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Amazon quietly changed how reviews work across product variations, and brands are waking up to lower review counts overnight. Yogi CEO Gautam Kanumuru joined the Digital Deep Dive podcast to explain what's actually happening, why Amazon really made the move (hint: it's about AI, not just consumer trust), and what it means for how your products get discovered and recommended going forward.

The Yogi Agents Team are always-on AI that scan customer feedback to proactively flag emerging issues, trends, and competitive gaps. Issue Agents automatically detect and track problems across reviews, social media, and support tickets, configurable by brand, product, or retailer. After detection they monitor progression of the issue. Benchmarking Agents reveal how your products stack up against competitors, uncovering why you're gaining (or losing) ground to inform smarter decisions.

Most companies underestimate what it takes to build AI for consumer feedback analysis. This guide breaks down the hidden costs and risks of relying on DIY alone.

Amazon has announced a major update to how reviews are shared across product variations. Beginning February 12, 2026, reviews will only be pooled when differences between variations are minor and do not affect performance or customer experience. When variations meaningfully change functionality, specifications, or usage, reviews will no longer be shared. This change may impact visible star ratings and review counts at the variation level, affecting conversion and advertising performance. Brands should review their variation structures now to ensure they accurately reflect product differences before the phased rollout concludes on May 31, 2026.

In today’s competitive landscape, brands rely heavily on consumer feedback to make informed business decisions. Many are considering building their own consumer feedback analytics platform to gain full control over their data and insights. However, this approach introduces several challenges, both in terms of initial setup and ongoing maintenance. Before you decide, here are 10 critical factors to consider.

Find out how leading consumer goods brands and CPGs handle the analysis of their product reviews at scale. With brand D2C websites, promotional programs like Influenster, and distribution networks like BazaarVoice and PowerReviews, the same review can appear in many places at once, making analytics complicated. Yogi resolves duplicate reviews and provides advanced filtering options for clean analytics.

Halloween candy isn’t tasting so sweet this year — at least not to consumers. Yogi analyzed 10,000+ organic reviews across 44 candy and chocolate brands and uncovered a steep drop in sentiment around price and value. With candy prices up 10.8% year-over-year, frustration over “shrinkflation” and rising costs is flooding consumer reviews. The findings highlight how quickly public perception can shift — and how continuous feedback monitoring can help brands catch these changes before they hit the headlines.

What if you could ask your data a question—and get a clear, trustworthy answer in seconds? Discover how Ask Yogi is changing the game for consumer brands by turning scattered feedback into instant insights.

In a recent BWG Connect webinar, Yogi’s Chief Product Officer Heike Schirmer shared how leading brands are breaking down data silos and turning fragmented consumer feedback into unified, actionable insights. This recap highlights the key takeaways, real-world use cases, and the role of AI in modern voice of the consumer (VoC) strategy.

Amazon has quietly rolled out more changes to how product ratings and reviews are collected and displayed—and these updates could impact your performance metrics and competitive analysis. This follow-up breaks down the latest shifts, what they mean for your product strategy, and how to adapt with tools like Yogi.