What is Shopper Data? xamples, Providers & Datasets to Buy
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- Guide
- FAQ
What is Shopper Data?
Shopper data is defined as the information your consumers provide while communicating with your business via your website, mobile apps, reviews, social media, marketing campaigns, and other online and offline media. Shopper data is the foundation of a successful business strategy.
Organizations realize the value of shopper data and take action to ensure that they get the necessary customer data points that would allow them to improve customer experience and fine-tune marketing strategies over time.
Shopper data refers to information collected about consumers’ purchasing behavior and preferences.
What Are Examples of Shopper Data?
Shopper data includes a variety of data points that provide a complete view of consumer behavior. Examples include:
- Transaction History – Details on past purchases, including date, amount spent, and product category.
- Loyalty Program Data – Insights from customer reward programs, including points earned, redemptions, and shopping frequency.
- Online Browsing Behavior – Data on website visits, product views, and abandoned carts.
- Purchase Data – Records of completed sales, payment methods used, and preferred brands.
- Demographic Information – Customer age, gender, income level, and household composition.
- Shopper Foot Traffic Data – Insights into store visits and dwell time at retail locations.
- Point-of-Interest (POI) Data – Information about consumer visits to shopping centers and retail locations.
- Retail Sales Data – Aggregated sales performance data across categories and regions.
- Shopper Sentiment Data – Customer feedback, reviews, and brand perception analysis.
Access the Best Shopper Data Providers & Datasets
Datarade offers a wide range of shopper datasets, from transactional insights to in-market audience targeting. Businesses can access high-quality consumer intelligence to enhance their marketing strategies and improve retail performance.
AIKE | Brands Shopper Data: Comprehensive Consumer Insights with Audience data, Identity data, and Ecommerce Data
Envestnet | Yodlee's De-Identified Shopper Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts
Click Global Data | Web Traffic Data + Transaction Data | Consumer and B2B Shopper Insights | 59 Countries, 3-Day Lag, Daily Delivery
BestPlace | Point-of-Interest POI Data | Ratings | Footfall | Census | Geospatial data | Shopper Patterns | Worldwide
Factori Audience Data| 1.2B unique mobile users in APAC, EU, North America and MENA
Consumer Sentiment Data | Global Audience Insights | Psychographic Profiles & Trends | Best Price Guaranteed
GeoPersona Interest Segments | Europe | Audience Targeting Data Available Globally | GDPR-Compliant
Scanbuy Shopper Demographics Data (multi-source validated, US-based, National Scale)
Grepsr | Nordstrom Store Address, Contact Information, Rating |Global Coverage with Custom and On-demand Datasets
Persona | enrich 1st-party data with 350+ U.S. consumer personas
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Top Shopper Data Providers & Companies
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Envestnet | Yodlee
CoverageUSAEnvestnet® | Yodlee® is a market leader in de-identified consumer spend/income data. We tag thousands of public and private companies to billions of transactions that we capture in near real time (T+1) and make available via feeds or dashboard.15 m+Active usersSince 2011HistoryT+2Latency -
Xtract
CoverageUSAUK+248VIt has been a great experience working with Xtract.io. Their data quality was top-notch, helping us strategize new locations for business expansion. Thank you, team, for giving us the right datasets that we require to expand our store outlets.
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Whooz
CoverageNetherlandsAs a segmentation expert we provide insight in characteristics, interests and behaviour of all 8.000.669 households in The Netherlands. In a world that evolves more rapidly than ever, we believe that continuous customer insight is the compass that points towards the best result.+ 2,000propensity models8 millionhouseholds in The Netherlands.+ 30 yearsof experience -
AIKE
CoverageUSAUK+248SWe are thoroughly impressed with Scorri's exceptional provision of high-quality data at a competitive price point. The data's superior quality, coupled with its extensive volume, has significantly reduced our cleansing efforts and facilitated accurate analysis, ultimately saving us valuable time. Kudos to Scorri for their outstanding service!
