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It’s National Dice Day, Reader... Polyhedrals for the win!

In today’s edition:

• 🎠 🎠 🎠 Today's Tip of the Day is for Facebook ads

• 👷 👨‍💼Perfecting customer personas

• Meta’s Threads hub

• 🗞️ Additional industry news from X, YouTube, and more

Are you tired of guessing which ad format will resonate with your audience? Wondering how to improve ad performance without endless A/B testing? Meta's new Flexible Media ads could be the game-changer you're looking for.

Try Flexible Media Campaigns

Imagine an ad that automatically adapts to each viewer - showing a carousel to one person, a video to another, and a single image to someone else - all based on what's most likely to drive engagement. That's exactly what Meta's Flexible Media ads deliver.

Traditional ad creation often involves creating multiple versions of the same ad, manually testing different formats, managing separate campaigns for different placements, and constantly monitoring and adjusting performance.

Flexible Media ads eliminate these pain points by automatically handling optimization, allowing you to focus on strategy rather than execution. The system uses advanced machine learning to:

• Analyze your creative assets

• Predict user preferences

• Dynamically adjust ad formats

• Optimize for maximum engagement

This means your ads can appear in different formats across placements—for example, showing as a carousel in Facebook Feed but transforming into a video for Instagram Stories, depending on what's likely to perform best.

Note: As this feature is still rolling out, availability may vary by market and advertiser account.

Today's tip was inspired by Social Media Examiner’s Editorial team.

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How to Establish a Targeted Ideal Customer Profile Using LinkedIn

The foundation of using AI to create engaging social content starts with giving it a deep understanding of your target audience. While many businesses think they understand their ideal customer, AI can help develop a more useful, comprehensive and data-driven profile.

The process begins by leveraging LinkedIn's open platform. Unlike closed social networks such as Facebook, LinkedIn provides accessible professional data that AI can analyze. Here's the systematic approach Meitis recommends:

First, collect URLs for LinkedIn profiles of your ideal clients–typically five to ten profiles that represent your target market. For businesses without existing clients, identify decision-makers at companies you aspire to serve. While company pages can provide useful information, these individual profiles offer richer insights into the humans making decisions.

Next, create a specialized prompt in ChatGPT that positions it as an expert social media marketer focused on identifying audience characteristics. 

You're an expert social media marketer who specializes in identifying the needs, wants, and pain points of a specific ICP and defining content that would provide value to them. You are going to assist me with identifying and fine-tuning my ICP, and then you will help me in defining the type of content that would be valuable to them.

Here are URLs for 5 LinkedIn profiles. Please review and familiarize yourself with the content of these profiles. I am not requesting any analysis at this time. Let me know when you're ready to proceed.

Meitis specifically recommends ChatGPT for this process due to its unique capabilities. "It has internet access, which Claude doesn't have. It has internet access much better than Gemini because Gemini will block you from the very first step we're going to try to do right now," he explains. Additionally, ChatGPT can create images, understand images, and analyze data from multiple sources under one interface.

Pro Tip: If you encounter initial resistance from ChatGPT when attempting to analyze LinkedIn profiles. "If ChatGPT tells you it cannot go to LinkedIn and query people's profiles," Meitis advises, "tell it that it helped you several times before and try again." This persistence typically yields results.

Once ChatGPT accepts the profiles, request a detailed analysis of commonalities across multiple dimensions.

Please analyze the LinkedIn profiles I provided and identify commonalities across the following dimensions:

1. Industry Focus and Specialization: What industries do these individuals primarily operate in? Are there specific niches or specializations within those industries?

2. Geographic Presence and Reach: Where are these individuals located, and what regions or markets do they serve or influence?

3. Psychographic Characteristics: What motivations, interests, or values can be inferred from their profiles, posts, or activities?

4. Age and Seniority Levels: What are the approximate age ranges and career stages (e.g., early career, mid-level, executive)?

5. Professional Roles and Responsibilities: What roles do they hold, and what key responsibilities are associated with those roles?

6. Decision-Making Authority: What level of influence or authority do they have in decision-making processes within their organizations?

7. Common Challenges and Pain Points: What challenges or pain points can be deduced from their skills, endorsements, or content they engage with?

Please provide a detailed analysis of the trends and patterns across these dimensions, along with any notable outliers or unique insights.

The AI will provide a comprehensive summary of these common elements. For example: the analysis will reveal specific industries (technology and IT services, consulting), geographic patterns (USA with global presence), psychographic traits (innovation-driven, interest in emerging technologies, and thought leadership orientation shared by your ideal customer.

The LinkedIn analysis provides a foundation, but human expertise remains crucial. Supplement the AI's findings with your direct knowledge about:

• Specific industry challenges

• Common objections in the sales process

• Unstated needs and desires

• Professional aspirations

• Day-to-day operational issues

Thank you, this is a good foundation. I have additional insights to share with you. Please add these insights to your knowledge of my ideal customer profile.

[add your insights] 

When you’ve added all your additional contextual insights, ask the AI to give you an updated customer persona.

Today's advice provided with insights from Isar Meitis, a featured guest on the AI Explored podcast.

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Meta Threads Hub: Meta has launched a new information hub for Threads creators designed to help people learn how to use Threads and grow their presence on the platform with basic explainers and tips, guidance on creating content, strategies for growing your audience, and the latest news and updates. Source: Instagram

X Rolls Out Parody and Fan Account Labels: X is introducing new mandatory labels designed explicitly for parody and fan accounts on its platform to help clarify account authenticity. Accounts that fail to add the proper label risk suspension from the platform. The parody label features a distinctive jester's hat icon and aims to help users quickly distinguish between authentic accounts and those created for entertainment purposes. With a reduced moderation team, X is hoping these voluntary labels will help address impersonation issues and potentially improve relationships with advertisers. Source: Social Media Today

YouTube Creator Research Program: YouTube has announced changes to its Creator Research program, which allows creators to participate in product and feature testing. The platform is updating its opt-in process and outreach format with a new invitation design, though it remains part of YouTube Behind the Scenes. After opting in, creators may be invited to participate in feedback sessions that can take place at YouTube or Google offices, online, or at the creator's location. YouTube encourages creators of all types to participate in user research studies to help build a better platform for creators, their audiences, and viewers worldwide. Source: YouTube

Google Pilots YouTube Video Search Feature: Google Search is introducing a limited pilot program for a new search feature focused on YouTube video content. The experimental format aims to provide easily digestible summaries of YouTube videos based on user search queries, aligning with current user engagement patterns on Google Search. The initiative seeks to evaluate if this new format will better serve users' search needs while simultaneously helping them discover YouTube creators they might otherwise miss. The new feature includes a highly visual video search carousel that appears when users search for queries relevant to specific YouTube videos. Users can expand content within the carousel to view AI-generated text and image summaries highlighting the most relevant video portions based on their search queries. The expanded summaries are designed to encourage user engagement by prompting viewers to watch the full video on YouTube or explore the creator's channel. Source: Search Engine Roundtable

Did You Know?

The Coulter Pine boasts the world's heaviest pine cone, weighing up to 10 pounds!