MARKETING
In-game advertising: A marketer’s guide
Video games aren’t just fun. They can be profitable for savvy advertisers looking to reach one of the most lucrative and elusive groups of consumers.
In-game advertising merges ads with the game environment seamlessly. Imagine seeing billboards while racing through the streets or branded in-game products you can purchase. These ads are more powerful and effective than in-app advertisements — those annoying pop-ups or banner ads you commonly see in mobile app games.
With nearly 3 billion games worldwide, in-game advertising can give brands incredible reach. From virtual billboards to branded experiences, video games have become a marketer’s paradise for reaching the coveted gaming demographic.
This guide covers the basics of in-game advertising, including common ad types, available targeting options, associated costs, challenges and best practices.
Types of in-game advertising
Before exploring how to take advantage of in-game advertisements, let’s review the most common types of game ads.
Static in-game advertising
These ads are directly hardcoded into the game. Since the ads can’t be changed and will exist in the game ad infinitum, rates are expensive and charged on a fixed-fee basis.
Dynamic in-game advertising
Dynamic ads can be replaced quickly and deployed instantly. These ads can appear in different places and formats (display and video ads are the most common). The 2008 billboards from Barack Obama in Need for Speed: Carbon are a great example of this ad format’s simple yet powerful use.
Sponsored game content involves integrating a brand or product into the actual game content, making it even more tangible and visible to the player and engaging them with the brand.
Dig deeper: PepsiCo’s strategies for marketing via online games and esports
KFC did this exceptionally well when it partnered with Nintendo to create a virtual island in the popular game Animal Crossing: New Horizons. The island was designed with KFC-themed items and decorations and even allowed players to win a voucher for chicken in real-life.
Advergames
Rather than integrating the ads into an already existing game, advergames are games specifically designed to promote a brand or product. They provide a fun and engaging way to interact with a brand and can effectively build brand awareness and loyalty.
Chex Quest, made by Chex, was the first video game ever to be included in cereal boxes as a prize. It was a top-to-bottom conversion of the popular game Doom but adjusted it to be family-friendly. The game was a hit among consumers and even won several awards.
Activision Blizzard Media has recently created many Playables — branded stand-alone mobile app games.
Product placement
The classic advertisement method still works. Advertisers can put their products directly into video games to guarantee players see the brand and “use” the products.
I remember playing Mario Kart 8 on the Nintendo Wii and unlocking the Mercedes-Benz cars. This made the branded products more exclusive since they had to be earned.
Targeting options for in-game advertising
The other unique benefit of in-game advertisements are the targeting abilities. It starts with choosing the right game (or games). Advertisers can focus on consumers based on demographics, geolocation, device type or platforms. However, integrating these traditional targeting approaches with behavioral targeting makes in-game advertisements even more effective.
Behavior targeting uses the actions the player has taken (or has not taken) to create an ideal segment of users to reach. For example, an advertiser could target players who have demonstrated a willingness to open their wallets by spending money to buy items in a game — or players who have reached a certain level and are, therefore, more engaged.
Combining these different ways of targeting and deploying them across various games that reach consumers on multiple platforms (gaming consoles, computers and smartphones) makes in-game advertising extremely powerful. With abundant reach and powerful targeting, brands can build awareness, drive engagement and boost sales quickly and effectively.
How to buy in-game advertising
Getting started with in-game advertising will ultimately depend on the types of games you want to appear in and your budget.
When selecting an approach to buying in-game advertising, consider the specific goals, budget and target audience of the campaign.
Game publishers
- Example: Activision Blizzard Media
You can work directly with game publishers to create custom ad campaigns within their games. This approach provides more control over the creative content and targeting and a deeper level of integration with the game environment.
However, it can be more time-consuming and expensive than other options and may not offer as much scale or reach since it is limited to a single game.
In-game ad networks
- Examples: Admix, Unity Ads
Ad networks connect brands with multiple game publishers, providing access to a broader collection of games. They offer greater scale and reach and more efficient pricing and targeting options.
The downside is that you have less control over the creative content and placement. Some ad networks are not as high-quality and have limited targeting options.
Programmatic advertising platforms
Programmatic platforms use data and algorithms to automate the buying and placement of in-game ads across multiple publishers and platforms. This approach can offer greater efficiency, scale and advanced targeting options based on user data and behavior. However, programmatic platforms may have less control over the creative content and placement and may require more technical expertise.
The costs of in-game advertising
How expensive are in-game ads? It depends, but it’s only going to get more expensive. In-game advertising pricing can vary based on several factors, including the type of game, ad format, targeting options and the size and scope of the campaign.
CPM pricing is the most common approach, and rates can vary widely based on factors like ad format and targeting. The average CPM for in-game display ads ranges from $10-20, with video ads from $15-30.
These numbers will vary dramatically depending on the audience, game, targeting and ad formats. For example, CPMS for in-game ads targeting Gen Z and Millennials were 30-50% higher than those targeting Gen X and Baby Boomers, according to an Interactive Advertising Bureau (IAB) study.
You can also expect CPMs to continue to rise with the growing popularity of games and the high demand to reach gamers who are otherwise difficult to reach. Other in-game ads follow a flat-rate pricing model, especially static ads or advergames.
Challenges and best practices
It’s all fun and games until your campaign stops performing well. In-game advertisements come with their own unique set of challenges — and fatigue is a real concern.
- Players can quickly become bored or annoyed by seeing the same ads repeatedly. Be sure to monitor frequency and refresh creative as often as possible.
- Players will also be upset if ads are intrusive, distracting, or disrupt their gameplay in any way. This isn’t commonly an issue, but it’s an important consideration.
As with any advertising, targeting is critical. It’s best to use non-intrusive creative formats to engage users. If possible, rewarding users with in-game currency, items, or exclusive content can increase engagement rates and brand affinity. The aforementioned example of being able to earn Mercedes-Benz cars in Mario Kart is a simple but effective model of this in practice.
What’s in store for in-game advertising?
In-game advertising is a powerful way to reach a highly-engaged, lucrative and fast-growing audience. There is no shortage of different types of games and no reason not to try in-game advertising.
Mobile games and handheld gaming platforms like the Nintendo Switch make it even easier for brands to stay connected and engaged with users even more than ever before.
New technologies like virtual reality and the Metaverse will bring more gaming environments, unique experiences and even more diverse opportunities for advertisers to explore.
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Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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