Best In-Store Analytics Software for 2019

Find out about the best in-store analytics software for small businesses. Includes frequently asked questions.

Updated on November 18th, 2019

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In-store analytics software helps retail stores understand customer behavior. Beyond mere traffic counting, in-store analytics can provide insights about peak periods, shopping habits, dwell times, and shopper flow patterns, helping businesses optimize in-store layout, merchandising, staff schedules, and more.

Best In-Store Analytics Software:

Our Rank

Company

Trial Offer

1.

inpixon

Demo.

2.

RetailNext

Demo.

3.

ShopperTrak

Demo.

4.

Walkbase

None.

5.

Prodco

Demo.

6.

V-Count

None.

7.

Prism

None.

8.

Leantegra

Demo.

9.

Aislelabs

Demo.

10.

Dor Technologies

Demo.

11.

RetailFlux

Demo.

12.

ThinkIN

Demo.

13.

Motionloft

Demo.

14.

CountBOX

Paid trial.

15.

SEMSEYE

None.

FAQs:

What are the benefits to in store analytics?

In-store analytics provides insights about customer behavior that allow retailers to:

  • Measure store performance.
  • Optimize store layout.
  • Improve in-store customer experiences.
  • Optimize product displays.
  • Improve in-store sales activities and customer support.
  • Optimize staff schedules.

What is in-store analytics?

In-store analytics refers to the process of monitoring and analyzing in-store customer behavior and is used to optimize store performance and customer experiences.

How does in-store analytics work?

In-store analytics software processes data collected through in-store monitoring tools, such as motion and heat sensors, video surveillance, and data signals, to provide real-time analytics of in-store activities. Users can then derive insights from the analytics, gain a better understanding of their customers, as well as optimize their operations accordingly.