MARKETING
How To Vet External Content Sources
They’ve been in my life for over 10 years.
For most of that time, they gave me what I wanted. It wasn’t perfect, but no relationship ever is.
Then, those imperfections cropped up more often.
The community of sources on HARO no longer gave me what I needed. I wondered if it was me. Was I requesting something that wasn’t possible? I adjusted my queries. Lowering my expectations helped. It wasn’t the best, but it worked well enough.
Then, I got an unsolicited note on LinkedIn. He said he represented a source quoted in a recent article and wanted me to link to the source’s website. When I explained the Content Marketing Institute policy allows links to the source’s LinkedIn profile, not their website, his response astounded me:
If that is the case can you change the credentials then? I’ll send you the crendentials (sic) of my clients who would like a link back on their LinkedIn instead. And remove my clients who would not like a link to their LinkedIn.
Yes, he wanted me to substitute one client’s name for another. (Even funnier – or sadder – is that the article was about people’s favorite blogs, podcasts, and video series.)
I played along and asked for their names. He listed three.
I removed “their” contributions from the article, not because he asked but because he’d revealed that the opinions offered weren’t theirs. (Unfortunately, he never sent me the alternative names. I wanted to know so I could add them to my do-not-quote list.)
When I searched for his clients’ names in my inbox, I realized all three sources had come from HARO – that free service that distributes writers’ queries to potential sources.
That unbelievable note from the LinkedIn guy was the final straw (well, kinda, stay tuned). I switched my HARO relationship status to “on a break.”
External sources require due diligence
Using external sources can be a valuable strategy for content marketing. They bring an independent perspective and fresh voice to your content. That can increase the value of your content because it isn’t filled with only internal sources whose contributions could be perceived as having a slant or bias since they work for the company.
Using external sources can be a valuable strategy for #ContentMarketing, says @AnnGynn @CMIContent. Click To Tweet
Third-party sources also bring different credibility to your content – they indicate other people think your content is worth their time to contribute. Finally, their inclusion may prompt them to promote your content to their audiences.
It can be a win-win situation, but that doesn’t mean you should just accept their information as presented. Think about why sources take their time to contribute. Sure, some are just genuinely interested in sharing their knowledge. But most see it (rightly) as a good public relations opportunity. By connecting their name with a third-party publisher, they gain or strengthen their credibility in their industry. They also may gain a backlink or two to help their SEO efforts.
Given those self-interest benefits in mind, a few sources might be tempted to do anything it takes to get quoted. They don’t care about your audience. But you do, and that demands an extra level (or two) of scrutiny.
External sources can be valuable to a brand’s #content. But they also demand an extra level of scrutiny, says @AnnGynn via @CMIContent. Click To Tweet
I’d long ago learned to validate my sources, whether they came through HARO or were crowdsourced elsewhere. If I don’t have a familiarity or direct connection with the source, I research them by asking the following:
- What does a Google search for their name turn up? Does it confirm what I already learned about them? (If their name is more common, I add their company and location to the search.)
- Does the Google search reveal that other sites have used them as a source? In some cases, I’ve found a source quoted on many unrelated topics – often that’s because they respond to many HARO queries. If they haven’t positioned themselves as an expert on my article topic, then I don’t use them.
- Does their LinkedIn profile reflect the title and company they gave me? If not, I will reach out to the source to inquire. If the explanation seems reasonable or can be double-checked, I keep them as a source.
- Does their email address contain the company’s domain name? Does that domain have a live website? If not, I’ll go without their comment or do more due diligence.
Also, when a public relations person sends a source’s comment through a HARO or other crowdsource request, I research to make sure the PR person really works as a public relations professional using the same questions I use to vet sources. Once I’ve verified them, I ask to communicate directly with the source to verify their contribution.
Since my experience with that HARO link broker on LinkedIn, I now sometimes take an old-fashioned step. In his case, the three names identified as his clients sent individual replies that appeared to come directly from them and included their “personal” email addresses and company domains.
Now, when I have a source I really want to use but whom I haven’t vetted to my satisfaction, I search for the company’s phone number and have a real-life conversation with someone to verify the person’s role.
Alternative crowdsourcing sources
Remember I said there was more to the story of going on a “break” in my HARO relationship? Well, six months later, I went back to the source-finding platform. This time, I brought along a stronger shield to protect my content against bad sources. And guess what? That guy from LinkedIn reappeared. He had totally forgotten about our previous interactions on LinkedIn.
This time, he used his name as the source. The funny thing is, he used it twice – two emails (one sent under his name and one sent under another name) with two different answers and two different companies attributed to him.
So in 2023, I broke up with HARO permanently. Link brokers, like my LinkedIn guy, take up too much space in my inbox. And even the authentic sources seemed to have given up on replying to the specific questions I asked and opt for quicker-to-create and more general responses.
I realized it wasn’t me. My relationship with HARO had simply run its course. What I got in the beginning was no longer possible.
Now, I’m back in the market for expert crowdsourcing opportunities. I dabbled with Qwoted last month and liked it. The sources and public relations representatives answered the question asked, seemed to have substantive backgrounds on the topic, and were easy to vet through my normal channels.
Never have a single source for finding external sources for your #ContentMarketing, says @AnnGynn via @CMIContent. Click To Tweet
Even before my run with HARO, I never had a single relationship for sources, and I still won’t. I continue to ask questions on Twitter and post queries on LinkedIn (through my channel and in groups). I also go old (journalism) school for new sources – researching on my own to identify potential sources and reaching out to them.
After all, the only relationship in content marketing that requires singular commitment is the one with your audience. And that’s why it’s important to play the field for sources in a way that brings validity, credibility, and value to your content.
All tools mentioned in the article are identified by the author. If you’d like to suggest a tool, please add it in the comments.
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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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