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12 Facebook Ad Metrics Worth Your Attention

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12 Facebook Ad Metrics Worth Your Attention

12 Facebook Ad Metrics Worth Your Attention

Did you know there are about 200 Facebook Ad metrics? That’s way too much to keep your eyes on. A smarter approach is to focus on a few metrics and ignore the rest until you need them. But how do you know which ones are really worth your constant attention? Let’s find out…

Every Facebook Advertiser Struggles with Metrics

You are not the only one who is lost in the maze of Facebook ad metrics. Every day, my team at MeasurementMarketing.io answers dozens of questions from business owners and agencies about this topic.

  • I read somewhere that metric X is important but is that true?
  • Why would I even track metric Y?
  • Can I really ignore metric Z? 

These kinds of questions are important, but they are often asked at the wrong moment. 

The key to understanding which Facebook Ad metrics matter the most to you, is to see them as possible answers to questions you have about Facebook campaigns.

Let’s dive in…

Are my Facebook Campaigns Profitable?

Paid ads are like an investment. You pour money into ads and hope that you will get more money back. 

But like any other investment, there is a difference between hope and reality. 

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One metric in Facebook Ads Manager will partially answer whether your ads are performing as you had hoped.

Return On Ad Spend (ROAS)

This metric tells you how much money you get back from every dollar you spent on Facebook ads. 

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It is calculated with the following formula:

Revenue / Ad spend

For example: (your revenue) $1,000 / $500 (spent on ads) = ROAS 2

That means that for every dollar you spent on Facebook ads, the platform  generated $2 revenue. 

All that sounds great, but keep the following in mind:

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  • Revenue and profit are different things. So, you will have to do your own calculations to find out if your Facebook ads are actually making profit for you.
  • To calculate the real Return On Investment (ROI) of Facebook paid campaigns, you need to include costs for setting up and managing your ads. 
  • This metric is especially useful to ecommerce stores because they sell directly and know for which price. For service providers, ROAS is harder to calculate because it is hard to assign a price for someone who, for example, signs up to a newsletter. 
  • Facebook knows a lot about you, but you need to assign values to conversions. I cover that a bit further below. 

How Much do My Facebook Ads Cost?

Running ads costs money. To keep track of how much, you can use over 60 Facebook Ad metrics. Here are some interesting ones that can give you valuable insights.

Amount Spent

This metric tells you how much money you have already spent on a Facebook ad or campaign. 

Although you can set daily budgets to keep your budget under control, it is absolutely worth checking this metric regularly. If the amount is low, for example, that can mean nobody is seeing or clicking on your ads. 

Cost Per Mille (CPM)

This metric answers the question how much it costs to show your ad 1,000 times. If you run awareness campaigns, it is useful for two reasons:

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  • CPM is a metric that is used by other ad platforms or websites that sell advertising space. It makes it easy to compare the price to advertise on different platforms. On the other hand, it doesn’t tell anything about how profitable the ads are. 
  • The CPM also lets advertisers easily compare the cost of different campaigns on the same platform. If, for example, the CPM for one Facebook campaign is $10 and $5 for another, it is worth diving deeper to understand what causes this price difference. Is it because of the timing? The copy of the ad? The audience? The frequency? Etc.

Cost Per Impression

This metric tells you how much every impression of an ad on Facebook costs you. It is not a very important one from the digital marketer’s helicopter point of view. 

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But I included it anyway to illustrate that Facebook has metrics that can give answers to more complicated questions you didn’t come up with before. 

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Prices per unit also put things in a different perspective. Knowing that every bite you take from, let’s say a Philly Cheesesteak (Can you tell I’m from Philly?!?), costs you 0.25 cents, may either spoil or add more taste to your meal. 

Cost Per Click (CPC)

Facebook has two metrics for clicks. CPC links are more important than CPC All, because it tells you how much a link to your landing page costs. A click that is, for example, included in CPC All is when someone clicks to see more of your ad copy. 

CPCs fluctuate and the price Facebook charges you depends on factors such as timing, audience size, the services or products you promote, and so on. 

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Yet, the CPC is a powerful metric that is worth keeping your eyes on:

  • It gives you a clear idea of how cheap or expensive clicks to your site or web shop are.If, for example, you pay $10 per click to sell a $3 product, it may be time to rethink your paid advertising strategy completely. 
  • A high CPC may also be a sign that your landing page has an issue. I will get back to that further below. 
  • CPC is also a useful metric to compare the performance of campaigns over time, or to find out which ads are repeatable or need optimization. 

Cost Per Action (CPA)

Ideally, people take action when they see your Facebook ad. That can, for instance, be a click to your landing page, watching a video, sharing your page, and so on. 

The CPA metric shows you how much these actions cost. It is also good to:

  • Use the CPA as an internal benchmark. Simply put: if you can decrease it, you will get more at a lower cost. 
  • Compare the CPAs of different actions. If you  take the bigger picture into account, it may turn out that you have been running ads to trigger people to take actions that don’t boost your business.

