Connect with us

MARKETING

The Best Time to Send an Email [Research]

Published

on

Here’s a little exercise for you: Check the timestamps on the emails you’ve gotten in the past day. What have you found? For me, I noticed that most of my emails, especially my subscription emails, were sent between 9-10 AM, or 5-6 PM.

This isn’t a coincidence, either.

While the answer to “What’s the perfect time to send an email to my customers?” isn’t an exact science, there are some key findings we’ve discovered through heavy research, and those times listed above are right in line with what we found. Keep reading to find out the best time to send an email, according to our findings.

 

The data reflects when most audiences begin their day and throughout the afternoon.

If you’re sending emails that include a sale or promotion, try sending them during the times your audience tends to take their lunch breaks simply because they may be more likely to check their emails at this time.

Copy of LinkedIn - Graph - 1104 x 736 (5)

If you want something more specific when it comes to what time and day you should send an email, here’s what you need to know:

In our survey, we asked marketers which day of the week their marketing emails get the most engagement. 22.6% of U.S. marketers said Monday, 24.9% said Tuesday, and 21.3% of U.S. marketers said Wednesday.

When we asked those same marketers which time of day their emails get the most engagement we found that 34.9% said 9 AM to 12 PM and 27.6% said 12 PM to 3 PM.

From this data, it looks like the best days for seeing engagement fall during the first three days of the workweek, particularly between 9 AM and 3 PM.

For example, to send a customer an incentive, such as gift card from Rybbon, they are more likely to see it during that time. 

Keeping your audience in mind is a good tip for figuring out the time to send your emails. If your buyer persona is a professional with a nine-to-five job, sending emails during their ideal downtimes is the best. 

You can also use tools like postal.io to retain customers and boost leads.

Why Email Matters For Your Business

In our survey, we found that 85.4% of marketers leverage automation as part of their email marketing strategy. Therefore, if you aren’t leveraging automated email marketing your competition probably is.

Automated email marketing provides a chance for you to improve sales conversions — maybe even by 14%. It’s a way to send customers unique offers — such as product sales or newsletters updates — with information your reader can’t get anywhere else.

Emails should be personalized with what your customers want to see, allowing you to communicate with them instantly. Your emails should contain information your customers are interested in learning more about — such as discount offers, business updates, or product or service launches.

HubSpot‘s marketing email tool allows users to create and send automated emails for free. It also gives you the option to schedule your emails according to the preferences you’ve set. Then, your emails will be sent to the list(s) of contacts you select.

hubspot's marketing email schedule

When you reach this option in your automated email tool, you probably spend some time wondering when exactly your audience would like to receive your email, especially if it includes a limited-time offer. You want to make sure the highest number of customers possible are reading your emails.

How to Measure the Performance of Your Email Sends

If you’re wondering about the best time to send a marketing email, there’s something you should know first. There’s a lot of data out there on the subject that provides differing answers, and one reason is that it depends on your audience and — more importantly — how you’re measuring success.

For example, the best time for people to open your emails could differ from the best time for people to take action. Here is a breakdown of the most important email metrics:

Click-Through Rate

Click-through rate refers to the number of people who open a link or image in an email. This number will always be smaller than the total number of emails opened since some people will open your email but then abandon it without engaging with it any further.

52.2% of the marketers we surveyed reported increasing click-through rates to be the primary goal of their email marketing campaign. When asked to select up to three strategies that are most effective in improving click-through rates, 48.2% of respondents included email personalization, 36.5% included crafting effective subject lines, and 38.2% included providing value through marketing emails.

Click-to-Open Rate

When comparing the number of people that opened your email and the number that clicked on any links, that data is called click-to-open rate. This metric helps you identify which information in your emails is relevant to consumers. Finding CTOR is done by diving CTR by the open rate and multiplying it by 100%. For example, if your email receives 200 clicks and 120 opens, your click-to-open rate is 60%.

Open Rate

The open rate, then, is the percentage found from the number of subscribers who opened your email campaign. Emails that have great open rates have short, effective subject lines. Plus, they’re optimized for previews and preheader text.

 

To ensure you’re reaching your target audience, you’ll want to segment your B2B audience down even further — perhaps by job function or seniority — to accommodate different behaviors and modes of working with your email sends. You may even find that other times work better for your list

 

Continue experimenting and seeing what works best with your audience. One way to do this is by using an automation tool like Seventh Sense which will fine-tune your email sends using artificial intelligence.

Email marketing can be a tricky process . There are so many industries taking advantage of it in their own way and making an impact.

Your subscribers are already interested in your content. They appreciate what you are offering as a company, and as long as you’re sending them emails that relate to that, you have a good chance of obtaining great metrics.

Editor’s note: This post was originally published in November 2019 and has been updated for comprehensiveness.

New Call-to-action

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