| Product | Rating | Most Used By | Product Summary | Starting Price |
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 ABsmartly | N/A | ABsmartly is an A/B testing and experimentation tool for use across web, email, and apps, both server-side and client-side. The ABSmartly platform is designed for product teams and PLG-driven organisations who want to make data-driven decisions. The ABsmartly platform caters to various testing scenarios, including feature flags, split testing, multi-variant, multi-page, multi-platform, SEO tests, cross-device testing, among others. ABsmartly was founded by experimentation… | N/A | |
 Google Content Experiments (discontinued) | N/A | Google Content Experiments was a tool that can be used to create A/B test from within Google Analytics. It has been discontinued since 2019, and Google now recommends using its Google Optimize service for A/B testing. | N/A |
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | ABsmartly has an events-based pricing model, clients have unlimited experiments, metrics and platform users, and they pay per event. ABsmartly has no pricing tiers or packages, so all customers get all features, including the advanced Group Sequential Testing engine, real time data processing, and collaborative tools. ABsmartly handles the infrastructure costs and provides the platform, however if clients wish, they can handle the infrastructure on their side. ABsmartly's event-based plans start at €60,000/year for 50 Million events per month. ABsmartly includes onboarding, standard training and support at no extra cost. ABsmartly has 2 categories of billable events: Exposure events An exposure event happens every time a call is made to check which variant (of an experiment or a feature flag) to show a visitor. The number of exposure is dependent on the number of unique visitors, the number of experiments and the number of exposure per experiment. Exposure Events = {# unique visitors} x {# experiments} x {# experiment exposures} Goal events A goal event happens every time a goal is triggered by a visitor of an application. A goal is what is used to create an experimentation metrics and they usually represent an action taken by visitors, a click on a button, a conversion, a cancellation, etc. The number of goals events is dependent on the number of unique visitors, the number of goals and the number of goals exposures. Goal Events: = {# unique visitors} x {# goals} x {# goal triggers} | — | ||||||||||||||
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| Considered Both Products |  ABsmartly No answer on this topic |  Google Content Experiments (discontinued)  Mark Castaldo Marketing Web Developer Chose Google Content Experiments (discontinued) Google Website Optimizer was a better product but has been discontinued. We have also used Test and Target , which has more features but we have been doing fine with Google Content Experiments. Most testing situations can be handled with Google Content Experiments.  Antonio Segovia IT Applications Manager Chose Google Content Experiments (discontinued) Google Content Experiment cannot compete with Adobe Test and Target, Quadratics or even Optimizley. It is harder to use with no editing interface, so pages must be actually developed. It doesn't allow for any advanced segmenting or multivarient testing. But it is free, so …  Sam Wiltshire Web Marketing Specialist Chose Google Content Experiments (discontinued) Google CE is free, Optimizely isn't plus only until recently I found out that Optimizely can work with multiple goals, however, this was found by meeting their employees at a trade show and not via their website.  Lee Duong Conversion Manager Chose Google Content Experiments (discontinued) We'd use content experiments as a complimentary testing tool alongside more comprehensive testing packages out there. As a free testing tool it does the job for basic A/B testing.  John Mills Customer & Consumer Insight Manager Chose Google Content Experiments (discontinued) If you are looking for a more advanced great value for money solution I would recommend investigating Visual Website Optimizer. For a more powerful enterprise level solution with the option to have a fully managed service I would recommend Maxymiser.  Jenny DeGraff Design Optimization Manager Chose Google Content Experiments (discontinued) Google Content Experiments provides significantly more insight, historical data and analysis than Unbounce. However, if you do need a solution that offers a WYSIWYG editor, landing page hosting, and limited reporting and testing, Unbounce is a good all-in-one solution and that …  David Jackiewicz Marketing Manager Chose Google Content Experiments (discontinued) Google CE does a great job streamlining tools and features. Optimizely does not offer nearly the same amount of tools or resources that G CE does. I would use CE in the future but stay away from Optimizely. Google also has a lot more resources for accruing knowledge on it … |
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| Small Businesses |  Convert Experiences Score 9.9 out of 10 | Convert Experiences Score 9.9 out of 10 |
| Medium-sized Companies |  Dynamic Yield Score 8.3 out of 10 | Dynamic Yield Score 8.3 out of 10 |
| Enterprises | Dynamic Yield Score 8.3 out of 10 | Dynamic Yield Score 8.3 out of 10 |
| All Alternatives | View all alternatives | View all alternatives |
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| Likelihood to Recommend | - (0 ratings) | 9.0 (0 ratings) |
| Likelihood to Renew | - (0 ratings) | 7.5 (0 ratings) |
| Support Rating | - (0 ratings) | 8.0 (0 ratings) |
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| Likelihood to Recommend | No answers on this topic |
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| Cons | No answers on this topic |
Sam Wiltshire Web Marketing Specialist |
| Likelihood to Renew | No answers on this topic |
Jenny DeGraff Design Optimization Manager |
| Support Rating | No answers on this topic |
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| Alternatives Considered | No answers on this topic |
Mark Castaldo Marketing Web Developer |
| Return on Investment | No answers on this topic |
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| ScreenShots | ABsmartly Screenshots      |