Cost Per Conversion

Another metric that is definitely worth your attention is the Cost Per Conversion. If you know, for example, that your paid ads cost you $5 for someone to add a product to the shopping cart, that will give you a good idea whether the campaign is profitable or requires fine-tuning.  

Do My Facebook Ads Actually Contribute to My Goals?

The best way to find out if your Facebook ads help you actually achieve your campaign goals is to look at conversion metrics. 

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Conversions are important actions that people take, like adding a product to the basket, filling in a form, signing up for a trial account, and so on.

Conversion Rate

The conversion rate is the percentage of people who click on your ad and do what you want them to do. Let’s assume 100 people click on your product ad and 50 of them add the product to your cart, the conversion rate will be 50%.

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That may sound exciting, but if none of them actually buys your product, the conversion rate for your sales goal will be 0%.

It is therefore important to think about your goals and conversions before you dive into metrics. 

How Much Value do My Facebook Ads Generate?

In Facebook Ads, you can assign a ton of conversion values for every goal you want to achieve.

Even if you don’t sell products or courses online, you may profit from assigning a value to conversions, like the Contact conversion value or Leads Conversion Value.

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Total Conversion Value

The total conversion value is self-explanatory. But it can also be misleading. If you define, for example, a Content views conversion Value or App activations conversion value, you may get a total skewed version of what your conversions actually are worth. 

Is My Facebook Target Audience Even Interested in My Ads?

Although Facebook is a great advertising platform to reach your ideal audience, your ads may not be appealing to them. The following metrics can help you find that out quickly.

CTR (Click Through Rate)

The click through rate metrics is the calculated percentage of clicks compared to how many times your ad was displayed.

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If, for example, your ad was shown 1,000 times and the link to your site was clicked 10 times, your CTR is 1%. 

The toughest part is to decide whether your CTR is good or bad. One way to know this is to run several ads simultaneously and see which one has the highest CTR. 

But this approach is risky too. A higher CTR may not result in higher conversions.

Relevance Score

Facebook assigns a relevance score between 1 and 10 to your ads. The higher the score, the more relevant the ad is for your audience, according to Facebook.

Ads can break or make your campaigns. A picture, the copy, but also how many times it is shown are all details that can make or break your campaign. The following metrics help you better understand how your ads are doing.

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Ad Frequency

This metric tells you how many times the ad has been displayed on average in the Facebook feed of your target audience. 

Mind that this metric can mean many different things depending on the type of campaign you are running.

  • With brand awareness campaigns, you can show your ad more before people get tired of it.
  • If you are running a lead gen campaign, people usually get annoyed when they see the same ad too many times in a short period of time. 

The list of metrics will help answer the important questions you, your business or customers have about paid marketing campaigns on Facebook

Alas, these metrics cannot give all the answers you need to run successful paid campaigns… 

The 4 Biggest Mistakes Facebook Advertisers can Make

The MeasurementMarketing.io team has taught and supported hundreds of businesses with measuring and optimizing their marketing campaigns for success. 

There are 4 mistakes that keep returning and I figured it’s worth dropping them here so you won’t need to make these mistakes yourself…

Mistake 1: Misunderstanding Metrics

Like any other industry, digital marketing is filled with jargon. It’s easy to misunderstand what something is and is not.

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Metrics are often confused with: 

  • Business goals 
  • Key Performance Indicators (KPIs)
  • Dimensions
  • Segments

Metrics are just the numbers you add, subtract, multiply, and divide.

Dimensions, on the other hand, are how you sort those numbers.

For example, you might have a “Dimension” that is the Traffic Source and then the “Metric” might be the number of users from that traffic source.

Always remember though, you’ll always first start with a question in mind and then you jump into the data to find the answer (never the other way around!).

Mistake 2: Ignoring Data from Facebook 

Most businesses understand that data is important. But in two situations, it is tough to make data-driven decisions.

Analysis Paralysis

Facebook Ad Manager contains a lot of data, but that is often overwhelming. Not all businesses have the know-how or resources to even look at numbers, charts, graphs and therefore simply ignore them.

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Focus on just ONE THING at a time.  I like to take the advice I learned from my buddy Jeff Sauer at DataDrivenU.com…

“Assign one KPI per team member.”

This keeps it really simple.  If it’s just you, focus on the ONE metric that needs the most improvement.  As your team grows, you can expand your focus (because you’ll have more people to help!).

No Access to Real-Time Data 

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This happens, for example, when an external party is running ads and reports monthly. By the time decision makers know what’s going on, the monthly Facebook marketing budget is already gone. 

Businesses that ignore, or don’t have access to Facebook data, lose a lot more than money.

The target audience may, for example, have seen a Facebook ad too many times. It will be an expensive challenge to turn that around.

Mistake 3: Focus on the Wrong or too Many Metrics

Facebook, and other ad platforms, make it very easy to set up your first campaign. They promise you will get results without having to lift a finger. 

And then reality kicks in. 

