Report

Using Location Data in CPG Shopper Insights

Major events in recent years have triggered enormous shifts in the way Consumer Packaged Goods (CPG) firms need to market and distribute their products. Despite the rise of online, 90% of worldwide purchases are predicted to take place in-store versus online in 2025 (source).

Understanding offline, real-world behavior of consumers and how this fluctuates in relation to disruptions, changes in technology, emerging trends, and global events is crucial for CPG brands to be able to pivot their strategies quickly. In order to keep up and plan ahead accordingly, more CPG brands are putting extra budget behind Analytics and Data Science initiatives that take shopper insights to a far superior quality and granularity.

This guide details how location-based Big Data can be leveraged within such initiatives to focus upon in-store and near-store behavior ensuring the right product gets to the right store, at the right time.

In this guide you will learn about:

• Challenges for CPG firms looking to use more location data to drive business decisions
• How to upskill analysts to use new Data Science methodologies and larger datasets
• Applications of Location Analytics in CPG
• Different types of real-time Location Data available and examples of insights they can provide

....and much more.