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What marketers need to know to prepare for 2023

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What marketers need to know to prepare for 2023

Well, friends, it’s that time of year again. If you’re a retailer, I hope you’re hanging in there, all your campaigns are going according to plan, and the screaming-down-the-hall moments are few and far between.

This also is the season when anyone with a blog, a column or a webinar will start predicting what will happen in marketing in 2023. I’m not immune to that, but I’m also honest enough to admit nobody really has a clue right now. 

There’s so much we don’t know about what will happen in the next 12 months. One thing is for sure: We definitely can look forward to many twists and turns in the online space and the real world — again. 

So, instead of predicting, I’m going to look at what marketers should remember as they plan for 2023. I hope my insights will give you some direction, help you set some goals and put you in the right frame of mind in the next five minutes before somebody comes down the hall to request another Black Friday email campaign.

A global recession is coming

No matter what American politicians say, a recession isn’t just a U.S. concern. It’s happening everywhere. It poses another challenge for email. But email can rise to meet it, just as it emerged as a winner in the COVID-19 pandemic. 

I’m a big believer in staying informed whether it means reading marketing, economic and political news or keeping an eye on the five screens in my office, each of which streams different information. So I’ve been on top of news stories reporting that some companies are already pulling back some ad spend. Others are investing in processes now to get ahead should we hit recessionary headwinds. 

Because email proved its value in the pandemic, I don’t expect email budgets will get eviscerated to fund other channels. But we’ll test the concept that email is still recession-proof. 

That doesn’t mean email will emerge unscathed. But we email marketers should get ready for a different kind of challenge. Companies could go back to their pandemic tactics, in which they invested in email to keep customers informed and build authentic relationships. Or they could revert to their business practices in the 2008 recession and just discount everything in a mission to save revenue targets.

We’re dealing with a lot of uncertainty right now. We could be in a recession that in some parts of the world doesn’t even look like a recession because of high job growth, even with a higher-than-normal inflation rate.

So now we have to look at how email can live up to its recession-proof reputation. Our twin challenges will be the evolving state of the global economy and how we can adapt email to survive. 

The email channel itself will survive. What remains to be seen is whether we can retain the primacy email has gained.

Dig deeper: 5 email marketing lessons learned in the pandemic

Segmentation will help increase revenue from inflation-weary customers

Consumers pulled back on spending during the pandemic. Now, inflation is driving similar cutbacks. Reduced consumer spending puts even greater pressure on email marketers to perform.

Retailers are responding to their bargain-hunting customers by launching holiday campaigns even earlier this year. I saw many campaigns in early October that I would normally expect to see closer to November. 

Consumer spending predictions are all over the board this year, too. The most optimistic say holiday spending will rise 4% to 6% over 2021, while others expect consumers will either hold the line or spend less. 

I expect retailers will pull the usual levers to capture more holiday spending — heavier discounting, higher email frequency or some other tactics. But instead of pulling on those levers indiscriminately, marketers should rethink and revise their list segmentation to keep revenue flowing reliably. 

Segmentation represents an untapped market across the board for motivating and incentivizing consumers to spend their money with you instead of your competitors.

Segmentation comes into play with the customer data platforms (CDPs) and advanced analytical tools. Email marketers can use these tools to fight both recession-driven budget cutbacks and reduced consumer spending.

Use what you learn about your customers — what works and what doesn’t — to support requests for resources to support segmentation and win higher priority in the marketing tech stack. 

Although marketers worldwide might encounter a global recession in 2023, lower consumer spending could finally force us to become smarter marketers, not just “more” marketers.


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The pressure will be on CDPs to prove value

Customer data platforms, or CDPs, have been around for a while, but they’re just now moving into the reach of middle-level brands and full implementation at the enterprise level. But we still don’t know whether they’re the savior for data-driving marketing or the latest shiny object.

In 2023, I expect we’ll see the proof point for CDPs and whether we as email marketers can use them to transform our email campaigns into messages that elevate the customer conversation. 

Vendors have sold CDPs as the gateway to customer intent, purchase propensity and data orchestration. Next year, we will see whether CDPs bridge the gaps between data lakes and CRMs, resulting in more intelligent marketing and boosting messaging automation, targeting and personalization.

But this move also could end up shifting priorities away from email. Historically, email has been stuck at the far end of the investment dinner table, waiting to see what’s left on the platter when it finally reaches us. 

We might learn that CDPs do give us easier access to data for segmentation and personalization. Or we could find out that the money companies spend on installing them is wasted without the data, technical structure or know-how to manage them.

Dig deeper: How to manage email addresses in a customer data platform

Martech stacks will get a lot more scrutiny

This year, my agency was insanely busy working with both long-term and new clients on their tech stacks. Not just their email platforms, but all of their adjacent and connected systems.

Many of these clients were unhappy with their technology and asked us to find new vendors or move to new ones. 

We all know how the pandemic accelerated digital transformation. Your tech stack might be a casualty if it hasn’t kept up with the changes. I heard clients say, “We aren’t agile enough.” 

Or, “This platform doesn’t help make us smarter.” 

Even, “This platform isn’t complex enough for all of our needs now.”

Some companies outgrew their systems, too. The pandemic forced them to react faster and communicate better with customers, employees and stakeholders and forced many to push their systems beyond their limits. 

Today, many of our clients want technology that’s better, faster, more complex and more capable to meet their needs because they have evolved and need support that can meet them where they are now.

I expect more companies will examine whether they have the right technology and look to see what else is out here and what they can get to meet their new demands.

As part of this re-examination, we also will see companies using more of the technology they’re already paying for.

Maybe you saw Gartner’s study that found companies use only an average of 42% of their tech stack capabilities, a figure that’s actually down from a slightly less dismal 58% in 2020. 

When I worked at Responsys, we found platform usage was actually closer to 10%. Back then (I’m older — “then” was 2007), marketers didn’t know how to use all the advanced features, many of which are standard equipment today.

If you’re dissatisfied with your tech stack, figure out whether it truly doesn’t meet your needs anymore or you just haven’t used all of its capabilities.

Before you start looking for new tech providers, go to your vendors and ask them to show you their latest demos. They’ll be happy to do it. Challenge your providers to show you what you should be using but aren’t yet. You’ll understand your tech capabilities and limits much better.

Dig deeper: The secret to building a useful martech stack

Looking to the future

As usual, I could be full of crap. Not about asking your vendors to audit your tech use — that’s always good advice — but for everything else, it’s what I’m seeing in my work, in the news and in talking with other marketers. 

Plus, I’ve been through a recession, COVID, the birth and evolution of the internet, the Amazon wave, consolidation in the email space and so much more. That also informs my views about what will happen. 

My focus is always on marketers and what they need to think about when planning for the coming year. 

So let’s get back to it and knock out the rest of our 2022 plans. Don’t forget to celebrate with your team, whether by taking them out for drinks and dinner or supporting your remote staffers. 

Tune in next month for my annual December motivation and year-end reviews!


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



About The Author

Ryan Phelan

As the co-founder of RPEOrigin.com, Ryan Phelan’s two decades of global marketing leadership has resulted in innovative strategies for high-growth SaaS and Fortune 250 companies. His experience and history in digital marketing have shaped his perspective on creating innovative orchestrations of data, technology and customer activation for Adestra, Acxiom, Responsys, Sears & Kmart, BlueHornet and infoUSA. Working with peers to advance digital marketing and mentoring young marketers and entrepreneurs are two of Ryan’s passions. Ryan is the Chairman Emeritus of the Email Experience Council Advisory Board and a member of numerous business community groups. He is also an in-demand keynote speaker and thought leader on digital marketing.

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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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