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3 ways to deliver better marketing experiences

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3 ways to deliver better marketing experiences

“As martech ambassadors, we have a choice,” said Nina Butler, director of event experience at Alyce, in her presentation at The MarTech Conference. “We can continue to create more of the same experiences that over time have become more generic — a little bit more spammy, a little bit more self-serving — or we can pause, reflect, and start to think about how we can begin creating more meaningful moments that deliver lasting impressions with our buyers.”

Part of the modern marketer’s responsibility is to reduce the number of impersonal touches prospects face. Digital customers are increasingly disillusioned with brands due to so many negative interactions, which is why marketers need to differentiate themselves via engaging customer experiences.

“Oftentimes, it’s those differentiated experiences that help your brand stand out from the pack and create more momentum in that customer journey,” she said.

Here are three ways Butler recommends marketers deliver better customer experiences.

how to personalize customer experiences
Source: Nina Butler

Work to bring offline audiences online

It can often be difficult for marketers to draw in potential customers from offline platforms (like podcasts), especially when those avenues offer people so much useful information.

“How can you take what is normally a long game — like building up credibility and subject matter expertise in your space, hoping that over time people view your brand as the expert — and shortcut some of the time and get more instant results by driving [people] back to your website?” asked Butler.

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Butler’s marketing team was able to draw in these audiences by combining their marketing automation system with a chatbot. After realizing they were missing out on a highly relevant audience from a marketing podcast, the team set up a chatbot on their site with a specific keyword and custom URL. Then, they asked the podcast host to share the keyword and URL with their listeners, directing them to the site. When the listeners visited their URL, the chatbot noted when the keyword was entered and then rewarded users with a customized gift.

This highly effective tactic helped Butler’s team bring in a whole new audience, enhancing the customer experience through personalization.


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Identify valuable actions and reward users

“Think critically about what the actions are that are most valuable to your community,” said Bulter. “Look at KPIs that drive community membership or subscriber growth year over year.”

Whether it’s a click on a call-to-action, email open, or sales form submission, marketers need to analyze customers’ most valuable actions, taking note of behaviors and circumstances that lead to these events. Butler suggests marketers help facilitate these actions by offering users gifts upon completion, which are determined by engagement tiers.

Brands can use a marketing automation platform to monitor behaviors and engagement, then email gifts to qualifying members.

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“As you’re thinking about the most valuable outcomes, make sure that you are looking across your marketing automation and technology to ensure that you can monitor your desired behaviors,” said Butler. “You want to make sure that you’re normalizing your aspirational KPIs with the things that you can indeed track successfully.”

Highlight customer milestones with gifts

“I think we could all agree that we are living in this world of digital distance and, honestly, digital dissonance,” Butler said. “When it comes to these transactional touches, how do we create some memorable moments out of those experiences instead?”

Her team, with its emphasis on rewarding audiences, recommends marketers use technologies that monitor customer behavior so they can note milestones they consider valuable. Customer journey analytics platforms can help pinpoint these behaviors in the customer experience, which can include specific site engagements like form fills, course completions, product purchases and other actions.


What it is and how it identifies vital customer touchpoints

Explore capabilities from vendors like Adobe, Pointillist, SharpSpring, Salesforce and more in the full MarTech Intelligence Report on customer journey analytics platforms.

Click here to download!


Butler says milestone recognition isn’t so much about where it takes place in the customer journey, but rather about how your brand acknowledges it. It’s about how your brand rewards the customer, using whatever gift will improve the experience.

“Gifting is going to be a way to get into the hearts and minds of your loyal, championed customers,” she said.

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Customer journey analytics: A snapshot

What it is. Customer journey analytics software lets marketers connect real-time data points from across channels, touchpoints and systems, allowing users to gain insights into the customer journey over time. This allows marketers to explore the customer journey using data.

Why it’s hot today. Businesses know they need to be customer-focused in each aspect of their marketing operations. As a first step, brands need to understand how consumers are finding them. Whether it be via search, advertisement, or word of mouth, the medium used will set the trajectory for the rest of their journey.

Meanwhile, the average person uses many devices to access the internet, and Cisco forecasts that the number of devices connected to IP networks will increase to more than three times the global population by 2023. With so many devices, people shift back and forth depending on the task at hand and their current environment. Consumers and business buyers turn to an average of nine channels to browse product inventory, look for advice, and make purchases.

Capturing their interactions post-discovery, such as communication with a call center or visit to a retail outlet, helps brands see which of their assets are helping them along their path. What’s more, brands need to know what those who convert do post-purchase–this information helps companies win repeat business and encourage customer advocacy. Customer journey analytics tools do just that.

What the tools do. The majority of vendors offer one or more of the following capabilities to give marketers an understanding of the customer journey: data gathering from a wide variety of channels and touchpoints; analysis using artificial intelligence and machine learning, and customer journey visualization.

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Many vendors also offer customer journey orchestration (CJO) capabilities, which allow users to act upon the insights and actually deliver the next step in the customer journey in real-time.

Why we care. Customers expect to have consistent experiences at each of these touchpoints. They want personalization, a trend that continues to grow. Tools like customer journey analytics software give brands the ability to gain insights from their audience and act on them.

Read Next: What is customer journey analytics and how are these tools helping marketers?


About The Author

Guide to what you missed at the fall 2022 MarTech

Corey Patterson is an Editor for MarTech and Search Engine Land. With a background in SEO, content marketing, and journalism, he covers SEO and PPC to help marketers improve their campaigns.

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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.”

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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.”

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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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