fullstory-travel

Fullstory analytics for travel booking funnels uses fs-unmask, fs-mask, and fs-exclude rules to protect PII. You instrument search, booking, and checkout flows to capture revenue events and user interactions without exposing sensitive identifiers.

Tracking travel user journeys across web and mobile uses platform-agnostic guidance with platform-specific implementations. You instrument end-to-end interactions from search to post-trip activities, covering loyalty flows across both platforms for complete journey visibility.

Fullstory analytics for travel applications supports PCI compliance by defining specific exclusion and masking rules for checkout and payment flows. You extend tracking to payments only after applying privacy guidelines to ensure sensitive payment data remains uncaptured.

To capture multi-city itinerary search parameters and selected options for funnel optimization, you instrument Fullstory event tracking for travel search interactions. This captures selected options and revenue events throughout the booking process to identify and resolve funnel friction.

This travel analytics approach provides separate implementation guidance for web and mobile environments through platform-specific files. You follow platform-agnostic guidance in the main file, then apply specific web and mobile implementation details for each environment.

Use fs-mask versus fs-exclude rules in travel analytics to control data visibility: fs-mask hides sensitive field values while retaining interaction data, whereas fs-exclude completely removes elements from capture, typically for strict PCI compliance during payment checkout flows.