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Artificial Intelligence (AI) and Automation in Digital Marketing

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Artificial Intelligence (AI) and Automation in Digital Marketing

Artificial Intelligence and automation in digital marketing are like witnessing the magic of technology and creativity. As per the data, a whopping $94 billion was invested in AI-powered marketing automation in 2021.

A survey by Statista in February 2022 revealed a mind-blowing 32% boost in AI-based marketing automation.

The excitement doesn’t stop here!

Reports say that AI-based marketing automation is projected to surge to a powerful $107.5 billion by 2028.

It’s truly fascinating to see how AI-based marketing automation bridges the gap between cutting-edge technology and human connection. This guide reveals the secrets of this majestic collaboration where the future of marketing teams up with a tool that provides unlimited possibilities.

Importance of AI automation in marketing

AI automation in marketing is a streamlined marketing process that feels smooth. It’s a personal assistant who understands the needs of the audience. It makes personalised content speak directly to each potential customer. With AI, you can create memorable campaigns while saving precious resources and money. Imagine the possibilities when your marketing efforts are not only more effective but also more cost-efficient.

Accenture reveals that companies embracing AI have witnessed a 30% rise in their ROI. That’s the kind of growth that dreams are made of. So, marketers should use marketing automation tools because it’s like adding a touch of smart technology to transform your efforts into extraordinary results.

Understanding AI in marketing automation

AI in marketing automation is like having a sidekick that combines tech with human skills, turning marketing strategies into masterpieces. Let’s take a look at some interesting insights:

Cracking the AI code:

Most professionals feel that AI is speaking in a different language. For 41.7% of businesses, the main hurdle to embracing AI marketing is simply not fully understanding it. It’s fascinating to witness endless possibilities that can transform your marketing strategies.

Creating content magic:

Content creation plays the lead role in the AI journey. AI can easily bring your ideas to life, uplifting your content with a creative touch to attract more customers. 44% of businesses have already harnessed AI to craft content that resonates with their audiences.

AI vs. Humans:

This is a rivalry where things get interesting. 71% believe that AI can shine in certain areas, like crunching numbers and data, but many still believe that humans will stay more powerful. AI still can’t deal with making tough decisions, striking up emotional chords and even conjuring creative masterpieces.

A glimpse of brighter horizons:

55% of professionals have already embraced the potential of AI to turbocharge their marketing efforts. AI is not just about uplifting marketing strategies; it also helps save big bucks. AI has helped businesses down their marketing budget for campaigns by 10%.

Navigating the plot twist:

About 35% still think AI might steal their jobs, like an unexpected plot twist. It’s a global concern as technology continues to evolve.

Executing marketing automation using AI

Personalisation with heart:

Imagine a marketing message that feels like it was crafted just for you. That’s the level of personalisation that can be achieved with the help of AI. It’s like having a close friend who understands the likes and dislikes of both you and your audience, making every interaction genuine and special.

Emails that sparkle:

With the help of AI, email automation becomes seamless, easy and smart. It ensures that your messages reach the right people at the perfect time.

Sorted and nurtured leads:

AI turns into a perfect matchmaker as it helps businesses identify the most promising leads through lead scoring.  And when it comes to nurturing these leads, AI’s nurturing game is on point. It provides each lead with the attention and care it deserves.

Gazing into the future with predictive analysis analytics:

AI is like a crystal ball that can give a sneak peek into what’s coming next. AI’s predictive analytics strolls past data to forecast future trends, giving businesses the edge they need to stay ahead of the curve.

Channel brilliance:

From social media to websites, AI becomes the ultimate guide, placing your content exactly where it will shine the brightest. It can help you know all the marketing secret spots for maximum impact.

All day long customer service:

AI allows you to provide customer service 24/7. AI-powered customer service is always ready to assist and ensure the customer’s needs are met.

Memorable communication:

AI transforms communication into an art form. Lightning-fast chatbots or perfectly timed automated follow-ups, AI can make communication more crisp and to the point while being creative. It ensures that every interaction leaves a lasting impression on the customers.

Industry-specific AI marketing automation

Each industry writes its own story with AI marketing automation, creating experiences that go beyond transactions. With the help of AI, it becomes easy to paint a future where industries thrive, businesses flourish, and customers find themselves at the heart of experiences that feel truly bespoke. Let’s take a look at how AI can be used in marketing automation in multiple industries:

E-commerce magic:

AI marketing automation becomes a personal shopping assistant in the competitive virtual marketplace. It’s like a friend who keeps suggesting products that feel like they were made just for the specific customer looking for them. It can help you with dynamic pricing that adjusts like a chameleon, ensuring you always get the best deal.

Healthcare’s healing touch:

AI marketing automation in healthcare is more about care. It is like a nurse who keeps reminding you of appointments and ensures you never miss your medicines. AI can be utilized extremely well in healthcare with automated medical tools.

Wanderlust and warmth:

AI marketing automation can become the perfect travel partner guiding travelers through bookings, suggestions and even experiences. AI automation in hospitality can ensure seamless check-ins, housekeeping, operations, guest experiences, etc. It can help in making the journey of every traveler an unforgettable one with unique experiences.

Financial wisdom:

AI marketing is like a money-savvy expert. It turns into a wise mentor who interprets market trends and offers insights for smart investments. It’s like a financial confidant who helps your money thrive and grow intelligently.

Conclusion:

This is not an ordinary ending; it’s the beginning of something exciting. It’s about a world where technology and human creativity join hands, where campaigns are tailor-made, and time is no longer a constraint but a canvas for strategic brilliance. As we move ahead, remember that the story of AI and automation is far from over. Get ready to shine in a future where the fusion of AI and marketing turn businesses into empires!

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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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