RunPivot
Optimize sunset · Sept 20238 min read · Updated April 2026

Google Optimize alternatives in 2026

Google killed Optimize on 30 September 2023 and never built a replacement. Three years on, most teams are still running on workarounds — pasted JavaScript snippets, abandoned tabs, half-finished migrations. Here's the honest comparison of where to actually go next, and why the AI-native era changes the answer.

What actually happened to Google Optimize

Google Optimize was free, integrated with Google Analytics, and powerful enough that hundreds of thousands of teams used it as their default A/B testing platform. Then, in January 2023, Google announced the sunset. By 30 September 2023, the platform was gone. The official reason given was that Google wanted to "invest in third-party A/B testing integrations" with GA4 — a polite way of saying they were stepping away from the experimentation category entirely.

What's followed has been a slow, awkward migration. Some teams paid up for VWO or Optimizely and discovered the price tag was ten to fifty times what they expected. Others tried to roll their own with feature flags and analytics events. A surprising number simply stopped running experiments altogether — the friction of finding and learning a new tool was high enough that experimentation quietly fell off the roadmap.

  • Jan 2023

    Sunset announced

    Google notifies users that Optimize and Optimize 360 will be discontinued, citing a strategic shift toward GA4 partner integrations.

  • Sept 2023

    Platform shuts down

    30 September 2023. All experiments stop running. Historical data accessible only through a brief export window.

  • 2024

    Migration scramble

    VWO, Optimizely, AB Tasty, and Convert all run aggressive Optimize migration campaigns. Pricing complaints surface across G2 and Reddit.

  • 2025

    AI-native challengers emerge

    A new generation of platforms — Mida, RunPivot, others — launch with prompt-driven experimentation as the default, not an add-on.

  • 2026

    The honest reckoning

    Many teams are still on workarounds. The legacy alternatives have proven too expensive for the mid-market. The AI-native tools are catching up fast.

What you actually need in a replacement

Before evaluating tools, it helps to be honest about what made Optimize valuable in the first place. It wasn't the most advanced platform on the market — VWO and Optimizely had it beat on features. What Optimize gave you was a specific combination that's harder to replicate than it looks:

  • Free for real-world use — not a demo trial, not a hard cap that forced an upgrade after a week
  • No developer required — visual editor, point-and-click, marketers ran experiments independently
  • Native GA integration — experiments and analytics lived in the same data model
  • Fast time to first test — install the snippet, run an A/B, see results, ship the winner
  • No procurement cycle — sign up with a Google account, you're live

Any honest replacement needs to hit at least four of these five. Most of the legacy "Optimize alternatives" miss on at least two — usually price (no real free tier) and self-serve onboarding (sales-led only).

The serious alternatives, ranked

Here's an honest breakdown of every platform worth considering as a Google Optimize replacement in 2026. Ratings reflect how closely each replicates the Optimize experience for the typical user — a marketing or growth team that wants to run A/B tests without filing a Jira ticket.

Our pick

RunPivot

Closest 1:1 successor

RunPivot is the platform built specifically for the era after Optimize. AI-native from the ground up — describe a test in plain English, the platform reads your live page, generates on-brand variants, allocates traffic, and rolls out the winner automatically. The features Optimize had, plus the AI layer Google never built.

Where it wins

  • Free tier with 200k events, no credit card
  • Prompt-to-variant in plain English
  • Brand-aware AI learns your design system
  • Auto-rollout when a variant wins
  • Self-serve, live in 5 minutes
  • Transparent pricing: $99/mo paid tier

Where it's still growing

  • SOC 2 on roadmap, not yet certified
  • Newer brand than enterprise incumbents
  • Smaller integrations catalogue (growing)
Free tier: 200k events
Paid from: $99/mo
Setup: 5 minutes
VWO
Mid-market default
The most-recommended Optimize alternative on Reddit and G2 — and the one most teams regret choosing once they see the second-year bill. VWO is feature-rich and reliable, but pricing is modular: testing, heatmaps, personalisation, and integrations are sold separately, and MTU caps create budget surprises.

