Google Optimize Sunset: Preparing for Transition and Finding Alternatives

Overview

Optimizing websites, contextual advertisement, using A/B testing tools, addressing message mismatches, and more are crucial for performance. Two prominent options were Google Optimize (free version) and Google Optimize 360 (paid enterprise version), both discontinued in September 2023.

What Were Google Optimize and Google Optimize 360?

Google Optimize and Google Optimize 360, though discontinued in September 2023, were A/B testing platforms designed to help businesses improve their website's performance.

Google Optimize (Free Version)

Google Optimize offered A/B testing functionalities to create variations of webpages and test which ones performed better in terms of conversions (e.g., signups, purchases). It catered to businesses of all sizes, especially those new to website optimization.

Google Optimize 360 (Paid Enterprise Version)

Google Optimize 360 offered similar functionality to Google Optimize, but with advanced features for larger organizations. It targeted enterprise-level businesses with complex websites and a strong focus on website personalization. In addition to all Optimize features, it provided:

Essentially, Google Optimize 360 offered all the functionalities of Google Optimize along with additional enterprise-grade features for more sophisticated website optimization strategies.

How the Google Optimize Sunset Affected Businesses

The Google Optimize sunset in September 2023 impacted businesses that relied on it for website optimization. The Google Optimize platform itself became inaccessible, meaning you couldn't create new experiments, edit existing ones, or view ongoing experiment results. Any A/B tests running on Google Optimize on September 30th automatically stopped, which could have disrupted ongoing optimization efforts and potentially led to data loss if results weren't downloaded beforehand.

Impact on Businesses Using Google Optimize 360

For businesses heavily reliant on Google Optimize 360, the impact was even more significant. Features specific to Optimize 360 — like advanced segmentation and personalization functionalities — were no longer accessible, and businesses had to find alternative solutions to maintain those capabilities. Integrating historical data from Optimize 360 with a new platform could have been complex, hindering analysis of long-term website performance trends.

Impact on Firebase A/B Testing

Google's mobile A/B testing platform, Firebase A/B testing, was not directly affected by the Google Optimize sunset (at least initially). However, future implications might arise, so staying updated on any changes related to Firebase is recommended.

Looking Towards a Post-Google-Optimize Era

Google announced they were working on making Google Analytics 4 (GA4) compatible with third-party testing tools, which would allow businesses to continue A/B testing within the GA4 platform. However, as of September 2023, there was no definitive timeline for this integration. Businesses also had to explore alternative A/B testing platforms to fill the gap left by Google Optimize, which might have incurred additional costs depending on the chosen solution.

Will Google Optimize and Google Optimize 360 Be Replaced?

As of March 29, 2024, there is no official confirmation from Google that they will directly replace Google Optimize or Optimize 360 with a similar tool. Google sunset both Optimize and Optimize 360 in September 2023 and has not launched a direct replacement with the same functionalities.

Google is working on making GA4 compatible with third-party A/B testing tools, suggesting they might not prioritize building their own standalone tool but instead focus on integrating with existing solutions. Firebase A/B testing for mobile apps remains unaffected, and it is possible Google might put more emphasis on this platform for website testing in the future. Overall, it is uncertain whether Google will develop a complete replacement for Optimize.

What Former Google Optimize Users Need to Consider

Data and Experiment Continuity

If you missed the opportunity to download your experiment data before September 2023, that data is likely lost. If you were able to download it, you will need a plan to store and analyze it — consider data visualization tools or integrating it with your new A/B testing platform if possible.

Finding a New A/B Testing Tool

Before selecting a new tool, identify your specific testing requirements: whether you primarily used basic A/B testing or leveraged advanced features like personalization from Optimize 360, and how much budget you have for a new solution. Explore popular A/B testing tools, each offering different features, pricing structures, and integration capabilities. Consider free trials or demos to test features before committing. Migrating historical data and ongoing experiments to a new platform might be complex, so ensure your chosen tool offers good data import options and support during the migration process.

Basic vs. Advanced Needs

If you primarily used Google Optimize (free version) for basic A/B testing, a free or freemium plan from alternative tools might suffice. If you relied heavily on features like personalization, you will need a more comprehensive A/B testing platform with those capabilities and should be prepared for potential additional costs.

