Case Study: FoodPanda achieves a smooth site migration with no traffic loss and increased new users and transactions with DeepCrawl

A DeepCrawl Case Study

Preview of the FoodPanda Case Study

FoodPanda- Customer Case Study

foodpanda, the Berlin-based online food-ordering platform operating across 22 countries, faced a risky partial migration of its Singapore site (foodpanda.sg) while needing to monitor SEO health across 24 platforms and test authenticated user flows without exposing changes to search engines. They chose DeepCrawl for site-wide SEO monitoring and authenticated crawling, using DeepCrawl’s advanced settings (static IP and cookie support) to run comparison crawls and test the new front-end on select logged-in users.

DeepCrawl crawled staging and live pages with a static IP to support cookies, identified critical issues (pagination waste, duplicate titles/meta, HTML errors), and enabled before-and-after comparisons during a phased 5% → 20% → full rollout. As a result, DeepCrawl helped deliver a smooth migration with no traffic loss and measurable gains — foodpanda maintained its audience and saw increases in new users and transactions after the relaunch.


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FoodPanda

Alexey Turbanov

The Author


DeepCrawl

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