Popular Use Cases for Shopper Data
Businesses use shopper data in various ways to improve sales and customer engagement. Key applications include:
- Advertising – Targeted ad campaigns based on shopping habits and demographics.
- Audience Targeting – Refining audience segmentation for better personalization.
- Lead Generation – Identifying potential customers based on purchase behavior.
- Account-Based Marketing (ABM) – Personalizing outreach to high-value customers.
- Programmatic Advertising – Using real-time data to optimize ad placements.
- Retail Footfall Analysis – Tracking in-store visits and customer movement patterns.
- Omnichannel Marketing – Integrating online and offline shopping behaviors for a seamless experience.
- Pricing Strategy Optimization – Adjusting prices based on demand trends and competitor analysis.
Main Attributes of Shopper Data
Shopper data is rich with attributes that help businesses understand and engage customers effectively. Key attributes include:
- Shopper ID & Contact Details – Unique identifiers for tracking consumer behavior.
- Transaction Records – Purchase amounts, frequency, and product categories.
- Retail Preferences – Favorite stores, brands, and shopping habits.
- Shopping Cart Data – Products added to cart, abandoned items, and checkout behavior.
- Engagement Data – Clicks, ad interactions, and in-store dwell time.
- Demographic & Psychographic Data – Age, income, lifestyle, and preferences.
- Geo-Location Data – Store visits, travel patterns, and regional shopping trends.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 9 datasets | |
| String | A hashed email address with algorithms like SHA, MD5, etc. | View 8 datasets | |
| String | The Internet Protocol version 4 (IPv4) address of an endpoint. | View 8 datasets | |
| String | The name of a brand. | View 6 datasets | |
| String | The currency code as per ISO 4217. | View 6 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 5 datasets |
Why Is Shopper Data Important?
Shopper data enables businesses to enhance customer experience and drive profitability. It helps personalize marketing, optimize inventory, adjust pricing dynamically, improve ad performance, and gain competitive insights. Key benefits include:
- Enhanced Customer Engagement – Personalized marketing campaigns that resonate with target audiences.
- Optimized Inventory Management – Aligning stock levels with demand trends.
- Data-Driven Pricing Strategies – Adjusting prices dynamically to maximize revenue.
- Improved Marketing ROI – More effective ad spend and campaign performance.
- Competitive Intelligence – Understanding market trends and competitor strategies.
How Is Shopper Data Collected?
Shopper data is collected through various methods, including:
- Point-of-Sale (POS) Systems – Capturing transaction details at checkout.
- Loyalty & Rewards Programs – Tracking customer purchases and preferences.
- E-commerce Tracking – Analyzing website interactions and online behavior.
- Mobile Apps & Location Data – Gathering insights from mobile device activity.
- Surveys & Feedback Forms – Collecting direct consumer opinions.
- Social Media Analytics – Monitoring engagement and sentiment trends.
What Is Shopper Analytics?
Shopper analytics refers to the process of analyzing consumer behavior and preferences to optimize marketing strategies, improve store layouts, and enhance the shopping experience. Businesses use AI and big data tools to track customer journeys and predict future purchasing patterns.
What Is Shopper Research?
Shopper research involves studying consumer buying habits, motivations, and decision-making processes. It helps retailers understand how customers interact with products, what influences their purchasing decisions, and how to improve in-store and online experiences.
What Are Category & Customer Analytics?
What Are Category & Customer Analytics?
Category analytics focuses on sales, pricing, and demand trends within specific product categories, helping businesses optimize assortments and pricing strategies. Customer analytics examines shopper demographics, preferences, and loyalty drivers to enhance personalized marketing.
Frequently Asked Questions
How is the Quality of Shopper Data Maintained?
The quality of Shopper Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Shopper Data Updated?
The update frequency for Shopper Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Shopper Data Secure?
The security of Shopper Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Shopper Data Delivered?
Shopper Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Shopper Data.
How Much Does Shopper Data Cost?
The cost of Shopper Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Shopper Data for your needs.
