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Do marketers need their own agile framework?

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Do marketers need their own agile framework?

As agile becomes more and more the norm in marketing departments, is it time for marketers to have their own framework? It’s been the common practice for marketers to cobble together parts of Scrum and pieces of Kanban and to figure out what resonates with them, but is that good enough, or would a framework that’s designed just for marketers by marketers be a better solution?

The question that I get asked in almost every training session is something like, “I love the idea of agile marketing, but what’s the best way to implement it at my company?”

Leaders in the agile marketing community have been meeting regularly to discuss many of the pain points associated with marketers and what needs to change to make lasting change.

“Marketing professionals face some serious challenges today. Agile marketing gives marketers the ability to be effective communicators with their stakeholder groups. Stakeholders no longer feel like they’re being marketed to; instead, they understand that they’re part of an ongoing conversation between them and the marketer. Adding an agile marketing framework would be a good step for marketing as the profession deals with the challenges facing the practice today,” says John Cass, co-founder of AlContentGen and a prominent leader in the agile marketing community.

The challenges with Scrum

I’ve always been a huge proponent of Scrum, and it absolutely can work for marketing teams when implemented well. But a lot gets lost in translation. It can easily be adapted for marketers with the luxury of a coach to help them make it applicable to marketing. However, companies without a guide often struggle to bring it to life in their world.

One of the key missing ingredients with Scrum for marketing is that the framework begins with the team’s backlog. Still, it doesn’t address anything that occurs upstream with how work originates and gets to the teams. When the practice starts there, marketers still don’t have a seat at the table.

In my experience, great agile marketing begins when marketers work with stakeholders early on to align on the desired outcomes of a project or campaign, allowing the team members to ideate on how they would go about creatively solving the problem.

At most companies, work is submitted through a brief, and the creative team is expected to execute to the exact specifications. What’s hugely missing here is the conversation around the business goals. 

So if I were to create an agile marketing framework, it would begin with collaborative planning between the stakeholders and the team, where they go back and forth between outcomes and creative solutions, leaving with shared alignment and understanding.

Another gap I’ve noticed with Scrum for marketing is the timing around feedback loops. While the Sprint Review was designed for product development teams to get feedback on what was completed with a product, typically taking several sprints to build and release, marketers have much quicker execution times, which often involve multiple customers and channels. So the Sprint Review may be a moot point for marketing because they likely have several campaigns in flight at any given time.

What marketers do need to focus on, however, is how those campaign assets are performing at any given time. So instead of the traditional Sprint Review, a tweak in marketing would be looking at how campaigns are doing, and using that data to drive conversations.

Scrum roles aren’t apples-to-apples in marketing either. While the idea of a dedicated Scrum Master that doesn’t do work is great, marketing teams are so lean that this seldom happens unless it’s a very large company. 

With my clients, I often create a role called “Agile Champion,” and that’s the person on the team who will champion new ways of working but still does work themselves. This practice seems much easier to implement. The person in that role feels empowered to lead change but doesn’t feel like they have to master a new job altogether.

The role of Product Owner doesn’t always resonate with marketers since they aren’t out there looking at a vision for a new product. However, I’ve often used “Marketing Owner,” which is quite similar. However, a marketing strategist typically fills it, and their role doesn’t change too much, except they become the one person that prioritizes the team’s backlog. 

Blending in Kanban

Most of the time, Kanban alone doesn’t solve the challenges marketers face because there isn’t adequate planning and stakeholder engagement. Nevertheless, a few practices from this framework greatly benefit marketers.

The ones I’ve found most useful to incorporate are: visualizing the work, work item types, measuring cycle time and setting work in progress limits. By visualizing work, teams can understand where work is at any point in time. Work item types (such as a social post or blog) are great for understanding individual efforts and process inefficiencies. Measuring cycle time allows teams to understand how long a work item type takes to complete and streamline the flow. Setting work-in-progress limits helps teams finish the task rather than starting too many tasks at once.

I would build all of these practices into a unique framework just for marketers. Today, we’re telling marketers to figure it out, but would historical experience from agile marketing leaders help take the guesswork out of everything?

Read next: More on agile marketing from Stacey Ackerman

The evolution of agile marketing

In 2021 marketers came together to revamp the Agile Marketing Manifesto during a community event called #sprinttwo. We’ve come a long way in alignment with values and principles as a community, but we don’t have any standard practices.

“Marketing is a unique organizational function, and I’ve never seen two departments built the same. There’s excellent alignment and consistency with agile values and principles as air-cover to guide modern marketing. However, the execution team’s challenge is in mapping and working with methods not designed for the specifics and overall breadth of marketing,” says Michael Seaton, president at Level C Digital and agile marketing coach and trainer.

What do you think — do marketers need their own agile marketing framework?


A marketers glossary to essential agile marketing terms

Many marketers struggle to apply agile marketing in a way that adds value to team members. Learn how to break that pattern in this free e-book, “MarTech’s Guide to agile marketing for teams”.

Click here to download!



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


About The Author

A marketers glossary to essential agile marketing terms

Stacey knows what it’s like to be a marketer, after all, she’s one of the few agile coaches and trainers that got her start there. After graduating from journalism school, she worked as a content writer, strategist, director and adjunct marketing professor. She became passionate about agile as a better way to work in 2012 when she experimented with it for an ad agency client. Since then she has been a scrum master, agile coach and has helped with numerous agile transformations with teams across the globe. Stacey speaks at several agile conferences, has more certs to her name than she can remember and loves to practice agile at home with her family. As a lifelong Minnesotan, she recently relocated to North Carolina where she’s busy learning how to cook grits and say “y’all.”


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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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