One of the best ways to enhance your overall ad performance is to determine which audience targeting criteria yields the best results. If you use Madgicx, this is no longer guesswork. Targeting Insights helps you see which target audiences help reach your ad goals and lets you easily spot missing audiences to include in your ad strategy.

Targeting Insights shows you your audience performance broken down by each funnel stage

👋 Acquisition Prospecting

🤗 Acquisition Re-Engagement

🪝 Retargeting

😁 Retention

Madgicx analyzes all your target audiences and displays the efficacy of each audience type. By analyzing optimization metrics like the ROAS, Revenue, Amount Spent, or Cost per Purchase, you can spot targeting opportunities and leverage audiences with proven results. 

Let’s jump straight in and start using this tool. 

First, you should select a timeframe of audience data you want to see.

Select your date range for the targeting insights you want to view.

Choose the date range and wait for the data to populate the page.

Identify your top-performing landing pages 🧑‍🎓

Here is a list of your most effective landing pages for your audiences sorted by ROAS by default. You can change the metric and adjust the order at the top of the columns where the arrows point in the image below.

See your top landing pages which you can sort by Amount Spent and ROAS.

Click the ‘See all Landing Pages’ button circled above to view and compare all the landing pages used as destinations in your ads for this date range.

View all Landing Pages to see the full list and sort by Cost Per Purchase.

You can use this information to:

  1. Utilize your top pages in your next campaigns
  2. Pause ads leading to underperforming pages or change the pages they direct to
  3. Optimize your underperforming pages based on the successful ones
🦸 Pro Tip: The best approach is to view this as a funnel. If the CTR is low, that would indicate that it’s the ad's fault, not the landing page's. However, if there's a high CTR but a low number of page views, the page might be loading too slowly. Lastly, if the number of page views is high, but the ROAS or number of purchases is low, this might mean the content on the page is not converting.

You can also click on the blue ad count below each link to open that group of ads in Meta Ads Manager. You should do this if you want to pause any of those ads or change their target landing pages ⏸️

Filter your data to unlock key audience metrics 🧠

At the top left of the Targeting Insights page are the Filter Data and Smart Filter buttons. 

Use the Filter Data and Smart Filter features to zoom in on audience segments.

The Filter Data feature, when used on Targeting Insights, lets you segment your performance to focus on specific audiences you want to analyze. To sum it up, you can view audience data such as your landing pages, expand interest and lookalike expansion settings, the estimated audience size, lookalike %, recency, and Wi-Fi settings, and filter them according to the funnel stage, campaign type, and status. 

You can easily exclude or add other filter conditions that are relevant to you. Then, make sure you click the blue “Apply” button to add your filter condition.

Add conditions to sort your audience using Filter Data.

For example, in the images below, I’ve made the Amount Spent on each ad set more than $1000 to make sure enough budget has been spent to gather results. Furthermore, I’ve defined only active campaigns that have a ROAS that is 5 or higher and a condition to exclude any campaigns with the word “test” in the name.

Simply scroll the grey bar to the right to see them all. You’ll find it under the conditions.

Multiple conditions applied using Filter Data.
View of data according to the Filter Data conditions that were set.

Lastly, you can save your favorite view as a preset for next time. Simply click ‘Save this view.’

Click 'Save this view' to apply the same conditions to the filter again next time.

Let’s look at Madgicx’s Smart Filter 🤖

Zoom in on audience segments with the Smart Filter feature.

When using the Smart Filter, you can see how your different audiences and landing pages perform by funnel segment. You can also filter your audience data by demographics, device, and ad placement. This data gives you a deeper understanding of what works across your audience segments.

Amplify performance with Expand Interest and Lookalike Expansion

This widget refers to Meta’s Advantage detailed targeting tool, which helps enhance the performance of your ads. It shows your ad to a broader audience than you’ve defined using its system’s ability to identify accounts likely to respond to your optimization goal or to get cheaper results. 

View of Expand Interest and Lookalike Expansion widget where you can change the metric to suit you.

When you look at the Expand Interest and Lookalike Expansion widget, it shows which expansion tools you use in your audiences. You can adjust the metric to analyze the performance of each of these strategies by your most important KPI by clicking ‘ROAS (All)’ at the red arrow point.

