A/B Testing Before the Holiday Season – 6 CRO Tips

The holiday season is traditionally the peak season for ecommerce businesses—and it’s just around the corner! In order to maximize your revenue during this important period, you need to make sure you’re prepared.  

Conversion rate optimization is a crucial part of getting your store ready for the holidays, which means you need to be A/B testing the campaigns you’re planning to run.  

Let’s get started by going over why A/B testing is so necessary for maximizing a website’s conversion rate during the holiday season. 

Why is A/B testing important?

Everyone seems to agree that A/B testing has a significant role in any marketing strategy, but it’s especially important for short-term seasonal campaigns.  

Briefly, the process of A/B testing involves showing one version of a webpage to one group of visitors and another version to others. This allows you to compare how different offers, copy, and design choices lead to better or worse conversion rates, bounce rates, and revenue.  

The fact that your holiday campaigns are both short and high-stakes means that making data-driven decisions is essential. When you only have a few weeks to take advantage of seasonal excitement and Christmas shopping, you want to test as much as possible to make sure you’re converting as many visitors into customers as you can!

 For instance, if you run a store that sells custom hoodies with holiday designs A/B testing can help you discover whether showcasing different design elements, offering varying discounts, or using distinct promotional strategies better engage your potential customers.

A/B testing before the holiday season - 6 CRO tips

Now let’s move on to our 6 tips that will set you on the right track in the lead up to the holiday season. Each of these A/B testing tips will help you maximize your results.

1. Test different offers in your lead generation form

If you’d like to achieve a higher conversion rate on your sign-up forms, trying out different offers (like 10% off, $10 off, free shipping, BOGO, etc.) can improve the situation.

A/B testing can help uncover any problems with your offer, since it can be difficult to know for sure what type of offer will resonate best with your target audience.

The best way for online businesses to A/B test different variations of their seasonal offers is with OptiMonk’s Variant A/B testing feature.

2. Test landing pages with different value propositions

Do you have a low conversion rate on your landing pages? Finding the right USP for your website visitors can solve this problem and help lower your customer acquisition costs.

Split testing different variations of your headlines can help you find the perfect fit between your headline and the rest of your content.

Blendjet testing two different USPs.

OptiMonk’s Dynamic Content is the easiest way to run these A/B tests and make changes based on data rather than a “gut feeling.”

Learn more about this testing method and how to set it up here.

3. Automate A/B testing with the power of AI

A/B testing can often be a tedious manual task for ecommerce business owners and for marketers. Not only do you need to spend a lot of time creating multiple variations of your web page and setting up the testing process, you also need to spend time properly analyzing the data.

In the past, this manual process was really hard to maintain, but with OptiMonk’s Smart A/B testing you can automate everything! 

Smart A/B testing is a powerful tool that allows you to test headlines, copy, CTA’s or any other crucial component by simply clicking on it… and AI automatically generates different variants for your landing pages. After reviewing them, you can simply launch them and let AI do the rest. 

Here’s an example of how Bukvybag increased the number of their online orders by 45%.

Learn more about Smart A/B testing here.

4. Test different list building-tactics against each other

Do you want to build an email and SMS list, but you’re still not sure what format you should be using? It can be tough to know for sure whether a lucky wheel, a conversational popup, or a straightforward discount popup will connect best with your target audience.

With our Experiments feature, you can test different types of campaigns against one another and finally know for sure which one is the best choice for converting visitors into customers. 

Learn how to set it up here.

5. Use advanced analytics for each web page

When it comes to data analysis in the conversion rate optimization space, you need to strike the right balance with the number and type of key metrics you’ll measure.

Using heat maps like those provided by Clarity or Hotjar can help you gain a deeper understanding of your users’ behavior. Heatmaps can also help you identifying key problem areas and highlighting which elements needs optimization or further testing. 

6. Experiment with the messaging on your welcome popups

Different messaging strategies can lead to vastly different customer engagement and conversion rates. You can test different messaging on your welcome and exit intent popups, or even show a personalized popup for each and every visitor. 

With Smart Popups, you can tailor the messaging of your welcome popups and create a personalized journey for your visitors. 

You can simply insert the smart elements into your popups, set up the targeting and triggering options, and launch your campaign. 

Check out how Smart Popups work right here. 

What are common A/B testing pitfalls during holiday campaigns?

As we get closer and closer to the holidays, there are some common A/B testing pitfalls you’ll definitely want to be aware of so you can avoid them. 

1. Lack of preparation

Rushing to implement tests without thorough planning can result in inconclusive or biased results and misguided decisions. To maximize the value of A/B testing during this critical time, you should prioritize careful preparation to ensure accurate insights and successful holiday campaigns.

2. Testing too many variables

When multiple elements are altered simultaneously, it becomes difficult to attribute performance differences to a single factor, leading to uncertainty in decision-making. To enhance the effectiveness of A/B testing, it’s important to focus on testing a limited number of variables, allowing for more precise insights.

3. Overlooking segmentation

A common A/B testing pitfall is overlooking segmentation by treating an entire customer base as a homogeneous group.

Failing to segment your audience based on factors like demographics, behavior, or purchase history can lead to missed opportunities for personalized—and more effective—testing strategies. To maximize the impact of A/B testing during the holidays, it’s essential to tailor experiments and offers for different customer segments.

4. Drawing premature conclusions

Ending A/B testing experiments prematurely without achieving statistical significance is one of the most common mistakes business owners make. Cutting tests short before the necessary sample size is reached can lead to unreliable and often misleading results.

To ensure the validity of A/B testing outcomes, it’s crucial to adhere to established statistical significance thresholds and let experiments run their course to obtain accurate insights for informed decision-making.

5. Ignoring mobile users

In today’s digital landscape, mobile users represent a significant portion of website visitors and customers. As a result, not including them in testing as a distinct customer segment can result in missed opportunities for optimization. To maximize the effectiveness of A/B testing, it’s essential to consider and prioritize the mobile user base as an integral part of the testing process.


What is A/B testing, and how do A/B testing tools work?

A/B testing is a method used to compare two versions of a webpage in order to determine which one performs better.

It works by showing one version (the control, or “A”) to a group of users and another version (the variant, or “B”) to another group. By measuring user behavior and interactions, you can determine which version is more effective at achieving your goals.

What are the primary goals of conversion rate optimization and A/B testing before the holiday season?

Businesses use CRO and A/B testing before the holidays to enhance website performance, boost conversion rates, and optimize the user experience.

Additionally, these practices aim to identify and eliminate barriers to conversion, improve website performance, and refine messaging to resonate with holiday shoppers. 

By leveraging data-driven insights from A/B testing and conversion rate optimization, businesses can achieve better results during this crucial period.

What is the difference between A/B testing and multivariate testing?

A/B testing involves comparing two versions of a webpage or an element to determine which performs better, typically with a single varying element. Multivariate testing, on the other hand, tests multiple variations of different elements simultaneously to understand their combined impact on user behavior, offering more complex insights into interactions between page elements.

Wrapping up

We hope that you’ve gained some insights about how to implement A/B testing before the peak shopping season! 

The key to ensuring your user experience and conversion rates reach their peak potential lies in the implementation of a robust A/B testing methodology as you gear up for the festive rush.

Sign up now for OptiMonk and unlock the full potential of your website with Smart A/B testing. 

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