MARKETING
How To Create Content That Leads Niche Discussions
Executives don’t find thought leadership content all that insightful.
A recent Edelman-LinkedIn study revealed that 71% of decision-makers say half or less than half of the thought leadership content they read or watch gives them valuable insights.
How can your brand’s content fall into the half of content that provides valuable insights? Enter ownable conversations – a more intentional and substantive approach to creating thought leadership content.
Ownable conversations are editorial perspectives that highlight a brand’s unique value and category expertise to its audience. As “big ideas,” they allow a range of expert-driven discussions, industry nuances, and clear perspectives that help to increase market awareness and build brand reputation.
More simply, ownable conversations are typically big ideas within your target industry that develop more detailed discussions, industry nuances, and intentional perspectives.
Ownable conversations are your insurance against generic content. Investing in an ownable conversation can help you to:
- Steal share of voice from competitors
- Drive increased traffic to your digital properties
- Retain and engage your target audience
- Steer clear of the cycle of creating generic content
- Establish credibility by highlighting your expertise
- Prime future customers for your products and services
Ownable conversations are your insurance against generic content, says @lieuthi via @CMIContent. Click To Tweet
How to create an ownable conversation
Ownable conversations have some key trademarks:
1. Harness something proprietary
Offer audiences something no other brand can – your proprietary information. This often comes in the form of data insights or original research. A study by BuzzSumo and Mantis Research reveals 94% of responding marketers agree “original research elevates their brand’s authority in the industry.”
94% of marketers say original research elevates their brand’s authority in the industry, according to #research from @BuzzSumo and @MantisResearch, via @lieuthi via @CMIContent. Click To Tweet
If you’re in a hyper-competitive category or building a new one, original research is one of the fastest routes to making a good impression and establishing your credibility. Consider turning any type of first-party data (anonymized and aggregated) into content. And if you don’t have access to that data internally, you can easily generate it via surveys.
Example
IBM’s Cost of a Data Breach Report is a highly anticipated annual report in the IT, technology, or cybersecurity industry — whether you’re an IBM customer or not.
Why it works: A lot of brands and media cover cybersecurity topics, but few have the breadth of experts IBM has who can put that news into context with thoughtful analysis and real-life applications. Against a backdrop of proprietary data, IBM uncovers what makes cybersecurity exciting for the people behind it and what’s next for the industry while emphasizing the brand’s authority in this space.
2. Exhibit your niche expertise
A CMO Council study finds that only 12% of marketers think their content marketing programs reach the right audiences. One possible reason is that brands are failing to serve the content that B2B professionals need. The more niche your expertise, the better. An ownable conversation asks you to meet your audience’s needs by showcasing what you’re uniquely good at. For example, if you’re in digital advertising, which lane within the topic can you drill down into and claim as your area of expertise?
Example
As exemplified in case studies, the niche for Google’s navigation app Waze is in-car advertising. Via this lane of expertise, the brand illustrates its ability to drive awareness, reach new customers, and increase visits to brick-and-mortar stores.
3. Be innovative
A global B2B study conducted by Edelman reveals 81% of business executives want provocative insights that challenge their assumptions rather than validation of their thinking. An innovative point of view helps your brand stand out and strengthens brand awareness.
An innovative point of view helps your brand stand out and strengthens brand awareness, says @lieuthi via @CMIContent. Click To Tweet
Being disruptive should come from a natural place for your brand. Every company has a value proposition, and that value proposition usually has something to do with improving the status quo. Brands should seek to elevate the category rather than merely keep up with the competitors. By doing so, you take a natural leadership position.
Example
GE’s 2017 Balance the Equation campaign was crafted to address the gender imbalance in STEM (science, technology, engineering, and math) industries.
Why it works: This GE campaign expertly identified a sweet spot between what was happening culturally (a lack of women in the STEM industry) and GE’s agenda for innovation. While GE had historically been known for innovation in aviation, renewable energy, and other industries, this campaign allowed the brand to emerge as a change-maker and champion of diversity.
By pledging to put 20,000 women in STEM jobs by 2020, the campaign’s unifying message of #BalanceTheEquation increased GE’s share of conversation, as evidenced by several earned media mentions, heightening the brand’s reputation and increasing its appeal as an employer of choice.
HANDPICKED RELATED CONTENT:
Ownable conversations take time
Like any investment in content, ownable conversations take time to build traction. I see three distinct phases – how long each takes is based on your budget and resources.
Ownable conversations take time to build traction. How long? That’s based on budget and resources, says @lieuthi via @CMIContent. Click To Tweet
Phase 1: Establish the conversation
Identify ownable conversations by locating the gaps in thought leadership content across the customer journey (vertical-specific trends, consumer insights, etc.) and within your category. Create editorial content to show your coverage of these key areas and drive an organic share of voice.
Phase 2: Hone your niche
Find the content within each ownable conversation that drives the highest traffic to your domain and the highest engagement (e.g., time on page, engagement rate). Explore how you can go deeper on those topics and carve out an even more specific corner of the market.
Phase 3: Grow your impact
Extend your reach, build brand salience, and amplify your messages through rich, multi-channel content experiences and campaigns, reaffirming your brand as a leader in your industry landscape and the authority in the category.
Let your content own the conversation
As marketers and content creators, it should be our mission to create the most value we can for our audiences and our brands. But we fail when delivering B2B thought leadership content that doesn’t offer value to decision-makers. We can win the conversation only when we create ownable conversations by elevating our content to meet audiences where they are, with the information they need.
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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