PX Pulse is your window into how consumers and businesses are thinking, shopping, and evolving. With deep analysis across multiple industries, topics, and themes, we uncover the signals that will shape tomorrow’s commerce experiences.
Consumers surveyed
Insights uncovered
Reports published
say they struggle with at least one product information challenge
of consumers have returned a product due to inaccurate or misleading product descriptions
have switched brands because they offered more detailed product information
are dissatisfied with the quality and completeness of product data, up from 13%.
are willing to pay 25-30% more for products accompanied by clear, complete, and relevant product information
would become a loyal customer to a brand if they offered a personalized, tailored experience
of shoppers believe brands are honest about how they use AI for product recommendations
with their purchase of the consumers who have completed a purchase based on an AI recommendation.
While consumers report that pricing, product size, and technical features are generally well covered, other important areas are still lagging. Brand values like sustainability and compliance commitments, nutritional or allergen information, supply chain transparency, and reviews or influencer testimonials are far more likely to be categorized as missing or insufficient.
These gaps have consequences: in the last year alone, two-thirds of consumers abandoned a significant purchase due to missing or inaccurate product information. That’s a lot of lost revenue, and much of it is avoidable.
Nearly half of shoppers (49%) report that AI-powered recommendations have influenced their purchase decisions. AI actively guides discovery through curated product bundles, tailored promotions, dynamic pricing, and behavior-based suggestions that align with individual preferences.
These personalized touchpoints reduce friction, surface relevant options, and introduce consumers to products they might not have otherwise considered. As a result, AI is becoming a critical lever for boosting engagement, increasing average order value, and strengthening brand loyalty, transforming the path to purchase from a linear transaction into a highly customized experience.
Consumer trust remains one of the biggest barriers to widespread AI adoption, with 60% of consumers expressing concern about how artificial intelligence systems collect, use, and store their personal data, and only 17% reporting little to no concern. This significant trust gap signals that hesitation around AI is not rooted solely in lack of awareness or access, but in deeper worries about privacy, security, and ethical use of information.
For brands, this presents both a challenge and a strategic opportunity. Companies that proactively address these concerns by clearly explaining how AI tools function, what data is being collected, how it is protected, and how customers benefit can differentiate themselves in a crowded market.
Consumers take a distinctly multi-channel approach when sourcing product reviews, with no single source dominating the decision-making process. Brand-owned channels remain the most influential, but third-party retailers and marketplaces and social media platforms play a nearly equal role, reinforcing that shoppers actively seek validation beyond brand-controlled environments.
This fragmented research journey raises the bar for retailers and brands to maintain consistency and accuracy across every touchpoint. Consumers are cross-checking information across owned, earned, and third-party channels, meaning discrepancies in product details, claims, or reviews can quickly erode trust. While AI-powered recommendations currently play a limited role, their influence is likely to grow, making strong, structured product information even more essential. Ultimately, retailers that invest in delivering trustworthy, high-quality product content everywhere their customers shop, scroll, and search are better positioned to build confidence, reduce friction, and convert consideration into purchase.
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Spring 26
