---
title: "Google Optimize Alternatives for A/B Testing | Webtures"
description: "Learn why Google shut down Optimize in September 2023 and which A/B testing platforms to migrate to, from VWO and Optimizely to server-side testing."
source_url: "https://www.webtures.com/insights/google-optimize-alternatives/"
lang: "en"
updated: "2022-05-19T00:00:00.000Z"
---

# Google Optimize Is Gone: Current A/B Testing Alternatives

Short Answer Learn why Google shut down Optimize in September 2023 and which A/B testing platforms to migrate to, from VWO and Optimizely to server-side testing.

Sinan Gergöy 2 min read

Summarize with AI

![Google Optimize Is Gone: Current A/B Testing Alternatives](https://www.webtures.com/images/insights/google-optimize-alternatives/cover.svg) ![Google Optimize Is Gone: Current A/B Testing Alternatives](https://www.webtures.com/images/insights/google-optimize-alternatives/cover-light.svg)

[Sinan Gergöy](https://www.webtures.com/authors/sinan-gergoy/) Sr. Visibility Executive

Published: 19 May 2022 Updated: 19 May 2022

Google Optimize was the free A/B and multivariate testing tool Google offered for websites; the company **shut it down in September 2023**. This page answers the two questions people searching for Optimize actually have: why it was discontinued, and what to use in its place today.

## Why was Google Optimize shut down?

![A short history of Google Optimize, from launch to shutdown](https://www.webtures.com/images/insights/google-optimize-alternatives/section-1.svg)![A short history of Google Optimize, from launch to shutdown](https://www.webtures.com/images/insights/google-optimize-alternatives/section-1-light.svg)

Google stated that the tool did not deliver the scale and feature set its users expected, and redirected its resources toward third-party integrations inside GA4. The practical consequence: any testing program built on Optimize now has to migrate to an alternative, and the old setup guides no longer apply.

## Current A/B testing tools

![How A/B testing works: traffic split, variants and the statistical winner](https://www.webtures.com/images/insights/google-optimize-alternatives/section-2.svg)![How A/B testing works: traffic split, variants and the statistical winner](https://www.webtures.com/images/insights/google-optimize-alternatives/section-2-light.svg)

| Tool | Strength | Best fit |
| --- | --- | --- |
| VWO | Visual editor and heatmaps in one place | Mid-sized teams |
| Optimizely | Enterprise experimentation infrastructure, server-side testing | Large teams |
| AB Tasty | Personalization and testing combined | Marketing-led teams |
| Convert | Privacy-focused, transparent pricing | Accessible for SMBs and lean in-house teams |
| Your own stack (server-side) | Full control, data ownership | Product teams with engineering resources |

## What to watch during the migration

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![Alternatives to Google Optimize for A/B testing and personalisation](https://www.webtures.com/images/insights/google-optimize-alternatives/section-3.svg)![Alternatives to Google Optimize for A/B testing and personalisation](https://www.webtures.com/images/insights/google-optimize-alternatives/section-3-light.svg)

1. **Rescue your experiment archive.** If the historical test results in Optimize were never exported, that institutional memory is gone; the list of winning variations should be carried into the new tool.

2. **Anchor measurement to GA4 events.** Whichever tool you choose, the conversion definition must live in a single source of truth (GA4); when in-tool metrics and GA4 tell different stories, no decision can be made.

3. **Protect statistical discipline.** The tool changes, the rules do not: pre-test sample size calculation, a 95 percent confidence threshold, and no early stopping.

## Can you start without a tool?

![A five-stage A/B test strategy and how to write a hypothesis](https://www.webtures.com/images/insights/google-optimize-alternatives/section-4.svg)![A five-stage A/B test strategy and how to write a hypothesis](https://www.webtures.com/images/insights/google-optimize-alternatives/section-4-light.svg)

On low-traffic sites there are cheaper steps to take before building full A/B infrastructure: locating the bottleneck with scroll and click maps, running sequential single-variable tests, and reading the outcome from the conversion funnel. The full approach is covered in our work on AI-driven A/B testing, and the Acıbadem success story shows step by step how such an experiment is set up in practice.

[Sinan Gergöy](https://www.webtures.com/authors/sinan-gergoy/) Sr. Visibility Executive

Published: 19 May 2022 Updated: 19 May 2022

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