AB Tasty Not Good Enough For You? Try These Alternatives in 2026

Before we dip our feet into the nitty-gritties of each platform, let’s look at all of them at a glance

	Fibr	Optimizely	VWO	Adobe Target	Insider
Positioning	AI-powered CRO and experimentation platform	Enterprise experimentation and feature flags	All-in-one CRO suite	Testing and personalization inside Adobe Experience Cloud	Cross-channel personalization and CX platform
G2 Rating	4.6 / 5	4.2 / 5	4.4 / 5	4.1 / 5	4.8 / 5
Best for	Growth and performance teams focused on funnels and landing pages	Large organizations with mature experimentation programs	Teams wanting testing, plus heatmaps and behavior data	Enterprises already deep in the Adobe stack	E-commerce and consumer brands running multi-channel journeys
A/B testing scope	Web and landing page tests with AI-generated variants and GA4-based reporting	Web A/B, multivariate and full-stack experiments via SDKs	Web A/B, multivariate, split URL and server-side tests	A/B, multivariate, Auto Allocate and Auto Target	Web and in-app A/B tests as part of campaigns and journeys
Personalization/journeys	On-page personalization and always-on optimization	Rule and audience-based personalization	On-site personalization and recommendations	AI personalization and recommendations	Deep cross-channel personalization and predictive journeys
Integrations / data	Leaned toward GA4 and modern analytics stacks	Broad enterprise integrations and SDK ecosystem	Works with common analytics tools and CDPs	Tight with Adobe Analytics, AEM and Audience Manager	Connects to web, app, email, SMS, WhatsApp and others
Pricing structure	Free A/B tier plus clear, modern paid plan for AI suite	Custom enterprise contracts, typically high five figures and up	Free starter tier, paid plans scale with traffic	Fully custom enterprise pricing, generally five-figure plus deals	Quote-based, mid-market and enterprise oriented

1. Fibr

Via Fibr

If you are coming from AB Tasty and you want something that feels much more modern and automated, Fibr is the one to look at first.

Fibr is an AI-powered CRO platform that focuses on website personalization, experimentation, and performance optimization. Instead of treating A/B testing as a one-off project, Fibr uses a set of AI agents to keep running experiments, personalizing content, and tuning your pages in real time.

Fibr sits in a sweet spot for teams that want strong A/B testing without the usual cost and complexity. You can create, run, and analyze tests on any webpage with no hard caps on campaigns or sessions, which is a relief if you are used to traffic-based pricing. There is a dedicated AI A/B testing experience that helps you set up experiments quickly, generate multiple variants for headlines, CTAs, and layout elements, and then auto-analyze performance.

Fibr can plug into GA4 so you can keep all your attribution, revenue metrics, and experiment results in one place. The platform leans on different statistical models like Bayesian methods and classic Z tests, and selects an appropriate model based on your data, so non-technical teams do not need to obsess over stats settings.

Standout features

Pros of Fibr

Cons of Fibr

Fibr pricing

Compared to AB Tasty, Fibr comes across as a more AI native and pricing-friendly option, more so if your main focus is high velocity landing page and campaign experimentation rather than a heavy, all-purpose personalization suite.

Via Optimizely

Optimizely is one of the older, enterprise-focused experimentation platforms. It covers web A/B testing, full-stack feature experimentation, and personalization across websites, apps, and backend services.

On the web side, Optimizely Web Experimentation lets you run A/B and multivariate tests by adding a JavaScript snippet to your site, then creating experiments through a visual editor or code. It is built to work across any channel or device that can load that snippet.

For product and engineering teams, Optimizely Feature Experimentation adds SDK-based feature flags and experiments across web, mobile, and server-side environments. This is where you handle things like algorithm tests, backend logic changes, or gradual rollouts with flags.

Both products use Optimizely’s Stats Engine, a proprietary statistics framework based on sequential testing and false discovery rate control, so teams can peek at results while maintaining valid decisions.

Pros of Optimizely

Cons of Optimizely

Optimizely pricing

No transparent self-serve plans. Pricing is available only via sales, even for Web Experimentation.

1. VWO

Via VWO

VWO, formerly “Visual Website Optimizer”, is a SaaS platform focused on experimentation and digital experience optimization. It combines web A/B testing, feature management, behavioral analytics, and personalization into a single environment.

