Wiland, a leading provider of marketing data and predictive intelligence, announced the addition of brand and category signals to its rapidly expanding MarketSignals™ platform. This new release brings powerful brand- and category-level insights to marketers seeking to optimize their strategies, conquer competitive challenges, and unlock growth across verticals such as retail, travel, dining, insurance, and more.
Built from Wiland’s immense consumer spending data-comprised of actual transactions from over 80 million individuals-brand and category signals deliver predictive signals for more than 220 top consumer brands and product categories. This expansion introduces granular, brand-specific elements such as purchase propensity, loyalty score, and lifetime value, giving marketers an unprecedented understanding of how their best customers-and their competitors’-behave across the marketplace. Wiland is adding new signals every two weeks and expects to increase coverage to over 500 brands and categories by the end of the year.
“With brand and category signals, we’re empowering marketers with the clearest view yet of what drives consumer choice at the brand level,” said Mike Gingell, CEO of Wiland. “This isn’t just about knowing if someone is likely to shop at a specific retailer—it’s about understanding the depth of that relationship, whether they’re loyal, infrequent, or part of the moveable middle. These signals are transformative for marketers looking to personalize outreach, reduce churn, and drive smarter growth decisions.”
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Use cases range from uncovering brand conquesting opportunities and identifying competitive pressures, to segmenting audiences by customer value and loyalty. For example, a major brand can use brand and category signals to understand which of its loyal customers are shopping at competitors—or discover partnership opportunities through adjacencies.
Unlike panels or opt-in loyalty data that reflect small slivers of consumer behavior, brand and category signals deliver insights across a vast, modeled universe of actual buyers. It enables brands to eliminate reliance on incomplete or unmatchable raw data and instead integrate high-performing predictive models directly into their analytics and AI systems.
SOURCE: Businesswire