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the second key persona for modern marketing operations leaders

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Marketing operations talent is suffering burnout and turnover

This 4-part series presents a framework that helps rationalize the roles and responsibilities modern marketing operations leaders are taking on. This installment summarizes the framework briefly, and dives into how MOps leaders are now “orchestrators.” 

In case you missed it, part 1 is here.

Inspiration for this framework

Two years ago, marketing technology pioneer and chiefmartec.com editor Scott Brinker outlined the four key responsibilities of marketing technologists, summarized here.  

That work espoused the view that you could be both a marketer AND a technology leader. They are not mutually exclusive! It was my inspiration for this framework, explaining how today’s MOps leaders are instrumental for marketing and business success.

X-Axis:  A range of skills from a focus on technology to creativity and arts

Y-Axis: A range of decision-making skills, ranging from emotional to rational approaches

The resulting grid captures four MOps archetypes or “personas.” MOps leaders exhibit characteristics across all parts of this framework and will operate in multiple quadrants, similar to Brinker’s frameworks.

Modernizers – Are most likely to be the “original” technologists, constantly modernizing their martech stack.

Orchestrators – Are the closest to Brinker’s Maestros and the focus of this article. He described this archetype in 2020 as the “Operations Orchestrator — MAESTROS who design and manage the workflows, rules, reports, and tech stacks that run the marketing department.

Psychologists – Are now increasingly responsible for “reading customers’ minds,” i.e. interpreting customers’ interest through intent data and digital engagement.

Scientists – Are constantly testing and evaluating. Experimentation is their specialty.

Orchestrators: Leaders of the band

Now that you’re familiar with the framework, let’s dig deeper into the Orchestrators!

I’ll start with a personal story. My exposure to orchestration started with 8-straight years of practice in violin and trumpet during my formative years. Each week was literally a blur of private lessons, group lessons, orchestra and/or band practice. I probably spent as much time with music directors as I did with my family.  

It was painfully obvious to those conductors when we hadn’t prepared or practiced. Moreso, we would get – literally – an “earful” from the conductor when we were not listening to the other instrument sections. If we were not coordinating our efforts and timing, the outcome was awful for anyone listening.

the second key persona for modern marketing operations leaders
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This orchestration metaphor is powerful because there are multiple levels for MOps leaders:

  • As a project management team within marketing, and often as a conductor across external agency partners.
  • As a cross-function business partner and primary contact for IT, compliance, and legal, in addition to the traditional MOps role of achieving marketing/sales alignment

Notably, all marketers have to be project managers for their own tasks/deadlines. They must be aligned with overall campaign and program timelines. 

However, as organizations scale they are more likely to have dedicated project management teams to handle coordination across the specialist teams within marketing. The orchestration responsibility may include timeline, scope, and capacity trade-offs even after campaign briefs have received approval. 


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The orchestration responsibility multiplies when agency execution teams are delivering on individual tactics and media buys. Last year, Optimizely described these evolving orchestration duties as a “transformative shift and approach towards how marketing synchronizes their teams, content, channels, workflows, and data!”

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I believe the shift is even more impactful, with orchestration benefits being felt beyond marketing. The highest value “program orchestration” responsibilities occur when MOps leaders are representing marketing’s interests in enterprise-wide programs with other functions within the organization, including product, compliance, and IT. Examples of orchestration duties with these other key functions can include:

  • Product teams – Coordinating campaigns with major product feature/functionality launches, and managing brand standards.
  • Legal/Compliance – Overseeing compliance with Can-Spam, GDPR, and CCPA, and customer preference and data privacy initiatives that may be initiated by a marketing touch-point. 
  • IT/Procurement – Technology stack management, vendor evaluations and negotiations, platform integrations and data management.
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All of this departmental and cross-departmental coordination requires skill sets that can be analogized as the difference between a chamber orchestra (marketing) and a full symphony. It’s the highest level of conducting across the enterprise. 

MOps leaders are holding individuals and teams to target timelines while managing the scope of a particular campaign and business initiative. They do this while also overseeing targeting of customer and prospect segments.

In order to accomplish this complex segmentation and coordination, MOps leaders are now responsible for cross-functional data – embodied by the modern martech stack imperative: integration. Integration across systems has been the #1 issue for marketers since the modern marketing tech stack started exploding in the early 2010’s, but software and solutions providers finally listened. A tipping point was reached in 2020. Marketers reported that we were finally working within an integrated, multi-system environment, according to a CDP Institute member survey analyzed here.  

Continuing with the orchestration analogy, the conductor is the integration “synchronizer,” deciding if/when the data flows across the stack. The sheet music is the data model standard showing how to map common attributes. 

However, just because we now have this more integrated environment does not mean our work is done. The instruments do not play themselves (yet!) and they require configuration and deliberate training to play effectively — both individually and in groups. 

Training was one of the top responsibilities for marketing ops leadership, ranking it in the top 5 of MOPS tasks by percentage of work, according to the 2022 MarTech Salary and Career Survey, published jointly by MarTech and chiefmartec.com (free, ungated download here). conducted by chiefmartec.

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In the 2020 version of that same study, training was highlighted as one of the top two responsibilities for many of the primary marketing technologists personas, and 91% of operations orchestrators reported that training and supporting technologies were among their top priorities.

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MOps leaders are never done

Finally, under the category of “MOps leaders are never done”, the last several years have also forced a whole new category of orchestration duties – a combination of conducting, training, and martech growth: marketing work management.

The largest growth (67%) over the last several years was in the category of “work management”, according to the 2022 edition of the Martech Landscape. Established entrants such as Adobe expanded with the acquisition of Workfront, while newer players like Trello and Monday gained traction.  

Although this was already a prevailing trend BEFORE the pandemic, the hybrid/remote work environment brought on by the last 2+ years forced these project management and agile-planning tools to the forefront.  The marketing work management category grew to over 1000+ tools, according to the State of Martech 2022

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Source: State of MarTech 2022 – chiefmartec.com and Martech Tribe

MOps leaders are Maestros

In summary, modern MOps leaders are indeed Maestros. They are skilled orchestrators, conducting a symphony across multiple levels. They lead:

  • Omni-channel campaigns within marketing and across business functions
  • Integration across an ever-growing, integrated martech stack
  • Training and deployment as one of their primary responsibilities 

Editor’s note: In Part 3 of this 4-part series, Milt will expand on MOps leaders’ growing role as Psychologists. For background on this framework, see Part 1 of this series here


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


About The Author

Why marketing operations leaders have become modernizers

Milt is currently Director of Customer Experience at MSI Data, an industry-leading cloud software company that focuses on the value and productivity that customers can drive from adopting MSI’s service management solutions.

With nearly 30 years of leadership experience, Milt has focused on aligning service, marketing, sales, and IT processes around the customer journey. Milt started his career with GE, and led cross-functional initiatives in field service, software deployment, marketing, and digital transformation.
Following his time at GE, Milt led marketing operations at Connecture and HSA Bank, and he has always enjoyed being labeled one of the early digital marketing technologists. He has a BS in Electrical Engineering from UW Madison, and an MBA from Kellogg School of Management.

In addition to his corporate leadership roles, Milt has been focused on contributing back to the marketing and regional community where he lives. He serves on multiple boards and is also an adjunct instructor for UW-Madison’s Digital Marketing Bootcamp. He also supports strategic clients through his advisory group, Mission MarTech LLC.

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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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