How Ventas AI Cut VBT’s
Cost per Lead by 66%

 Creative variety, predictive scoring, and computer vision insights at scale.

Client Overview & Challenge

About VBT

VBT Bike Tours is a leader in worldwide biking vacations. Travelers enjoy more sights, more local experiences, and more authentic meals while staying in boutique hotels and family-run inns around the globe.

The Challenge

VBT needed to quickly reduce their cost per lead on social media. Their goal was ambitious but straightforward: decrease CPL by 25%.

VBT Catalog Cover with people riding bikes on a seaside path.

THE SOLUTION
VENTAS AI

Consumer Research & Insights

The Ventas AI team conducted deep, AI-assisted consumer research around the VBT target.

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Resonate Survey Data

Largest long form US survey

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Deterministic Observation

Browsing behavior, 1+ Billion devices.

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3rd Party Commercial Data

Purchased data, shopping and lifestyle.

Generative AI & Concepting

The Creative team used the insights gleaned from research to develop campaign themes for VBT. Best-in-class Generative AI tools were then used to assist in the creation of initial copy, imagery, and branded, modular designs as vessels for testing.
 
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Ad Simulation & Pre-Launch Optimization

Our Predictive AI tool analyzes 340 data points against 450+ million ads to forecast future creative performance. Using this tool, each VBT ad was scored out of 100, with specific recommendations to improve copy and design before launch.
 
Creative performance case study elements

Ad Launch & Live Testing

Through the careful use of Predictive and Generative AI, we produced 142 “high probability” finished ad variations across message, location, and size. More ads meant more testing,
more learning, and more opportunities to reach the right customer – all while maintaining brand consistency.
 
Generative AI ad Case Study variations

Insights for New Ads

Once live, Computer Vision Analytics AI was used to detect patterns, surface insights, and identify key elements driving the performance of the active ads. These insights were layered on top of Multivariate Testing, uncovering opportunities beyond the original designs.

 
Case study examples showing the use of Computer Vision Analytics AI

CREATIVE IN ACTION

By combining predictive scoring, automated generation, and computer vision insights, VBT was able to scale creative variety quickly and effectively. With over 142 AI-optimized ad variations, the campaign reached new segments while continuously refining performance.
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Six Months, Real Results

VBT leveraged Ventas AI to create over 142 data-driven, AI-optimized ad variations representing their various business units, locations, messaging, and platform inventory.

By increasing creative volume and variety, Ventas AI ensured that the right ad reached the right prospect at the right time. The impact was immediate and dramatic.

Six Months, Real Results

142

AI-optimized ad
variations tested

66%

decrease
in CPL

2.5x

better than the
original goal

VBT leveraged Ventas AI to create over 142 data-driven, AI-optimized ad variations representing their various business units, locations, messaging, and platform inventory.

By increasing creative volume and variety, Ventas AI ensured that the right ad reached the
right prospect at the right time. The impact was immediate and dramatic.

Let's Work Together!

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