Best Shopper Datasets, Databases & APIs

Find the right Shopper Data: Search, preview & buy data securely via Datarade.
13 Results
5.0(17)

Shopper Data | Retail Foot Traffic | 4M+ POI | 30M+ Monthly Visits

by SafeGraph
Foot traffic data can also be joined to our transactions data to get a complete picture of shopper data ... SafeGraph Patterns is a dataset of visitor and shopper data aggregations available for ~4.4MM POI.
Available for 2 countries
34M Monthly visits
3 years of historical data
Starts at
$0.10 / API call
Free sample available
3.8(1)

US Foot Traffic and Shopper Journey Data

by Olvin
Using the latest advances in machine learning, we analyze billions of data points to make sense of shopper ... on US shopper traffic.
Available for 1 countries
240M Mobile Device Location Data
2 years of historical data

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
5.0(3)

TRAK Data - Full US Consumer Automotive Data - Reach Vehicle Owners, In-Market Auto Shoppers, Target

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
5.0(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
3.8(1)

Almanac Platform - Shopper traffic, Demographics, and Journey Data - 240M mobile devices

by Olvin
It leverages billions of real-world data points in its powerful yet easy to use platform. ... Brick-and-mortar businesses are held back by a data deficit - especially when compared to their online
Available for 1 countries
240M Mobile Device Location Data
2 years of historical data

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
3.8(1)

US Industry Trends at Macro and Micro levels

by Olvin
mobile device data to make sense of shopper behavior. ... product, Almanac, leverages state-of-the art machine learning techniques in order to make sense of shopper
Available for 1 countries
240M Mobile Device Location Data
2 years of historical data

Scanbuy CPG (Consumer Packaged Goods) and DG (Durable Goods) Brand-level Purchase Data (multi-source

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

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
datarade.ai - SafeGraph profile banner
SafeGraph
Based in USA
SafeGraph
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...
7.1M
POI in US and CAN
5,500+
Brands in US and CAN
>90%
Fill Rates
datarade.ai - Swash profile banner
Swash
Based in Finland
Swash
Swash is a browser plugin that collects Search & Click Feed, Navigation Feed, Transaction Feed data across major domains. We provide zero-party consumer d...
GDPR, CCPA
Compliant
Zero-party
Collection methods
Real-time
Data
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...
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Olvin
Based in United Kingdom
Olvin
Olvin’s flagship product, Almanac, is an AI-powered solution focussed on predicting consumer intent. It leverages billions of real-world data points in a pow...
240M
Mobile Devices
16M
POI Locations
6K
Chains & Brands
Ibotta Audiences
Based in USA
Ibotta Audiences
Ibotta collects user-consented, explicitly opt-in data from millions consumers across all major retailers nationwide - Walmart, Target, Kroger, Costco, etc. ...
IRI Data Cloud
Based in USA
IRI Data Cloud
IRI Data Cloud is a data provider offering TV Viewership Data, Ecommerce Data, Point-of-Sale (POS) Data, Loyalty Card Data, and 8 others. They are headquarte...

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 Shopper Data | Retail Foot Traffic | 4M+ POI | 30M+ Monthly Visits by SafeGraph, US Foot Traffic and Shopper Journey Data by Olvin, 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.