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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. 

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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

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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™ 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.

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.

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Dictionary Term

Base Weighted Weeks (BWW)

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TERM

Base Weighted Weeks (BWW)

Weeks of promotion weighted by base sales.

Definition

Base Weighted Weeks weight each week of support by baseline volume to reflect impact potential.

How to Calculate

Multiply each supported week by base sales weight, then sum for the period.

Why it Matters

Shows quality of timing, not just count of weeks.

Key Advantages

Rewards support in high-demand weeks.

Example

Two weeks of support in peak season count more than two off-peak weeks.

Use it to

Count weeks weighted by base volume to normalize exposure across time. Apply BWW when comparing periods so high‑base weeks carry proportionate influence.

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