Best In-store Datasets, Databases & APIs

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

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

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

Airports insight data by PREDIK Data-Driven

by Predik Data-driven
This dataset contains enriched airport data with arquitectural mappings and mobility, financial, passengers
Available for 14 countries
50 airports
5 years of historical data
95% match rate
Pricing available upon request

Edge by Ascential⎢Price + Promotions Edge by Ascential ⎢Commerce Data for Europe & North America

by Edge by Ascential
Plan, analyze and execute the optimal pricing and promotions tactics with our deep dive data to outmaneuver
Available for 64 countries
Available Pricing:
Yearly License - 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 - DecaData profile banner
Based in USA
DecaData is uniquely positioned to provide a granular view into key changes in consumer behavior across an expanding universe of sectors. We currently have a... - 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 - Edge by Ascential profile banner
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...
Brand & Retailer Clients
Supported Markets
Data Catalog in the world
Retail Solutions
Based in USA
Retail Solutions
Retail Solutions is a data provider offering CPG Data, Point-of-Sale (POS) Data, In-store Data, and Retail Sales Data. They are headquartered in United State...
Based in USA
Nielsen is a data provider offering Consumer Data, Purchase Panel Data, Consumer Panel Data, Shopper Data, and 13 others. They are headquartered in United St...

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 Automaton AI Video Data - video of products in a retail store by Automaton AI, SnapBizz Database of FMCG/kirana Stores by Snapbizz, and Airports insight data by PREDIK Data-Driven by Predik Data-driven.

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.