Best In-store Datasets, Databases & APIs

Find the right In-store Data: Search, preview & buy data securely via Datarade.
26 Results

Location Data | Global Store Location Data on 11M+ POI | SafeGraph Places

by SafeGraph
SafeGraph Places provides business location data for every location in the SafeGraph product suite via ... Business location data on global points of interest (POI), such as store, brand, address, location, lat
Available for 182 countries
11M POI (Points of Interest)
2 years of historical data
Starts at
$179 / purchase
Free sample available

In-store density distribution heat maps dataset by PREDIK Data-Driven

by Predik Data-driven
foot traffic data and footfall insights, businesses can create in-store heatmaps to see how many consumers ... Intra-store analytics measure in real-time to improve decision making, even in on-the-go situations.
Available for 124 countries
10M records
3 years of historical data
95% horizontal_accuracy
Pricing available upon request
Free sample available

Online Retail Database | eCommerce Stores List 2022 | 5 Million eCommerce Stores Worldwide | 15+ eCommerce Platforms | Real-Time Verified Data

by Lead for Business
We provide current and accurate information that will assist you in achieving your goals. ... eCommerce Store List 2022. 5 Million Online Retail Business Worldwide. 15+ eCommerce Platforms • 5M eCommerce
Available for 240 countries
5M Records
10 years of historical data
95% Accuracy Guaranteed
Starts at
$100 / purchase
Free sample available

SnapBizz Database of FMCG/kirana Stores

by Snapbizz
store etc,. ... Detailed database of the store comprising of various columns like turnover, selfservice, type of store
Available for 1 countries
Pricing available upon request

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

Lifesight App Data (Mobile App Usage DataMobile Audience DataApp Store Data)

by Lifesight
Mobile App Usage DataMobile Audience DataApp Store Data ... App data linked to mobile advertiser IDs that can be used to understand app usage behaviour.
Available for 52 countries
2 years of historical data
Pricing available upon request
10% Datarade discount
Free sample available

Luz Store - Revenue Figures for Online Stores - Ecommerce Data (USA, Canada, EU-5)

by Luz
for data-driven teams working in eCommerce. ... Luz specializes in the collecting and processing of unstructured eCommerce website data, providing your
Available for 7 countries
9 months of historical data
Pricing available upon request
Free sample available

Automaton AI Video Data - video of products in a retail store

by Automaton AI
Data of the retail store of all the isles, customers, etc. ... Data of the retail store of all the products from a height of 2 - 7 feet.
Available for 1 countries
4K Images
Pricing available upon request

Quadrant Point-of-Interest (POI) Data - Store Location Data - with custom, on-demand metadata and attributes

by Quadrant
These purpose-built apps do not store, collect, or share any data other than the physical location (without ... Combined with our expertise in location data solutions, we can be a holistic data partner for our customers
Available for 249 countries
Available Pricing:
One-off purchase
Monthly License
Yearly License

aKQired Ecommerce Database - Shopify Stores, Retail Database [Owners, Emails, Phone]

by aKQired
We offer worldwide shopify/ecom retail shops data with Data Fields below: Store Name Website Contact ... Name Job Title Email Street Address City State Country Zip Phone Number and more data
Available for 249 countries
1K Contacts/Day
5 years of historical data
100% Qualified
Starts at
$550$495 / 1000 Contacts
10% Datarade discount
Free sample available
revenue share - 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 - Snapbizz profile banner
Based in India
Retail Innovation, Mobile Based disruptive business model, Cloud connected, Consumer goods industry, Android Based technology, Digital Visibility, Real time ...
Basket captured per day
Consumer info
Transaction value per month - Predik Data-driven profile banner
Predik Data-driven
Based in Costa Rica
Predik Data-driven
We are experts in the collection, extraction, management and analysis of large volumes of all types of data, from alternative and complex sources to traditio...
Updated & consistent
Latam, US, Asia Markets
Strict & precise controls
Retail Solutions
Based in USA
Retail Solutions
Retail Solutions is a data provider offering Point-of-Sale (POS) Data, CPG Data, In-store Data, and Retail Sales Data. They are headquartered in United State...
Based in USA
Nielsen is a data provider offering Demographic Data, Interest Data, Product Ownership Data, Brand Affinity Data, and 13 others. They are headquartered in Un... - ModFx Labs profile banner
ModFx Labs
Based in India
ModFx Labs
We offer raw location data for Mexico, South America, APAC & Middle-East. This data is captured from GPS mobile devices by various SDKs & Apps.

