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5 CMO tips to transform marketing operations from killer to dream fulfiller

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5 CMO tips to transform marketing operations from killer to dream fulfiller

You just applied a dose of shampoo to your hair. You finished your best singing-in-the-shower rendition of Ed Sheeran’s “Shivers” when BAM! That once-in-a-lifetime genius marketing idea hits that will enrapture customers and slay your KPIs. As the firm’s newly appointed CMO, you need a breakthrough. 

Tripping out of the shower with shampoo still in your hair, you schedule an urgent Zoom call with your leadership team to unveil your brilliance. Your Marketing Operations (MOps) director’s face looks like you just ate her puppy for breakfast. Was it your bathrobe? As she begins explaining her concerns, you see your idea dashing up against the shoals of MOps reality. 

Sigh.

For many CMOs, the marketing ops team is the killer of dreams, stopping creative marketing strategies in their tracks or diluting them beyond recognition. The best CMOs balance creativity with marketing ops constraints and partner with rather than dictate to this vital team. Where your technology expenditures top marketing budgets, ensuring your marketing ops is a fulfiller of dreams has never been more important.

Here are five CMO tips to help your MOps team become a fulfiller of dreams:

1. Temper the reality distortion field

Steve Jobs was infamous for his “reality distortion field,” continuously ignoring engineering constraints in favor of harnessing creativity. Early in his career, he challenged everything, eventually leading to his ousting from Apple. Later, he found more balance, challenging constraints at critical junctures while channeling his creative genius to transform industries. CMOs can learn from Jobs. MOps works under many constraints: what marketing tools can do, how data is structured, whether the data is clean and what team capacity is available. Rather than distorting reality, take time to understand constraints so you can build marketing strategies that work with rather than against these limitations.

For example, CMOs understand what MOps platforms are designed to do, but few understand how they are engineered. If you’re using your enterprise-grade CMS to create hand-crafted, custom-coded websites, you’re missing the power of its configuration and modularity.

It’s not to say there aren’t times for custom-coded websites and that constraints shouldn’t be challenged, but leveraging strength is the fastest track to progress. Where you are weak, push MOps to get better, but don’t push all weaknesses at once or all the time, or you risk a MOps mutiny. CMOs that find a sensible balance will gain the respect and trust of MOps, fueling their desire to find those breakthroughs.


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2. Avoid the $100 hamburger

A New York City chef advertises a succulent, $100 hamburger of the finest ingredients. While she can taste all $100 of her culinary genius, the average consumer’s palette tops out at $20, leaving $80 of hamburger enjoyment wasted. Similarly, creating the $100 hamburger of marketing content means obsessing over a delicate turn of phrase, a 1-pixel move of an image to the right, or the judicious use of a semi-colon. Endless feedback loops on delicate nuances require staging, rendering, publishing and localizing, burdening MOps with rework largely undetectable by customers. Savvy CMOs understand this law of diminishing returns and seek progress over perfection. It pains some to think of putting out “really good” versus “near perfect” content, but they should ask themselves, “by making these changes, how many incremental conversions am I going to drive?”

Thankfully, site analytics can be an impartial judge in determining how tasty the site needs to be to drive conversion before additional flavor becomes superfluous. Making practical content tradeoffs will secure MOps’ loyalty.

3. Stay on target

A fellow MOps colleague built a bullet-proof process for his CMO to prioritize MOps work, complete with a martech stack roadmap, program enablement, and new features. His first priority meeting went swimmingly as the CMO raved about the process, gloried its clarity and set a clear direction. My friend was delighted until the next priority meeting.

It was as though the CMO had amnesia, experiencing the priority process for the first time. Despite MOps cautions, she made dramatic shifts, reordered priorities, and inserted new, ambitious asks, citing shifts in strategic direction that were largely unknown to the team. When asked to make tradeoffs, she struggled while questioning the longer delivery lead times. My MOps friend left deflated only to experience a Jekyll and Hyde CMO for the next few months with more “strategic” shifts in direction that masked the CMOs inability to hold to a consistent strategy.

In the whiplash of changes, my MOps friend suffered disproportionately as his platforms and data were not as pliable as creative and copy, making him look like a laggard. Of course, MOps teams expect change, but they will bend over backward for the CMO that holds a steady course.

