Case Study: Klar achieves 32% higher ROAS with Voyantis predictive LTV signals

Klar boosts ROAS 32% with Voyantis

Klar, a leading digital financial services platform in Mexico, faced the challenge of optimizing its Google ad campaigns for long-term value rather than just initial credit card approvals. Since Google's algorithm learns from quick conversions, it could not identify which users would actually become valuable cardholders weeks or months later. To close this gap, Klar enlisted Voyantis and its AI-powered predictive growth platform to build predictive lifetime value (LTV) signals.

Voyantis built custom predictive models trained on Klar's data to forecast user value and engineered these predictions into platform-native signals that Google's algorithm could learn from. This solution enabled Klar to shift to value-based bidding, which resulted in a 32% increase in return on ad spend (ROAS), a 25% reduction in customer acquisition cost (CAC), and a 15% increase in average revenue per user (ARPU). The success validated Voyantis's approach and provided a foundation for Klar to scale this strategy across other channels.

Klar