Buy In-store Data

In-store data is information about everything that happens in-store, from customer foot traffic to inventory numbers. Businesses and retailers use these details to maximize on their company's profit margins. Datarade helps you find the best in-store data for your business needs. Learn more →
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Our Data Partners
Data labeling services
by Automaton AI
Automaton AI
240 countries covered
Automaton AI Infosystem Pvt. Ltd. is in business to provide Data labeling as s service. We have developed our custom inbuilt data-labeling tool which reduces...
Price + Promotions
by Edge by Ascential
Edge by Ascential
64 countries covered
This industry-leading SaaS solution enables you to both measure and manage your pricing and promotions position, effectively communicate this to your shopper...
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ModFx Labs
Based in India
ModFx Labs
ModFx Labs is a data provider offering In-store Data, Shopper Data, Location Data, Mobile App Usage Data, and AI & ML Training Data. They are headquartered i...
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Edge by Ascential
Based in United Kingdom
Edge by Ascential
Edge by Ascential gives global brands and retailers the knowledge to win in digital commerce by providing actionable, next-generation data, analytics, insigh...
4000+
Brand & Retailer Clients
193+
Supported Markets
Largest
Data Catalog in the world
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Automaton AI
Based in India
Automaton AI
We are a full-stack AI company with a mission to democratize Data. Automaton AI is an AI industry expert who is Transforming how businesses see the world wi...
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The Ultimate Guide to In-store Data 2021

Learn everything about In-store Data. Understand data sources, popular use cases, and data quality.

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.

Who are the best In-store Data providers?

Finding the right In-store Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular In-store Data providers that you might want to buy In-store Data from are ModFx Labs, Edge by Ascential, Automaton AI , Retail Solutions, and Nielsen.

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 Data labeling services by Automaton AI and Price + Promotions by Edge by Ascential.

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, CPG Data, and Shopper Data. These data categories are commonly used for Store Visit Attribution and In-store Data analytics.

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.