Webinar and event promotion?
Posted: Sat Jan 25, 2025 9:47 am
Both Facebook and LinkedIn have this feature, but the details of how each platform's feature works are a little different from each other.
Lookalike Audiences en Facebook
The Facebook-like feature is available for custom audiences (not created from your pixel data), mobile app data, or your page followers. As long as you're actively advertising to your audience, the list will automatically update every 3-7 days.
Facebook allows you to choose your audience size, depending on how broad and large you want your audience to be.
Lookalike Audiences en LinkedIn
Lookalikes is a new feature on LinkedIn, which was rolled out to all advertisers in March 2019.
For those who haven't yet taken advantage of this option on LinkedIn, there are some differences direct moving leads email list compared to Facebook.
There is no option for audience size, but LinkedIn Lookalike Audiences only match recently active users.
Adding additional targeting overlaid on your aspects like Job Function, Job Title, or Seniority will help refine your scope.
You cannot use audience expansion with similar audiences on LinkedIn. You will also need to recreate new audiences to update and capture new members regularly.
Lookalike audiences, along with exclusion lists, can help you identify additional qualified customers who may not have completed their profile with their job title, company, or interests.
How to use this tactic
There are some hearings I like to do from the beginning.
The first is based on long-term or repeat customers. On Facebook, conversion rates are generally better with smaller lists, but because those lists are smaller, you may find that performance starts to decline more quickly than if you build a 3-4% list.
The second list I create is a similar list made up of unqualified leads. For many B2B clients, these people are often small business owners, students, or people doing research who aren't looking to buy.
As I start to see dwindling results from the list created by customers, I will create a list of qualified MQLs, opportunities, and other sales accepted leads that are still in the pipeline.
Exclusions are also important. In the case of an overlap of users that I have already accessed on the client list, I will exclude the client's initial look list, newsletter lists, and converters.
computer-1185626_1280
Lookalike Audiences en Facebook
The Facebook-like feature is available for custom audiences (not created from your pixel data), mobile app data, or your page followers. As long as you're actively advertising to your audience, the list will automatically update every 3-7 days.
Facebook allows you to choose your audience size, depending on how broad and large you want your audience to be.
Lookalike Audiences en LinkedIn
Lookalikes is a new feature on LinkedIn, which was rolled out to all advertisers in March 2019.
For those who haven't yet taken advantage of this option on LinkedIn, there are some differences direct moving leads email list compared to Facebook.
There is no option for audience size, but LinkedIn Lookalike Audiences only match recently active users.
Adding additional targeting overlaid on your aspects like Job Function, Job Title, or Seniority will help refine your scope.
You cannot use audience expansion with similar audiences on LinkedIn. You will also need to recreate new audiences to update and capture new members regularly.
Lookalike audiences, along with exclusion lists, can help you identify additional qualified customers who may not have completed their profile with their job title, company, or interests.
How to use this tactic
There are some hearings I like to do from the beginning.
The first is based on long-term or repeat customers. On Facebook, conversion rates are generally better with smaller lists, but because those lists are smaller, you may find that performance starts to decline more quickly than if you build a 3-4% list.
The second list I create is a similar list made up of unqualified leads. For many B2B clients, these people are often small business owners, students, or people doing research who aren't looking to buy.
As I start to see dwindling results from the list created by customers, I will create a list of qualified MQLs, opportunities, and other sales accepted leads that are still in the pipeline.
Exclusions are also important. In the case of an overlap of users that I have already accessed on the client list, I will exclude the client's initial look list, newsletter lists, and converters.
computer-1185626_1280