Cordial, a leading AI marketing platform, announced its Price Sensitivity feature on June 23, 2025, enabling brands to optimize promotions by predicting customer responsiveness to pricing. With U.S. profit margins down 1.6% and consumer sentiment at a two-and-a-half-year low, this tool empowers marketers to deliver precise, data-driven offers, enhancing profitability and customer engagement.
Cordial launches Price Sensitivity AI feature to optimize promotions.
Analyzes customer behavior to predict purchase intent at price points.
Helps brands protect margins amid 1.6% U.S. profit decline in 2025.
Enables personalized offers, reducing unnecessary discounts.
Complements Cordial Edge AI suite for enhanced customer insights.
Showcased at CommerceNext Growth Show, June 24-26, New York.
With inflation, shifting consumer behavior, and global tariff uncertainties challenging profit margins, brands face increased pressure to move beyond blanket discounting. Cordial’s Price Sensitivity feature leverages AI to analyze customer interactions—such as opens, clicks, browses, and purchases—to predict buying intent at various price points. This allows marketers to tailor offers, ensuring discounts are used only where they drive impact, preserving margins while enhancing customer experiences.
“With rising tariffs and shifting consumer expectations, brands need more than generic discounts, they need personalized offers backed by data and intelligence,” said Rob Garf, SVP of Strategy and Insights at Cordial. By segmenting customers based on price sensitivity, brands can target high-sensitivity shoppers with promotions like coupons or flash sales, while offering premium products at full price to low-sensitivity buyers. This approach minimizes promotional noise and fosters stronger customer retention through intent-based personalization.
The Price Sensitivity feature integrates with Cordial’s Edge AI dynamic attributes, launched earlier in 2025, including Lifetime Value (LTV), Average Order Value (AOV), RFM (Recency, Frequency, Monetary), Engagement Momentum, and Frequency Optimization. These tools collectively provide deeper customer insights, enabling marketers to prioritize high-value segments and optimize engagement timing. “With margin pressure from every direction, it’s more important than ever to optimize every promotion,” said Molly Hartney, Chief Digital Officer at Rack Room Shoes. “Cordial’s Price Sensitivity feature will provide our team a smarter way to engage customers and preserve margin, something every retailer needs right now.”
Cordial’s AI innovations have earned accolades, including recognition by Snowflake as a “one to watch” in its 2025 Modern Marketing Data Stack and a Strong Performer title in The Forrester Wave™: Email Marketing Service Providers, Q3 2024. The Price Sensitivity feature will be showcased at the CommerceNext Growth Show in New York from June 24-26, 2025, at booth #250, highlighting its role in driving scalable revenue and customer connections.
Cordial’s Price Sensitivity feature positions brands to navigate 2025’s economic challenges with precision. By leveraging AI to deliver personalized, margin-conscious promotions, Cordial empowers marketers to enhance customer value, drive profitability, and build lasting connections in a competitive retail landscape.
Cordial is a cross-channel marketing platform that helps companies like Levi Strauss & Co., Realtor.com®, Revolve, L.L.Bean, Virgin Voyages, Pacsun, and Boot Barn win the battle for attention by predicting intent, engaging consumers on their terms, delivering perfectly timed messages, and staying ahead with AI expertise and guidance. Powered by a native CDP, bespoke AI models, and real-time orchestration, Cordial transforms customer signals into timely, relevant messages that drive scalable revenue and lasting connections all from one platform. Recognized by Snowflake as a "one to watch" in its Modern Marketing Data Stack 2025 and by Gartner in its 2024 Magic Quadrant for Multichannel Marketing Hubs, Cordial was also named a Strong Performer in The Forrester Wave.
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