AB test idea: Make the free plan less visible

AB test adjusting the visibility of the free plan on the pricing page‍

Try adjusting the visibility of the free plan option on your pricing page to encourage users to explore and consider paid plans. While offering a free plan can attract users, making it less prominent can incentivize users to upgrade to paid plans, thereby increasing revenue and improving user value.

Evaluate your current pricing page layout and assess opportunities for adjusting the visibility of the free plan option, such as reducing its prominence, placing it in a separate section, or limiting the information provided about the free plan. Consider factors such as user motivations, pricing psychology, and competitive analysis when determining the optimal approach for testing.

How to test‍

In this A/B test, create multiple variations of the pricing page layout, each adjusting the visibility of the free plan option in different ways. Experiment with variations in placement (moving it further down the page), formatting (smaller font size or less prominent color), and accompanying messaging (highlighting the benefits of paid plans over the free plan) to determine the most effective approach for encouraging users to consider paid options.

Display different pricing page variations to users and measure their impact on key metrics such as conversion rates. Segment your audience based on factors such as user demographics, behavior, or referral source to analyze the effectiveness of each pricing page variation for different user segments.

Monitor user behavior data and track user interactions with each pricing page variation to identify any differences in conversion rates or engagement patterns. Based on insights from A/B testing results and user feedback, determine the optimal visibility strategy for the free plan option that maximizes revenue and user value for your SAAS website. Implement the preferred pricing page variation across your website and continue to iterate on it based on ongoing testing and optimization efforts.

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