Future Google Options to Monitor

While there is no confirmed timeline, Google is working on A/B testing integrations with GA4, which might be a viable option in the future, especially if you are already using GA4 for website analytics. Keep an eye on any future announcements regarding Firebase A/B testing as well.

Step-by-Step Guide to Migrating Off Google Optimize

Preparation (Before Migration)

  1. Download historical data (if applicable): Download all your historical experiment data, including experiment details, variations, and performance metrics. This data is crucial for future reference and informing your optimization strategy.
  2. Evaluate your needs: Analyze your website optimization goals and the features you heavily relied on in Google Optimize (basic A/B testing) or Optimize 360 (advanced features like personalization). This will guide your selection of a new platform.
  3. Define your budget: Consider how much you are willing to spend on a new A/B testing tool. Many platforms offer free plans with limited features, freemium models, and paid subscriptions with advanced functionalities.

Selecting a New A/B Testing Tool

  1. Research alternatives: Explore popular A/B testing tools, considering factors like ease of use, feature sets, customer support, and budget compatibility.
  2. Shortlist and test: Narrow down your options to a few top contenders. Utilize free trials or demos to test the user interface, experiment creation process, reporting features, and overall compatibility with your workflow.

Migration Process

  1. Data export and import: Explore the data import options offered by your chosen platform. Ideally, the platform should allow you to import historical experiment data and potentially even ongoing experiments depending on complexity.
  2. Experiment recreation (if applicable): If you could not import ongoing experiments directly, recreate them manually in the new platform, replicating the experiment setup, variations, targeting criteria, and goals.
  3. Integration with analytics: Integrate your new A/B testing platform with your website analytics tool (likely Google Analytics 4) to track experiment performance and website visitor behavior.

Post-Migration

  1. Testing and refinement: Thoroughly test everything to ensure the new platform functions as expected and refine any configurations or targeting settings if needed.
  2. Training and support: Familiarize yourself and your team with the new platform's functionalities. Many A/B testing tools offer helpful documentation, tutorials, or customer support to assist with this process.

Additional Migration Tips

Fibr AI as a Google Optimize Alternative

Among the alternatives that have emerged following the Google Optimize sunset, Fibr AI stands out as a strong option, particularly for users seeking an AI-powered alternative with advanced features.

Fibr AI offers a free demo, allowing you to experience the platform firsthand, evaluate its AI-powered features, and see if it aligns with your website optimization needs. The "best" alternative depends on your specific requirements, but Fibr AI — with its focus on AI personalization and potential for advanced features — presents a compelling option in the post-Optimize 360 world.

About this company

Fibr AI was founded in 2022 to solve the disconnect between hyper-targeted marketing channels (ads, email, search) and static website experiences. The platform combines software infrastructure, AI agents, and human-in-the-loop oversight to create personalized, dynamic web experiences at scale. It enables marketers to build AI-driven landing pages, run continuous experimentation, and personalize experiences based on ads, location, device, behavior, CDP/CRM data, and LLM-sourced traffic. The company is headquartered in Delaware, USA.

Founded 2022. Headquartered in Delaware, USA.

