RevBridge uses Agentic AI and Multi-Armed Bandit algorithms to decide the perfect channel, creative, and timing for every customer.

We were tired of paying overages on traditional engagement platforms (like Insider, Braze, MoEngage), optimizing every creative, A/B testing, controlling groups, creating templates, optimizing, and analyzing data. It was an endless cycle that for mid-sized operations had dozens of people dedicated to it. While trying to resolve this problem, we made a decision to turn it into a product with no strings attached and light-speed integration. Customer engagement CAN be as easy as Google Ads is for advertising, so we built it and we are very proud! You can sign up by yourself, scan your brand, upload your data, and launch your campaigns that optimize by themselves! $100 free credits for new Sign-ups!

How does it figure out the right channel and timing for a brand with almost no historical data yet, like a brand-new launch?

@hakan5gze Hi Hakan! We encourage customers to bring historical data from the start, and we also have native integrations that can help with this. But with zero starting data, we experiment! The first launches are equally distributed, but the following rounds learn from the past!

How does it figure out the right channel and timing for a brand with almost no historical data yet, like a brand-new launch?

RevBridge AI

Customer engagement powered by AI decisioning

Customer engagement powered by AI decisioning