A/B Testing Your Subject Line to Increase Booking Rate

The hotel industry generates approximately $162 billion in revenue in the United States. Each hotel earns approximately $81.43 per room after taxes are deducted.

In the hotel industry, your primary objective is to increase overall conversions. This article will discuss A/B testing and how it can help you improve your booking rate. Continue reading to learn more about A/B testing and watch your conversions soar to new heights!

Why Should You Use Email Marketing?

Email marketing works because it enables you to maintain contact with your subscribers regardless of whether they use a desktop, smartphone, or other device. Additionally, it works because subscribers consent to receiving emails in the first place.

Once you have their email address, you can conduct A/B testing to determine which variation works best. Additionally, it enables you to offer them specials. Additionally, you can target future, current, or previous guests.

It enables you to be more personalized, to focus on a specific objective, and to maintain a consistent brand message with each email you send. The great thing about this strategy is that it is long-term effective, as you can continue sending value to your potential and future guests.

Why is A/B Testing Necessary?

Consumers now check their email on a daily basis in excess of 99 percent of the time. AB/testing templates will inform you of the most successful email campaigns. The most successful websites convert at a higher rate!

It’s a method for determining what your audience likes (and dislikes). Split testing is also referred to as A/B testing.

This is where you will send two distinct emails to two distinct segments of your email list. From here, you can determine which email has the highest open rate.

The subject line is, without a doubt, the most critical component of an email to test. Why? It is what determines whether or not a guest opens your email.

While it is admirable to develop a formula, it is vital to continue developing new formulas over time. What works for your open rate and who subscribes can change over time.

Determining Who You’ll Test

You can experiment with various components of your email, but for now, you’ll concentrate on the subject line. Additionally, you can test images, the closing text, the headline, various offers, and personalization.

Following that, you’ll need to decide whether to test a subset of your list or the entire thing. It’s a good idea to test your entire list to get an accurate idea of what converts.

Determining Success

Consider previous results. From here, you can determine your objective.

Whether it’s increasing conversions or increasing the number of people who open your email, etc. To ascertain your results, examine your conversion rate, open rate, and click-through rate.

Your conversion rate is how many reservations you receive based on the number of clicks. This will have you decide what attracted customers to book the reservation.

The click rate of an email is the number of clicks per email that is opened or the number of clicks per email that is sent. Your open rate is the percentage of recipients who open your emails. This will have you determine what subject line is the most successful.

You can also choose to only send your A/B testing subject line to parts of your list. Determine which groups are most likely to open your emails. Once you’ve created a compelling subject line, you can send it to everyone on your list.

Subject Line Tips

Never tell them everything in a subject line. Instead, use it as a teaser for what’s to come in your email. If you inform them of everything in the subject line, what will entice them to open the email and continue reading?

Conduct A/B Testing

To begin, create two identical emails with the exception of the subject line. Distribute those two emails to a random sample of your subscribers and determine which one receives a higher open rate.

Bear in mind that approximately half of the group will receive email 1, while the remainder will receive email 2. The great thing about this method is that it can be applied to other variables that you wish to test at different times.


When and how you conduct an A/B test is critical. After sending the emails, wait a few hours to see which ones perform well. In terms of when to send the emails, review previous metrics to determine when the majority of opens occur.

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