MARKETING
Mastering AI-Powered Sales and Marketing: 10 Steps to Success in 2024
As we gear up for 2024, the marketing and sales landscape is evolving at breakneck speed, with Artificial Intelligence (AI) at its core. To ensure you not only keep up but thrive, let’s dive deep into the actionable steps you need to take. We’ll also explore real-world case studies of how other digital marketers are leveraging these concepts for unparalleled success.
1. Solutions, Not Products: Crafting Compelling Messaging
To excel in 2024, it’s crucial to shift your focus from merely promoting products to highlighting the solutions they offer. Your customers don’t want products; they seek solutions to their problems and needs. Here’s how to do it:
Actionable Step: Go on ChatGPT and use a prompt asking it for relevant insights on your target market. Revisit your marketing collateral, website, and social media content. Ensure your messaging centers on how your offerings directly address pain points and deliver tangible solutions.
Real-World Case Study: Airbnb’s “Live Anywhere” campaign is an excellent example of this principle in action. Instead of showcasing properties, they emphasized the experience of living anywhere, tapping into the desire for flexible lifestyles, especially post-pandemic.
2. Master Prospecting: Elevating Lead Conversion
With a multitude of online leads at your disposal, the next critical step is turning them into enthusiastic prospects. Employ these strategies:
Actionable Step: Implement Conversational Commerce techniques, such as psychology and Neuro-Linguistic Programming (NLP), in your direct messages and online interactions to create rapport and spark interest.
Real-World Case Study: HubSpot, a leading CRM platform, used personalized video messages in their email outreach to engage leads. This personal touch significantly increased response rates and conversions.
3. Know Your Audience: Personalization Through Research
Thoroughly researching your clients before meetings or presentations is paramount. Discover common interests and preferences to initiate meaningful conversations:
Actionable Step: Study how Rapport, a Neuro-Linguistic Programming concept that states “people like people who are like them”. Knowing how your clients are like and what they like will get them to like you. Also leverage social media platforms like LinkedIn, Facebook, and Instagram to gather insights about your clients. Use this knowledge to craft personalized pitches and foster connections.
Real-World Case Study: Coca-Cola’s “Share a Coke” campaign personalized their products by printing customers’ names on bottles. This simple but effective personalization strategy led to a significant boost in sales and customer engagement.
4. Deep Customer Understanding: The WIIFM Approach
Understanding your audience’s needs is the cornerstone of effective marketing. Your product or service must provide a clear answer to the question, “What’s In It For Me?” (WIIFM):
Actionable Step: Conduct in-depth customer surveys, interviews, AI-powered quizzes, and feedback analysis to identify pain points and preferences. Tailor your offerings to directly address these needs.
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Real-World Case Study: Amazon’s product recommendations based on previous purchases and browsing history are a prime example of WIIFM in action. This personalization strategy drives a significant portion of their sales.
5. Storytelling Mastery: Engaging Through Narratives
Storytelling is a potent tool to connect with your audience emotionally. It engages the brain’s mirror neurons that puts the listeners and viewers in the shoes of the storyteller.
Actionable Step: Go on visual AI tools like Midjourney or Canva and develop a prompt that will show your ideal client in the story that you are telling ie “Digital nomad working by the beach” or “student-athelete winning his first championship” to have complementary visuals to your story. Develop a library of customer success stories and case studies. Craft narratives that resonate with your audience’s experiences and demonstrate how your offering solves their problems.
Real-World Case Study: Nike’s “Find Your Greatness” campaign told inspirational stories of everyday athletes, showcasing their struggles and triumphs. This emotionally charged storytelling resonated with a global audience and significantly boosted brand loyalty.
6. Embrace Video Marketing: Captivate Your Audience
Video is the dominant medium across platforms like TikTok, Instagram Reels, webinars, and live streams. It’s essential to engage your audience effectively through video:
Actionable Step: Invest in video content creation and distribution. Create short, attention-grabbing videos for platforms like TikTok and Instagram Reels. Host webinars and live events to foster deeper connections. Then use AI tools like Vizard or Descript to cut, edit and repurpose your content to appeal to different settings and emotions. You can make it casual, formal, or even funny with just one long-form content.
Real-World Case Study: Dollar Shave Club’s humorous and relatable video marketing campaigns went viral, showcasing the power of video content. Their witty approach led to explosive growth and brand recognition.
7. Understand the Sales Funnel: Guiding Your Customers
Grasping the stages of the sales funnel, from awareness to action, is fundamental. Optimize your digital performance by:
Actionable Step: Implement a well-structured sales funnel. Utilize platforms like The Conversion Engine to streamline and enhance the customer journey.
Real-World Case Study: Salesforce’s sales funnel is a prime example of an effective customer journey. Their CRM platform guides leads from awareness to action, resulting in increased conversions and customer retention.
8. Active Listening: Engaging Your Audience
Listening to your audience actively and empathetically is key to understanding their needs and sentiments:
Actionable Step: Conduct polls, surveys, and interactive social media campaigns to gather customer feedback and preferences. Use this data to tailor your messaging and offerings. You can then feed this data to train an AI assistant that can be housed inside your website. AI Business Solutions is doing this for small businesses, and I also have this on my own website. It will feel like you ar reading your customer’s minds and will in turn build rapport and trust with them.
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Real-World Case Study: Starbucks’ “My Starbucks Idea” platform encourages customers to submit suggestions and feedback. This active listening strategy has led to product innovations and enhanced customer loyalty.
9. Meet Buyers Where They Are: Tailored Communication
Tailor your communication to match different stages of the customer journey and adapt it to relevant platforms:
Actionable Step: Segment your audience based on their journey stage and preferences. Craft tailored messages and content for each segment and platform accordingly.
Real-World Case Study: Spotify’s personalized playlists, such as “Discover Weekly,” curate music based on users’ listening habits. This tailored approach keeps users engaged and returning to the platform.
10. The AI-Powered Revolution: Leveraging AI
In 2024, AI will play a central role in marketing and sales. Embrace these AI-powered strategies:
Actionable Step: Invest in AI-powered predictive analytics, content creation, social media marketing, sales forecasting, and automation tools. Use AI to target high-value leads and enhance customer engagement.
Real-World Case Study: Netflix’s recommendation engine, driven by AI, suggests personalized content to users. This has led to increased user satisfaction and longer subscription retention.
While AI is set to revolutionize marketing and sales in 2024, remember that it’s a tool. Effective communication, clarity, and an in-depth understanding of your market remain paramount. By implementing these actionable steps and drawing inspiration from real-world case studies, you’ll not only adapt to the evolving landscape but also thrive in the AI-powered future of sales and marketing. It’s time to turn knowledge into action and drive unparalleled success in 2024 and beyond.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
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!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
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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