Five best A/B testing tools for product managers in 2024

Imagine walking through a dark forest without a compass. That's product development without A/B testing.

And often, experimentation is seen or used as a final step to validate decisions.

Research gets completed. Ideas get built. Everything is set up for launch.

Only then tested.

However, treating experimentation as an afterthought is a critical mistake. Because what if the wrong idea was built from the start?

In 2024, you need to integrate A/B testing into your product development process.

Today, see the best A/B testing tools and how to integrate them, in your ideation to post-launch process.

Product managers, we've all been there:

You're 100% not alone. But "Ship fast and break things" is so 2010. No one loves a bad product. You need to do better and for that you need experimentation.

Here's why:

So, you need to introduce experimentation early in the development process.

Testing your hypotheses early on in the ideation space can make space for bigger and better ideas.

You can avoid assumptions about what matters. Like:

The magic happens when you embrace experimentation across the digital product lifecycle.

No, experimentation isn't just for tweaking button colors. During the entire product development lifecycle, it'll help you prove ideas before developing, prioritize the best ones (saves you from building stuff no one wants), and deliver without risks.

Example: Dropbox's famous MVP video. They A/B tested a simple explainer video before writing a single line of code.

Example: Instagram gradually rolled out 'Add notes to reels and feed posts' recently. They tested, tweaked, and expanded slowly.

Example: Netflix's personalized thumbnails. They A/B test everything to keep you binging.

Remember, for a smooth, high-quality launch, you need to constantly support a launch till the adoption goals.

Align leadership to a phased launch, defining each phase, target audiences, learning objectives, and key metrics. Then, gather insights at every phase, prioritize feedback into blockers, needs, and non-essentials, and focus on the blockers to progress.

Here are five tools you should consider:

Don't focus on the features you'll never touch. Pick the tool that fits your workflow, your team, and most importantly, your budget.

Here are two use cases showing how real businesses leveraged A/B testing ideas to gain control over how they delivered a new feature.

Quip, a leading brand in the oral healthcare space, faced the challenge of improving customer lifetime value (CLV) through its subscription model. They wanted customers to purchase more refillable products.

The company used feature flags to test adding a quantity selector for refills earlier in the checkout process. Quip was able to validate their hypothesis without risking a full rollout. The new PDP variant with the quantity selector proved successful, leading to increased conversion rates and higher subscription values by providing more options upfront.

Product Detail Page (PDP) optimization test

Ambassador Theatre Group (ATG) wanted more visitors to book tickets on their first visit. They identified a significant drop-off rate during the seat selection process, reaching as high as 82%.

ATG used feature flags to test changes in the seat selection step, allowing for quick rollbacks if needed. Overall, this simplified the seat selection process on mobile devices.

Mobile seat selection optimization

Integrating A/B testing throughout your product lifecycle isn't just smart—it's essential. From ideation to post-launch, it's about validating ideas, prioritizing features, and launching with confidence.

Three takeaways to keep you going:

Ready to level up your experimentation game? Dive deeper into implementing testing earlier in your process with this product experimentation guide.