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Convert.com

The bootstrapped, privacy-first A/B testing platform — no third-party data sharing, transparent pricing, and a real alternative to Optimizely for mid-market teams

Experimentation / A/B testing 4.3 / 5 (1 Rating) From $199/mo (annual) Updated May 2026 🌍 Global tool, US billing

Quick Verdict

Convert.com is the experimentation industry's best-kept open secret: a fully bootstrapped, privacy-first A/B testing platform founded in 2009 by Dennis van der Heijden, with an engineering hub in Bucharest, Romania and a distributed global team. It is not a feature-flagging platform (do not pick it for that), it does not sell or share visitor data with third parties (a real differentiator post-GDPR), and its pricing is fully transparent and tiered on tested-user volume rather than seats. Convert sits in the same competitive bucket as Optimizely Web Experimentation and VWO, but it is meaningfully cheaper at the entry tier ($199/mo billed annually) and is the default tool of choice for many international CRO agencies. For Indian growth and CRO teams, the trade-off is straightforward: pricing is USD + GST, but you get a mature, EU-friendly stack that won't quietly become a 6-figure annual line item like Optimizely will at the enterprise tier.

Statistical engine
4.4
Visual editor
4.0
Privacy & compliance
4.8
Value for money
4.3
India support & billing
3.1

What is Convert.com?

Convert.com — the company name in product is "Convert Experiences" — is a web-based A/B and multivariate testing platform aimed at e-commerce, SaaS and publishing teams. The company was founded in 2009 by Dennis van der Heijden together with a co-founder he met in Bucharest, and has operated as a bootstrapped, profitable business ever since — meaning no VC pressure to bolt on a feature-flagging product or a personalisation engine to chase a growth narrative. That focus shows up in the product: Convert is good at the thing it sells (A/B + MVT testing on web), and it does not pretend to be a Statsig-style data platform or a LaunchDarkly-style feature-flag store.

The "privacy-first" positioning is not just marketing. Convert publishes a clear data-processing posture: no third-party data sharing, GDPR-aligned defaults, the option to keep all visitor data in the EU, and a public sub-processor list. For European e-commerce brands and any Indian SaaS business that sells into Europe — which is most of them now — this materially reduces the legal-review surface compared to a US-headquartered Optimizely or AB Tasty deployment.

Convert is heavily used by independent CRO consultancies and agencies. If you've worked with a freelance conversion specialist or a boutique CRO firm and ended up with a tool other than Optimizely or VWO, it was almost certainly Convert. That agency-driven distribution is a useful signal: Convert tends to land in teams that take experimentation seriously enough to hire an expert.

Capabilities

🧪 A/B and MVT testing

The core product. Run client-side A/B and multivariate tests against any web-funnel metric. Both Bayesian and frequentist statistical engines available; pick the one your team is comfortable with. Sample-size calculator and sequential testing supported.

🎨 Visual Editor

WYSIWYG editor for marketers and CRO specialists to build test variants without engineering involvement. Slightly less polished than VWO's but more flexible than the bare-bones Optimizely Lite tier.

🛡️ Privacy & data residency

No third-party data sharing. EU data-residency option for European brands. Public sub-processor list. Built-in GDPR/CCPA consent handling. The single biggest reason CRO agencies serving European brands default to Convert.

🔌 Integrations

Native integrations with Google Analytics 4, Adobe Analytics, Heap, Mixpanel, Amplitude, Hotjar, FullStory, Segment, and major e-commerce platforms (Shopify, BigCommerce, WooCommerce, Magento). Webhook + REST API for custom destinations.

👥 Audience & targeting

Geography, device, traffic source, custom JS conditions, and integration-driven audiences (e.g. logged-in Segment users matching a trait). Sufficient for ~90% of CRO use cases — but if you need ML-personalisation, look at Dynamic Yield or Optimizely Personalisation instead.

🧰 Developer surface

JavaScript snippet for client-side tests, REST API and webhooks, plus an experiments-as-code option for engineers who'd rather check tests into git. No native server-side feature-flag SDK — for that, pair Convert with GrowthBook or LaunchDarkly.

Pricing & plans (2026)

Convert publishes its full price list — rare for the enterprise-testing category. Three tiers, gated by tested-user volume per month:

  • Entry — $199/mo billed annually ($399/mo billed monthly) — up to 100,000 tested users / month.
  • Specialist — $599/mo billed annually ($999/mo monthly) — up to 400,000 tested users / month.
  • Pro — $1,019/mo billed annually ($1,699/mo monthly) — up to 700,000 tested users / month.
  • Enterprise — custom pricing above 700K users / month or for compliance-heavy buyers.

For Indian buyers: pricing is USD, with 18% IGST applicable. At ~₹84/USD the Entry tier works out to roughly ₹17K/mo ex-GST, ~₹20K/mo all-in. That's still meaningfully cheaper than Optimizely's enterprise floor (which routinely lands at $30K+/yr) and roughly on par with VWO's USD pricing tier. Always verify the live numbers on convert.com/pricing; this is a category where rates move once or twice a year.

When Convert.com is the right call

  1. You sell into Europe and care about GDPR / data residency — Convert's privacy posture is the simplest to defend in a procurement legal review.
  2. You're a mid-market e-commerce, SaaS or publisher running 5–25 experiments/month — the price-to-feature ratio at this volume is the best in the category.
  3. You work with a CRO agency — most established agencies have a Convert practice; you'll get faster handoff than with an in-house Optimizely setup.
  4. You want transparent, no-haggle pricing — you can pick a tier on the website without a sales call. Rare in the experimentation space.

Convert is the wrong call when you need: server-side feature flagging at scale (use LaunchDarkly or GrowthBook), ML-driven personalisation (use Dynamic Yield or Optimizely Personalisation), or experiment metric instrumentation tightly coupled to your warehouse (use Statsig or Eppo).

Pros & cons

✓ Pros

  • Genuinely privacy-first — no third-party data sharing, EU data residency option
  • Bootstrapped and profitable since 2009 — no roadmap drift toward unrelated products
  • Transparent, published pricing — no sales-call gating
  • Strong agency ecosystem; easier to hand off to specialists
  • Mature statistical engine with both Bayesian and frequentist modes
  • Cheaper than Optimizely at all tiers

✗ Cons

  • Pricing is USD with 18% IGST for Indian buyers — no INR billing
  • Smaller integrations marketplace than Optimizely or VWO
  • No native feature-flagging or server-side SDK
  • Limited Indian-language support and IST-aligned support hours
  • Visual editor is solid but not best-in-class

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