Google Killed Optimize in 2023. 3M Websites Lost Free A/B Testing. VWO Wants $393/mo.

• The Opportunity: 2 to 3 million websites lost free A/B testing when Google Optimize was discontinued. The remaining tools start at $198/mo (VWO) to $50K/year (Optimizely). A flat-rate $29/mo tool for simple website experiments is a wide-open gap.
• Market Size: The A/B testing tools market reached $850M in 2025 and is growing at 11.5% CAGR. With millions of websites that previously used Google Optimize now unserved, even capturing 0.05% of the displaced user base yields 1,000+ customers.
• Revenue Potential: At $29/mo flat pricing, 400 customers yields $11,600 MRR. Conservative path to $8K MRR within 12 months; optimistic scenario reaches $23K MRR with organic growth from SEO and community channels.
• Buildability: A/B testing is fundamentally simple: inject a JavaScript snippet, randomly assign visitors to variants, track conversions, report results. A solo developer familiar with JavaScript and a modern web framework can ship an MVP in two to three weeks.
• Competitive Edge: Flat pricing (no MTU-based scaling), no sales calls required, visual editor for non-technical users, and a focus on simplicity over enterprise features. Position as "the Google Optimize replacement that costs less than lunch."
• Timing: Two and a half years after Google Optimize's shutdown, most displaced users either stopped testing entirely or adopted expensive enterprise tools they barely use. The window for a simple, affordable replacement is still wide open.

⚠️ Honest take: VWO ($198/mo), Optimizely ($50K/year), and Convert ($199/mo) have all abandoned small websites, but GrowthBook's free open-source tier is your real threat at the developer audience, not those enterprise platforms. Crazy Egg at $29-99/mo and Zoho PageSense at $17/mo are your actual direct competition at this price point. The hard commercial reality is that most small website owners who lost Google Optimize have now gone 18 months without A/B testing and concluded they can survive without it, which means your first job is selling the habit before selling your specific tool.

The Problem & Opportunity

Conversion rate optimization through A/B testing is one of the highest-ROI activities a business can perform on its website. Yet since Google discontinued Optimize in September 2023, millions of small and mid-sized websites have been left without an accessible, affordable way to run experiments. The tools that remain were built for enterprise teams with dedicated CRO specialists, not for a solo founder who wants to test whether a green button converts better than a blue one.

🎯 The Opportunity

Google Optimize was the default A/B testing tool for the long tail of the internet. It was free, it integrated seamlessly with Google Analytics, and it required minimal technical knowledge to set up. Estimates suggest 2 to 3 million websites relied on it before the shutdown. When Google pulled the plug on September 30, 2023 (with no plans to bring A/B testing to GA4), these users were left with three options: stop testing, build something custom, or pay for an enterprise tool.

The enterprise options are staggeringly expensive for what they offer. VWO (Visual Website Optimizer) no longer publishes public pricing, but real user reports indicate Growth plans start at $198 to $314 per month, Pro plans at $531 to $972 per month, and Enterprise plans above $1,265 per month. Convert.com starts at $399 per month. Optimizely requires annual contracts starting above $50,000. AB Tasty operates on custom pricing typically around $400 per month. These prices make sense for large e-commerce sites running hundreds of concurrent experiments, but they are absurd for a small business testing a landing page headline, a SaaS founder comparing pricing page layouts, or a blogger experimenting with call-to-action placement.

The few affordable alternatives that exist (Crazy Egg at $29 to $249/mo, Zoho PageSense at $29/mo) treat A/B testing as a secondary feature bundled with heatmaps or other analytics. They lack the focused, purpose-built experience that Google Optimize provided. GrowthBook is open-source and excellent but requires self-hosting and developer time to configure, putting it out of reach for non-technical marketers.

The gap is clear: a managed, hosted A/B testing tool that costs $29/mo, requires only a JavaScript snippet to install, includes a visual editor for non-technical users, and provides clear statistical results. No MTU limits that punish traffic growth. No sales calls. No annual contracts. Just simple experiments for simple websites.

👤 Ideal Customer Profile

The primary customer is a small business owner, indie hacker, or marketing professional who runs one to five websites and wants to improve conversion rates through experimentation. They previously used Google Optimize or have heard about A/B testing but found existing tools too expensive or complex to justify. They are willing to pay $29/mo for a tool that demonstrably improves their conversion rates, because even a 5% improvement on a landing page that generates $5K/mo in revenue pays for the tool many times over.

Specific customer segments include:

Indie SaaS founders: Running a SaaS product with a marketing site, pricing page, and signup flow. They want to test headlines, CTAs, and pricing page layouts to improve trial signups. Current behavior: they guess what works or ask for feedback on Twitter/Reddit instead of running actual experiments.

Small e-commerce operators: Running Shopify, WooCommerce, or custom stores with 1,000 to 100,000 monthly visitors. They want to test product page layouts, checkout flows, and promotional banners. Current behavior: they rely on Shopify's basic A/B testing (limited to themes only) or do not test at all.

