MARKETING
How Much Do Bing Ads Cost?
If you’re here, you must be wondering “how much do Bing ads cost?”
You’re smart to focus on Bing and other search engines instead of just Google ads.
According to Statista, Bing has 1.03 billion unique global visitors per month. In addition, 38 percent of Bing users had an annual income of $100,000 or more.
Not only is the search engine installed in billions of devices, but the platform is also appealing to a significant number of high-income earners.
In this article, we’ll share everything you need to know about Bing ads.
Factors Affecting the Cost of Bing Ads
Microsoft Advertising provides pay-per-click (PPC) ads for Bing–but how much do Bing ads cost?
Well, it depends. Advertisers only pay when a potential lead clicks on their ad.
Because of this, you need to assess your budget in terms of cost-per-click (CPC) and the number of clicks.
Let’s say you want a PPC ad to get 100 clicks per day. Every click has a maximum CPC of $0.50. To determine your possible daily cost, multiply $0.50 by 100—$50 per day.
If you want to change your budget, make the necessary adjustments on the Microsoft Advertising platform.
There are two budget types in the Bing ad platform:
- Daily: Targeted daily limit for PPC ad spend (actual amount could be a bit higher or lower).
- Shared: Lets you set up multiple campaigns with a shared budget.
Microsoft’s daily budget types let you estimate the amount you may spend on advertising per month using the following formula:
If you change your daily ad spend, use this formula to figure out the monthly cost:
Although PPC spend could surpass the estimated monthly limit, Microsoft Advertising will refund the excess cost at the end of the month.
Types of Bing Ads
Now that we’ve looked at Bing ad costs, let’s take a look at the different types of Bing Ads you can create.
Expanded Text Ads
This type of ad is usually found in search results. The title allows three headlines of up to 30 characters each, and text including up to two descriptions of up to 90 characters each.
Here’s how it looks:
Dynamic Search Ads
These appear on relevant search queries related to your website. There’s no need to manage bids, maintain keyword lists, and customize ad titles.
Product Ads
Product ads include product images, prices, promotional text, and seller information.
Microsoft Audience Ads
These ads enable businesses to collect non-search traffic through contextual and strategic placements. They can be placed in an article or page content to provide additional avenues for brands to communicate with visitors.
Microsoft Advertising in Bing Smart Search
Smart Search results showcase a preview of your landing page.
App Install Ads
These look like regular text ads but have direct links to your app store, leading you to a post from which you can download the advertised app.
Responsive Search Ads
These ads eliminate the need to identify ideal headlines and ad descriptions. All you need to do is list 15 headlines and four descriptions; then, Microsoft Advertising determines the best combinations.
Bidding Strategy
Microsoft Advertising has several bidding strategies to help ensure your money is well-spent based on clicks, conversions, and searches.
Consider the following ways this platform can manage your bids:
- Enhanced CPC: This is the default way to manage bids in your campaigns. To get started, select your ad group and keyword bids. Then, Microsoft Advertising modifies bids in real-time to potentially boost conversions.
- Maximize Clicks: This lets you achieve the most clicks possible based on your specified budget.
- Maximize Conversions: True to its name, this enables Bing to set bids and gain as many conversions as possible based on your budget. You can set a maximum CPC, so you don’t have to pay more than a specific amount for a click.
- Target Cost Per Acquisition (CPA): You can set a 30-day target CPA, and Microsoft Advertising will automate bids. In this strategy, keyword bids are optimized based on ad schedule, device, and location.
- Target Return on Ad Spend (ROAS): This metric allows you to set a budget with a target 30-day average ROAS. Once it’s specified, Microsoft Advertising enables users to bid in real-time to attain this average.
- Manual CPC: Manual CPC lets you manage your keyword bids and ad groups.
Bing Ad Metrics
Once you set up a campaign, you’ll find several performance metrics based on your keywords.
Here are the key performance metrics in Microsoft Advertising:
- Estimated Monthly Clicks: number of times people are expected to click your ads per month based on your budget, targeting, and keywords
- Estimated Monthly Impressions: number of times people should see your ads in a month based on your budget, targeting, and keywords
- Estimated Monthly Spend: estimated cost of the ad group per month
- Estimated Average Position: placement of the ad in the search results, such as top, side, or bottom
There are also other common metrics that you can use to measure an ad’s performance and your ROI.
