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5 Psychological Tactics to Write Better Emails

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5 Psychological Tactics to Write Better Emails

Welcome to Creator Columns, where we bring expert HubSpot Creator voices to the Blogs that inspire and help you grow better.

I’ve tested 100s of psychological tactics on my email subscribers. In this blog, I reveal the five tactics that actually work.

You’ll learn about the email tactic that got one marketer a job at the White House.

You’ll learn how I doubled my 5 star reviews with one email, and why one strange email from Barack Obama broke all records for donations.

→ Download Now: The Beginner's Guide to Email Marketing [Free Ebook]

5 Psychological Tactics to Write Better Emails

Imagine writing an email that’s so effective it lands you a job at the White House.

Well, that’s what happened to Maya Shankar, a PhD cognitive neuroscientist. In 2014, the Department of Veterans Affairs asked her to help increase signups in their veteran benefit scheme.

Maya had a plan. She was well aware of a cognitive bias that affects us all—the endowment effect. This bias suggests that people value items higher if they own them. So, she changed the subject line in the Veterans’ enrollment email.

Previously it read:

  • Veterans, you’re eligible for the benefit program. Sign up today.

She tweaked one word, changing it to:

  • Veterans, you’ve earned the benefits program. Sign up today.

This tiny tweak had a big impact. The amount of veterans enrolling in the program went up by 9%. And Maya landed a job working at the White House

Boost participation email graphic

Inspired by these psychological tweaks to emails, I started to run my own tests.

Alongside my podcast Nudge, I’ve run 100s of email tests on my 1,000s of newsletter subscribers.

Here are the five best tactics I’ve uncovered.

1. Show readers what they’re missing.

Nobel prize winning behavioral scientists Daniel Kahneman and Amos Tversky uncovered a principle called loss aversion.

Loss aversion means that losses feel more painful than equivalent gains. In real-world terms, losing $10 feels worse than how gaining $10 feels good. And I wondered if this simple nudge could help increase the number of my podcast listeners.

For my test, I tweaked the subject line of the email announcing an episode. The control read:

“Listen to this one”

In the loss aversion variant it read:

“Don’t miss this one”

It is very subtle loss aversion. Rather than asking someone to listen, I’m saying they shouldn’t miss out. And it worked. It increased the open rate by 13.3% and the click rate by 12.5%. Plus, it was a small change that cost me nothing at all.

Growth mindset email analytics

2. People follow the crowd.

In general, humans like to follow the masses. When picking a dish, we’ll often opt for the most popular. When choosing a movie to watch, we tend to pick the box office hit. It’s a well-known psychological bias called social proof.

I’ve always wondered if it works for emails. So, I set up an A/B experiment with two subject lines. Both promoted my show, but one contained social proof.

The control read: New Nudge: Why Brands Should Flaunt Their Flaws

The social proof variant read: New Nudge: Why Brands Should Flaunt Their Flaws (100,000 Downloads)

I hoped that by highlighting the episode’s high number of downloads, I’d encourage more people to listen. Fortunately, it worked.

The open rate went from 22% to 28% for the social proof version, and the click rate, (the number of people actually listening to the episode), doubled.

3. Praise loyal subscribers.

The consistency principle suggests that people are likely to stick to behaviours they’ve previously taken. A retired taxi driver won’t swap his car for a bike. A hairdresser won’t change to a cheap shampoo. We like to stay consistent with our past behaviors.

I decided to test this in an email.

For my test, I attempted to encourage my subscribers to leave a review for my podcast. I sent emails to 400 subscribers who had been following the show for a year.

The control read: “Could you leave a review for Nudge?”

The consistency variant read: “You’ve been following Nudge for 12 months, could you leave a review?”

My hypothesis was simple. If I remind people that they’ve consistently supported the show they’ll be more likely to leave a review.

It worked.

The open rate on the consistency version of the email was 7% higher.

But more importantly, the click rate, (the number of people who actually left a review), was almost 2x higher for the consistency version. Merely telling people they’d been a fan for a while doubled my reviews.

4. Showcase scarcity.

We prefer scarce resources. Taylor Swift gigs sell out in seconds not just because she’s popular, but because her tickets are hard to come by.

Swifties aren’t the first to experience this. Back in 1975, three researchers proved how powerful scarcity is. For the study, the researchers occupied a cafe. On alternating weeks they’d make one small change in the cafe.

On some weeks they’d ensure the cookie jar was full.

On other weeks they’d ensure the cookie jar only contained two cookies (never more or less).

In other words, sometimes the cookies looked abundantly available. Sometimes they looked like they were almost out.

This changed behaviour. Customers who saw the two cookie jar bought 43% more cookies than those who saw the full jar.

It sounds too good to be true, so I tested it for myself.

I sent an email to 260 subscribers offering free access to my Science of Marketing course for one day only.

In the control, the subject line read: “Free access to the Science of Marketing course”

For the scarcity variant it read: “Only Today: Get free access to the Science of Marketing Course | Only one enrol per person.”

130 people received the first email, 130 received the second. And the result was almost as good as the cookie finding. The scarcity version had a 15.1% higher open rate.

Email A/B test results

5. Spark curiosity.

All of the email tips I’ve shared have only been tested on my relatively small audience. So, I thought I’d end with a tip that was tested on the masses.

Back in 2012, Barack Obama and his campaign team sent hundreds of emails to raise funds for his campaign.

Of the $690 million he raised, most came from direct email appeals. But there was one email, according to ABC news, that was far more effective than the rest. And it was an odd one.

The email that drew in the most cash, had a strange subject line. It simply said “Hey.”

The actual email asked the reader to donate, sharing all the expected reasons, but the subject line was different.

It sparked curiosity, it got people wondering, is Obama saying Hey just to me?

Readers were curious and couldn’t help but open the email. According to ABC it was “the most effective pitch of all.”

Because more people opened, it raised more money than any other email. The bias Obama used here is the curiosity gap. We’re more likely to act on something when our curiosity is piqued.

Email example

Loss aversion, social proof, consistency, scarcity and curiosity—all these nudges have helped me improve my emails. And I reckon they’ll work for you.

It’s not guaranteed of course. Many might fail. But running some simple a/b tests for your emails is cost free, so why not try it out?

This blog is part of Phill Agnew’s Marketing Cheat Sheet series where he reveals the scientifically proven tips to help you improve your marketing. To learn more, listen to his podcast Nudge, a proud member of the Hubspot Podcast Network.

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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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