top of page
Circana Navigation
Left Sidebar.jpg
pumpkin-latte.jpg

25-34-year-olds are

21%

more likely to drink pumpkin coffees than the average consumer

Quick Insight

It's that time of year again... pumpkin spice is back. 🎃☕

 

According to Circana, 25–34-year-olds are the most likely to enjoy pumpkin-flavored coffee, proving the season's signature sip is going strong.

 

Are you team “too early” or “right on time”?

Company

Solutions

Not sure where to start?

Uncover the right solution for your business in a few clicks.

Our Liquid Data® technology provides cross-industry data and advanced analytics in a single, open platform.

SOLUTIONS

Answer the most pressing business questions.

Designed for small CPG businesses. 

Curated reports and guided analysis.

Data and analytics for a single source of truth. 

LDEssentials-Main.jpg

LIQUID DATA™ ESSENTIALS

When Your Data Speaks Retail

See performance the way retailers do without the need for a large team or budget. Built for small and mid-sized suppliers working with major retailers.

Resources

Demand Signals Report

CPG Demand Signals Report

Monitoring the impact of macroeconomic factors, including tariffs, on volume, price, and supply on U.S. consumer behavior within the CPG Industry. 

New strategies and tactics.

Circana's official announcements.

Circana in the press.

Industry rankings vs. previous data period.

See how Circana can help your business grow.

Perspectives from our thought leaders.

A curriculum to address your needs.

Solving challenges that matter to you.

Thought leaders giving growth insights.

Consumer insights and buying trends.

Suggested solutions

Liquid Data Go® helps small to midsize CPG brands grow faster and dream bigger.

Understand complex consumer behavior with clear, accurate insights into omnichan…

See performance the way retailers do without the need for a large team or budget…

Not sure where to start?

Uncover the right solution for your business in a few clicks.

Right Sidebar.jpg

Dictionary Term

Retail Data Analytics

Like it? Share it!

TERM

Retail Data Analytics

Analysis of retail and shopper data to drive decisions.

Definition

Retail data analytics turns POS, panel, and media data into insights and actions.

How to Calculate

Integrate data, build dashboards, and model drivers.

Why it Matters

Improves growth and efficiency.

Key Advantages

Faster, fact-based decisions.

Example

Dashboard flags out-of-stocks by store.

Use it to

Analyze sales, pricing, and inventory patterns using retail scanner data. Use these insights to diagnose performance drivers and improve category plans.

View all solutions that

bottom of page