Best Shopper Datasets, Databases & APIs

What is Shopper Data?

Shopper data refers to all individual, behavioural, and demographic data that is collected by marketing firms from their customer base. It's used by companies to get shopper feedback and update their products or services. Datarade helps you find the best shopper database.Learn more

13 Results

CPG/Brands Shoppers Feed by Datastream

by Datastream Group
You need comprehensive, real-time insights into shopper influencers, behaviors, and opinions to keep ... (available in various stages) Creating a data lake means purchasing multiple data sets, managing data
Available for 2 countries
1.5M records daily
12 months of historical data
90% match rate
Starts at
$20,000$19,000 / month
5% Datarade discount
Free sample available
Start icon5.0(17)

Shopper Data | Retail Transaction Data | In-Store Data on Spending Patterns

by SafeGraph
This in-store data includes shopper data at individual POIs in the US based on aggregated debit card ... Shopper data containing in-store spending behavior at individual points of interest with a focus on brand
Available for 1 countries
400K POI
2 years of historical data
100% fill rates
Starts at
$0.10 /
Free sample available

Scanbuy Shopper Demographics Data (multi-source validated, US-based, National Scale)

by Scanlife by Scanbuy
US-only, mobile sourced, deterministic, self-declared Age, Date of Birth, and Gender data. ... US-only, national scale, mobile sourced, deterministic, self-declared Age, Date of Birth, and Gender data
Available for 1 countries
12 months of historical data
Pricing available upon request
Free sample available
Start icon5.0(3)

TRAK Data - Full US Consumer Automotive Data - Reach Vehicle Owners, In-Market Auto Shoppers, Target by Make, Model, Year, New, Used, Geography

by TRAK Data
TRAK’s Automotive data delivers marketers the powerful data points they need to move people from their ... Data is required to reach those in-market shoppers earlier in their discovery experience, before the
Available for 1 countries
251 Million Individuals
Pricing available upon request
10% Datarade discount
Free sample available

Datastream Daily Opt-in eMail Data Feeds

by Datastream Group
The key to success is to use verified/validated data. ... Data can be verified on request where you will see 90% plus delivery rates.
Available for 2 countries
250M records
2 years of historical data
85% deliverable
Starts at
$250 / purchase
Free sample available
50% revenue share

Scanbuy CPG (Consumer Packaged Goods) and DG (Durable Goods) Brand-level Purchase Data (multi-source validated, US-based, National Scale)

by Scanlife by Scanbuy
Also can append key Demographic and Location data to the same MAID or HEM data records. ... Also can append key Demographic and Location data to the same MAID or HEM data records.
Available for 1 countries
12 months of historical data
Starts at
$2 / 1000 records
Free sample available

Swash Consumer Loyalty Rewards Audience (Cryptocurrency)

by Swash
These technology-savvy consumers understand that their data is valuable and also view cryptocurrency ... By adding the Swash plug-in to their internet browser, each consumer gives permission for their data
Available for 182 countries
Pricing available upon request
Start icon3.8(1)

Olvin - SaaS Platform Almanac | Foot Traffic Insights on 1m + POI's

by Olvin
It leverages billions of real-world data points in an easy to use platform. ... By leveraging billions of data points a day, we produce valuable insights that help real estate brokers
Available for 1 countries
6B Data Points Daily
4 years of historical data
Available Pricing:
Monthly License

Allfactor Global E-commerce Product Pricing Data - Millions of Product Listings

by Allfactor
Product Database The most comprehensive e-commerce product database collects millions of product listings data
Available for 12 countries
5B records
Available Pricing:
One-off purchase
Monthly License
Yearly License

Datonics Web Browsing Data for USA & Canada (Interest, Intent, Life Stage, Behavioral Audiences)

by Datonics
An online web data pioneer, Datonics has been a leader in providing data to ad networks and DSPs since ... The data is sourced online and classified at a one to one level.
Available for 2 countries
300M records
Available Pricing:
Monthly License - SafeGraph profile banner
Based in USA
SafeGraph is a data company that builds datasets on the physical world for teams at ESRI, Microsoft, Sysco, and Goldman Sachs. Our high-precision Places data...
POI in US and CAN
Brands in US and CAN
Fill Rates
Scanlife by Scanbuy
Based in USA
Scanlife by Scanbuy
Shopping. Demographic. Location. Identity. Featuring 8,000 brand- and product-level segments, merchant names and addresses and location data. All data is at... - Datastream Group profile banner
Datastream Group
Based in USA
Datastream Group
Our Dedicated team is ready to create an innovative data solution that is tuned to your business needs.
large quantities
constantly updated & verified
250M +
Full consumer profiles - Swash profile banner
Based in Finland
Swash is a browser plugin that collects Search & Click Feed, Navigation Feed, Transaction Feed data across major domains. We provide zero-party consumer d...
Collection methods
Data - Olvin profile banner
Based in United Kingdom
Mobility based data insights based on billions of data points and powered by cutting edge Machine Learning and AI. Our flagship product Almanac provides busi...
Points of Interest
Brands and Chains
Data Points Processed Daily - Allfactor profile banner
Based in USA
Allfactor Analytics - powerful market analytics platform that brings evolution in data eCommerce
1 Billion+
Product Data
E-commerce Store Data
Marketplace Indexes

The Ultimate Guide to Shopper Data 2022

Learn about shopper data analytics, sources, and collection.