Freelance marketers and consultants: Managing landing pages for multiple clients. They need a tool they can deploy across client sites without charging each client $400/mo. Current behavior: they either include VWO costs in their retainer (eating into margins) or skip testing and rely on "best practices."

Content creators and bloggers: Running WordPress or static sites with ad revenue or affiliate income. They want to test headlines, ad placements, and email signup forms. Current behavior: they make changes and hope the numbers go up.

Demographic signals: active on r/marketing, r/DigitalMarketing, r/PPC, r/Entrepreneur, r/SaaS. They search for "Google Optimize alternative", "free A/B testing tool", and "how to A/B test my website." Their total monthly tool spend is under $300/mo, making them price-sensitive for any individual tool.

🔥 Why Now

Several converging factors make this the perfect time to build a simple, affordable A/B testing tool:

The Google Optimize gap persists. Over two years after the shutdown, Google has confirmed it has no plans to bring A/B testing to GA4. The "maybe Google will bring it back" holdouts have given up. The market has permanently lost its free option, and no comparable replacement has emerged at the same accessibility level.

Enterprise tools keep raising prices. VWO moved from published pricing to "contact sales" quotes, a classic signal of upmarket movement. Convert raised its starting price to $399/mo. Optimizely's minimum contract continues to increase. Every quarter, the gap between "free" and "expensive" gets wider.

The A/B testing market is growing rapidly. The global A/B testing tools market reached $850 million in 2025 and is projected to grow at 11.5% CAGR, reaching $2.26 billion by 2034. This growth is driven by increasing awareness of CRO (conversion rate optimization) practices among smaller businesses, not just enterprise adoption.

Website experimentation is becoming mainstream. A/B testing was once considered an advanced growth technique. Today, every startup guide, marketing course, and SaaS playbook recommends it. The demand exists at the small-business level, but the tools serve the enterprise level. This mismatch creates opportunity.

Modern JavaScript frameworks make it easier to build. A snippet-based A/B testing tool can be built with vanilla JavaScript on the client side and a simple API on the server side. Edge computing (Cloudflare Workers, Vercel Edge Functions) enables server-side A/B testing with minimal latency. The technical barrier to building this product has never been lower.

📊 Validation & Proof

The demand for a simple, affordable A/B testing tool is well-documented across Reddit, developer forums, and marketing communities. Multiple data points confirm that the gap created by Google Optimize's shutdown persists: search demand is steady, pricing gaps remain wide, and users actively seek alternatives every month.

Demand Signals

The demand for affordable A/B testing tools is well-documented across Reddit, developer forums, and marketing communities. The consistent pattern: marketers who relied on Google Optimize are frustrated that every alternative requires a four-figure monthly budget.

In this r/PPC thread, marketers search for affordable Google Optimize replacements, noting that most alternatives have eye-watering monthly fees compared to Google's free offering.

In this r/DigitalMarketing thread, digital marketers discuss A/B testing replacements after Google Optimize's retirement, with Optimizely being a popular but expensive suggestion.

In this r/GoogleOptimize thread, users compare alternatives after the sunset, with mixed experiences including one user who crashed their checkout with Convert and others recommending lightweight free-tier options like Statsig.

In this r/GoogleAnalytics thread, users discover that GA4 has no native A/B testing capability after Google Optimize's sunset, leaving a gap for those without budget for GA360.

In this r/GrowthHacking thread, users compare VWO and Optimizely, noting that VWO offers A/B testing, heatmaps, and session recordings at a lower price point than Optimizely's enterprise-focused platform.

Market Proof

The A/B testing space has been validated by sustained market growth, significant funding rounds, and strategic acquisitions:

Market size and growth: The A/B testing tools market was valued at $850 million in 2025 and is projected to reach $2.26 billion by 2034 (11.5% CAGR). Web-based testing dominates with 49.6% market share, confirming that website A/B testing is the largest segment.

VWO's sustained growth: VWO (Wingify) has grown to serve 3,000+ enterprise customers and is one of the most recognized names in CRO. Their move upmarket (hiding pricing, requiring sales calls) signals that they are leaving the SMB segment behind.

GrowthBook adoption: GrowthBook, an open-source A/B testing platform, has gained significant traction on GitHub (6K+ stars) since Google Optimize's shutdown. This validates developer demand but also shows the gap: GrowthBook requires self-hosting and developer expertise, leaving non-technical users behind.

PageTest.ai launch: PageTest.ai launched in May 2025 specifically targeting the Google Optimize gap with a free A/B testing tool. This confirms market demand, but their free model raises sustainability questions and limits feature depth.

Convert's growth: Convert.com, one of the mid-market players at $399/mo, has been growing steadily and recently published content about the Google Optimize migration wave. Their $399 starting price shows that even the "affordable alternative to Optimizely" is still expensive for small teams.

Indie builder success: ExperimentHQ, a newer entrant explicitly positioned as "Google Optimize rebuilt properly," is gaining traction. Their existence and marketing angle validate both the demand and the specific positioning opportunity.