Where it wins

  • Mature platform with strong reliability
  • Comprehensive feature set
  • Established support team
  • Free tier exists (though limited)

Where it loses

  • Testing alone starts at $314/month
  • Heatmaps, personalisation are add-ons
  • MTU pricing creates overage surprises
  • AI features are bolted-on Copilots
  • Heavy script affects page speed
Free tier: LimitedPaid from: $314/mo testing onlySetup: Days
Mida
Lightweight AI-first
Mida positioned itself early as the lightweight, chat-driven A/B testing tool. Strong on script size, strong on time-to-test, with a generous 50k MTU free tier. A credible Optimize replacement for teams who want simple A/B without the bloat — though feature breadth is narrower than the alternatives.

Where it wins

  • Free tier up to 50k MTUs
  • Very lightweight script
  • AI-driven test creation via chat
  • Fast to set up

Where it loses

  • No multi-armed bandit allocation
  • No multi-page campaign support
  • Smaller feature breadth than VWO/Optimizely
  • Paid tier starts at $249/mo
Free tier: 50k MTUPaid from: $249/moSetup: Minutes
PostHog
Engineering-led teams
PostHog isn't really an Optimize alternative — it's a product analytics platform with experimentation built in. If your team is engineering-led and you want feature flags + analytics + experiments in one stack, it's powerful. If you're a marketing team that just wants to A/B test a hero headline, it's overkill and the wrong shape.

Where it wins

  • Generous free tier (1M events)
  • Open-source, self-hostable
  • Feature flags, analytics, experiments unified
  • Strong developer experience

Where it loses

  • Built for engineers, not marketers
  • No prompt-to-variant AI
  • Visual editor is secondary, not primary
  • Heavier learning curve
Free tier: 1M eventsPaid: Usage-basedSetup: Hours
Optimizely
Enterprise only
The category-defining enterprise platform. If you're a large organisation with a dedicated CRO team, established budget, and procurement processes, Optimizely is the safe choice. If you're a marketing team who used Optimize because it was free and fast, this is the wrong place to land.

Where it wins

  • Most comprehensive feature set
  • Strong enterprise compliance
  • Dedicated CSM and strategic support
  • Server-side and full-stack experimentation

Where it loses

  • Quote-only pricing, typically $50k+/year
  • No self-serve sign-up
  • Implementation timelines in weeks/months
  • Built for procurement, not marketers
Free tier: NonePaid from: Quote onlySetup: Weeks

The closest thing to Optimize, but better

Free tier, no credit card, live in 5 minutes — plus the AI layer Google never built.

Get started freeSee a demo

How to actually migrate this week

If you've been on a workaround since 2023, you've waited long enough. Here's the no-nonsense five-step plan to switch to RunPivot in an afternoon.

01

Export what you have

Pull any historical experiment data you've kept and document active tests with their variants and goals.

02

Install the script

One line in your <head>. Works on WordPress, Webflow, Shopify, Next.js, custom builds. No platform migration.

03

Connect GA4

RunPivot pushes experiment events into your existing GA4 setup, so reporting continues where Optimize left off.

04

Recreate active tests

Use the prompt editor to describe each test in plain English. RunPivot generates the variants in minutes.

05

Ship the backlog

The experiments you've been sitting on for three years? Get them live this week. That's the whole point.

Why the AI-native era changes the answer

When Optimize was sunset, the obvious move was to pick the next-best tool from the same generation — VWO, Optimizely, AB Tasty. Three years on, that calculus has changed. The platforms built before 2023 were designed around a workflow where humans wrote variants, designers built layouts, developers shipped code, and the testing tool sat at the end of that chain.

The AI-native generation collapses that chain. You describe the change. The platform reads your live page, generates on-brand variants, allocates traffic, finds the winner, and rolls it out. The marketer who used to wait six weeks for engineering capacity now ships in an afternoon.

If you're choosing a Google Optimize replacement in 2026, the question isn't "which legacy tool comes closest to Optimize." It's "which platform is built for the way experimentation actually works now." And that's a different shortlist.

Common questions about switching

The AI-native successor to Google Optimize.

Stop Guessing
Start Converting

Start building with RunPivot today.

Get Started→Talk to Sales