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Revolutionize Your Marketing Strategy with Podcasting

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Revolutionize Your Marketing Strategy with Podcasting

Podcasting has become an increasingly popular way for businesses to reach their target audience and build a loyal following. But how can businesses use podcasting as a part of their overall marketing strategy?

I know firsthand as a business owner the importance of creating a targeted and effective marketing strategy that maximizes the value of each customer and builds long-term loyalty and advocacy for my brand. That’s why I decided to leverage the power of podcasting by launching the Creative Visionaries Podcast as a part of my overall marketing strategy at Creative Marketing.

To create a targeted and effective podcast marketing strategy that maximizes the value of each customer and builds long-term loyalty and advocacy for their brand, businesses can turn to DigitalMarketer’s Customer Value Journey (CVJ) framework. While it is most commonly used in the development of a marketing plan there is a huge opportunity to align each stage of the CVJ with the podcast marketing process.

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Businesses can create episodes that attract listeners, build trust, and ultimately convert them into loyal brand advocates. This approach ensures that every podcast episode provides value to the listener, while also advancing them further along the customer value journey toward becoming a loyal customer.

To better understand how the CVJ framework can be applied to podcast marketing, let’s take a closer look at each of the eight stages:

  • Awareness: At this stage, the customer becomes aware of the business and its products or services.
  • Engagement: The customer engages with the business in some way, such as by visiting the website or signing up for an email list.
  • Subscribe: The customer opts in to receive more information from the business, such as a newsletter or free content.
  • Convert: The customer makes their first purchase from the business.
  • Excite: The customer experiences the product or service and becomes excited about it.
  • Ascend: The customer makes additional purchases or upgrades to higher-priced products or services.
  • Advocate: The customer becomes a loyal fan of the business and recommends it to others.
  • Promote: The customer actively promotes the business and its products or services to others.

Applying this framework to podcasting, businesses can create and market a successful podcast that guides customers through each stage of the journey.

At the Awareness stage, a business might promote its podcast on social media or through paid advertising to reach new listeners. By offering valuable and engaging content in the podcast, businesses can then move listeners into the Engagement and Subscribe stages of the journey.

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Encouraging listeners to subscribe to the podcast and leave reviews can help move them into the Conversion stage, where they become paying customers.

During the Excite stage, businesses can leverage their podcast to deepen engagement and foster brand loyalty. By offering valuable content that speaks directly to their customers’ needs and interests, businesses can generate excitement and enthusiasm around their brand, further strengthening their connection with their audience.

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This leads them directly into the Ascend stage, where customers are offered opportunities to move up the value ladder by making additional purchases or upgrades to higher-priced products or services, building a deeper relationship with the brand.

For example, a digital marketing agency could establish authority in their industry by offering marketing consulting services and using a podcast to provide valuable insights and tips to potential clients, ultimately building trust and establishing themselves as an expert in their field.

At the Advocate stage, businesses can use their podcast to create a community of loyal fans who actively promote their brand. This can be done by encouraging listeners to share the podcast with others, leave positive reviews, and engage with the business on social media.

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Businesses can create long-term loyalty and advocacy by promoting their podcast to their existing audience and leveraging the Promote stage of the customer value journey, which involves creating a sense of belonging and community around their brand.

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So, we’ve talked about how podcasting can really benefit businesses. It’s a great way to get your brand out there, engage with your customers, and connect with your target audience. Plus, it’s a powerful tool for establishing your expertise and building a strong, recognizable brand.

By incorporating the CVJ framework to guide their podcast marketing efforts, businesses can create a more targeted and effective strategy that maximizes the value of each customer and builds long-term loyalty and advocacy for their brand.

To create a successful podcast, businesses should follow some key tips:

First, they should identify a specific niche or topic that appeals to their target audience. By focusing on a specific topic, businesses can differentiate themselves from other podcasts and create a loyal following.

Second, businesses should produce high-quality content that provides value to their listeners. This can include interviews with experts in the industry, tips and advice, and engaging storytelling.

Third, businesses should promote their podcast through various channels, including social media, email marketing, and paid advertising.

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With dedication and creativity, podcasting can be a valuable asset for any business looking to stand out in today’s digital landscape. By creating high-quality content that resonates with their audience, businesses can increase brand awareness, engagement, and loyalty.

Incorporating the Customer Value Journey framework can help guide their podcast marketing efforts and create a more effective and targeted strategy. So, if you’re looking to take your business to the next level, consider starting a podcast today and join the millions of businesses already leveraging this powerful tool.

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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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