Post by account_disabled on Oct 7, 2023 11:49:23 GMT
Marketing is both an art and a science, and A/B testing is an essential tool for optimizing the art of marketing through data analytics.
By conducting A/B tests within a scientifically sound environment, all factors can be accounted for and tests can be run in a controlled manner to deliver statistically accurate results.
A/B testing provides valuable insights into customer behavior and preferences, leadingectly Phone Number List represents to more informed decision-making for future campaigns and increased conversion rates. On average, LinkedIn customers have seen a 10-20% improvement in ROI after implementing A/B testing.
How A/B testing works on LinkedIn
Before you conduct an A/B test, you must first identify a single campaign element to test: creative, timing, audience, etc. This should be a strategic choice that tests a hypothesis, such as “Audiences react more favorably to brightly color-themed ad”
Once you have identified which variable you are testing, you will know which KPIs to pay attention to when measuring performance.
In order to conduct a scientifically sound A/B test, you need to create two identical campaigns: A and B. The A campaign will act as a control. The B campaign will be your test campaign.
Create a first campaign in Campaign Manager. Once you have built this campaign, make a duplicate. This new campaign is your second campaign. Now change one element in the second campaign, such as swapping in a brighter background image or a differently worded CTA.
By conducting A/B tests within a scientifically sound environment, all factors can be accounted for and tests can be run in a controlled manner to deliver statistically accurate results.
A/B testing provides valuable insights into customer behavior and preferences, leadingectly Phone Number List represents to more informed decision-making for future campaigns and increased conversion rates. On average, LinkedIn customers have seen a 10-20% improvement in ROI after implementing A/B testing.
How A/B testing works on LinkedIn
Before you conduct an A/B test, you must first identify a single campaign element to test: creative, timing, audience, etc. This should be a strategic choice that tests a hypothesis, such as “Audiences react more favorably to brightly color-themed ad”
Once you have identified which variable you are testing, you will know which KPIs to pay attention to when measuring performance.
In order to conduct a scientifically sound A/B test, you need to create two identical campaigns: A and B. The A campaign will act as a control. The B campaign will be your test campaign.
Create a first campaign in Campaign Manager. Once you have built this campaign, make a duplicate. This new campaign is your second campaign. Now change one element in the second campaign, such as swapping in a brighter background image or a differently worded CTA.