- Visual Editor
- Statistical Relevance Analysis
- Split Testing
- Multivariate Testing
- Funnel Analysis
Empower your app with A/B testing.
(18 ratings)
Apptimize offers custom pricing plan
Overview
Features
Pricing
Alternatives
Media
FAQs
Support
8.5/10
Spot Score
You can also consider
Apptimize is a platform for beta testing native iOS or Android app. It is a hosted service that enables to A/B test app features, ad campaigns, and even in-app purchases. Apptimize makes it easy to experiment with changes to app ... Read More
A Visual Editor is a software tool designed to simplify the process of creating and editing visual content, such as graphics or web pages. It allows users to interact visually with their content without needing to know how to code or use complex design software. Using a Visual Editor, users can simply drag and drop elements, such as images, text boxes, and buttons onto a blank canvas, and then customize them by changing colors, fonts, and sizes. This provides a more intuitive and hands-on approach to content
Statistical relevance analysis is a process used by software programs to determine the statistical significance of data. This feature is commonly found in data mining, machine learning, and analytics software. It enables the user to analyze a large amount of data to determine the correlation between different variables and identify any patterns that may exist. The process of statistical relevance analysis starts by defining the variables that need to be analyzed and determining the type of relationship between them. This can include variables such as customer demographics, sales data, or
Split testing, also known as A/B testing, is a software feature that allows users to compare two versions of a webpage, app, or email to see which one performs better. This is done by dividing the traffic or audience into two equal groups and showing them each version. The performance of each version can be measured by tracking metrics such as click-through rates, conversions, or engagement. This feature is essential for businesses and organizations that want to make data-driven decisions and improve their online presence. It
Multivariate testing is a process for testing a hypothesis by changing numerous factors. Multivariate testing aims to determine which combination of variants performs the best out of all the options. Websites and smartphone applications are made up of a variety of interchangeable components. A multivariate test entails changing multiple items simultaneously, such as an image and a headline. Three photo variations and two headline variations are merged to create six material variations, all of which are checked at the same time to determine the winning variant. Numerous aspects on the same page are altered in tandem to increase a single conversion objective, such as signups, clicks, form completions, or shares.
Funnel analysis is a way of determining the steps required to accomplish a specific conclusion on a website, as well as the number of users who complete each stage. Because the standard shape visualizing users' flow is similar to a funnel in your kitchen or garage, the sequence of stages is referred to as a "funnel." For example, consider a hypothetical e-commerce company whose ultimate goal is to get visitors to make a purchase. Visiting the site, adding a product to the shopping basket, clicking to check out, and completing the purchase are required steps to purchase on our site. Objectives or micro conversions are other names for these processes.
Audience targeting is a powerful software feature that allows businesses to effectively reach and engage with their target audience. It enables companies to identify and segment their audience based on demographics, behavior, and interests, and then create personalized marketing campaigns tailored to their specific needs and preferences. With audience targeting, businesses can refine and optimize their marketing efforts, as they can focus on the most relevant and interested individuals. This feature also helps businesses understand their audience better, by providing valuable insights and analytics on their behaviors and interactions
Yearly plans
Show all features
STANDARD FEATURE FLAGS
Free Feature Flags
Team Administrative Controls
Targeting and Segmentation
Data export via API
Bonus: 30 Day Full-Feature Trial
ADVANCED FEATURE FLAGS
Unlimited Feature Flags
Team Administrative Controls
Targeting and Segmentation
Pilot Users Targeting
Full Data Export Capabilities
Automatic Event Importing
ENTERPRISE A/B EXPERIMENTS + FEATURE FLAGS
Cross-Platform A/B Experiments
Instant Updates
Results Dashboard
Screenshot of the Apptimize Pricing Page (Click on the image to visit Apptimize 's Pricing page)
Disclaimer: Pricing information for Apptimize is provided by the software vendor or sourced from publicly accessible materials. Final cost negotiations and purchasing must be handled directly with the seller. For the latest information on pricing, visit website. Pricing information was last updated on .
Contact
+1 415-829-2193
Customer Service
24/7 (Live rep)
Business Hours
Online
Location
San Francisco, CA
Apptimize is a platform for beta testing native iOS or Android app. It is a hosted service that enables to A/B test app features, ad campaigns, and even in-app purchases. Apptimize makes it easy to experiment with changes to app to see what drives the most engagement from users. Whether it's a new feature or a different experience for an existing feature, the easiest way to find out is through experimentation.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
Researched by Rajat Gupta