3X your list building popup’s conversion rate by testing different list building tactics against each other and finding the best offer for your website visitors.

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LIST BUILDING A/B TEST

Test different list building tactics against each other

3X your list-building popup’s conversion rate by finding the best offer for your visitors

Test different list building tactics against each other
Expected results
+200%

opt-in rate

Difficulty

Intermediate

Industry

Ecommerce

Message type

Overlay

Tags

Experiments

When to use it?

Are you building an email or SMS list, but you’re not sure what type of popup you should use? A lucky wheel? A conversational popup? Maybe a simple discount popup?

With our Experiments feature, you can test any campaign type against any other.

By testing which strategy works best for your target audience, you’ll be able to make decisions based on real data, not gut instincts. And that means you’ll be able to maximize conversion rates quickly.

How to set it up?

1. Step: Create your campaigns

Create two separate campaigns that both capture subscribers but with different methods.

In this case, we’re testing a conversational popup campaign vs. a simple sign-up form against each other.

This is what the conversational popup campaign looks like:

conversational popup campaign

And this is what the simple sign-up form looks like:

email sign-up form

2. Step: Set up different triggering for your campaigns

Set up different triggering options for your campaigns. The conversational campaign should appear after 15 seconds, as this is a welcome message, while the sign-up form should be displayed on exit-intent.

Settings summary of the conversational campaign:

Settings summary of simple sign-up form: 

3. Step: Start a new experiment

Now it’s time to test these campaigns against each other to find out which one performs better using the Experiments feature.

In case you would like to see detailed instructions on how to set up a new experiment, please click here.

Start a new experiment

4. Step: Measure performance and make data-based decisions

Once you’ve got enough data, analyze the results of the experiment and decide which campaign performed better. At this point, the experiment can be stopped and you should only run the campaign that was more effective.

Want us to set this
up for you?

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