Case Study: Hotel Chain achieves 8.11x ROAS with Cognitiv

Hotel Chain boosts ROAS 8.11x with Cognitiv

The hotel chain faced the challenge of driving summer travel bookings across both a national prospecting campaign and localized co-op retargeting efforts in 46 distinct regions. They needed to manage these strategies and budgets separately while still gaining shared performance insights to maximize their return on ad spend. To address this, they partnered with Cognitiv and leveraged its ContextGPT and deep learning technology.

Cognitiv implemented a solution by training separate, self-learning custom algorithms for the national and co-op campaigns using the hotel chain's first-party booking data. These models continuously optimized for each market's unique goals and patterns. The results were highly successful, with the campaign achieving an 8.11x ROAS. Furthermore, 57% of the co-op regions exceeded their ROAS benchmarks and the national campaign saw a 3.2x growth in ROAS, demonstrating the effectiveness of Cognitiv's deep learning approach.