equips policymakers with actionable retail and consumer intelligence to inform strategic decisions. |
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Media |
Provides audience and consumer behavior insights to optimize media planning and targeting efficiency. |
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Retail |
Integrates comprehensive omnichannel data to drive profitable retail operations and competitive positioning. |
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Small and Medium Buissness |
Offers scaled market and shopper insights tailored to accelerate growth for small and mid-sized enterprises. |
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Technology and Durables |
Delivers POS and shopper analytics to track performance and innovation in tech and durable goods markets. |
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Dimension |
NielsenIQ |
SymphonyAI Retail CPG |
Numerator |
84.51° (Kroger) |
Dunnhumby |
SPINS LLC |
Inmar Inc. |
Retail Solutions (RSi/IRI) |
C3 AI |
Profitero, Inc. |
Circana |
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1. Core Analytics Offerings |
Analytics & activation across e-commerce, pricing, promos, assortment, supply chain; advanced analytics & recommendations |
AI-driven predictive & generative retail models focused on CPG |
Retail & behavioral analytics combining survey and transactional data; media measurement |
Kroger-grade retail analytics & supplier collaboration platform |
Category mgmt, price & promo optimization, retail media, loyalty/personalization |
Natural/indie brand-focused analytics for e-commerce & Amazon growth |
Retail media, shopper engagement, campaign analytics |
Retail consulting, blockchain-enabled supply/settlement, shopper analytics |
Enterprise AI apps: inventory, CRM, supply chain insights |
Digital shelf analytics, sales & share tracking, content optimization |
Unified retail/CPG workflow analytics: shopper engagement, supply chain |
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2. Data Types Supported |
E-commerce, omnichannel sales, shopper panels, syndicated market & behavioral data, POS |
Loyalty, POS, shopper behavior, syndicated (inferred) |
Shopper panels, receipts/scans, survey syndicated data |
Shopper loyalty, transaction/POS (Kroger universe) |
Shopper panels, loyalty card, POS, syndicated |
Syndicated natural/indie shopper panels, e-commerce, POS |
Shopper behavior, campaign performance, POS |
Retailer first-party data, syndicated feeds, POS, loyalty (implied) |
Enterprise ops & supply chain data, transaction & inventory feeds |
Online product availability, pricing, e-commerce marketplace data |
Syndicated retail sales, shopper panels, POS, loyalty, supply chain/logistics |
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3. Tech Stack |
Cloud dashboards, AI/automation, predictive modeling, APIs |
Dashboard UI, predictive/generative AI, cloud deployment, APIs |
Dashboard UI, predictive analytics, cloud, APIs |
Collaborative cloud platform, dashboards, predictive models, API access |
Dashboard UI, AI insights, cloud, APIs |
Cloud dashboards, recommendation engines, Amazon integrations, APIs |
Cloud retail-media dashboards, AI campaign engines, APIs |
Dashboards, modeling tools, cloud, API support |
Web dashboards, low-code AI studio, predictive ML, REST APIs |
Cloud dashboards, optimization engines, API integrations |
Cloud Liquid Data platform, AI predictive engines, clean-room enablement, APIs |
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4. U.S. Client Base Segmentation |
CPG, Grocery/Retail, Media, Beauty, Beverage, Packaging, Pet, Digital Commerce, Finance, Public Sector, SMBs, Tech & Durables |
Retail CPG, Grocery, Mass Retail, Fuel & Convenience, Enterprise IT, Financial Services, Media |
CPG, Retail, E-commerce, General Merchandise, Restaurants, Agencies/Media |
Grocery (Kroger & partners), CPG suppliers, Retail Media, Trade Associations |
Grocery, Retail, Pharmacy, Retail financial services, Govt, Healthcare & Life Sciences |
Natural/emerging CPG brands, Grocery (health food), Enterprise brands, Retailers, E-commerce |
Retailers (grocery/pharmacy), CPG brands, Media agencies, Loyalty program operators |
Retailers & CPG suppliers, Grocery, Utilities, Finance, Govt, Manufacturing, Healthcare |
Large enterprises in Retail, Manufacturing, Oil & Gas, Healthcare, Govt, Aerospace, Defense |
E-commerce brands, CPG, Retailers, Media, Food & Drink, Home & Office |
Grocery, CPG brands, Retailers (incl pharmacy/mass), Entertainment/Media, Food & Drink, Home & Office |
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5. Compliance & Data Security* |
GDPR, CCPA; de-identified, privacy-by-design |
EU-US Data Privacy Framework; CCPA/CPRA compliance |
De-identified data; California privacy compliance |
CCPA controls within Kroger ecosystem |
GDPR origin, anonymization best practices |
De-identified syndicated data; CPG privacy norms |
Enterprise privacy controls for shopper & campaign data |
GDPR (IRI history), enterprise controls |
Enterprise-grade security: encryption, access control, privacy-aware |
Aggregated e-commerce data, standard privacy practices |
Global Privacy Policy; GDPR & CCPA coverage; de-identification; privacy-preserving clean rooms |
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Retailer-Vendor Partnership |
Market Positioning Advantages |
Strategic Impact |
Impact Level |
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Rite Aid Corp - NielsenIQ (NIQ) |
Positions Rite Aid as a data-driven, supplier-collaborative retailer with faster cycle times from insight to activation; exclusivity with NIQ ensures differentiated analytics capabilities unavailable to competitors |
Strengthens supplier relationships via shared, governed data; improves category growth by linking measurement directly with retail media activation; enhances ability to respond rapidly to competitive threats |
High to Medium |
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CVS Health - Numerator |
Expands CVS's omnichannel visibility beyond in-house data by incorporating comprehensive competitive share and shopper panel insights |
Enables precision in promotional effectiveness measurement and competitive benchmarking, supports agile pricing and promotional strategies to protect market share in highly competitive categories |
High to Medium |
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Albertsons Companies, Inc. - SymphonyAI |
Leverages AI-native platform to embed predictive analytics directly into operational workflows, creating a proactive rather than reactive retail model |
Drives store-level personalization and optimal pricing decisions; enhances customer engagement through targeted, AI-informed offers; improves demand forecasting to reduce waste and stockouts |
Medium to Low |
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The Kroger Co. - 84.51° |
Full in-house control over loyalty data and retail media creates a closed-loop ecosystem unique in scale; proprietary platform ensures no external vendor dependency |
Maintains industry leadership in loyalty-based marketing, maximizes monetization of first-party data through Kroger Precision Marketing; enhances customer lifetime value through tailored experiences at scale |
High to Medium |
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Walgreens Boots Alliance, Inc. - Circana |
Provides category collaboration and supplier engagement tools; supports data-driven merchandising and marketing decisions |
Improves supplier alignment and joint business planning, enables more informed category and promotional decisions; supports gradual expansion of analytics capabilities |
Medium to Low |
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Implementation & Support |
Data & Security |
Intellectual Property |
Confidentiality |
Strategic Impact |
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