Your campaigns, optimizing themselves

A Multi-Armed Bandit (MAB) is a reinforcement learning algorithm that balances exploration (trying new variants) and exploitation (sending what's already working). Imagine a row of slot machines with unknown payout rates. The MAB algorithm learns which machines pay best by playing them, but it's smart about it, quickly shifting pulls toward the highest-paying machines while still occasionally testing others. Applied to marketing, this means testing dozens of creative, timing, and channel variants simultaneously while routing the majority of traffic through proven winners.

A/B testing splits your audience 50/50 between two variants, waits days for statistical significance, then declares a winner. This is slow, wastes half your traffic on the losing variant, and only tests one variable at a time. RevBridge's MAB engine tests dozens of variants simultaneously and shifts traffic toward winners in real time. You don't wait: the system starts optimizing from the first send, and performance improves continuously.

The MAB engine begins learning from the very first send. With typical list sizes (5,000+ subscribers), you'll see meaningful optimization within 2-3 campaigns. By the end of the first week, 94% of sends are being routed through AI-optimized variants. The engine never stops learning. It continues to explore new variants while exploiting what's working.

No. RevBridge is designed for marketers, not engineers. Connect your store or data source in minutes, let Brand DNA learn your content, and configure your first campaign in the dashboard. The MAB engine handles all the complex optimization behind the scenes. If you do have technical needs, the REST API is fully documented.

At minimum, RevBridge needs customer email addresses and/or phone numbers. For full optimization power, it benefits from purchase history, product catalogs, and behavioral events (page views, cart actions). Native integrations (like Shopify) sync this automatically. For any other platform, use the REST API or CSV import.

RevBridge optimizes both within and across channels. Within a channel, it tests creative, timing, and audience variants. Across channels, it learns which customers respond best to email vs. SMS vs. WhatsApp vs. RCS, and shifts traffic accordingly. A customer who ignores email but responds to SMS will automatically receive more SMS. This cross-channel optimization is unique to RevBridge.