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Lapsed customers aren’t the same as unengaged subscribers

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I’m a little irritated right now.

A brand sent me an email with this subject line: “Do you still want to hear from us?” I see emails like this one all the time, but this one really irked me. I buy from that brand a few times a year, and I consider myself to be a loyal customer. I don’t open every email it sends me every day because I’m not in the market every day. When I’m ready to buy, I might click through from an email (because it came along at the precise moment I was ready to buy), or I might even bypass the email when I see it in my inbox and go right to the site.

Either way, this reengagement email indicates the brand doesn’t recognize me as a regular-but-infrequent buyer. It treats me the same as people who don’t open or click on emails and need to be persuaded to engage. This scenario is the opposite of the “right message” mantra we’re all trying to achieve, and it can be enough to drive customers like me away. We aren’t the same – why are we being treated as if we were?

If your reactivation program doesn’t give you the results you want – more revenue, more
purchasing, more email opens and clicks – you might conclude reactivation programs just don’t
work.

No. Your reactivation program isn’t working because you’re going about it wrong. You are
treating all of your lapsing customer and subscriber ghosts the same, no matter why they
appear to have drifted away.

Get the terminology right: Lapsing/lapsed versus unengaged

Marketers run into trouble when they treat lapsed or lapsing customers like email subscribers who don’t appear to open or act on emails. These are two different segments of your audience. Although they can overlap, they still have different motivations and characteristics.

Lapsed or lapsing customers are email subscribers who either haven’t bought or otherwise converted in your regular buying cycle/s or are getting close to the end of that cycle. If you sell unique, higher-price products (furniture, luxury bedding, fine jewelry), your buying cycle will likely be longer than a brand that sells consumables like cosmetics, household cleaners, meal kits or diapers. Ditto if your brand’s products are tied to seasonal events like holidays that appeal to once-a-year buyers.

Unengaged subscribers are those who no longer open your emails. Or, depending on your definition of unengaged, they might open messages but not click on them. Now, to make things even more complicated…

Lapsed/lapsing customers might also be unengaged subscribers. These are your true ghosters. They have left the building to go to another brand. Or they don’t need your products anymore but haven’t unsubscribed from your emails.

However, seemingly unengaged subscribers might actually be shopping on your site. Just seeing your emails appear in the inbox might be all the incentive they need to go directly to your site without opening the message first.

This is email’s famous “nudge effect.” It’s one reason why a memorable and informative subject line is so important.

When you compare these two audience segments side by side, you can see why you need to address each one separately – why a single reactivation campaign can flop if it sends the wrong message.

Often, the problem is a data failure because your email platform doesn’t integrate with your e-commerce or CRM systems and is missing those crucial pieces. You might also rely too much on open rates to measure engagement. That’s a failure, too, because opens have always been an unreliable measure, and Apple’s Mail Privacy Protection further muddies the waters.

Furthermore, the email industry itself is failing marketers because many articles and commentaries treat reactivation and reengagement as if they were interchangeable terms for the same challenge.

I’m calling on the email industry as a whole to create a distinct naming convention for reactivation and reengagement and clearly identify exactly which audience they’re targeting when discussing or writing about it.

What could go wrong?

Plenty! Here are a few dangers of sending the wrong message:

1. Confusing customers

This was my reaction to receiving the “We miss you” email. I might appear unengaged on email, but I did buy something relatively recently. So I’m confused and annoyed that the email didn’t recognize my purchase and the brand considers me inactive.

Humans long to be recognized as individuals, whether it’s a shopkeeper greeting them by name or an email message that reflects their preferences, behavior or purchases. Your customers expect your brand to use their data to personalise and tailor messages that reflect the data.

2. Unnecessary incentives

Every incentive, like a free product, an upgrade or a discount, cuts into your product margin. I’ll wager yours are razor-thin right now.

Is a discount really the best way to bring back a lapsed customer, or could something else make your brand appealing again? Will the incentive that encourages more customers to buy also nudge more disengaged subscribers to open your messages?

3. Inaccurate activity measurements

These can lead you to make ill-advised decisions that damage your email program’s viability. For example, you might send a reactivation program to any subscriber who hasn’t opened or clicked on an email for three months. A substantial number of people could ignore that email if they aren’t in the market just then.

When you analyze your metrics for those reactivation emails, you’ll see a big zero for opens and clicks from these subscribers. So, you’ll assume, incorrectly, that they aren’t interested and take them off your active list. But if they don’t see your emails, because their priorities do not align with yours at that moment in time, how can they convert from them?

Read next: Why we care about email marketing: A marketer’s guide

How to fix the problem: Create objective-led email programs

I suggest we email marketers change the way we think and talk about reactivation. Let’s make our
objectives lead the way in naming and designing these email programs.

1. Create a reengagement program

This is for email subscribers whose email activity has fallen off the radar based on what you know from their open and click behavior. The objective is to persuade customers to start opening and clicking on emails again. Exclude any customers who have purchase data within the chosen period. Think about why these customers aren’t acting on your emails. Start with your inbox – maybe you need a friendlier “from” name in the sender field or a more interesting and informative subject.

That’s the first step. Next, retool your content to encourage more clicking. Use what you know about your customers to create content that will be more likely to push these subscribers to open and click. Review your emails and identify whether you’re addressing all four buyer personalities, as this is often a contributing reason why a subscriber doesn’t act on your emails.

I’m not talking about buyer personas here. Rather, you should know whether your customers are more likely to pore over product data before they’ll click, buy on impulse or respond to emotional triggers more than discounts or product features.

One last consideration: If you don’t have customer behavior like browsing, purchases or conversions to inform, resist the urge to simply unsubscribe your nonresponders. Opens and clicks give you only a small piece of the engagement story, and that’s not enough to guide this permanent decision.

Consider creating a new segment of these seemingly unengaged subscribers and testing
content that explains the benefits of engaging or suggests other means of staying in touch.

2. Create a reactivation program

This is for subscribers who have purchase history but are either on the verge of lapsing or have
already lapsed according to your buying cycle. The objective is to bring back these customers to
buy.

Hence, they need good reasons to buy from you now instead of waiting. It’s not enough to say
“We miss you.” What they’ll hear is “We miss having you spend your money with us.”

Instead, show them what they’re missing and what you can offer that other brands don’t:
● Store redesigns or new locations and hours.
● New services like personal shoppers, curbside pickup, extended hours or services.
● New brands or product lines.
● Improved customer service or return policies.
● New ways to pay such as “buy now, pay later” or alternate methods like PayPal, Venmo
or bitcoin.


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Next steps

Think deeply about your objectives for your lapsed/lapsing customers and your unengaged
subscribers. Use those objectives to guide your planning and execution for separate email
programs to help you achieve those objectives. Name each program according to the objective
to cement the decision-making process.

A reactivation program aims to bring back your customers who have stopped purchasing from
you. A reengagement program reaches out to subscribers who no longer act on your emails.
Each program will have its own creative direction. When you view them in this manner, you’ll
see right away why a one-size-fits-all plan just won’t work.


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


About The Author

7 common problems that derail ABn email testing success
Kath Pay is CEO at Holistic Email Marketing and the author of the award-winning Amazon #1 best-seller “Holistic Email Marketing: A practical philosophy to revolutionise your business and delight your customers.”

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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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