AB Tasty vs VWO
A/B Testing pricing comparison · 2026 · Updated March 2026
AB Tasty pricing ranges from $30000–$150000/month, while VWO ranges from $0–$999/month. These products use different pricing models (Custom enterprise pricing vs Usage-based (pay per token/image/minute)), so a direct price comparison isn't meaningful — costs depend on usage volume and mix.
Sources & confidence
Every dollar amount and contract clause below traces back to a sourced fact. We don't manufacture composite scores.
Plans at a glance
Every tier per product. Lock one to drive the cost row above and reveal a tier-specific outbound CTA.
What users say
Aggregated, with sample sizes. We use whichever review platform has data.
AB Tasty and VWO are both mid-to-enterprise A/B testing and personalization platforms. AB Tasty leans harder into personalization and customer engagement — with AI-powered audience segmentation, feature management, and product experimentation alongside classic A/B testing. VWO is a more focused CRO platform with strong visual testing tools, heatmaps, and session recordings bundled into one product.
Both use custom pricing at scale, but VWO publishes starting rates (~$200+/month) making it more accessible to teams that need to budget without engaging sales. AB Tasty's pricing is entirely custom, positioning it more squarely in the enterprise and mid-market segments.
Plan-by-Plan Pricing
| Plan | AB Tasty | VWO |
|---|---|---|
| Business | Custom | Free /month |
| Enterprise | Custom | $314 /month |
| Pro | — | $972 /month |
| Enterprise | — | Custom |
Cost at Scale
Total cost of ownership — licenses, implementation, and hidden costs included.
AB Tasty
1 scenarioVWO
3 scenariosMarket Intelligence
AB Tasty
- Median annual cost
- $40,000
- Based on
- 3 deals
VWO
- Median annual cost
- $16,660
- Average negotiated discount
- 20%
- Based on
- 93 deals
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Our Verdict
Choose AB Tasty if: personalization is a core strategy — not just A/B testing but dynamic content, behavioral targeting, and AI-driven segment activation. AB Tasty's Flagship (feature management) module is strong for product teams running feature experiments alongside marketing tests.
Choose VWO if: you want a comprehensive CRO platform with A/B testing, heatmaps, session recordings, and form analysis under one subscription. VWO's all-in-one approach means fewer tools in your stack, and its visual editor makes test creation fast without heavy dev dependency.
Bottom line: AB Tasty for personalization-led organizations needing AI-driven audience targeting. VWO for CRO teams that want testing, analysis, and insight tools in one accessible platform.
Frequently Asked Questions
01 How does AB Tasty's personalization compare to VWO's?
AB Tasty has more advanced personalization with AI-powered audience segmentation and a dedicated customer engagement module. VWO's personalization is effective but more template-driven. For deep personalization programs, AB Tasty has an edge.
02 Does VWO include heatmaps and session recordings?
Yes. VWO's platform includes heatmaps, clickmaps, scrollmaps, session recordings, and form analytics alongside A/B testing. This makes it a strong all-in-one CRO platform without needing Hotjar or FullStory separately.
03 Which is better for ecommerce A/B testing?
Both are well-suited for ecommerce. VWO has strong revenue impact tracking and integrates with Shopify and Magento. AB Tasty has specific ecommerce personalization templates and product recommendation testing. The choice depends on whether you prioritize testing (VWO) or personalization (AB Tasty).
04 Can non-technical users run tests on AB Tasty or VWO?
Both have visual editors that reduce developer dependency for client-side tests. VWO's visual editor is generally considered more intuitive. For server-side and feature tests, both require developer involvement.
05 How do AB Tasty and VWO handle statistical significance?
Both offer frequentist and Bayesian statistics options. VWO's SmartStats uses Bayesian methods by default, which provides faster decisions with less traffic. AB Tasty offers configurable statistical models. Both display confidence intervals and allow custom significance thresholds.