CPG

Whether detecting new beauty and health trends, modeling sales with social or website data, preparing for launching a new line of vegan products, or equipping territory sales reps - Geosocial helps CPG companies increase market share and gain more retail shelf space.

Define & Find Your Customers

With the PersonaLive™ platform, CPG professionals can identify consumers that represent the biggest growth opportunities for their business. Backed by mobile visitation, demographic, and social data, these insights empower companies to create customized marketing campaigns geared toward generating higher returns from engaged or opportunity customers.

Watch Webinar →

#1

Most Powerful Predictor of Organic Food Sales

Personalize The Store Experience

Leverage a panel of 281M individuals, 52M social users, and 117M devices to understand who is shopping in a store. By understanding the needs and interests of visitors to a store, companies can develop sales incentives that resonate.

Read case study →

2.2x

Higher Conversion via Personalizing Offers by Segment

Maximize Store Assortment

Using PersonaLive™ as part of an analytics model helps determine the sales potential of in-store products across various locations. It combines a dataset of 281M individuals with a panel of 52M anonymized social users and 117m devices to help identify where the greatest consumer opportunities lie for CPG companies.

Read case study →

#2

Most Powerful Predictor of Iowa Alcohol Sales

Define & Find Your Customers

With the PersonaLive™ platform, CPG professionals can identify consumers that represent the biggest growth opportunities for their business. Backed by mobile visitation, demographic, and social data, these insights empower companies to create customized marketing campaigns geared toward generating higher returns from engaged or opportunity customers.

Watch Webinar →

#1

Most Powerful Predictor of Organic Food Sales

Personalize The Store Experience

Leverage a panel of 281M individuals, 52M social users, and 117M devices to understand who is shopping in a store. By understanding the needs and interests of visitors to a store, companies can develop sales incentives that resonate.

Read case study →

2.2x

Higher Conversion via Personalizing Offers by Segment

Maximize Store Assortment

Using PersonaLive™ as part of an analytics model helps determine the sales potential of in-store products across various locations. It combines a dataset of 281M individuals with a panel of 52M anonymized social users and 117m devices to help identify where the greatest consumer opportunities lie for CPG companies.

Read case study →

#2

Most Powerful Predictor of Iowa Alcohol Sales

Define & Find Your Customers

With the PersonaLive™ platform, CPG professionals can identify consumers that represent the biggest growth opportunities for their business. Backed by mobile visitation, demographic, and social data, these insights empower companies to create customized marketing campaigns geared toward generating higher returns from engaged or opportunity customers.

Watch Webinar →

#1

Most Powerful Predictor of Organic Food Sales

Personalize The Store Experience

Leverage a panel of 281M individuals, 52M social users, and 117M devices to understand who is shopping in a store. By understanding the needs and interests of visitors to a store, companies can develop sales incentives that resonate.

Read case study →

2.2x

Higher Conversion via Personalizing Offers by Segment

Maximize Store Assortment

Using PersonaLive™ as part of an analytics model helps determine the sales potential of in-store products across various locations. It combines a dataset of 281M individuals with a panel of 52M anonymized social users and 117m devices to help identify where the greatest consumer opportunities lie for CPG companies.

Read case study →

#2

Most Powerful Predictor of Iowa Alcohol Sales

Request a Demo

Get started with Geosocial today

Let us know a bit about yourself so we can personalize your demo.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.