Shopper in aisle with Mobile Phone with a Checklist on the screen. Meant to show the value of Shopper Insight

Is Shopper Insight Data Important for your Brand and Retailer?

A quick guide on Shopper Insight Data, what to collect, analyze and activate at retail.

Shopper insights can predict future behavior. Understand your shoppers empowers you to make informed decisions about product placement, pricing, and marketing campaigns.

Quick shopper insight fun facts:

  • Avg. shopper spends 60 mins in a store.
  • Hungry/tired shoppers buy impulsively.
  • 70% read labels pre-purchase.
  • 50% use smartphones while shopping
  • Good mood = more purchases

Shopper insight Data you should collect:

  • Purchase frequency: How often a shopper makes a purchase.
  • Purchase amount: Avg. money spent per purchase.
  • Conversion rate: % of shoppers making a purchase.
  • Bounce rate: % of visitors leaving after one page.
  • Session duration: Avg. time on your website.
  • Cart abandonment rate: % of shoppers not completing purchases.
  • Customer lifetime value: Total expected spending over their lifetime.

how to activate the data:

  • Tailored Promotions for loyal customers
  • Dynamic Price adjustments based on behavior.
  • Cross-Selling complementary products
  • Email Campaigns with relevant products
  • Optimize navigation in the aisle.
  • Recover Abandoned Carts with reminders/incentives.
  • New Item Insights
  • Segmentation strategy for different customer groups

Challenge your Category Management & Insight teams to utilize and work with this data. 

If you seek assistance in collecting, analyzing, or activating customer loyalty data, contact Catman Analytics, we can help you maximize the potential of your customer data.


Posted

in

by

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.