Navigate Tariffs with Confidence
Tariff announcements can spark global uncertainty around the potential impact on demand and consumer behavior, making it more difficult than ever to understand and predict.
With our Price & Promotion and Demand Forecasting analytics solutions*, you can:
Be prepared to course-correct with updated forecasts if conditions change due to volatile commodity costs, supply chain constraints, or budget freezes.
Run price increase scenarios that can be blended based on weekly production volumes by country of origin.
Quickly plan for consumer response to price and promotion changes at shelf.
Identify pricing strategies to protect margins or limit share shifts to competitors or private labels.
*Circana’s solutions do not track specific tariff or policy implementation or their influence on pricing decisions. Clients can estimate tariff impacts specific to their industry and portfolios.
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Prepare for Every Possibility
What are the potential volumetric effects of tariffs for your business, category, and competitors?
How will varying levels of tariffs impact consumer buying behaviors?
How should you adjust price to remain competitive and keep margins intact?
With volatile macroeconomic conditions and changing consumer behavior, it’s critical for manufacturers and retailers to have a fast, reliable, and accurate way to answer these questions and take action internally and in store.
Answer Your Critical Questions
Circana’s analytic solutions are backed by granular, weekly store-level point-of-sale (POS) data to measure consumer response faster. Monitor price sensitivity to predictive demand drivers and gain a more holistic understanding of tariff impacts across your portfolio.
Our trusted analytics experts will help you find the right solution to navigate uncertainty, mitigate sales risk, and identify business growth opportunities.
Plan
with Demand Forecasting to:
Simulate potential macroeconomic changes from tariffs to assess opportunity and risk to your business.
Gain invaluable insights on lead/lag indicators of category, segment, or brand performance.
Add your own variables into models combining granular POS data and hundreds of existing causal variables.
Track
with Price Decomposition to:
Diagnose if performance changes are from price, mix, assortment, or quantity effects.
Adjust strategies to consumer trends appearing in the most recent POS data, such as premiumization, inflationary pricing, or private label share gains.
Evaluate
with Price Sensitivities or custom Price & Promotion Analytics to:
Understand evolving consumer response to price changes and which segments, pack sizes, brands, and items are most impacted.
Allocate trade funds to more productive events for break-even or improved performance.
Balance traditional high/low, hybrid, and everyday low pricing spending based on estimated consumer response to these formats.