The image above tells us that 100% of the ad spend goes to audiences that are using Advantage detailed targeting to optimize audience performance. This means that this account hasn’t tested any other strategies, and it might be missing out on opportunities here.

Once all methods are tested, you can understand which of them works best for you and utilize it more often in future campaigns.

See the estimated size and reach of your audience 📐

With this widget, you can analyze the estimated audience size and potential reach of your ad sets by Amount Spent, ROAS, and Cost per Purchase. You can sort the table by each metric or by the different audience size segments. 

View your audience size segmented into different tiers where you can sort according to your chosen optimization metric.

This widget gives you a breakdown of your audience performance by size according to your chosen metrics. Simply click on the down arrow in each column to change the metric. To switch the view to “Potential Reach,” simply click on this tab.

View of the potential reach of your audience(s) broken down by size and sorted by Amount Spent, ROAS, and Cost per Purchase.

You can see from the image above that the 2-10m user audience size has a high ROAS and higher cost per purchase. 

In addition, the smaller audience of between 10k-100k users has a high ROAS by comparison. With a lower Cost per Purchase, it’s a profitable audience and performs well.

Remember, you can’t compare Retargeting or Retention against Prospecting - your Retargeting and Retention audiences should naturally have a higher conversion rate and lower Cost per Purchase.
We should create smaller audiences like this to test. 

To Wi-Fi or not to Wi-Fi 📶

The Meta Ads Manager uses any internet connection type as the default setting. So, Wi-Fi-only targeting might work better in certain situations because this might mean people have a moment to sit down, relax, and complete the order on your website or if you’re targeting a country with prohibitive mobile data costs. However, this is not always the case, so you should test both targeting options.

View of the Wi-Fi audience settings showing the amount of spend for each option.

Fully utilize Lookalike % & Recency 🛠️

This widget breaks down the performance of the lookalike audience segments you’ve set and the recency settings for retargeting. Just click the heading at the top to switch views.

The Lookalike % shows the lookalike audiences by percentages.
View of your audience's Recency settings by the different time frames of recent engagement.

Lookalike %

By setting the lookalike percentage, you can determine how closely the algorithm matches the profiles it selects for your new audience. If you define a lower number, it matches profiles closely with the audience it's duplicating, and a higher percentage will have broad relevance.

View of data of the lookalike % settings of your audience you can sort by amount spent, ROAS, and Cost per Purchase.

The image above shows that lookalikes between 0-3% perform better. But, with only 1 ad set running a higher lookalike percentage, the results are fairly inconclusive. This account should create more lookalike audiences with different percentage settings to test for the best performer.

Recency

This refers to the timeframe setting of the last interaction between a user and the account’s Meta Pixel you set when creating a retargeting audience. Madgicx analyzes the performance of these settings you’ve tried before and helps you choose the best recency period to use next. In the image below, the first audience targets people who have interacted with the Meta Pixel in the last 60 days, and the second targets profiles who have interacted with it over the last 180 days. 

The 180-day audience’s ROAS is outperforming the 60-day one, and your cost per purchase is lower, meaning your ads are more profitable.

The Recency settings of your audience grouped by 60 and 180 days where you can sort further by amount spent, ROAS, and Cost per Purchase.

We should continue testing different recency settings across more ad groups to gather more insights, and we should focus more on the 180-day audiences.

See ad efficacy across the full sales funnel 🤓

How to understand the Targeting Insights Across the Full Funnel widget

See the performance of your audiences across all stages of your sales funnel: 

📢 Acquisition Prospecting

🤝 Acquisition Re-engagement

🪝 Retargeting

❤️ Retention

In the first column, you’ll find the percentage of ad spend for each stage so you can ensure you are distributing your ad spend appropriately across the funnel stages. We recommend allocating at least 80% of your ad budget toward both Acquisition stages.
Then, you’ll find the audience type, the Live vs. Created stats, and the Amount Spent. 

You can also replace the KPIs with the optimization metrics of your choice. Click the arrow and choose from the list of metrics provided. 

Lastly, you have a visual graph of the performance trend for that audience type.

Acquisition Prospecting 📢

The insights and audience data of the Acquisition Prospecting funnel stage with the Lookalikes audience segment highlighted showing a negative performance trend.

In the Acquisition Prospecting stage, we can see that the ads that use Lookalike audiences have a negative performance trend with the ROAS below the prospecting performance average. Therefore, we should consider pausing this audience and reallocating some of the budget to broad targeting that shows the best performance.

