MARKETING
Forget Views and Shares: Choose Better Content Metrics
Updated July 20, 2022
It’s impossible for your content to hit the mark when you don’t focus on your aim.
Yet, content marketers do it every day. You track clicks, impressions, and shares, thinking those metrics will indicate if the content asset is on target to meet its goals.
But fixating on those metrics causes you to lose sight of the bull’s eye. They don’t tell the full story of what your content is doing. To help you refocus on what counts, I’ve compiled the metrics that best tell the stories for brand awareness, demand and lead-gen, sales enablement, and audience-engagement goals.
Brand awareness
Brand awareness is one of the most difficult metrics to track due to its incredibly qualitative nature. In the most recent Content Marketing Institute B2B survey, more than 80% of marketers say they’ve used content to increase brand awareness in the past 12 months. But how do they know for certain what kind of awareness has increased? For insight into brand awareness, think about:
Demographics
Striving for generalized brand awareness is usually the wrong way of going about it. While it’s great to be a household name, it’s important that your brand is known among the demographics most likely to engage with your product. Track who specifically searches and finds your brand. Do they belong to the demographic groups most receptive to your product?
Brand image
Regardless of how important shares and views are as metrics, they don’t tell the whole story of brand awareness. They also don’t even begin to give insight into the brand image. One way around this is setting up short online polls that not only ask questions that relate to your brand’s public perception but also ask about how often people are likely to talk about your brand and how often they hear others talk about it. There are several digital PR tools listed at the bottom of this article that can help you execute brand image goals.
A helpful way of thinking about this is through the lens of customer sentiment. Gauging how satisfied people are with your brand gives you a sense of how likely they are to talk about and share your brand with their peers. Brand awareness involves more than just static impression numbers — it’s also about making sure that the impressions you make are positive ones.
HANDPICKED RELATED CONTENT: For Better Content Marketing, Listen First, Create Last [Rose-Colored Glasses]
Demand and lead generation
Perhaps the most common method of measuring demand generation is content share numbers. These numbers, while important, aren’t reliable for understanding how content distribution generates leads. Even more specific engagement data like the number of clicks doesn’t necessarily shed light on which pieces of content are attracting new customers.
Consider these metrics to evaluate genuine demand and lead generation:
Demand volume
Simply put, how does your content publishing affect the number of people (and ultimately leads) engaging with your site? Carefully track your visitors to see how they get to your site. Clicks never tell the whole story. Maybe your content is improving your site’s position in search engine results. I’ve worked with MarketMuse in the past, and they are good at having AI features that influence the content so that it meets the right demand based on search metrics. Making data-driven decisions is key to content planning for demand volume. Taking a step back to look at larger demand volume trends relative to your content production and placement can yield helpful insights.
Clicks never tell the whole demand story, says @JohnHall via @CMIContent. Click To Tweet
Conversions
Getting leads is all about getting your content in front of the right people. Fishing in a well-stocked pond yields better results than casting your line in a near-empty lake. If you look at a list of growth marketing agencies, you will see content is playing a bigger role in each. Agencies that used to just do paid marketing now offer organic or conversion services for content.
I recently spoke with one of those companies, and they commented on how it’s not just about the conversion but about who converted. Content can help you get more of the right conversions. Effective content is made even more effective when it reaches the right audience.
Effective #content is made more effective when it reaches the right audience, says @JohnHall via @CMIContent. Click To Tweet
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Sales enablement
Sales enablement is the natural sibling of lead generation — there’s not much point in pulling in new clients if that effort doesn’t result in healthy sales. Content is a key component of the sales process; it often demonstrates your product’s or service’s practical value. To track how your content influences sales, look at:
- Sales comparison: Track the effect content exposure has on your clients. Look at how sales fare among clients who haven’t engaged with your content stack against sales from clients who have. Look at both conversion numbers and contract sizes to determine the effect content does or does not have.
- Customer retention: Track the effect of prolonged content exposure. Compare your customer retention rates for those who consistently engage with your content with those who don’t. It can demonstrate customers who find your content valuable post-purchase and will reward your brand, product, or service positively.
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Audience engagement
A few years ago, audience engagement could only really be tracked by numbers – how many people looked at your site, how many shared your links, and so on. Today, the tools for tracking audience engagement are more advanced and give more meaningful information. Some ways of audience-engagement tracking include:
Platforms of engagement
Give context to your engagement numbers, particularly by categorizing them based on the platform. High engagement on a platform like LinkedIn often naturally leads to more results than high engagement on more casual platforms like Reddit. Evaluating the types of sites where your content is circulated is a big part of understanding what kind of traffic that content is generating.
Micro-engagement
User-tracking platforms like Hotjar give information on how users are engaging with digital content, using click heat maps and tracking hovers and scrolls on your site. Matter Made can also help with demand generation by optimizing your marketing funnels to increase engagement and turn sourced deals to ROI. More detailed applications like these give greater insight into how your audience is engaging with your work, not just how much or how often. Looking at case studies of user engagement can provide a play-by-play of how users interact with your content.
User-tracking tools see how people engage with your #content, not just how much or how often, says @JohnHall via @CMIContent. Click To Tweet
Audience sentiment
Comments on social media posts help assess how your audience is engaging with your brand. But combing through dozens or hundreds of comments can be a big investment of time. Modern text analysis software can give a good overview of the kinds of words and sentiments people use in referencing your content. Seeing the language people use to discuss your brand can also highlight how likely those same users are to share your brand with others.
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Think and choose
There’s no one right way to measure the efficacy of your content. By picking the goals you want your content to hit, you can focus on the metrics best aimed at tracking them.
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All tools mentioned in the post are identified by the author. If you have a tool to share, please add it in the comments.
Cover image by Joseph Kalinowski/Content Marketing Institute
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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