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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.

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Cold weather = cozy habits unlocked. ❄️

Quick Insight

☕Americans drink 40% more hot chocolate during the winter months (December–February) than any other time of year. What’s your go-to cozy beverage?

Which cozy drink do you prefer?

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. 

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Liquid Data Go®

Grow Faster.

Dream Bigger.

Liquid Data Go® helps growing CPG brands show their value with insights into performance, consumer behavior, e‑commerce trends, and pricing across key retailers.

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…

Circana’s Liquid Data Collaborate™ solution helps you bring all your data togeth…

Not sure where to start?

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

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TERM

Feature Weeks

Number of weeks a product is featured in ads.

Definition

Feature weeks count each week with a valid feature.

How to Calculate

Sum weeks with features across stores.

Why it Matters

Correlates with price-driven lift.

Key Advantages

Easy to plan and track.

Example

Six feature weeks in summer.

Use it to

Count weeks in which feature support occurred and relate frequency to observed lift. Adjust schedule by retailer to place features in the highest response windows.

View all solutions that

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