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The power of program management in martech

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The power of program management in martech

As a supporter of the program perspective for initiatives, I recognize the value of managing related projects, products and activities as a unified entity. 

While one-off projects have their place, they often involve numerous moving parts and in my experience, using a project-based approach can lead to crucial elements being overlooked. This is particularly true when building a martech stack or developing content, for example, where a program-based approach can ensure that all aspects are considered and properly integrated. 

For many CMOs and marketing organizations, programs are becoming powerful tools for aligning diverse initiatives and driving strategic objectives. Let’s explore the essential role of programs in product management, project management and marketing operations, bridging technical details with business priorities. 

Programs in product management

Product management is a fascinating domain where programs operate as a strategic framework, coordinating related products or product lines to meet specific business objectives.

Product managers are responsible for defining a product or product line’s strategy, roadmap and features. They work closely with program managers, who ensure alignment with market demands, customer needs and the company’s overall vision by managing offerings at a program level. 

Program managers optimize the product portfolio, make strategic decisions about resource allocation and ensure that each product contributes to the program’s goals. One key aspect of program management in product management is identifying synergies between products. 

Program managers can drive innovation and efficiency across the portfolio by leveraging shared technologies, customer insights, or market trends. This approach enables organizations to respond quickly to changing market conditions, seize emerging opportunities and maintain a competitive advantage. Product managers, in turn, use these insights to shape the direction of individual products.

Moreover, programs in product management facilitate cross-functional collaboration and knowledge sharing. Program managers foster a holistic understanding of customer needs and market dynamics by bringing together teams from various departments, such as engineering, marketing and sales.

Product managers also play a crucial role in this collaborative approach, ensuring that all stakeholders work towards common goals, ultimately leading to more successful product launches and enhanced customer satisfaction.

Dig deeper: Understanding different product roles in marketing technology acquisition

Programs in project management

In project management, programs provide a structured approach for managing related projects as a unified entity, supporting broader strategic objectives. Project managers are responsible for planning, executing and closing individual projects within a program. They focus on specific deliverables, timelines and budgets. 

On the other hand, program managers oversee these projects’ coordination, dependencies and outcomes, ensuring they collectively deliver the desired benefits and align with the organization’s strategic goals.

A typical example of a program in project management is a martech stack optimization initiative. Such a program may involve integrating marketing technology tools and platforms, implementing customer data management systems and training employees on the updated technologies. Project managers would be responsible for the day-to-day management of each project. 

In contrast, the program manager ensures a cohesive approach, minimizes disruptions and realizes the full potential of the martech investments to improve marketing efficiency, personalization and ROI.

The benefits of program management in project management are numerous. Program managers help organizations prioritize initiatives that deliver the greatest value by aligning projects with strategic objectives. They also identify and mitigate risks that span multiple projects, ensuring that issues in one area don’t derail the entire program. Project managers, in turn, benefit from this oversight and guidance, as they can focus on successfully executing their projects.

Additionally, program management enables efficient resource allocation, as skills and expertise can be shared across projects, reducing duplication of effort and maximizing value. Project managers can leverage these resources and collaborate with other project teams to achieve their objectives more effectively.

Dig deeper: Combining martech projects: 5 questions to ask

Programs in marketing operations

In marketing operations, programs play a vital role in integrating and managing various marketing activities to achieve overarching goals. Marketing programs encompass multiple initiatives, such as advertising, content marketing, social media and event planning. Organizations ensure consistent messaging, strategic alignment, and measurable results by managing these activities as a cohesive program.

In marketing operations, various roles, such as MOps managers, campaign managers, content managers, digital marketing managers and analytics managers, collaborate to develop and execute comprehensive marketing plans that support the organization’s business objectives. 

These professionals work closely with cross-functional teams, including creative, analytics and sales, to ensure that all marketing efforts are coordinated and optimized for maximum impact. This involves setting clear goals, defining key performance indicators (KPIs) and continuously monitoring and adjusting strategies based on data-driven insights.

One of the primary benefits of a programmatic approach in marketing operations is maintaining a consistent brand voice and message across all channels. By establishing guidelines and standards for content creation, visual design and customer interactions, marketing teams ensure that the brand’s identity remains cohesive and recognizable. This consistency builds customer trust, reinforces brand loyalty and drives business growth.

Programs in marketing operations enable organizations to take a holistic approach to customer engagement. By analyzing customer data and feedback across various touchpoints, marketing professionals can identify opportunities for improvement and develop targeted strategies to enhance the customer experience. This customer-centric approach leads to increased satisfaction, higher retention rates and more effective marketing investments.

Dig deeper: Mastering the art of goal setting in marketing operations

Embracing the power of programs for long-term success

We’ve explored how programs enable marketing organizations to drive strategic success and create lasting impact by aligning diverse initiatives across product management, project management and marketing operations. 

  • Product management programs facilitate cross-functional collaboration and ensure alignment with market demands. 
  • In project management, they provide a structured approach for managing related projects and mitigating risks. 
  • In marketing operations, programs enable consistent messaging and a customer-centric approach to engagement.

Program managers play a vital role in maintaining strategic alignment, continuously assessing progress and adapting to changes in the business environment. Keeping programs aligned with long-term objectives maximizes ROI and drives sustainable growth.

Organizations that invest in developing strong program management capabilities will be better positioned to optimize resources, foster innovation and achieve their long-term goals.



As a CMO or marketing leader, it is important to recognize the strategic value of programs and champion their adoption across your organization. By aligning efforts across various domains, you can unlock the full potential of your initiatives and drive meaningful results. Try it, you’ll like it.

Fuel for your marketing strategy.

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

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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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