How to Automatically Update the Copyright Year in Marketo
(2 Methods)

Do all of your marketing emails, landing pages, and other assets still say “Copyright © 2023” at the bottom?

Keeping your copyright year up to date goes a long way for maintaining brand professionalism and consistency.

But we are well into February now, and plenty of companies still haven’t updated the copyright year to 2024 in their Marketo instance yet.

Or maybe they did, but they had to go through each email and landing page and edit them manually — one at a time.

There must be a better way, right?

We’re going to walk you through 2 different methods to automate this entire process using Marketo tokens.

And there’s no coding experience needed for these. We’ve done our best to break them down into simplified steps that are easy to follow.
 

Method 1:
A Single Token Across All Assets.

This first method is to create a token at the top-level folder in your Marketo instance — allowing it to impact every asset within.

Step 1) Navigate to the left side of your Marketo instance and find the top-level folder that contains all of your programs.

Step 2) In this top-level folder, select the “My Tokens” tab and create a new token by navigating to the right side of the screen and dragging in a “Text” token.

Step 3) Change the Token Name to {{my.Current Year}} and set the Value to 2024. It should look like this when you’re done:

Step 4) If you don’t currently have a token in each of your assets, you’ll need to swap out the hard-coded date (2023 in this case) and add the token there instead – as shown in the screenshots below.
 
Before (hard-coded):

After (token):


 
And that’s it!

While this method is incredibly straightforward, it does come with some drawbacks.

The most glaring issue is that you still need to remember to update the “Year” value of this token every January 1st. This may seem easy enough, but we’ve seen countless organizations (big and small) forget about it for months.

Which brings us to our second (and superior) method.
 

Method 2:
Set It and Forget It.

This is our preferred method, because while it requires a little more upfront work, you will never have to worry about updating your asset copyright year again.

It’s a completely automated, self-updating setup that you can forget about once it’s running.

Step 1) Navigate over to the same top-level folder as Method 1 (the main folder that holds all of your other programs).

Step 2) With the “My Tokens” tab selected, go to the right side of your Marketo instance and drag in an “Email Script” token.

Step 3) Change the Token Name to {{my.Current Year – Email}}.

Step 4) For the Value of the token, press “Click to edit” which will open up a new window titled “Edit Script Token”. Here, paste the following:

$date.get(‘yyyy’)

Then press save. This short script dynamically updates the year based on the server's current date.
 

 

Step 5) Drag in another token from the right side, this time use the one called “Text”.

Step 6) Change this Token Name to {{my.Current Year - LP}}.

Step 7) In the Value section paste the following:

<script>(document.currentScript || document.scripts[document.scripts.length - 1]).outerHTML = new Date().getFullYear();</script>

 
This JavaScript code fetches the current year from the user's computer, ensuring the displayed year is always accurate.

Now you have 2 different tokens set up for each asset type (Emails and Landing Pages) that will automatically update the copyright year.
 

 
pink line
 
While Method 2 does have a few extra steps involved, the entire process should only take five minutes or so.

A worthy tradeoff for never having to remember to update your copyright year again – and keeping the copyright year current reflects well on your brand’s attention to detail!

Below are a few examples of what the end result should look like.

Email example:

Landing Page example:

If you want to explore a more robust setup of the same solution, check out Sanford’s blog post which taught me how to solve this challenge years ago here (Marketo-hosted version here).

His method goes into greater detail, and has an extra setup for dealing with time zone differences over the first day of each year.

We hope this was helpful!

And if your team needs assistance with more complex projects, we’re happy to chat when you’re ready.

Do you believe in AI?

Do you find yourself questioning the value of AI?

You’re definitely not alone.

If you aren’t excited about AI today, you haven’t yet encountered a use case that is meaningful to you.

There’s a good chance you’ll shift to a believer at some point this year.

Here are three charts that tell a story of where we are today and where we’re going in 2024.
 

The Gartner Hype Cycle

The Gartner Hype Cycle presents the typical journey a new innovation takes to reach acceptance and adoption.

An innovation is released. Expectations are inflated. People naturally become skeptical and become disillusioned with the idea.

We have seen this time and time again with AI: “AI is going to change the world!” “AI is going to take our jobs!”

The truth is, change doesn’t happen overnight. And to the individual, it’s not clear that it will ever meet the hype. So skepticism remains.

Think about flip phones, blackberries, and then iPhones. That transformation didn’t happen in a year. It took some time. Microsoft was so confident about the Windows Phone 7 that they staged a mock funeral for the iPhone in 2010..

In 2024, I think we will start to see a shift. As demonstrable benefits increase, the individual or organization climbs up the slope of enlightenment. They see the technology for what it’s truly worth to them. These days, it’s pretty hard to argue that the iPhone form factor has not impacted mobile telephony.

If you’re not seeing AI as a game changer, then there isn’t a use case that has impressed you yet.

If the AI advocates are true and improvements come exponentially, then this year we should start to see a rapid climb up the slope of enlightenment.

This means more and more use cases with demonstrable benefits are on the horizon.
 

AI Adoption Model

Enter chart number two, the AI Adoption Model. This chart was something that Liza Adams and I discussed last summer as a spin off of a LinkedIn post she had made.

This chart demonstrates a risk/benefit tradeoff that will serve as an impediment to adoption in the short term.

Changing the status quo when the risks, or perception of risks, outweigh the benefits is a difficult choice for organizations to contend with.

What if you started making decisions for your organization based on GPT 3.5? Or made a massive investment in a product, just to have a new Custom GPT make it irrelevant?

With the clarity of hindsight, we can see that many of these bad decisions were made. Although it’s somewhat arguable that these risks were predictable even a year ago.

So as new innovations are released and the use case benefits become clear to the organization, changing the status quo and adopting new tools and processes becomes a much easier decision.

Risks like using proprietary data in training models have been seen as a major hurdle. New offerings, however, are addressing these issues head-on. For example, this is front and center in the new “Teams” option for ChatGPT.

In the end, there really isn’t a choice at all.

AI adoption will actively or passively take place. Passive adoption will happen because AI will be baked into existing tools that organizations have already adopted.
 

Use Case and Impact

This final chart was presented by Scott Brinker at a conference I attended last November.

This is another look at the evolution of AI. While Scott included “AI + No Code Tools” in this image, it could just as easily be labeled “AI” instead.

This chart shows that current AI tools have had a low impact on the organization. Things like writing emails, summarizing meetings, creating digital art for social – these aren’t transforming organizations overnight.

But the growth curve is steep, if not exponential. Have you ever seen the original DALL·E image creation? It was abstract if we’re being generous.

However, if we believe that improvements will continue – possibly exponentially – then we’ll eventually have tools that have a medium-level impact on the organization. This could be an AI agent that performs tasks that double the output of an employee, for example.

If you’ve seen some of the text-to-video generation tools, you’ll know that they’re going to transform the creative space. Kanye West just released a music video that is all AI generated.

Change is starting.

pink line

History has shown us that with every major innovation, some organizations (and individuals) adapt and some organizations don’t. I used to go to Blockbuster every weekend. I used to have a portable Toshiba CD player with headphones that didn’t skip!

AI is going to bring about changes at a rate we haven’t experienced before.

And if you’re not yet convinced, it’s because you haven’t seen a use case that is meaningful to you.

I’ll bet you a coffee that sometime in 2024 you’ll see something that changes your mind.