Listen to the show to hear Rick’s thoughts on targeting a smaller location like San Diego, California. However, if you’re A/B testing a Facebook ad campaign element, you’ll need to collect a sufficient amount of results for your conclusions to be statistically valid. For example, in an experiment by Adspresso they found that a 10% Lookalike Audience had a 70% higher cost-per-conversion than a 1% Lookalike Audience. With Facebook lookalike audiences, this will dissect your existing followers and user base to find their commonalities.

I’m studying programming and cybersecurity.I’m fascinated by algorithms and AI, obsessed with strategy and tactics.

Creative Ideas for Lookalike Audience Sources You can create a number of different Lookalike Audience sizes with wider or broader reach (e.g. You might already have a good idea of your ideal customers interests and identity. Kept me hooked for the last 3 hours. Could you please explain it? Kevin is an avid outdoorsman and nature lover; when not in the concrete jungle of New York, he can be found trying to explore a real one. Desktop ad placement.As a person clicked on the ad, a download box popped up where people needed to enter their email and name. I would be interested to see how this changed over 2+ months of activity. Sorry, your blog cannot share posts by email. I didn’t know that there are costs for these ads and this facebook lookalike audience. Basically, you are taking a core group of people that you’ve generated through an online activity, and telling Facebook to find a certain percentage (between 1 and 10%) of all people in a specific country that are MOST similar to that core audience. If you choose 1 percent, you can eventually exhaust your audience, so you can go higher once you’re done with that audience. My experience comes from a background in web-design and pages with forms are displayed much more clearly when the page is viewed upright on mobile devices.Will keep in mind to test mobile placements even further in the future. they found that a 10% Lookalike Audience had a 70% higher cost-per-conversion than a 1% Lookalike Audience.The smaller the audience size, the more accurate the ads, at least for short term results.When creating these audiences, remember that people’s interests can be completely outdated and misrepresenting. Now, I do SEO for a living. If you have a list of people who interacted with your business in person, by phone, or via an offline channel, you can upload and include this information. However, many people aren’t using the full range of options for creating a custom audience, which you later use to create a lookalike audience. Read with great interest about your $1500 lookalike test. […][…] Next, be sure to choose the 1% audience size to keep it targeted and dirt cheap (See: this study). 2% of US Audience @ 4,310,000 people vs. 2% to 6% of US Audience @ 8,620,000).Create as many lookalike audiences as needed. If you compare the cost-per-lead across all the three ad sets and the fact that each of them had a $500 budget, this was to be expected.Wrapping it up: the 1% Lookalike Audience outperformed both the 5% and the 10% Lookalike Audiences. I just need to understand the age/gender breakdown more and what to actually do with that data…Look at your Cost Per Action for each age group and gender, and I bet you’ll see some trends. Below is an image that outlines how this looks:You initially have your custom audience that is exactly who your audience is. Can you give me an example of when 10% would be the best choice?As you advertise to 1% lookalike audiences for a while, this audience gets “exhausted” – you’ve reached its full potential. Really depends on your total audience size. You can add as many custom audiences to a saved audience as you want, so doing so allows you to specifically choose the exact percentage you want every time. Based off their most valuable […][…] ripe for your ads, play with your lookalikes.

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