4. Reward more fire prevention, less firefighting

Too many marketing organizations embrace the Hair on Fire (HOF) approach where teams madly scramble in a continual state of chaos. When rewards are handed out, those whose flames burned the brightest (longest hours, most frantic pace) are recognized, perpetuating the cycle as HOF becomes the “go-to” method for execution. The HOF approach may look like the fastest way to get stuff done; ironically, when process and structure are consistently trampled in the panic to hit deadlines, things get slower. Each heroic HOF effort gets harder to muster. While HOF has its place for legit emergencies, it’s not viable long term as its “crack the whip” impact is painful for MOps, especially during last-mile execution.

CMOs should recognize that MOps can optimize the marketing supply chain, getting faster, efficient, and increased throughput as chaos is tamed. Through methods like standard processes, RACIs, intake forms, SLAs and powerful platforms, MOps can better organize and orchestrate marketing. CMOs must ditch their HOF security blanket and reward MOps’ efforts that prevent HOF rather than perpetuate it. Too much process will choke any organization, but sensible structure increases productivity and will charm the socks off your MOps team.

5. Empower the people

Some CMOs have a high need for creative control. I was assigned an ambitious, from-the-ground-up redesign and re-platforming of our marketing website by one marketing exec. Enthused, I presented the strategy, gained sign-off from my exec and planned our project kick-off. The exec asked to attend, and I assumed he would be there to see that things got off to a good start.

Within minutes it was clear he would drive the marketing strategy. As time progressed, he selected the design theme, spent late nights writing copy and hand-picked images, all while requesting iterative, finely-nuanced changes (see $100 Hamburger). Over time, key decisions backed up as he struggled to push decision-making deep enough into the organization to hit milestones. While the entire marketing team struggled with micro-management, the MOps team was hit hardest as backups begat emergencies, and their schedules were crashed to hit milestones. MOps teams appreciate a CMO that articulates clear governing principles and empowers the people to do the work.

I spend time reading online MOps forums, and there is a consistent theme of MOps feeling snake-bitten and underappreciated. They truly want to be fulfillers and not killers of dreams but need marketing leadership to understand their domain better. So, before you stumble out of the shower again with your next brilliant idea, share this article with MOps and ask them what resonates, what they need to become a fulfiller of dreams. Drop me a note at [email protected] and let me know how it goes!

Marketing work management: A snapshot

What it is: Marketing work management platforms help marketing leaders and their teams structure their day-to-day work to meet their goals on deadline and within budget constraints, all while managing resources and facilitating communication and collaboration. Functions may include task assignments, time tracking, budgeting, team communication and file sharing, among others.

Why it’s important today. Work environments have changed drastically due to the COVID-19 pandemic. This has heightened the need for work management tools that help marketers navigate these new workflows.

Marketers have been at work developing processes that allow them to work with those outside their own offices since marketing projects—campaigns, websites, white papers, or webinars—frequently involve working with outside sources.

Also, with marketers required to design interfaces, write content, and create engaging visual assets today, more marketers are adopting agile workflow practices, which often have features to support agile practices.

What the tools do. All of these changes have heightened the need for marketing work management software, which optimizes and documents the projects undertaken by digital marketers. They often integrate with other systems like digital asset management platforms and creative suites. But most importantly, these systems improve process clarity, transparency, and accountability, helping marketers keep work on track.

Read next: What is marketing work management and how do these platforms support agile marketing


Opinions expressed in this article are those of the guest author and not necessarily MarTech. Staff authors are listed here.


About The Author

5 CMO tips to transform marketing operations from killer to
Spence Darrington is a Managing Director and marketing scale expert at Bridge Partners. Prior to Bridge, Spence worked for Microsoft, Expedia Group, and Ford Motor Company helping transform their marketing models to achieve scale. While at Microsoft he pioneered B2B marketing shared services for delivery, building an organization of 500+ execution experts based in hubs around the world. Spence holds a Bachelor’s degree in International Relations from Brigham Young University and a Masters in Business Administration from Purdue University. Spence lives in the Seattle, WA area.


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YouTube Ad Specs, Sizes, and Examples [2024 Update]

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YouTube Ad Specs, Sizes, and Examples

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!

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Why We Are Always ‘Clicking to Buy’, According to Psychologists

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Why We Are Always 'Clicking to Buy', According to Psychologists

Amazon pillows.

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A deeper dive into data, personalization and Copilots

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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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