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ABlyft Pricing

Free Trial

Not available

Pricing Options

Freemium ( Limited Features )

Premium Plans ( Subscription / Quotation Based )

Pricing Plans

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Disclaimer: The pricing details were last updated on 08/12/2020 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..

ABlyft FAQs

How much does ABlyft cost?

ABlyft is a free software.

Learn more about ABlyft pricing.

Does ABlyft offer a free plan?

Yes, ABlyft offers a free plan.

Learn more about ABlyft pricing.

Compare ABlyft Pricing Against Competitors

Product Name Starting Price ($) Billed Unit Free Trial Learn More
ABlyft ABlyft - - - ABlyft Pricing
AB Tasty AB Tasty - - - - AB Tasty Pricing
UseItBetter UseItBetter - - - + UseItBetter Pricing
Dual Kind Dual Kind - - - - Dual Kind Pricing
Bunchbox Bunchbox - - - - Bunchbox Pricing
Maxymizely Maxymizely 19 per month - + Maxymizely Pricing
Juggler.dev Juggler.dev 7.5 per month - + Juggler.dev Pricing
SplitWit SplitWit 25 per month - + SplitWit Pricing
Nelio A/B Testing Nelio A/B Testing 29 per month - - Nelio A/B Testing Pricing
Webtrends Optimize Webtrends Optimize - - - + Webtrends Optimize Pricing

Free Software Alternatives to ABlyft

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ABlyft 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
    95%

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.

Test Scheduling

Allows the user to test the application at the scheduled time

Statistical Relevance Analysis

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

Split Testing

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

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

Funnel Analysis

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

Audience Targeting

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

Surveys

Optimize survey response rate with A/B testing

Heatmaps

Heatmaps show where users have clicked on a page

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