Case Study: Leading Multilingual Search Engine and Mobile App Provider achieves accurate, up-to-date local listings (750,000+ verified) with Appen

The company partnered with our crowd to improve the quality of its local listings after working on multiple successful projects with the firm

Leading Multilingual Search Engine and Mobile App Provider engaged Appen to address inaccuracies in its local business listings—addresses, phone numbers, hours, maps and directions—that its in-house processes and algorithms could no longer keep current at global scale. Falling behind risked user confidence and local traffic, so the customer needed a reliable way to verify and maintain timely, region-specific listing data.

Appen deployed its Local Search Content Evaluation solution using a global, in-market crowd of evaluators to research, call, and visit businesses, scaling from 10 evaluators in one market to 440 across 31 markets and eight tasks. Over two years Appen verified and corrected more than 750,000 listings, expanded attributes reviewed (hours, geolocation, website, category), reduced data noise from time-zone and language issues, and delivered high-quality data via proprietary quality and performance systems to improve the search engine’s local results.