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Retail Product Placement: How to use Analytics Technology to Optimize Displays and Increase Sales

Retail Product Placement: How to use Analytics Technology to Optimize Displays and Increase Sales
February 01, 2021

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In-store retail product placement is crucial to the success of any business. With hundreds of different brands out there competing for attention and recognition, shelf space is at a premium. The competition between new brands and established ones for this limited space is fierce.

Product placement in stores and your layout strategy can have a major influence on a customer’s decision to buy your product. Understanding where to place items within your store can be the difference between selling a few units and selling a couple hundred units. 

What is retail product placement?

Retail product placement is the art of deciding where your products appear within a retail space through planning, design, and negotiation. Display placement also involves spatial analysis of shelving and the use of planograms, which are visual diagrams of product shelving that helps merchandisers maximize capacity. 

When in-store displays are effectively placed, brands are recognized much more easily, and sales are maximized. It’s the best of both worlds. When trying to optimize display placements, stores need to consider where the majority of the foot traffic is in the store, the size of the store, and what other items are being sold within that particular category. 

Also, product placement in retail stores consists of strategies implemented by field marketing and sales teams, such as the organizing and tracking of placed products and the restocking of empty shelves. 

Retail in-store display placement

retail product placement

For retail stores, charging for space, charging to remain in that space, and charging to limit competitor shelf space is much more advantageous for larger well-known brands. For new brands, fighting for prime real estate on the store shelves can be a challenging. In order for new products to avoid failure, they must: 

  • Co-brand their display
  • Target a failing competitive brand 
  • Know their unique prime shelf real estate 
  • Consider the broker option 
  • Build clout 
  • Fight for eye level placement 

Analytics rules all 

Even though earlier in this article we said retail product placement was an ”art”, there should be no guesswork to it. Using insights gleaned from detailed data and analytics can ensure your displays are placed in the most optimized positions. It’s great to feel confident about your product placement plan, but the only sure way to guarantee success is through real-time data. Retailers should be collecting three types of data from their displays: observational, activity, and sales data. Observational data concerns the qualitative information your representatives are compiling from the field.

Activity data is the number regarding the total store visits or actions taken in the store. Sales data is the quantitative data that tracks how much is being sold within a given period. Luckily for you, when you implement Mapsted technology into your property, we take the guesswork out of product placement in stores. Our platform provides the detailed analytics you need to quickly maximize your profit. Taking a data-driven approach to in-store product placement can help improve your bargaining power when negotiating shelf space with other brands. 

The two main take-aways here:

  • Product placement in retail stores is the practice of placing products in the best spot possible to maximize sales
  • Using real-time analytics to monitor the success of your retail product placement will guarantee you get a leg up on the competition 

Start using detailed analytics today to upgrade your retail product placement strategy. 

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