ABsmartly vs. Statsig

Statsig

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
ABsmartly	Score 9.7 out of 10	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
Statsig	Score 0.0 out of 10	N/A	Statsig is a feature management with feature flags, pulse, holdouts, from the company of the same name in Bellevue.	N/A

Pricing

ABsmartly

Statsig

Editions & Modules

No answers on this topic

Enterprise: Custom
annual pricing

Offerings

Pricing Offerings
ABsmartly	Statsig
Free Trial
No	No
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

Entry-level 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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More Pricing Information

Community Pulse
	ABsmartly	Statsig
Considered Both Products	ABsmartly No answer on this topic	Statsig Verified User Anonymous Chose Statsig Mixpanel and LaunchDarkly Incentivized Helpful? Verified User Anonymous Chose Statsig Statsig is easier to use and has more tools for analysis, though we were working with the open source version of Flagsmith, merely to handle feature flags, and using Heap and homegrown tools for manual analysis, so the Cloud version may be different Incentivized Helpful?

Best Alternatives
	ABsmartly	Statsig
Small Businesses	Convert Experiences Score 9.9 out of 10	GitLab Score 8.7 out of 10
Medium-sized Companies	Dynamic Yield Score 8.3 out of 10	GitLab Score 8.7 out of 10
Enterprises	Dynamic Yield Score 8.3 out of 10	GitLab Score 8.7 out of 10
All Alternatives	View all alternatives	View all alternatives

User Testimonials
	ABsmartly	Statsig
Likelihood to Recommend	No answers on this topic	Statsig is well suited for running straightforward a/b tests on frontend deployments. We've actually used it to log events on our backend and used the HTTP API to integrate with tools like Hubspot to evaluate email campaigns Incentivized Verified User Anonymous Read full review
Pros	No answers on this topic	Clear experimentation insights and details Experimentation health and performance ratings Statistical analysis of in flight work Incentivized Verified User Anonymous Read full review
Cons	No answers on this topic	Complex data science focussed UI Incentivized Verified User Anonymous Read full review
Usability	No answers on this topic	For the most part it is pretty easy to use. - There are some quirks with the javascript SDK (getExperiment().getValue?). - The Events vs. Metrics design pattern is complex, and creating new Metrics from Events can be frustrating if you are trying to use event metadata - It's really frustrating not to be able to link Static IDs (before a user signs up) to User IDs, in order to follow users all the way through onboarding, or to log events that occur for signed in users when you are exposing the experiment to users before they've signed up Incentivized Verified User Anonymous Read full review
Alternatives Considered	No answers on this topic	Incentivized Verified User Anonymous Read full review
Return on Investment	No answers on this topic	We uncovered several feature releases that were causing a negative impact on our product activation rate by running exclusion experiments Incentivized Verified User Anonymous Read full review
ScreenShots	ABsmartly Screenshots