Instinct is rolling out human-curated product and travel recommendations, according to TechCrunch, and some users appear unhappy about receiving suggestions they did not actively ask for. While the reported change is consumer-facing, it is relevant for European businesses that rely on personalisation, recommendation engines and on-platform merchandising to drive engagement or sales.

What happened

According to the source, Instinct has introduced recommendations for products and travel experiences that are curated by humans rather than generated automatically. The rollout has prompted criticism from some users who say they do not want unsolicited suggestions appearing in the product experience.

Based on the available information, the core issue is not the existence of recommendations itself, but the way they are being introduced into the user journey. When users feel that suggestions are intrusive, irrelevant or unexpected, a feature intended to improve discovery can instead create friction.

Why it matters for European businesses

For European companies, especially in e-commerce, travel and digital services, the story underlines a practical point: recommendation features are not automatically beneficial simply because they increase exposure to products or content.

Businesses often view recommendations as a growth lever for cross-selling, upselling and retention. But in practice, the commercial outcome depends on several factors:

• User expectation: If people do not understand why they are seeing recommendations, they may see the feature as spam rather than assistance.
• Relevance: Poorly targeted or badly timed suggestions can reduce trust and weaken the overall brand experience.
• Placement: Recommendations inserted into core product flows can distract users from their original task.
• Data sensitivity: In Europe, personalisation decisions may raise privacy questions if users believe their behaviour is being tracked or used in unexpected ways.

This matters beyond consumer apps. B2B platforms, online shops, booking sites and subscription services all use recommendation logic in some form, whether human-curated, rules-based or AI-driven. Even when the technology is simple, the business risk is real if users interpret the feature as intrusive.

Who may be affected

• E-commerce companies using recommended products to increase basket size or repeat purchases.
• Travel businesses promoting destinations, upgrades or bundled services inside booking journeys.
• Marketing teams responsible for personalisation strategies, lifecycle messaging and on-site conversion optimisation.
• Product and UX teams designing discovery features, feed experiences or in-app merchandising.
• IT and digital teams implementing recommendation tools from SaaS vendors or internal systems.

What companies should consider

European businesses reviewing their own recommendation features may want to assess both performance and user acceptance, not only click-through rate.

• Test for user sentiment as well as conversion: Measure whether recommendations improve outcomes without increasing complaints, abandonment or negative feedback.
• Make intent clearer: Label recommendations in a way that helps users understand whether they are editorial, sponsored, behavioural or generic suggestions.
• Review placement carefully: Avoid interrupting high-intent journeys such as checkout, account actions or support tasks unless there is a clear benefit.
• Give users meaningful control: Where appropriate, allow people to dismiss, reduce or customise recommendations.
• Check privacy messaging: If recommendations are informed by user behaviour or profile data, make sure the explanation given to users is consistent with your privacy approach and internal data practices.
• Separate editorial value from promotion: Human-curated recommendations can feel more trustworthy than automated ones, but only if users see them as genuinely useful rather than forced merchandising.

The Instinct rollout does not, on the available information, point to a regulatory change or a major platform shift. However, it does illustrate a recurring digital business challenge: personalisation can support growth, but only when relevance, timing and user expectations are handled carefully.