- Impressions: the number of times your PPC ads were featured on the Bing SERPs
- Conversions: number of clicks on PPC campaign ads
- Conversion Rate: percentage of visitors who clicked your website upon viewing the ad
- Cost Per Action (CPA): average cost of conversion from your PPC campaign ad
- Average CPC: total paid for all clicks divided by the total number of clicks
- Total Ad Spend: total spent on all clicks
- Return on Ad Spend: total revenue generated from PPC ads divided by the total amount spent on this channel
- Average Position: the average position of the PPC ad on the Bing SERPs
- CTR: average rate of clicks on your PPC ads
- Revenue total revenue generated from conversions
Bing Ads Cost Per Industry
Bing may not be as popular as Google, but it often has great results anyway.
Users may experience higher CTRs and conversion rates at lower CPCs and CPAs.
A WordStream study suggests the average CTR for Bing across all industries is around 2.83 percent. B2B services have an even higher CTR at 3.01 percent, making this worth investigating if that’s your type of business.
Then, there’s CPC. Bing’s average cost per click is $1.54—33 percent lower than Google Ads.
Of course, you want to get people to convert. Bing’s conversion rate is an average of 2.94 percent, with varying industries experiencing conversion rates between about 1.58 and 6.81 percent.
Bing’s average CPA across industries is $41.44.
Small businesses on a tight budget may be delighted to learn the average CPA is 30 percent lower than the AdWords customers’ average. Industries that enjoy a low CPA include home services ($21.68), careers and employment ($23.71), and apparel and accessories ($25.16).
These numbers prove Bing is an ideal platform for launching PPC ads. Marketers can expect stronger performance and better results by leveraging Bing for their paid search campaigns.
What Affects Bing Ad Spend?
How much do Bing ads cost? How much money should you allot for PPC campaigns? There are a few variables that could impact your budget.
Here are some of the factors to consider.
Account Size
Account size is determined by the number of ad groups, keywords, and campaigns in your account. Big companies with multiple PPC campaigns need larger budgets to keep multiple ads running.
Geographical Area
Location is another crucial factor impacting your PPC budget. Places with bigger populations may require higher CPCs, meaning larger budgets.
Industry
As we’ve mentioned previously, niche or industry could impact your cost per click.
According to a WordStream study, the lowest CPCs for Bing include careers and employment ($0.75), as well as apparel and accessories ($0.91). Costs are higher for other industries such as real estate ($2.88), education ($2.79), and automotive ($2.52). Moreover, you may have to pay more to target competitive keywords.
On average, CPC is slightly lower on Bing than on Google AdWords. However, it’s better to understand the average CPCs in your industry so you can plan accordingly.
Duration and Holidays
Since Bing advertising has a daily budget, a longer campaign duration means higher costs. Fortunately, you can modify the maximum amount you can spend each day so you don’t overspend.
When planning your campaign’s duration, take note of holidays, as these may impact the campaign’s cost. For instance, the fourth quarter of the year has a ton of holidays, so it may not be an ideal time for B2Bs to spend extra money on ads.
To maximize your ad spend, consider the ideal time for clicks and conversions of your past PPC campaigns. Scheduling your campaigns at the best times may ensure your money will be well-spent.
Audience Size
Your audience size impacts your campaign budget. A large audience could result in hundreds of clicks, but if the people clicking aren’t your ideal buyers, that’s money going to waste. Use data from your clicks to determine if you need to change your tactics.
Conclusion
So how much do Bing Ads cost? As you now know, it depends on which ad types you use, how long you run your campaign, and how well your CPC performs on your PPC ads.
While Bing is a lesser-known search engine, it can also help you improve your PPC campaigns.
If you plan ahead and keep an eye on your data, you could enjoy clicks and conversions at lower prices than other search engines.
If setting up your ad campaigns on Bing sounds daunting, we can assist you!
What successes have you had when advertising on Bing?
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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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