Price Management

Investors seeking steady performance are pressuring CPGs to cut costs and focus on their pricing strategies. However, these tactics can be shortsighted and reduce further alienating consumers and retail customers, according to a new report.

Learn how consumer goods companies can use AI-based pricing models to adapt to consumer behavior and improve sales and profitability while navigating challenges like consumer trust and data accuracy.

Circana chief retail advisor notes tariffs are just the latest source of uncertainty to rattle consumers, who still haven’t recovered from the disruptions caused by the 2020 COVID-19 pandemic.

While advancements in consumer insights have provided CPG brands and retailers with a looking glass of the drivers behind shopper behavior and trends, the image can be sharpened and personalized using merchandising tactics that fuse data and AI to truly embrace the why, the how, the when — and even the will do — of consumer actions and motivation.

Brands can no longer afford to ignore fragmented RGM processes. Learn how they can more effectively leverage all the data at their disposal.

Tim Schneider, head of sales engineering at Buynomics, shares his insights on how CPG companies can benefit from this shift, offering a deeper understanding of the challenges and opportunities that come with unifying pricing, promotions, trade spend, and assortment strategies.

CPGs have weathered the volatile economy since the beginning of the COVID-19 pandemic by raising prices to compensate for increased costs and seeking to boost volume through advertising and promotional discounts. However, research suggests that those strategies won’t be enough to sustain growth in 2025.

A survey of 303 U.S. consumers conducted in October found that 68% reported that dynamic pricing made them feel like they were taken advantage of. Learn more.