This account appears not to have tested any combinations of lookalikes with interests. We recommend giving this a try!

Acquisition Re-Engagement 🤝

The Re-Engagement funnel stage showing missing audiences.

Then, in the Acquisition Re-engagement section, you can see that no ads target profiles who have interacted with their social media pages. No ads target profiles that engage with the ads either. Therefore, launching these audiences so you can target these profiles could make a massive difference to the business bottom line and is a missed opportunity.

The audiences categorized under ‘Other’ indicate they could be custom audiences or use other ways of audience building, like from a list or by ID, or even stacked audiences, which means they’re combined. This could also indicate that the audiences have already been tested.

Retargeting 🪝

For Retargeting ads, you must configure the Meta Pixel to track your website visitors, abandoned carts, and high-intent visitors. These users are ready to purchase and perhaps got distracted or decided against it at the last minute. As a result, they need very little persuasion to buy because they have already come so far through your funnel. As a result, you don’t have to work as hard for the purchase 👷 

The total of audiences used in the Retargeting funnel stage.

In addition, this audience type may even purchase more than they originally intended. They’re hot and ready to buy! 🤑

In the image above, you’ll see this account targets website visitors but not high-intent visitors. They could be missing out unless they target these visitors, who might only need a nudge to become a customer. 

In conclusion, by advertising to this group of users who have triggered the Meta Pixel, you can work to close the gap on abandoned carts - a massive bugbear for e-commerce sites. 

And, if you’re not tracking your website visitor actions and targeting ads accordingly, know that your competitors are

Retention

The Retention funnel stage helps you nurture client relationships and encourage previous customers to buy again. It uses the Meta Pixel and email-based targeting to achieve this.

By not targeting these audiences, you could be missing out on even more revenue. 

The total of the Retention funnel stage audiences broken down by Pixel and Email based, or both.

The account in the image above isn’t using Meta Pixel-based targeting at this stage, as the one ad set is not running. They should try launching more ads using the Meta Pixel and the combination of pixel and email-based targeting.

See the Targeting Insights Across the Full Funnel and click the Go to Madgicx Audiences.

In summary, identifying these audience gaps tells you who to target next to improve your overall ad performance. 

For a deeper analysis where you can play with even more metrics, click ‘Go to Madgicx Audiences’ circled in the image above to go to Full Funnel Insights. ⬇️

Analyze all audiences with Full Funnel Insights 👀

You can find Full Funnel Insights in the Madgicx menu or click the ‘Go to Madgicx Audiences’ button on the Targeting Insights page. 

View of the Full Funnel Audience Insights widget shows.
See audience data by funnel stage according to each segment.

The Full Funnel Insights tool presents your audience data for comparison across your full marketing funnel in a list of the Madgicx audience presets. You can identify which audiences are in place and which ones are most effective based on the metrics that matter most to you.

Let AI create winning lookalike audiences using eRFM

The eRFM Module widget analyzes the performance of your eRFM audiences to show you which ones you still haven’t tested and helps you identify the ones that work best for you. 

The eRFM audiences are our AI audiences, which are lookalike audiences created according to the eRFM model:

  • engagement
  • Recency
  • Frequency
  • Monetary value

These lookalike audiences are based on your website visitors as well as your customers and are created by Madgicx’s artificial intelligence system. 

You can launch a new ad set using the specific audience defined by the eRFM presets. Simply click ‘Create ad set’ and follow the instructions to launch the audience (we have a step-by-step guide below if you need help).

The eRFM Module uses AI intelligence to create lookalike audiences based on your eRFM audiences.

Difference with Facebook Ads Manager

Targeting Insights takes the guesswork out of your audience management. Madgicx gives you performance insights across each funnel stage that help you identify which audiences work best for each stage. 

                                                                  
Facebook Ads ManagerMadgicx
No easy way to analyze and compare audiences across your ad accountAnalyzes and compares audience performance at the account level in one view
No easy way to see which audience type is missingEasily spot audience opportunities across your sales funnel
Complex metrics and filters make it hard to get to the info you needEasy to find the audience data you want to see so you can make informed decisions
No preset audiences to choose fromHas many preset audiences that can be launched in 3 steps
No way to see or compare how the audience tools performClearly see which audience tools work best for your business

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