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Sendora vs Statsig

Statsig or Sendora — pick the trade-off, not the marketing.

Statsig is the modern challenger to LaunchDarkly — better stats engine, cleaner UX, generous free tier. Standalone though — your CDP + lifecycle + support tools live elsewhere. Sendora Experiments ships flag + audience-targeted rollouts + statistical readout, with messaging variant winners auto-promoting in the same tenant.

Statsig

Modern experimentation + feature flags. Strong statistics depth. Standalone — analytics + messaging separate.

Sendora

Same statistical experiment readout where the audiences + messaging + analytics all live in one tenant.

Side-by-side

CapabilityStatsigSendora
Boolean / multivariate flags
Stratified experiments + CUPEDStandard t-test stats
Holdouts + layer isolation
Audience targeting from CDPVia integration✅ same tenant
Variant winner promotes to messaging✅ Push + In-App A/B
Identity + Auth in same tenant
Pricing modelFree tier + paidBundle, 21 other modules

Why teams switch to Sendora

  • Replace Statsig + Auth0 + Mixpanel + Customer.io with one tenant.
  • Variant winner auto-promotes to messaging — Statsig customers integrate this themselves.
  • Audience targeting from the same tenant — no CDP integration overhead.

When Statsig is the right call

  • You need Statsig's CUPED + advanced stratified experimentation depth — Sendora hasn't matched it yet.
  • Statsig's free tier covers your full usage + you don't need the rest of the bundle.
Related Sendora module

Experiments

Audience-targeted feature flags with percentage rollouts + kill-switch toggle + evaluation log. Honest about not being LaunchDarkly statistical engine.

LaunchDarkly is a flag store. Statsig is an experiment platform. Sendora's Experiments module is leaner: typed flags (`boolean / string / number / json`), rule-based rollouts (audienceId + percentage + value), evaluate + evaluate-all endpoints with the same shape as LaunchDarkly's SDK contract, instant toggle + audit log. Honest about scope: no first-class `multivariate` flag type (use `string` or `json`), no statistical experiment readout engine, no winner auto-promote to In-App / Push, no `experiment.assigned` event on the platform bus (evaluations write to `flag_evaluations` table, not `events`).

Switch from Statsig. Keep your weekend.

Free plan covers real product use, no credit card. Bulk hash import for auth, CSV import for profiles, schema-validated event import for analytics — Data Sync module handles the migration in a day.