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The 4 Biggest Differences Between Facebook & Instagram Ads

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So you want to advertise, but you’re not sure which of these two mega social media platforms is “best” for your business.

Well, to be honest, no matter how much your budget is… who your audience is… or what you’re offering… 

The answer is BOTH… and IT DEPENDS.

This article will explain why as well as give you the 4 biggest differences when creating your ad on both platforms.

Now in case you didn’t know, Facebook & Instagram are owned by the same parent company, which now goes by the name Meta. 

As a marketer, this is great because it makes advertising on both platforms super easy. Meaning, if you want to run both a Facebook ad and Instagram ad, you can get your ad on both platforms with just a few extra clicks (see below)… and possibly some minor tweaks to what your ad says and looks like (more on that in a moment).

The 4 Biggest Differences Between Facebook Instagram Ads

Let’s get clear on why “BOTH” is the answer…

Whether you’re new to social media advertising or you’ve been advertising for a while, it’s in your budget’s best interest to TEST any new offer or messaging on both platforms.

When you test both, every time you launch a different campaign, you will see that the results you get per platform will vary and are affected by many different factors:

  • Time and day you launch
  • Who your ad gets shown to first (even if you’re targeting the same audience)
  • Season
  • Competition
  • Ad Spend

That list could go on and on. And “the algorithm” is a tricky thing that can’t exactly be mastered because of it’s unknown and uncontrollable factors.

You see, if one platform was better than the other, everyone would be using that one!

And if you’ve heard that “your audience” may be on one over the other… you need to throw that thought out the window.

According to statista.com, “Facebook has roughly 2.93 billion monthly active users as of the first quarter of 2022” and “is the most used online social network worldwide”.

Instagram, on the other hand, has roughly 1 billion monthly active users.

BUT… no matter who your audience is, your targeting options are selected in Ads Manager the same EXACT way for both platforms… using the same EXACT data.

The 4 Biggest Differences Between Facebook Instagram Ads

It could be true that MORE of your audience is active on one of the platforms, but they’re definitely on both and that should not be your big deciding factor on where to put your ads… especially if you have a smaller ad budget.

What a smart marketer will do is test their ad on both Facebook and Instagram, review the results, and if one platform strongly outperforms the other, then you can move all or more of your ad spend over to that one.

In other words, using that data you collect is why the answer is also IT DEPENDS. So…

STEP 1: Test BOTH platforms

STEP 2: DEPENDING on the results, decide on continuing with one or both

But here’s where things get a little more complicated.

Facebook ads and Instagram ads have several “placement” options! You saw about half in the gif above, but there’s really about 2 dozen of them. 

EXPERT TIP: If you’re just getting started, just focus on mobile Feeds & Stories. After you start seeing results you like, then you can test other ad placements.

Now there are definitely more than this, but the biggest Key Differences to be aware of when running a Facebook ad Vs Instagram are:

Video Length

Meta is always changing the rules on how long a video ad can be per platform and placement. The company does recommend running shorter videos, under 30 seconds. HOWEVER, take that recommendation with a grain of salt. Longer videos can still do very well IF they have a good HOOK (first few seconds that draws in your viewer), and is also helpful, entertaining, or both. That being said, I recommend going shorter when possible & keeping it under 2 min so you can run your video on both platforms without any issues.

Video & Image Ad Dimensions

Again, this isn’t just a difference per platform. It depends on your ad placement. You can easily look up all the recommended aspects per placement (also shown while you’re creating your ad). But if you don’t want to bother with different dimensions for different placements, the most universal and best optimized ratio for your content is going to be either a 1:1 or 4:5 ratio with a 

resolution of at least 1080 x 1080 pixels.

1657924455 414 The 4 Biggest Differences Between Facebook Instagram Ads

Text Length

The written portion of your ad has limits on Instagram – with the maximum being 2200 characters and the “recommended” max being only 125 characters. You may hear that having shorter ad copy a.k.a. shorter text in your ads is better. On Instagram, I’d agree shorter is usually the way to go, but again… that’s not always true or necessarily often true. Don’t be afraid to hit that maximum if you’re a killer copywriter. Based on millions of dollars of data that I’ve seen, short and long text can perform equally as good, especially on Facebook. The biggest factor in how your text performs is how compelling and well-structured the writing actually is.

EXPERT TIP: Add an extra space between sentences. Use bullet points to make it look less overwhelming. Make it sound conversational (like you’re talking to a friend).

Text Location

On the Facebook News Feed, the primary text is above the button and video/image. On Instagram’s News Feed it’s below the button and image/video. And on Instagram Stories, it’s below the video but above the button. So if you’re directing someone on where to click, then make sure you navigate them appropriately by writing out “Click the button above” or “Click the ‘Learn More’ button below the video” based on your ad placement.

1657924455 518 The 4 Biggest Differences Between Facebook Instagram Ads

It is important to note that Stories and Reels are quite different from News Feed ads and can be run without any post text at all. 

If we wanted to dive into all the differences between all ad placements, this article would be at least 5x as long… and would probably just confuse the heck out of you.

So for now, I hope this helped you understand the key differences, the importance of testing your ads on different placements, and not limiting yourself to just Facebook or just Instagram ads!


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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.”

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.”

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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