Cheapest MAU-metered platform as your audience grows

LaunchDarkly, Unleash and ConfigCat compared at your current seats โ€” only MAU changes per row. Statsig isn't MAU-metered at all, so it's shown separately above; watch how LaunchDarkly's rank flips once MAU clears the crossover point.

MAULaunchDarklyUnleashConfigCatCheapest

Why MAU-metered, seat-based, flat-fee and freemium-analytics billing shapes matter

Feature flag platforms don't compete on a single price โ€” they compete on which dimension of your product they choose to meter. LaunchDarkly's Foundation/Pro pricing bills (client-side MAU / 1,000) ร— MAU rate + seats ร— seat rate, so cost scales directly with how many end users see your app, on top of a flat per-developer charge. That shape is brutal for a consumer product with a huge audience and a small engineering team โ€” exactly the profile where MAU fees dwarf seat fees. Unleash flips that entirely: it charges seats ร— seat rate with no MAU or connection metering at all, so its bill stays flat no matter how large your user base grows โ€” great for high-traffic products, less competitive for a large team that only ships flags to a small audience. ConfigCat goes further still, selling a flat unlimited-seat monthly plan that ignores both MAU and headcount and meters config-JSON downloads instead โ€” the most budget-predictable shape of the three, and the one most likely to win once MAU passes a fairly low threshold.

Statsig is the outlier: flag and config checks are unmetered and free, and a generous multi-million-event allowance covers the analytics/experimentation side of the product before any charge appears. A team running simple on/off or percentage-rollout flags without heavy experiment analytics can realistically pay close to $0/month โ€” but the moment analytics-event volume passes the free tier, cost is billed per additional million events, a shape that has nothing to do with MAU or seats. There is no vendor whose sticker price represents your bill without knowing which dimension โ€” audience size, team size, or event volume โ€” your usage actually stresses.

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