- Solutions
- Pricing
- Resources
Analyze How Users Interact With Your Links
Redirect traffic to various landing pages using a simple split-testing approach, avoiding the need to share multiple links on your page. Optimize key elements like call-to-action placement, content, design, and more, leading to improved web traffic, engagement, and higher conversion rates.
Optimize the Traffic Funnel
Simultaneously, test up to 10 versions of the same URL. Set equal or custom traffic percentages to distribute traffic for each destination link strategically. Determine the winning URL that consistently delivers the most engagement.
Customizable Destination URLs
Easily manage your link destinations by adding, deleting, or editing them anytime, all without the necessity of generating new links. Adjust the traffic distribution to each destination in real-time, or completely replace the destinations as per your preferences.
Turn Visitors into Buyers
Experiment with the homepage design, product descriptions and shopping cart process to improve the customer shopping experience. Identify what type of content, design, graphics, navigational structures, checkout processes, etc., leads to a successful purchase.
Track & Improve Website Performance
A/B testing is an actionable and measurable way to analyze engagement on your website or any other URL. Advanced click tracking guarantees an improved conversion rate among repeat visitors. By monitoring clicks and views, you can improve your outbound links' efficiency with precision.
When to Run A/B Tests?
Run A/B tests when designing or redesigning a landing page for your marketing campaigns for e-commerce stores. Make data-driven decisions that lead to optimized results for your website and marketing initiatives.
Discover More
Frequently asked questions
A/B testing, also known as split testing, is a method used in marketing and web development to assess and improve the performance of digital content or experiences, such as websites, links, emails, ads, and more. It involves comparing two or more variations (A, B, C, etc.) of a specific element or feature to determine which one yields better results based on a predefined goal or metric.