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.

How is Shopper Data collected?

Marketers can gather data from every source that the customer interacts with the brand on. Although there are a range of ways to collect shopper data, some of them are:

  1. Website Analytics: You can collect shopper data such as demographic and geographic features along with engagement and behavioral data on your website.
  2. Social Media: You can know a lot about your consumers based on how they communicate with you on social media. Apart from using basic engagement tools (such as likes, comments, and shares), you can get to know a lot about your consumers through the local analytics/insights section of each social media channel.
  3. Tracking Pixels: Tracking pixels can show the IP addresses, operating systems, browsers, etc. which in turn helps advertisers run complex re-marketing campaigns.
  4. Customer Feedback and Reviews: Customer feedback and surveys are effective to collect interests, tastes, and preferences of your customers.

What are the attributes of Shopper Data?

An organization collects shopper data points throughout the buyer journey. The amount of these data points is large, and for ease of understanding, we have listed here some of the typical attributes of shopper data:

  1. Personal Data: Personal data can be classified into two categories, personally identifiable data and non-personally identifiable data.
  • Personally-identifiable data: Information that can be used to understand an individual’s identity. It is further divided into two categories:
    Linked Information: Linked information is data that can be used to recognise an individual without requiring additional information/data point. For example, full name, physical address, email address etc.
    Linkable Information: Linkable information is any data that can’t recognise a person on its own, but it can do so when it’s combined with another piece of information. For example, first or last name, location, country code etc.
  • Non-personally identifiable data: It is the opposite of personally-identifiable data, which is anonymous and aggregated data and can’t be used to recognise any one person. For example, IP address, cookies etc.
  1. Engagement Data: This data tells you how your clients interact with your product/brand via multiple marketing channels. This data covers information such as the customer’s behavior on the website, as well as their communication with you on social channels.

  2. Behavioral Data: This helps you reveal underlying patterns that your customers reveal during their buying journey.

  3. Attitudinal Data: This data is driven by the moods and emotions of your customers. It’s how they perceive your brand and products.

What is Shopper Data used for?

Shopper data is useful for understanding the customers and their user experience with your goods and services. Here are the main uses of shopper data:

  • It is useful in designing better products.
  • It lets you improve your conversions.
  • You can draw more audience knowing their expectations.
  • It’s useful to ensure proper communication with the customers.
  • Helps sales teams provide excellent customer service.
  • It’s used to predict customers’ response so that you can make decisions accordingly.
  • It’s used to understand a customer’s purchase habits and lifestyle choices.
  • It is used to reduce advertising costs by targeting only those customers who will respond to your product.

How can a user assess the quality of Shopper Data?

Here is how you can go about verifying your shopper data:

  1. Having a system for data validation helps you set the right expectations from the beginning. The plan should lay out your milestones to measure growth. It should also examine the impact it might have on the current operations and make sure that there’s enough time to fix any potential hurdles that may arise.
  2. Next, check the size of the data and whether the data is available as a complete product. Also, estimate the number of customer records, size of data, and unique IDs.
  3. Data enrichment helps marketers verify and refine shopper data by verifying its in-house/first-party data against trusted third-party data platforms. Data enrichment also helps you reduce data redundancies and update existing records.

Where can I buy Shopper Data?

Data providers and vendors listed on Datarade sell Shopper Data products and samples. Popular Shopper Data products and datasets available on our platform are CPG/Brands Shoppers Feed by Datastream by Datastream Group, Shopper Data | Retail Transaction Data | In-Store Data on Spending Patterns by SafeGraph, and Scanbuy Shopper Demographics Data (multi-source validated, US-based, National Scale) by Scanlife by Scanbuy.

How can I get Shopper Data?

You can get Shopper Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Shopper Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Shopper Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Shopper Data?

Shopper Data is similar to Consumer Review Data, Product Data, Ecommerce Data, Brand Data, and In-store Data. These data categories are commonly used for Footfall Attribution and Retail Intelligence.

What are the most common use cases for Shopper Data?

The top use cases for Shopper Data are Footfall Attribution and Retail Intelligence.