Travel & Hospitality Measurement That Works

Airline and hotel chain can see their own booking funnels but remain blind to cross-partner influence. An airline loyalty email may drive 10K hotel bookings, yet the hotel sees only "direct" traffic and the airline gets no credit. Neither partner can measure partnership ROI, leaving $8M+ in incremental revenue unmeasured. Partnership negotiations happen on guesswork: airlines claim hotels get unfair value; hotels say airlines drive negligible traffic. Without cross-data visibility, both parties underinvest in joint campaigns.

Hotel chain counts all hotel.com bookings as "direct" revenue but overpays OTA commissions on bookings OTAs merely influenced. OTAs show 200K attributed bookings (claiming 45% of revenue). Hotel.com reports 250K "direct" bookings. But many direct bookers saw OTA ads days before: they're really assisted conversions. Hotel pays 15% commission to OTAs AND loses margin on direct bookings that OTAs actually influenced. The result: $12M+ annual commission overpayment with zero visibility into true incrementality.

Tourism board spends $20M annually on "Visit Greece" campaigns but has zero proof of ROI. Airlines track flight bookings to Greece; hotels track room nights. But the board never sees end-to-end impact: which campaigns led to flight searches, which searches became flight bookings, which flights drove hotel stays. Without proof of causality, tourism funding faces budget cuts despite potential 2.8x ROAS. Airlines and hotels stay siloed, unable to attribute their revenue back to destination marketing.

Airline and car rental company want to cross-promote loyalty: "Redeem airline miles for car rental," or vice versa. But neither can share member lists without violating privacy policies and regulatory consent frameworks. Airline has 5M elite members; car rental has 2M frequent travelers. The overlap could unlock 42% cross-redemption lift, but neither knows which members are in both programs. Without member identity matching, cross-campaign ROI remains theoretical, and partnership stays underpowered.

OTA sees 100K+ daily flight searches but lacks real-time hotel inventory and airline pricing to bundle packages. Hotels manage their own inventory; airlines manage their own NDC pricing. OTA assembles packages by calling each system separately, losing speed (latency kills conversion) and losing leverage (no volume signals to negotiate dynamic rates). Package conversion lags single-product booking by 35%. Users abandon at the bundling step because the OTA can't show dynamic pricing or guarantee availability in real-time without centralizing competitive data.