A/B Testing Gets an Upgrade for the Digital Age
Amit Choudhary’s Post
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What Is A/B Testing? A Comprehensive Beginner’s Guide
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New to A/B testing? Learn how to run A/B tests from A to Z. ⚡ https://lnkd.in/ewjzku9N
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Hot take. A/B testing is too data-driven. As a full-stack marketer, you should know your funnel inside & out. And you should know what you’re hoping to improve with that test. In engineering, we call this the “dependent variable”. If the dependent variable isn’t immediately moving in the right direction, It’s probably a failed test.
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Feel like you're constantly facing less-than-ideal conditions for your A/B tests? Competing priorities... limited resources... or fewer users than you'd like for testing... Don't let subpar conditions stop you from running your A/B test! In our latest article, learn how to embrace imperfect testing conditions so you can make informed decisions regardless of the situation. Read the full piece here 👉 https://lnkd.in/gZG8v9sj
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Hot take. A/B testing is too data-driven. As a full-stack marketer, you should know your funnel inside & out. And you should know what you’re hoping to improve with that test. In engineering, we call this the “dependent variable” If the dependent variable isn’t immediately moving in the right direction It’s probably a failed test
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Finding a new AB testing platform is a large undertaking. If your business will be impacted by the Maxymiser sunset, check out our blog post to learn how to navigate this change. https://lnkd.in/erEJqpjC
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Beginner’s Guide to A/B Testing
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📊 A Quick Refresher on A/B Testing First made popular by Growth teams at top tech companies, A/B Testing is now common practice across Product and Marketing. Here’s a quick review of the fundamentals to make sure you’re up to speed: 1️⃣ What is A/B Testing?: It's a method to compare two versions of a webpage or app against each other to determine which performs better. By serving different versions to different users, you gather insights on what resonates. 2️⃣ The Power of Control and Variants: The 'A' (control) and 'B' (variant) are the versions being tested. The control is the existing version, while the variant is the modified one. This allows for a direct comparison. 3️⃣ Randomized Allocation: Users are randomly assigned to either the control or variant group. This minimizes bias and ensures that the test results are reliable and statistically valid. 4️⃣ Define Your Goals: Know what you're aiming to achieve - be it more clicks, sign-ups, or purchases. This clarity helps in setting up and measuring the test effectively. 5️⃣ Iterate and Optimize: Based on the results, make informed changes and continue testing. A/B testing is a dynamic process, not a one-time fix. Remember, A/B Testing isn't just for websites. It can be applied to emails, ads, and various aspects of your business. Embrace it as a powerful tool in your data-driven arsenal. What's been your experience with A/B Testing?
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A Beginner’s Guide to A/B Testing Landing Pages
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Lead Generation Specialist @Rigi | Digital Marketing, B2B Sales, Digital Media Strategy
4wHi Sir Currently running A/B Testing for cold email outreach to clients in sales domain and I must say it’s been a fun and super exciting process. A/B Testing gives you the knowledge about various CTA buttons, how their visibility - font, size and color affects a clients decision to interact with the product or landing page and how subject lines can be altered to encourage more customers/clients to engage with their mail. Thank you for sharing this article.