MARKETING
How To Interview a Job Candidate in a Style Fit for a Content Marketer
Once upon a time, you had an opening on your content marketing team.
Combing through the resumes, you winnowed the pile to a half dozen potential unicorns who should know how to craft content that grabs (and keeps) your audience’s attention while keeping the brand’s goals top of mind.
On the appointed day, you clicked on the video conference link and, up popped one of the finalists. Of course, you asked a bunch of questions. After all, you were looking for answers.
But there may be better interviewing strategies for a content marketing vacancy than bombarding candidates with questions.
Bombarding candidates with questions may not be the best interview technique for #content marketers, says @AnnGynn via @CMIContent. Click To Tweet
My advice? Don’t ask them any questions.
Yes, you read that right – stop with the questions. Kick the Q-and-A format to the curb.
Instead, turn it into a storytelling exercise and give story prompts to the candidates.
Why? You can assess their ability to weave together a story. Given you want to hire someone to tell stories about your brand, their ability to tell stories about themselves gives you a great understanding of their talent (or lack thereof) that their resume can’t.
Storytelling also allows you to better distinguish one candidate from another. After all, two candidates may regurgitate the same years of experience and the same titles held, but when they tell their experiences as a story, you will remember their differences. Why? It’s science. People remember stories. People forget facts and stats.
A Stamford University study done decades ago asked students to memorize 12 words. Half studied the list for two minutes. The other half turned the words into a creative narrative. Almost all (93%) of the students who told a story recalled the words. Only 13% of those who studied the list could do the same.
More recently, Make It Stick authors Chip and Dan Heath also did an experiment at Stamford. They asked students to give a one-minute speech about violent crime. Students used an average of 2.5 statistics in their speeches – only 5% of the audience could recall any statistic. One in 10 students told a story – 63% of the audience could remember the stories.
(And yes, I see the irony in using statistics to help make my point on the power of storytelling.)
But you probably didn’t need those numbers to appreciate the power of stories. Just think about the last time you interviewed candidates for a content marketing role. You smartly scheduled them all in a single day. By 5 p.m., the ones who stood out probably weren’t the candidates who spouted perfunctory facts and figures. You can’t recall – without reading your notes – who wrote weekly newsletters or who did a daily blog. No, the memorable candidates told a story (or stories) you could easily recall and connect with their faces.
Content marketers tell stories around the brand. Job candidates for #ContentMarketing should be able to tell stories about their professional experiences, says @AnnGynn via @CMIContent. Click To Tweet
Ask no questions, and you’ll get more than facts
While what you want to learn from a candidate may differ based on the role, company, culture, etc., you can use these tips to customize the foundation for your interviews.
First, pull together a list of verbs that elicit stories. Some of my favorites include:
- Tell me …
- Describe …
- Explain …
- Demonstrate …
- Spell out …
(Use “spell out” when the candidate cuts their story short or doesn’t flesh out the necessary details.)
Now, it takes a little practice to use active voice in declarative sentences in interviews. To help you get started, consider these prompts (and adjust for the role as necessary) for some typical “questions” in your next interview for a new content marketing team member.
Instead of questions, use declarative prompts with verbs that elicit stories, says @AnnGynn via @CMIContent. Click To Tweet
Scenario 1
Don’t ask: What did you do at your last company?
Prompt a story: Tell me about when you joined your last employer and how that led to where you are today.
This prompt takes the candidate away from regurgitating their resume and into a space of reflection. As they go from the beginning to the middle to the end (or their current status), you can discover how they view their growth, changing responsibilities, and any other takeaways from the job experience.
You also will learn what they most want to highlight – what they prioritize. Do they focus more on the process or the results? Do they go too deep into the details or not enough? Are they circumspect and insightful, or do they take a just-the-facts approach?
Scenario 2
Don’t ask: How do you develop story ideas? or How do you approach your writing?
Prompt a story: Walk me through the process – from idea to production – of creating the last article you wrote.
Nebulous questions about the creative process can lead candidates to wax philosophically or speak in generalities. The prompt can elicit a more concrete response because they will talk about a recent experience. You can learn how they view their role in the creative process and understand the other roles with whom they work.
Scenario 3
Don’t ask: How do you handle feedback?
Prompt a story: Describe a time when you received feedback that you didn’t agree with.
If you ask the feedback question, you’ll find that every candidate appreciates feedback because it helps them deliver better work in the future. It’s a non-starter question, kind of like the classic interview question – what’s your biggest weakness? Any candidate worth their salt will turn their “weakness” into a strength.
Using this prompt again allows for specificity. More importantly, it lets you see how the person handles a negative situation. Did they speak up and share their disagreement with the feedback giver? Did they explain why or why not? (In some cases, it might not be worth addressing the difference in opinion because the boss would react poorly.) What happened in the end?
Scenario 4
Don’t ask: We offer both remote and in-office work environments. Which do you prefer?
Prompt a story: Explain what an ideal work environment looks like to you.
Candidates want the job offer – even if they later turn it down. So they will give the answer that best correlates with the company’s workplace environment.
The prompt gives a better glimpse into how well they might fit into your company’s culture. The details in their story highlight what’s most important to them – location, people, flexible schedule, etc.
Be a good listener too
Don’t forget that a good audience also motivates good storytelling. Listen actively. React nonverbally – head nodding and smiles encourage the storyteller to continue – and verbally – recap or repeat a point from their story to share how that might work at your company.
Of course, you may find a candidate who tells a story that goes on and on. First, mentally note how well they understand the audience and storytelling purpose. Then, interrupt when they pause to move the story along by saying something like, “Oh, that’s really interesting. Tell me how it ended up.”
With these story-prompt interviewing techniques, you can accomplish two things at once. First, you’ll learn about the candidate’s experience and insight as you would in a traditional question-and-answer interview. But you’ll also discover if they have that hidden unicorn horn – they can tell good stories that always keep their business purpose (i.e., getting the job) in mind.
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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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