The new TikTok tab that helps you find hidden gems in your city

· Source: Dataconomy · Field: Technology & Digital — Marketing, Branding & Advertising, E-commerce & Digital Commerce, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

TikTok has launched a new "Local Feed" in the U.S., a feature designed to display nearby travel, news, events, shopping, and dining content. This initiative follows an update to its terms of service, allowing the collection of precise location data under its new U.S. joint venture. The Local Feed aims to integrate small businesses as both content creators and advertisers, driving real-world traffic to brick-and-mortar stores. It prioritizes recently posted nearby content using geographic coordinates, video subject tags, and upload timestamps, and is restricted to users aged 18 and older. Location sharing is opt-in by default, requiring manual user activation, and is only recorded while the app is active. This move is positioned as a tool for economic growth, with TikTok citing a 2025 Oxford Economics report indicating 7.5 million businesses use the platform.

Key takeaway

For product managers developing location-based features, your strategy should prioritize an opt-in model for precise location data collection, ensuring user control while still enabling hyper-local content delivery. This approach can mitigate privacy concerns and foster community engagement, similar to TikTok's Local Feed, which supports small businesses and local discovery. Consider how explicit user consent can be integrated into your feature rollout to build trust and compliance.

Key insights

TikTok's U.S. Local Feed uses opt-in precise location data to connect users with nearby businesses and content.

Principles

Method

The Local Feed prioritizes content by combining user geographic coordinates, video subject tags, and upload timestamps to display recently posted nearby information.

In practice

Topics

Best for: Product Manager, Marketing Professional, Business Analyst, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by Dataconomy.