The Market

The A/B testing tools landscape has bifurcated sharply since Google Optimize's shutdown. On one end sit the enterprise giants with six-figure annual contracts. On the other end sit free tools with significant limitations. The middle ground, where a simple paid tool serves small businesses at an accessible price point, remains remarkably thin.

🏆 Competitive Landscape

The market participants can be grouped into three tiers:

Enterprise Tier ($200+/mo, sales-led)

VWO ($198-1,265+/mo, MTU-based pricing): The most widely known CRO platform. Offers A/B testing, multivariate testing, split URL testing, heatmaps, session recordings, and personalization. Strengths: visual editor, robust statistical engine (SmartStats), 3,000+ customers, extensive documentation. Weaknesses: pricing is opaque (no public prices), requires sales calls, MTU-based model punishes traffic growth, overkill for simple tests. Real user reports indicate Growth plans at $198-314/mo and Pro at $531-972/mo.

Optimizely ($50K+/year, enterprise contracts): The premium experimentation platform. Offers web experimentation, feature flags, content management, and commerce optimization. Strengths: industry-leading statistical rigor, server-side testing, massive scale capabilities. Weaknesses: minimum $50K/year contracts, requires dedicated CRO team, complex setup. Completely inaccessible for small businesses.

AB Tasty (~$400/mo, custom pricing): European-based CRO platform with visual editor, server-side testing, and personalization. Strengths: good visual editor, strong European market presence. Weaknesses: no public pricing, requires sales process, feature bloat for simple use cases.

Convert ($399/mo starting): Privacy-focused A/B testing platform. Strengths: GDPR-compliant, transparent methodology, good documentation. Weaknesses: $399/mo starting price is prohibitive for small teams, annual billing required for best rates.

Mid-Market Tier ($29-99/mo, self-serve)

Crazy Egg ($29-599/mo): Primarily a heatmap and session recording tool that includes A/B testing in its Standard plan ($49/mo) and above. Strengths: affordable entry point, visual snapshots, established brand. Weaknesses: A/B testing is a secondary feature (not the core product), limited statistical capabilities, test volume limits on lower plans.

Zoho PageSense ($29-115/mo): Part of the Zoho ecosystem. Offers A/B testing, heatmaps, funnel analysis, and session recordings. Strengths: affordable at $29/mo, integrates with Zoho suite. Weaknesses: best value only within Zoho ecosystem, fewer standalone features, smaller community.

Free / Open-Source Tier

GrowthBook (Free, open-source): Developer-focused experimentation platform. Strengths: free, open-source, feature flags, excellent Bayesian statistics, self-hosted control over data. Weaknesses: requires self-hosting (or paid cloud at $75/mo), developer-only (no visual editor for marketers), complex setup, no managed hosting for free.

PageTest.ai (Free): Launched May 2025 specifically as a Google Optimize replacement. Strengths: free, simple setup. Weaknesses: very new, unproven at scale, limited feature set, sustainability of free model is questionable.

Google Analytics 4 (No native A/B testing): Google has confirmed that A/B testing will not be integrated into GA4. While GA4 can measure experiment results if you build your own testing infrastructure, it does not provide experiment creation, traffic splitting, or statistical analysis.

🌊 Blue Ocean Strategy

The competitive landscape reveals a clear blue ocean opportunity. Map the market on two axes: price (vertical) and ease of use (horizontal).

In the top-left quadrant (expensive but powerful) sit VWO, Optimizely, AB Tasty, and Convert. They serve enterprise teams with dedicated CRO programs.

In the bottom-left quadrant (free or cheap but complex) sit GrowthBook and various open-source tools. They serve developers who are comfortable with self-hosting and configuration.

In the bottom-right quadrant (cheap and easy) sit only partial solutions: Crazy Egg includes A/B testing as a secondary feature, and Zoho PageSense is tied to the Zoho ecosystem.

The blue ocean is the bottom-right sweet spot: a managed, hosted, easy-to-use A/B testing tool at $29/mo that focuses exclusively on website experimentation. The positioning pillars are:

1. Flat pricing with no MTU limits. VWO and every enterprise tool charge based on "Monthly Tracked Users," which means your price increases as your traffic grows. A flat $29/mo removes this anxiety entirely. Whether you have 1,000 or 100,000 monthly visitors, the price stays the same.

2. Visual editor for non-technical users. The single feature that made Google Optimize accessible was its visual editor: click on an element, change the text or color, save. GrowthBook does not offer this. Most open-source tools do not either. The visual editor is what separates a "developer tool" from a "marketing tool."

3. One-line installation. Add a script tag to your site, and you are running experiments. No npm packages, no SDK configuration, no server-side setup for the basic use case. Same simplicity that Google Optimize offered.

4. Opinionated statistical defaults. Most marketers do not understand the difference between frequentist and Bayesian statistics. The tool should decide for them, run the math correctly, and display results in plain language: "Variant B converts 12% better with 95% confidence. We recommend switching."