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Frequently asked questions

What is Fibr AI?
Fibr AI is an Agentic Web Experience Platform that transforms website URLs into intelligent, adaptive agents. Each page senses visitor intent, makes decisions, and reshapes itself in real time to deliver personalized web experiences.
When was Fibr AI founded?
Fibr AI was founded in 2022.
Where is Fibr AI headquartered?
Fibr AI is headquartered in Delaware, USA.
Who is Fibr AI built for?
Fibr AI is built for enterprises looking to personalize at scale, growing businesses starting their web optimization journey, and agencies or marketing affiliates looking to optimize websites for their clients.
What problem does Fibr AI solve?
Fibr AI addresses the disconnect where ads, email, and search are hyper-targeted and AI-powered, but website visitors land on the same static page regardless of where they came from. Fibr makes the website itself as intelligent and context-aware as the marketing channels driving traffic to it.
How does Fibr AI personalize web experiences?
Fibr AI uses AI agents combined with human oversight to detect visitor signals, decode intent, and rewrite page experiences in real time. Personalization can be based on ads, location, device, browser, behavioral signals, visit frequency, LLM-sourced traffic, CDP data, CRM data, and custom audiences.
What results does Fibr AI claim to deliver?
Fibr AI claims results including +28% higher ROI from AI-driven personalization, +30% lower customer acquisition cost (CAC) from intent-based targeting, and 4X more leads from personalizing experiences at scale.
What are the pricing plans offered by Fibr AI?
Fibr AI offers three plans: a Starter Plan for growing businesses (up to 1,000 experiences), an Enterprise Plan for large organizations requiring unlimited visitor sessions and unlimited domains/URLs, and an Agency Plan for agencies and marketing affiliates covering 10,000 monthly visitor sessions and 5 unique URLs.
What features are included in the Enterprise plan?
The Enterprise plan includes Web-Journey Personalization, LLM-Traffic Personalization, AI Landing Page Creator, Customized Agentic Workflows, White-Glove Assistance, CDP/CRM and Analytics integration, On-Brand Agent Training, and 24/7 Dedicated Support with unlimited visitor sessions and unlimited domains and URLs.
What security and compliance certifications does Fibr AI have?
Fibr AI states alignment with SOC 2, ISO 27001, GDPR, and CCPA standards.
What integrations does Fibr AI support?
Fibr AI integrates with CDP (Customer Data Platform), CRM systems, and analytics platforms.
Does Fibr AI support A/B testing and experimentation?
Yes. Fibr AI includes an Experimentation Suite that provides AI-powered hypothesis creation, automated variant creation, audience-based experimentation, statistical significance monitoring, traffic allocation setup, and continuous learning and iteration.
How does Fibr AI handle AI ethics and human oversight?
Fibr AI states that its agents adapt experiences without manipulating them, and that it prioritizes transparency, security, and human oversight at every layer. The platform operates with a 'humans-in-the-loop' model where human allies guide strategy, brand alignment, and key decisions.
How do I get started with Fibr AI?
Fibr AI directs prospective customers to book a demo to get started.
When was Google Optimize discontinued?
Google Optimize (free version) and Google Optimize 360 (paid enterprise version) were both discontinued in September 2023. Any active A/B tests automatically stopped on September 30, 2023, and the platform became inaccessible.
What happened to my Google Optimize experiment data after the sunset?
If you did not download your experiment data before September 2023, that data is likely lost. If you were able to download it before the shutdown, you can store and analyze it using data visualization tools or integrate it with a new A/B testing platform.
Is Google releasing a replacement for Google Optimize?
As of March 29, 2024, there is no official confirmation from Google that they will directly replace Google Optimize or Optimize 360 with a similar standalone tool. Google is working on making GA4 compatible with third-party A/B testing tools, but no definitive timeline has been confirmed.
Was Firebase A/B Testing affected by the Google Optimize sunset?
Google's mobile A/B testing platform, Firebase A/B Testing, was not directly affected by the Google Optimize sunset, at least initially. However, staying updated on any future announcements related to Firebase A/B testing is recommended.
What should former Google Optimize 360 users look for in an alternative?
Former Optimize 360 users who relied on advanced features like personalization and advanced segmentation will need a more comprehensive A/B testing platform with those capabilities. They should be prepared for potential additional costs and should evaluate tools that offer data import options to assist with migrating historical experiment data.
How do I migrate from Google Optimize to a new A/B testing platform?
The migration process involves three phases: preparation (downloading historical data, evaluating your needs, and defining your budget); selecting a new tool (researching alternatives and testing via free trials); and migrating (importing data, recreating experiments if needed, and integrating with an analytics platform like GA4). After migration, thoroughly test the new platform and train your team on its use.
What makes Fibr AI a strong Google Optimize alternative?
Fibr AI leverages AI to personalize website content and style in real-time based on visitor behavior and demographics, which can lead to a more engaging user experience and potentially higher conversion rates. It also offers a user-friendly interface and advanced features such as advanced segmentation and potentially multivariate testing — capabilities comparable to those previously offered by Optimize 360.

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