Use A/B Test Campaigns on LinkedIn and Improve Your Ads

a/b test campaigns for linkedin

Presently, LinkedIn is becoming a hub for business people around the globe. People are utilizing the platform for marketing their brand through multiple campaigns looking for leads. Meanwhile, what is going to make people respond to your outreach messages? Also, what will make your campaign different from the rest on LinkedIn so people will engage with it more than the tens of thousands of campaigns?

Here is when A/B testing on LinkedIn (also known as split testing) assists you and guides you through your LinkedIn lead generation campaigns. The ultimate purpose of A/B testing is to offer two different campaigns to the target audience and let their engagement decide whether it works for you or not.

If you do not know how it works, here is the guide.

Why is LinkedIn A/B Testing Important for Lead Generation?

Irrespective of how good a marketing team you have, there can always be loopholes in your ads. Often ads that marketing specialists believe will do wonder end upbringing in no leads. Conversely, some ads unexpectedly grab a lot of attention from your prospective clients.

Therefore, the A/B test for LinkedIn lead generation helps you analyze your ad campaigns thoroughly. In this, you do not get the results as a whole, but each element’s reach and engagement is provided in contrast to other test campaigns. So, you have complete data of two different campaigns for the same purpose. You compare them both and decide what element of which campaign works for you. Ultimately, you develop an ad campaign that combines the best results by understanding your split testing results.

Simple Steps a LinkedIn A/B Test Requires For Generating Leads 

When you are performing a split-testing experiment on LinkedIn, the process is straightforward for anyone to give a try:

Step 1:

Plan and create the campaign that you wish to promote among your audience. It should include customization of budget, bidding, etc.

Step 2:

Create another same campaign on LinkedIn. It should be an identical copy of the campaign you created in the previous step.

Step 3:

Now that you have to same campaigns change some variables (Preferably one), for instance, the title of the ad, image, etc., and run the test campaigns for different target audiences.

Step 4:

After running both campaigns, track the conversions to see which campaign is performing better.

LinkedIn marketing experts suggest letting the test campaigns run for a week or two before ending the test campaigns. Once the time is over, it is time for you to measure the results through the conversions.

The Most Crucial Step of A/B Testing- Measuring and Optimizing Outreach Campaigns

The majority thinks that A/B testing on LinkedIn is all about creating two campaigns and running side by side to check which performs better. With this comes measuring your campaigns precisely and using the results to optimize LinkedIn campaigns for generating leads.

  • The first tip is never to run two campaigns separately. The primary purpose of split testing is to measure the campaigns in contrast to each other and not separately. So why run them in different time frames? It helps you save a lot of time and see which variables work for your business in the meanwhile.
  • The second tip is to keep getting data through LinkedIn’s’ conversion tracking option. The feature lets you track all the engagements on your A/B testing campaigns. You get to know which of your ad is generating more conversions when you use conversion tracking.
  • The third suggestion is not to stop after running a single A/B testing campaign. For a campaign to be successful and generate high leads, you need to identify the best out of the bests. So, take the most successful campaign and run new tests, but this time with a different metric.
  • Lastly, personalize your campaigns and tailor each message specifically to make your users feel special. 

Bottom Line:

Marketing on LinkedIn has been made easier using A/B testing. You can test your campaigns, compare them and pick the best one to run on the platform. Additionally, it is a reliable, cheap, and high-lead generation tool. So why not give it a try and change things for your business?