The Ultimate Guide to In-store Data 2022

Learn about in-store data analytics, sources, and collection.

What is In-Store Data?

In the simplest terms, in-store data tells you about what happens in-store. This can range from consumer footfall to optimizing inventory use, for example by highlighting where you have a surplus and could apply a promotion. These data-driven insights give business owners a clear look into their company and point out key areas that could be improved to generate greater profits.
Aside from administrative data, in-store data also tells you about the customers who visit your store. It can break down their behaviors and purchasing habits which allows you to better streamline your efforts to ensure they return results.

How is In-Store Data collected?

In-store data is collected byusing different types of data collection.
Location and footfall data is used to measure the number of customers who visit the store over a given period. This can highlight when peak and slack periods of businesses are and can be used to allocate staffing schedules accordingly.
Purchase data is collected whenever a customer makes a purchase. This records the cost and what was bought to highlight products which sell more or less well and how much revenue they generate.
Inventory data is compiled by recording what products are available at what times. Businesses use this information to pick and choose when to apply promotions or begin marketing campaigns to sell excess stock.
This is all analyzed and compiled into one big in-store dataset.

What are the attributes of In-Store Data?

Because there are so many sub-categories of data that is related to in-store data it is hard to define what information will typically make up an in-store dataset. It is therefore important to check that your chosen data provider’s data suits your personal needs.
An in-store dataset can provide foot traffic information, such as how many visitors came over a specific period and how long they stayed. This can be combined with purchase data to show how much revenue was generated from these visits and whether there is a discrepancy between visitors and number of sales mdade.
Inventory information will give you detailed insights into stock numbers which is used to highlight which products a promotion could be added to.

What is In-Store Data used for?

There are many different uses of in-store data, but essentially it all comes down to optimizing the efficiency of your store and driving up profit margins.
Businesses use in-store data to break down the running of their store. Foot traffic information can highlight when a store is at its most and least busy which means you can tailor staffing schedules around this.
Purchase data and analytics shows the volume and profits of sales that are being made. This can also give an insight in customer preferences and habits which can be used for running marketing campaigns. If you know one product is selling particularly well you can market this efficiently to encourage people to buy more.
Companies also use inventory details to highlight which products there is a surplus of so marketing campaigns can be run to sell these items and generate revenue at the same time.

How can a user assess the quality of In-Store Data?

As said above, because there is a wide range of details that makes up an in-store dataset it is important to check that your data provider’s information matches your businesses needs.
High quality in-store datasets will provide real-time intelligence and analytics about the running of your store and will cover the aspects you deem most important.
Always make sure to read the data provider’s reviews before buying to ensure that you are getting the best possible data for your personal needs.

Where can I buy In-store Data?

Data providers and vendors listed on Datarade sell In-store Data products and samples. Popular In-store Data products and datasets available on our platform are Location Data | Global Store Location Data on 11M+ POI | SafeGraph Places by SafeGraph, In-store density distribution heat maps dataset by PREDIK Data-Driven by Predik Data-driven, and Online Retail Database | eCommerce Stores List 2022 | 5 Million eCommerce Stores Worldwide | 15+ eCommerce Platforms | Real-Time Verified Data by Lead for Business.

How can I get In-store Data?

You can get In-store Data via a range of delivery methods - the right one for you depends on your use case. For example, historical In-store 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 In-store Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to In-store Data?

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

What are the most common use cases for In-store Data?

The top use cases for In-store Data are Store Visit Attribution, Retail Intelligence, and Shelf Analytics.