Industries
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
Track business performance against key competitors at every stage of the product lifecycle.
SOLUTIONS
We help our clients accelerate demand by focusing on the best opportunities for the greatest impact on their business.
SOLUTIONS
Our Liquid Data® technology provides cross-industry data and advanced analytics in a single, open platform.
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Resources
Suggested solutions
TERM
Bayesian Statistics
A statistical approach that updates beliefs with data.
Definition
Bayesian statistics combine prior information with observed data to estimate parameters.
How to Calculate
Specify a prior, define a likelihood, and compute a posterior distribution.
Why it Matters
Useful for small samples and hierarchical models in CPG.
Key Advantages
Handles uncertainty and partial pooling well.
Example
Estimate lift for many small SKUs with a shared prior.
Use it to
Apply probabilistic models that update beliefs as new data arrives to estimate parameters with uncertainty. Use posterior distributions to compare scenarios and make decisions that account for variance rather than single-point estimates.
