Connect with us

MARKETING

It’s time for CMOs to talk business

Published

on

Getting back to basics: Marketing ROI

I recently celebrated my four-year anniversary as Chief Marketing Officer at the global digital consultancy Publicis Sapient.  According to many surveys, this milestone means I’m on borrowed time – and have been for some time.  Median tenure for CMOs at America’s 100 most advertised brands is just 25.5 months — the lowest since 2009, and far below the 80-month tenure for CEOs. 

While some question whether these statistics paint the real or full story, these numbers should serve as motivation for CMOs to make some long-needed changes and take charge of their rapidly evolving role.

The reasons that CMOs have short tenures have been explored in depth in recent years and I don’t want to belabor the point.  In my view, most CMOs don’t embrace a business mindset.  They need to act as “business leaders” first and “chief marketers” second.  

Serve the clients, not the organization

An important step for CMOs today is to make sure expectations align with what the job entails. The marketing role is not designed to support but to lead.  Too often organizations misunderstand marketing’s responsibilities.  The scope of the CMO position shouldn’t be limited mostly to marketing communications, such as advertising, PR and social media.  Rather, CMOs need to educate internal stakeholders, especially the CEO, on the role marketing can play in leading business strategy. 

Reframing the CMO role from “marketing” to “business” means taking accountability and ownership of driving the business rather than supporting it.  CMOs build the business — they don’t just market it.  Working collaboratively across the enterprise, marketers influence decision making and business strategy by merging clients’ insights with data and market expertise to fuel growth.   

This education about the CMO role is important in managing expectations that marketing can solve deep organizational challenges.  Too often, CMOs are expected to quickly improve various aspects of the business, from sales to communications, even though in many cases these issues require systemic organizational and cultural change outside the scope of marketing. Or, as sometimes happens, the CMO does not have the mandate to actually oversee the processes, like sales or solutions, that may be used to determine his or her ultimate success.  When CMOs join organizations with big aspirations and goals, the company culture needs to allow for their ambitions to flourish so that they’re not blamed for poor company performance.  

Ideally, reframing the role should start at the job interview or recruitment process, with prospective CMOs ensuring that their job descriptions include how their impact will be measured.  This underscores the importance of setting expectations from the outset.  It’s often missing from job descriptions, leading to a lack of clarity for how to measure a CMO’s performance.  For example, a seminal Harvard Business Review study found that only 22% of CMO job descriptions include such metrics.  CMOs should incorporate this language, request specific metrics during performance reviews and begin to forge a new and clearer path.

Read next: Only 11% of CMOs say they have achieved digital transformation goals

Market your marketing — with data

Organizations often see marketing as a cost center rather than as an engine of growth. This misconception results in CMOs not having the authority to drive business decisions.  For example, one study found that only 5.5% of 600 surveyed executives said it was the CMO who approved investments in digital engagement technologies in their organizations.  In more than 25% of cases, it was the CEO, CFO or CTO.  It defies logic that the CMO, who is tasked with understanding the market, is not overseeing spending decisions on technology to reach customers.

CMOs can change this way of thinking by showing data and insights for how marketing directly drives business.  Successful marketing organizations build data analytics teams to ensure that they’re not only using data to inform marketing decisions, but also tracking and collecting data on outcomes and results.  It’s critical to have a firm numerically based understanding for how marketing expenditure and activities affect the company’s bottom line. The data allows marketers to speak the language of the CEO and demonstrate pipeline, revenue and impact on the company.  Making this shift is essential as a recent Boathouse study found that 58% of CEOs believe that CMOs speak their own language versus the language of the business.  

Drive growth around the three “Rs”

Marketing’s purpose is to drive growth around what I call the three “Rs:”

  • Reputation: growth for the brand.
  • Relationships: growth for clients.
  • Revenue: growth for the business.

Ideally, CMOs can take market data and use it not just to market current products and services more efficiently, but to inform and inspire the development of new ones.  Data can also be used to track the buyer journey, which is helpful not just to make sure products reach potential customers, but to identify new opportunities. This can turn CMOs into growth drivers. In addition, in this capacity CMOs can bring an innovative mindset, and set an agenda for new products and new opportunities, all rooted in data and their expert knowledge of the market.  

Collecting and analyzing data also makes marketing invaluable to other parts of the enterprise, including sales and product development.  It’s a way for the CMO to further align and work more closely with other top executives, including not just the CEO and CFO, but also the CTO, CISO and Chief Purpose Officer — three roles that are growing in impact across businesses. 

These steps will go a long way toward increasing trust in CMOs, which is desperately needed. Seventy percent of CEOs in the Boathouse study said their CMOs think foremost about themselves and would do whatever it takes to protect themselves rather than their CEO.  In addition to gaining more trust, by adopting a business mindset and embracing data, the CMO can be at the forefront of an organization’s growth — and digital transformation.


Get the daily newsletter digital marketers rely on.



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


About The Author

Theresa Barreira is CMO at Publicis Sapient. She was named one of the Top 25 Women Leaders in IT Services of 2020 by the IT Services Report, and a 2019 recipient of the Silver Stevie Award for Female Executive of the Year.

She is a proud Hispanic and native of Portugal who is focused on advancing DE&I in leadership and at all levels of the workplace. She’s lived and worked in the US, Canada, and Europe, and spent most of her career leading teams and companies through transformation, launching new brands or lines of business, and cultivating a culture of experimentation and learning.

She is former CMO of Deloitte Consulting and has held leadership positions at IBM and Accenture.

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address

MARKETING

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

Published

on

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!

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

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

Published

on

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

Amazon pillows.

(more…)

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

MARKETING

A deeper dive into data, personalization and Copilots

Published

on

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.”

Source link

Keep an eye on what we are doing
Be the first to get latest updates and exclusive content straight to your email inbox.
We promise not to spam you. You can unsubscribe at any time.
Invalid email address
Continue Reading

Trending