Concepts referenced in this article, defined.
Run rigorous A/B tests and personalize every visit on Shopify or any storefront โ no engineers required.
Optimizely and AB Tasty (now merged with Kameleoon) are both enterprise experimentation platforms โ but they've taken different paths. Optimizely is a more technical, full-stack platform that excels in feature flagging, developer-led experimentation, and large-scale personalisation. AB Tasty/Kameleoon post-merger combines AB Tasty's marketer-friendly interface with Kameleoon's technical depth in server-side testing. For large D2C brands with technical teams running experimentation programmes across web and app, Optimizely is the more mature enterprise choice. For brands that want a powerful but somewhat more accessible platform, the post-merger AB Tasty may offer more options. Neither is designed for small D2C brands โ both are enterprise-tier investments.
Optimizely is a digital experience and experimentation platform originally founded in 2010 as a web A/B testing tool. It has since expanded through acquisitions to cover CMS, feature flagging, web experimentation, full-stack experimentation, personalisation, and commerce. Its Web Experimentation product handles client-side A/B testing; Feature Experimentation handles server-side tests and feature flags. Enterprise pricing starts around $50,000/year for Web Experimentation alone, scaling to $200,000+/year for full platform access.
AB Tasty is a French-origin experimentation and personalisation platform founded in 2013 that merged with Kameleoon in 2024. The merged entity combines AB Tasty's marketer-focused interface and EmotionsAI personalisation with Kameleoon's server-side testing and feature flagging capabilities. Post-merger pricing is enterprise and custom โ contracts typically start in the $30,000โ$75,000/year range. AB Tasty has customers across ecommerce, media, and financial services in Europe and North America.
| Feature | Optimizely | AB Tasty (post-Kameleoon) |
|---|---|---|
| Visual editor | Yes | Yes |
| A/B testing (web) | Yes | Yes |
| Feature flagging | Yes (core) | Yes (from Kameleoon) |
| Server-side testing | Yes (Feature Experimentation) | Yes |
| AI personalisation | Yes | Yes (EmotionsAI) |
| Multi-page experiments | Yes | Yes |
| Audience targeting | Advanced | Advanced |
| Stats engine | Stats Accelerator (frequentist) | Frequentist + Bayesian |
| CMS integration | Yes (Optimizely CMS) | Limited |
| Session recordings | No | No |
| Heatmaps | No | No |
| Ecommerce focus | General enterprise | General enterprise |
| Starting price | ~$50,000/year | ~$30,000/year |
| Shopify integration | Yes | Yes |
Both platforms are priced for enterprise budgets.
Optimizely:
AB Tasty (post-merger):
AB Tasty is generally priced below Optimizely at comparable feature sets, which gives it a pricing advantage in competitive evaluations. However, both platforms are inaccessible to D2C brands under approximately โน200 crore in revenue on a percentage-of-revenue basis.
For context: at $50,000/year (approximately โน42,00,000/year), Optimizely's minimum investment would represent 8.4% of revenue for a โน50 crore brand โ an unrealistic CRO tooling budget. These platforms are relevant for โน500 crore+ D2C operations.
Both platforms position themselves as ecommerce-capable, but neither is built exclusively for D2C. Their ecommerce features are delivered through general platform capabilities:
Optimizely ecommerce use cases:
AB Tasty ecommerce use cases:
For D2C brands specifically, the most common testing needs (CTA copy, product page layout, checkout simplification, promotional messaging) can be handled by either platform โ but also by significantly cheaper tools designed for ecommerce.
Optimizely has a deeper technical architecture, particularly for teams that need:
AB Tasty's post-merger technical capabilities have improved significantly through the Kameleoon acquisition. Kameleoon was known for high-performance server-side testing and CDN-delivered experimentation with low latency. The combined platform is now more technically competitive with Optimizely in the feature flagging and server-side space.
Most D2C brands evaluating Optimizely or AB Tasty will find that the pricing is a barrier โ and that the use cases they actually need (testing product pages, checkout flows, promotional banners) are served equally well by more affordable platforms.
VWO handles 80% of the same use cases at 20% of the cost. For Shopify-native D2C brands, CustomFit.ai is purpose-built for the specific testing patterns that drive conversion rate improvements in ecommerce โ product page variants, CTA testing, pricing display, checkout optimisation โ with a no-code editor and no developer requirement.
If you're researching Optimizely or AB Tasty because your CRO programme is maturing, try CustomFit.ai free for 14 days before committing to an enterprise contract. It provides A/B testing and personalisation at a fraction of the cost, specifically designed for the D2C ecommerce use cases you're optimising for.
Are Optimizely and AB Tasty comparable platforms? They compete in the enterprise experimentation space but have different strengths. Optimizely is more technically mature for full-stack and feature flag use cases; AB Tasty (post-merger) is stronger on marketer accessibility and European market coverage.
Is the AB Tasty + Kameleoon merger complete? The companies merged in 2024. Product integration is ongoing โ some Kameleoon features are being incorporated into AB Tasty's interface progressively.
Which is better for Shopify stores? Both work on Shopify via JavaScript snippet. For Shopify-native testing, platforms built specifically for ecommerce (like CustomFit.ai) offer a faster path to running experiments without enterprise-level complexity.
Does Optimizely replace the need for a CMS? Optimizely has its own CMS product (Optimizely CMS). For brands not using Optimizely CMS, the experimentation products work independently of CMS choice.
What stats engine does AB Tasty use post-merger? AB Tasty supports both frequentist and Bayesian statistical modes, incorporating elements from both AB Tasty's original engine and Kameleoon's statistical framework.