MonetizeSlot helps online casinos simulate pricing policies offline, roll them out with guardrails, and measure incremental profit uplift without relying on gut feel.
Create → attach → comply → simulate → controlled rollout & experiments.
Build and version advanced pricing strategies (rules/models) for your catalog.
Choose which policy is active per game, with clear versions and rollback paths.
Enforce market-specific rules before rollout to stay compliant by default.
Replay the policy offline to estimate uplift and risk before it goes live.
Guardrailed rollout with live A/B experiments, decision logs, and fast rollbacks.
Outcome-led scenarios for revenue teams (simulate → guardrails → measure).
Choose and deploy the right pricing policy per game/segment with versioning, clear "what's active" visibility, and fast rollback paths.
Replay candidate policies on historical data to estimate incremental GGR impact, variance, and downside risk before touching live traffic.
Enforce allowed ranges, eligibility, and suppression rules per market so rollouts stay compliant by default—and reversible if signals change.
Prove true impact with holdout/A-B experiments, decision logs, and baseline comparisons—so teams can defend changes with evidence, not intuition.
Manage thousands of games with policy mapping, segment targeting, and an explicit active-state view—then roll back safely in minutes when needed.
Connect MonetizeSlot to existing stacks using clean APIs and warehouse/event pipelines so operators can adopt fast without replatforming.
One overview + focused demos by use case.
Control center for configuration and deployment of policies.
Baseline vs policy results with segment breakdowns.
Executive dashboard for monitoring
Security, deployment, and evaluation materials.
Simulation-first decisioning, guardrails, and incrementality measurement.
A walkthrough tailored to your promo and pricing setup.
Share your goals and constraints. The demo maps your current flows and shows how simulation + guardrails drive measurable uplift.