At one point, you need to understand the true value of data. 

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But as I said in the beginning of this article, it can feel overwhelming, confusing or for some, not enough. 

The opposite reaction of analysis paralysis is wanting to have even more data to make complete data-driven decisions. 

Facebook Ads has a ton of them available, like 

  • Photo views
  • Unique achievements unlocked
  • Unique ratings submitted
  • Cost per unique level completed
  • Etc. 

The question is…

Do you really need all that data to drive your business forward?

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In other words, ask yourself, “Is this useful?”

This brings us to the last mistake (which actually might sound contradictory)…

Mistake 4: Ignoring Data from Other Sources

Customers start their journey after they have clicked on your Facebook ad. But as you know, a lot can go wrong when the user lands on a site or web shop.

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Think, for example, of:

  • The contact form may not be working. 
  • The site might not be optimized for a specific device.
  • The conversion tracking may not be set up correctly.
  • The landing page may not be aligned with the message of the ad.
  • Your actual revenue may differ from what Facebook or other platforms, like Google Analytics 4, shows. 

I am not claiming that Facebook Ad metrics are worthless, but you need to pick them carefully. 

Sometimes the best “source of truth” will definitely be Facebook Ads.  But sometimes (often!) it won’t be the best source for the answers you’re looking for.

To measure your actual revenue, for example, it is wiser to rely on data from your cart, or (even better!) your merchant processor (platforms, like PayPal, Stripe, Authorize.net, etc.).

Conclusion: 

Facebook Ad metrics are very powerful to 

  • Measure the performance of your campaigns
  • Get insights on how to improve your campaigns
  • Control your paid ads budget on the biggest social media platform
  • Reach the right audience with the right message at the right moment
  • Achieve your business goals

But Facebook Ad metrics reveal only one part of the complicated customer journey. 

If you want to stay ahead of your competitors, as a business or marketing agency, then make sure you:

  • Track only the most valuable Facebook Ad metrics
  • Include metrics from other platforms and tools to make profound decisions
  • Give your team access to the data they need to do their job
  • Present everything in a shared dashboard that’s explains itself

This is the secret sauce of businesses that thrive in the complicated digital marketing landscape. 

I hope this information will help you become a better Facebook marketer or give your business a better understanding of Facebook Ad metrics and how they fit in the bigger picture of digital marketing.

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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

Introduction

With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.

Types of YouTube Ads

Video Ads

  • Description: These play before, during, or after a YouTube video on computers or mobile devices.
  • Types:
    • In-stream ads: Can be skippable or non-skippable.
    • Bumper ads: Non-skippable, short ads that play before, during, or after a video.

Display Ads

  • Description: These appear in different spots on YouTube and usually use text or static images.
  • Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).

Companion Banners

  • Description: Appears to the right of the YouTube player on desktop.
  • Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.

In-feed Ads

  • Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.

Outstream Ads

  • Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.

Masthead Ads

  • Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.

YouTube Ad Specs by Type

Skippable In-stream Video Ads

  • Placement: Before, during, or after a YouTube video.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
    • Action: 15-20 seconds

Non-skippable In-stream Video Ads

  • Description: Must be watched completely before the main video.
  • Length: 15 seconds (or 20 seconds in certain markets).
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Vertical: 9:16
    • Square: 1:1

Bumper Ads

  • Length: Maximum 6 seconds.
  • File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
  • Resolution:
    • Horizontal: 640 x 360px
    • Vertical: 480 x 360px

In-feed Ads

  • Description: Show alongside YouTube content, like search results or the Home feed.
  • Resolution:
    • Horizontal: 1920 x 1080px
    • Vertical: 1080 x 1920px
    • Square: 1080 x 1080px
  • Aspect Ratio:
    • Horizontal: 16:9
    • Square: 1:1
  • Length:
    • Awareness: 15-20 seconds
    • Consideration: 2-3 minutes
  • Headline/Description:
    • Headline: Up to 2 lines, 40 characters per line
    • Description: Up to 2 lines, 35 characters per line

Display Ads

  • Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
  • Image Size: 300×60 pixels.
  • File Type: GIF, JPG, PNG.
  • File Size: Max 150KB.
  • Max Animation Length: 30 seconds.

Outstream Ads

  • Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
  • Logo Specs:
    • Square: 1:1 (200 x 200px).
    • File Type: JPG, GIF, PNG.
    • Max Size: 200KB.

Masthead Ads

  • Description: High-visibility ads at the top of the YouTube homepage.
  • Resolution: 1920 x 1080 or higher.
  • File Type: JPG or PNG (without transparency).

Conclusion

YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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A deeper dive into data, personalization and Copilots

Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.

To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.

Dig deeper: Salesforce piles on the Einstein Copilots

Salesforce’s evolving architecture

It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?

“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”

Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”

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That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.

“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.

Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”

Let’s learn more about Einstein Copilot

“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.

For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”

Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”

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It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”

What’s new about Einstein Personalization

Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?

“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”

Finally, trust

One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.

“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”

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