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FeatureHub Pricing

Free Trial

Not available

Pricing Options

Premium Plans ( Open-source )

Pricing Plans

Disclaimer: The pricing details were last updated on 24/04/2023 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

Pricing Insights for AB Testing Software

  • The Average Cost of a basic AB Testing Software plan is $29 per month.

  • 37% of AB Testing Software offer a Free Trial Allows users to try out the software for a limited period before making a purchase decision. , while 15% offer a Freemium Model Allows users to access basic features at no cost..

FeatureHub FAQs

How much does FeatureHub cost?

FeatureHub is a free software.

Learn more about FeatureHub pricing.

Does FeatureHub offer a free plan?

Yes, FeatureHub offers a free plan.

Learn more about FeatureHub pricing.

Compare FeatureHub Pricing Against Competitors

Product Name Starting Price ($) Billed Unit Free Trial Learn More
FeatureHub FeatureHub - - - FeatureHub Pricing
AB Tasty AB Tasty - - - - AB Tasty Pricing
ABlyft ABlyft - - - - ABlyft Pricing
Dual Kind Dual Kind - - - - Dual Kind Pricing
TeStack TeStack - - - - TeStack Pricing
Apptimize Apptimize - - - - Apptimize Pricing
Increab Increab 6 per month - + Increab Pricing
Bunchbox Bunchbox - - - - Bunchbox Pricing
Juggler.dev Juggler.dev 7.5 per month - + Juggler.dev Pricing
Airdeploy Airdeploy 64 per month - - Airdeploy Pricing

Free Software Alternatives to FeatureHub

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FeatureHub Features

AB Testing Features

  • Features: The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more
    76%

Test Scheduling

Allows the user to test the application at the scheduled time

Surveys

Optimize survey response rate with A/B testing

Split Testing

Splits web traffic among the different variations of a webpage being tested

Audience Targeting

Allows you to serve different versions of a page to a different set of audience

Visual Editor

Enables users to quickly edit and make changes to the original content, webpages, widgets, and other components and create modified versions of the same in real-time.

Statistical Relevance Analysis

Helps in knowing if the result achieved by testing the data is statistically significant or not

Multivariate Testing

Allows testing different variations of multiple webpage elements to find the best one among them

Landing Pages (Web Forms)

A webform or a popup which can be used to capture the lead or ask user his preferences

Heatmaps

Heatmaps show where users have clicked on a page

Funnel Analysis

Helps in analyzing and understanding the user's journey stepwise to reach informed decisions, for ensuring better web outcomes.

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