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How marketers embrace agile ways of working

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How marketers embrace agile ways of working

The following is a selection from the e-book “MarTech’s agile marketing for leaders.” Please click the button below to download the full e-book.

It’s important to say “no” to work that’s not valuable. Through planning, the team should have a good sense of what the business priorities are and what they’re trying to achieve. Therefore, when pet projects come in that aren’t aligned with those goals, the team needs to be empowered to push back. The same goes for planned deliverables that don’t perform well with customers or prospects. The team becomes expert at understanding what is working and what isn’t, so listening to them is an important aspect of creating an agile culture.

If you’re used to asking for work from the team, think about how you’ll feel if they push back? Can you accept those responses? What kind of data or information would you like to see to feel comfortable that they are justified in saying no?

Read next: A new way of marketing planning: At the last responsible moment

This will take a lot of trust on your part, so if trust isn’t there today, think about what steps you need them to take to gain your trust. Then communicate this trust directly to them.

At the end of the day, an agile team is responsible for delivering value to customers, not to internal stakeholders. They must be able to field any requests, but in the end be empowered to do the right thing for the external marketplace.

Consultants, not order takers

Traditionally, marketers have been focused on output. Work requests come in and then they are delivered upon. Most of the time there is a big separation between those asking for the work and those delivering the work.

In agile marketing, this needs to be a collaborative way of working. To begin with, business leaders need to lead with their desired outcome, not what piece of collateral they need.

The team should have the creative liberty of figuring out what work is needed to achieve that outcome and experimenting with different mediums should be part of the process, not just fulfilling predictable and static orders.

Your marketers are really smart, creative people and will be much happier in their role if they don’t just design content or write copy, but are truly part of the consultative process. Figuring out what’s needed is really valuable, so make sure to give that ownership to the agile team.


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Being transparent

When you start agile marketing, you’ll really notice how transparent the process can be. Everyone on the team knows what others are working on, and anyone else should be able easily to look at whatever marketing work management platform you are using and see in real-time what’s happening. The backlogs and roadmaps are collaborative too, so work is much more out there in the open.

However, with this newfound transparency, you may also find that some existing problems are finally bubbling up to the surface. It may be easy to blame agile for causing these problems, but agile merely exposes them.

Read next: 7 leadership behaviors for marketing agility

A company that I worked with that was just starting agile marketing was shocked to learn that they had already committed to five years worth of work to their business stakeholders! It wasn’t agile marketing that did that — it was already there all along, but when they put their work into a single marketing backlog and estimated the effort, this suddenly became an obvious problem. That left them with a choice to make — hire more people or decide what work they weren’t going to do.

Focused efforts

One of the beautiful things about an agile marketing team is that people can make a more focused effort. The team should have a focus for their work, such as a single product, a part of the customer journey or a business value stream.

While getting the team to have a focus is fairly easy, limiting staffers to working with only one (maybe two at the most) project teams can be a bigger challenge. The reason this becomes a challenge is people are traditionally hired for a very narrow skill set, and if the designer is the only one that can design, you end up either needing one for every team member or, if you don’t have enough, splitting that person across many teams.

You can resolve that problem by making team members work more as generalists than specialists (they won’t be experts at everything, but will be allowed to go beyond their HR title) — or by beefing up your staff. But neither of those ideas are great for agile marketing. The truth is, the more focused people can be on a team, the better results of agile marketing you’ll see.

Beyond dedicated team members, you need to think about how many campaigns or projects the team is working on at the same time, because there is a really big cost to context switching.

When I go to write an ebook like this, I need at least an hour of uninterrupted time. If I could have the whole day, that would be even better — my thoughts freely flow onto paper and I get into the writing groove. However, that really never happens, so every time I stop and start again I have to reread what I already wrote and remember what I was going to say next. That inherently makes for a much slower process than if I can fully focus for extended periods.

As you can see by the chart below, someone working on five projects at a time (which let’s face it, is really a low number in the marketing world), loses 75% of their time by jumping around from task to task. My husband was recently working on more than 10 different client projects and his head nearly exploded!

How marketers embrace agile ways of working
Effects of context switching on project time and productivity.

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


About The Author

Why leading an agile marketing organization requires a vision for

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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