Zyro's multi-armed bandit algorithm automatically routes traffic to your best-converting offers in real-time. Maximize conversions while you sleep, without manual analysis.
Zyro balances "exploring" new variations with "exploiting" the current winner. We constantly test to ensure the winner is still the winner.
Traditional A/B tests waste traffic on losing variants for weeks. Bandit algorithms shift traffic instantly, saving you lost conversions.
If user behavior changes (e.g., weekend vs. weekday), the algorithm adapts automatically without you needing to restart tests.
Traffic allocation updates every hour based on performance. If Variant B starts winning, it gets more traffic immediately.
Zyro optimizes separately for mobile and desktop. Variant A might win on iPhone while Variant B wins on Laptop.
Automatically route TikTok traffic to high-energy visuals and Google traffic to detailed comparisons if that's what converts best.
Variations that perform significantly below baseline are automatically paused to protect your conversion rate.
We ensure a minimum sample size before declaring a winner to prevent luck or short-term spikes from skewing data.
Optimize for Revenue per Visitor (RPV), not just click rate. Ensure you aren't optimizing for cheap clicks that don't buy.
Speak to one of our experts about implementing bandit algorithms for your high-traffic pages.
Launch a self-optimizing campaign in three steps.
Design 2-4 different offers, headlines, or designs in the A/B testing editor.
Instead of a standard A/B test, choose "Bandit Optimization" in settings.
Zyro monitors performance 24/7 and adjusts traffic flow automatically.
Better data means better optimization.
Prefer manual control? Run standard A/B/n split tests with fixed traffic allocation.
Ensure your optimization data is accurate by tracking the full customer journey.
Run experiments specific to mobile users, TikTok visitors, or VIP customers.
It's an algorithm that dynamically allocates traffic to the best-performing variation. Unlike A/B testing which keeps traffic split 50/50 until the end, Bandit shifts traffic to the winner during the test to maximize conversions.
Bandit algorithms actually work better for lower traffic sites than A/B tests because they find the winner faster and stop wasting traffic on losers sooner.
Yes. You can set the optimization goal to be "Order Completed" or "Revenue Generated," ensuring the AI prioritizes money, not just email signups.
You can test unlimited variants, but we recommend 2-4 for the fastest learning phase.
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