About

Google Optimize

Google Optimize was Google free A/B testing and personalization tool, discontinued on September 30, 2023.

It was primarily used by small business owners, marketing teams, and growth practitioners who wanted basic A/B and redirect testing natively integrated with Google Analytics — without paying for a dedicated experimentation platform.

Teams chose Google Optimize for its zero cost; its native GA integration that made it easy to set conversion goals directly from Google Analytics data; its visual editor that required no developer involvement for basic page tests; and its familiarity within the Google marketing stack.

Google Optimize is no longer available. Teams that relied on it are actively migrating to paid alternatives. The most commonly evaluated replacements are VWO, Optimizely, and AB Tasty — with VWO being the most frequently cited direct replacement due to its pricing accessibility and built-in behavioral analytics.

About

Optimizely

Optimizely is an enterprise-grade experimentation and digital experience platform built for large organizations with dedicated experimentation teams who need mature server-side testing, advanced personalization, and a statistical engine capable of handling complex multi-product testing programs.

It is primarily used by enterprise marketing teams, experimentation program managers, and product organizations at companies with $50M+ in revenue and the budget and technical infrastructure to support an enterprise experimentation stack.

Teams choose Optimizely for its Stats Accelerator statistical engine that reduces the time required to reach significance; its advanced audience segmentation and AI-driven personalization across web, mobile, and server-side surfaces; its native integration with Optimizely Content Cloud and Commerce Cloud; and its enterprise compliance certifications including SOC 2 and HIPAA options.

Optimizely has no published pricing and requires a sales process typically taking four to eight weeks. Entry-level Web Experimentation contracts start around $36,000/year; enterprise deployments range from $120,000 to $400,000+/year. No free tier.

Feature

Google Optimize

Optimizely

Lucky Orange

A/B Testing

Yes (discontinued)

Yes

No

Multivariate Testing

Yes (discontinued)

Yes

No

Server-side Testing

No

Yes

No

Feature Flags

No

Yes

No

Visual Editor (no-code)

Yes (discontinued)

Yes

Yes

Personalization

Limited

Yes

No

Heatmaps & Session Recordings

No

No

Yes

Funnel Analysis

No

Limited

Yes

AI-Powered Insights

No

Yes

Yes

Free Plan

Was free

No

Yes

Pricing Transparency

Was free

No

Yes

Google Optimize is no longer available — it was discontinued September 30, 2023. If you are still running it, tests have stopped serving. You need a replacement.

Choose Optimizely if you have a mature, dedicated experimentation program at an enterprise organization with the budget, technical resources, and team size to justify the investment. Best for companies running 30+ tests per quarter with dedicated CRO headcount. Starts ~$36,000/year (sales required; no published pricing). Avoid it if you are a small or mid-market team — the budget barrier and implementation complexity make it the wrong tool below enterprise scale.

Migrating away from Google Optimize? The tool matters less than knowing what to test.

Google Optimize made it easy to test. Optimizely makes it possible to test at enterprise scale with rigorous statistical controls. Both tools — at completely different price points — are built for the moment after you have decided what experiment to run.

Lucky Orange Discovery AI helps you get to that moment faster. Instead of manually reviewing behavioral data to form a hypothesis, ask a plain-language question about your users and get a structured answer — with session evidence and a recommended next step. Better hypotheses lead to better experiments, whether you run them in VWO, Optimizely, or anything else.

Ask questions like:

  • Which pages have the highest engagement but the lowest conversion rates?

  • What are users who visit the pricing page but do not start a trial doing differently?

  • Where do users coming from Google Ads drop off compared to organic traffic?

See how Discovery AI works