VWO Testing lets you set up A/B, multivariate, and split URL tests on your site using either a visual editor or a code-based editor. The visual editor is aimed at marketers who want to change copy, layouts, or UI elements without touching code, while developers can work directly in HTML, CSS, and JavaScript where needed.

VWO’s reporting is powered by a Bayesian stats engine called SmartStats. It is designed to handle peeking and multiple comparisons, and gives probability-based outputs so teams can see how likely a variation is to win, lose, or be equivalent to control. Recent updates added more control over statistical parameters and sequential style monitoring of experiments.

For more complex scenarios, VWO Feature Experimentation extends testing to the server side and mobile via SDKs, so you can run flags and experiments beyond just the website.

Pros of VWO

Cons of VWO

VWO pricing

Via Adobe Target

Adobe Target sits inside Adobe Experience Cloud as the testing and personalization product. It is aimed squarely at larger digital teams that want one environment to run A/B tests, personalization, recommendations and automation across web and mobile.

Target supports classic A/B tests, multivariate tests and a couple of AI-assisted flavors. You can build experiments in the Visual Experience Composer for front-end changes or use a form-based composer for more structured setups.

On the A/B testing side, you get three main activity types. Manual A/B tests, Auto Allocate, which automatically shifts more traffic to the better-performing variant over time, and Auto Target, which uses machine learning to personalize experiences to individuals rather than only picking a single global winner.

Target also plugs into Adobe Analytics and Adobe Advertising, so you can run experiments on landing pages from paid media and measure results inside Analytics with shared dimensions and events.

Pros of Adobe Target

Cons of Adobe Target

Adobe Target pricing

Custom quotes only with pricing based on traffic volume, feature set and deployment scale

1. Insider

Via Insider

Insider is a cross-channel customer experience and personalization platform. It brings together customer data, segmentation, automation and messaging so marketing and CX teams can create journeys across web, app, email, SMS, WhatsApp and more from a single interface.

Experimentation in Insider is inside its wider “Individualize” and “Experiment” capabilities. Teams can run A/B tests on web pages, in product experiences and across channels, trying different CTAs, layouts, images or message variants and tracking lift on key goals.

A big focus is on AI led segmentation. Insider uses predictive algorithms to build ready-to-use segments, such as likely purchasers or churn risks, then lets you split test experiences and campaigns specifically for those groups. Results for experiments roll up into unified reporting so you can see performance across touchpoints rather than only at the page level.

Pros of Insider

Cons of Insider

Insider pricing

If you zoom out across all five tools, a pattern shows up pretty quickly.

For teams leaving AB Tasty, the real question is less “which tool has the longest feature list” and more “which one will actually help us run more good tests this quarter”. That is where Fibr stands out. With Fibr, you get

The other platforms absolutely have strong capabilities, especially for very large organizations with complex stacks. But if you care about getting things done faster on landing pages, funnels, and campaign performance, Fibr is usually the best upgrade from AB Tasty.

Learn how Fibr compares to AB Tasty in detail here.

1. Where does Fibr fit compared to “old school” experimentation tools?

Fibr is closer to an AI-powered CRO assistant than a traditional testing suite. Instead of just handing you a test builder and stats, it helps with copy, ideas, and setup, then uses modern analytics integration so you are not juggling yet another reporting layer.

If Optimizely, VWO, and Adobe Target feel like big control panels, Fibr feels more like a focused companion for landing pages and funnels.

1. How do I decide between Fibr and something like Optimizely or Adobe Target?

   A simple way to think about it:

1. Can Fibr really replace AB Tasty for day-to-day work?

For many teams, yes. If your main use case is web and landing page A/B testing, message and layout experiments, and ongoing CRO on your funnels, Fibr covers those bases and adds AI help on top. Where it differs is in not trying to be a huge, generic experience suite, which keeps it simpler to roll out and maintain.

1. Does switching from AB Tasty to another tool mean I lose my historical data?

You will not be able to “replay” old AB Tasty experiment reports inside a new platform, but you can usually export key results and archive them in your analytics tool, documentation, or data warehouse.
The bigger priority is setting up solid tracking in GA4 or your warehouse so future experiments, regardless of the tool, have a single source of truth for metrics. Fibr leans into that pattern by integrating with GA4 rather than forcing you into a standalone reporting island.

1. How should a small team choose between VWO, Insider, and Fibr?

For a small or mid-sized team

1. How do I explain the move to stakeholders who only care about revenue?

To convince stakeholders, anchor the story in outcomes and effort. Show how