Today's Guide to the Marketing Jungle from Social Media Examiner...
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We're halfway through the week, Alluser, how's your marketing strategy holding up? Today's tips and insights will help you fine-tune your approach.
In today's edition:
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Struggling with Meta ad performance? You might be solving the wrong problem.
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3 Mistakes and solutions for implementing AI in your company
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🗞️ Industry news from Threads, WhatsApp, and more
Meta Ads Underperforming?
When Meta ad performance declines, the instinct is often to adjust targeting, launch new campaigns, or test the latest optimization technique. But what if those tactics aren't addressing the core issue and may actually be complicating the problem?
In his latest post, Jon Loomer offers a clear, structured checklist for diagnosing performance issues with Meta ads. Rather than relying on outdated strategies or reactive adjustments, he encourages marketers to simplify campaign structures, re-evaluate creative and messaging, and scrutinize the actual offer and landing page experience.
This perspective is particularly valuable for marketers integrating AI into their workflows or managing multi-channel strategies. Loomer challenges many of the prevailing assumptions in today's advertising landscape and redirects attention to the elements that truly move the needle.
If your current approach feels scattered or overly complex, this article may help you refocus on what you can actually control and improve. Read more here.
Don't Get Left Behind 🤖
Two types of marketers are emerging: those leveraging AI to work smarter, and those still grinding harder for less. The gap widens daily—which side will you choose?
"The AI keynotes were the most valuable information I've received at a conference in years. Worth the price of admission!" said Sarah Burt.
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"The mindset, openness, and amount of time the experts gave to us was head and shoulders above other conferences," said Noah Stanley.
The AI revolution is here NOW. Join 3,000+ marketers getting ahead.
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Entrepreneurial AI Pitfalls: Stop Making These 3 AI Mistakes
Michael Hyatt, founder of Full Focus and creator of the AI Business Lab mastermind, has observed a troubling pattern across hundreds of businesses attempting AI integration. Most entrepreneurs unknowingly sabotage their AI initiatives through three critical mistakes that not only waste money but also create institutional skepticism that makes future technology adoption more difficult.
These mistakes don't exist in isolation but rather create a cascading failure pattern that compounds organizational resistance to AI adoption.
The interconnected nature of these mistakes explains why successful AI adoption requires a systematic approach that addresses leadership engagement, change management, and strategic planning simultaneously. Solving one mistake while ignoring the others typically leads to continued failure, while addressing all three creates positive momentum that accelerates organizational AI integration.
Mistake: Failing to Address Team Fears Properly
The second critical mistake involves underestimating the psychological challenges that the introduction of AI creates for existing team members. Many entrepreneurs approach AI adoption as purely technical implementation while ignoring human dynamics that ultimately determine success or failure.
The fear of job displacement represents the most significant barrier, yet many business leaders either avoid discussing this concern directly or dismiss it as irrational. Hyatt advocates for addressing "the quiet part out loud" by acknowledging employee concerns explicitly.
When introducing AI to his Full Focus team, Hyatt directly addressed the question everyone was thinking: "You're probably thinking to yourself, gosh, is this going to replace me?" This acknowledgment created trust and demonstrated understanding of legitimate concerns.
His communication strategy balances honesty with reassurance: "I don't intend to replace any of you. Now to be honest, I don't know what the future holds, and you might get replaced, but I can tell you this - if you don't figure out AI for your particular job function, you will be replaced by somebody who has figured it out."
Individual resistance requires personalized attention. Hyatt's graphic designer, Julie, initially sat with arms crossed during training sessions. Rather than ignoring these signs, he created hands-on assignments that allowed Julie to discover AI benefits personally. She eventually used AI to create video clips featuring company products, expanding her capabilities from graphic design into art direction without threatening her existing skills.
Solution: Building Team Buy-In Through Strategic Change Management
Addressing team psychological concerns requires systematic attention to human dynamics throughout the AI adoption process rather than treating these issues as secondary considerations. This approach begins with honest communication about AI intentions and continues through comprehensive support systems.
Effective resistance management starts with establishing stability before introducing uncertainty. Rather than announcing sweeping changes, successful AI integration begins by clearly articulating what will remain constant. "Let's start with what's not going to change," Hyatt explains. "Our mission's not going to change. Our values aren't changing. The people that we serve aren't changing."
This approach allows employees to feel secure about fundamental aspects of their work environment while processing changes in specific tools and processes. The communication strategy must focus on employee benefits rather than business advantages, recognizing that people evaluate change primarily through personal impact.
The training structure emphasizes interaction over presentation, ensuring participants immediately practice new skills rather than passively consuming information. Hyatt's approach requires participants to bring computers, access AI platforms, and complete real exercises during sessions. When demonstrating the configuration of privacy settings, participants follow the same steps on their devices immediately.
Training begins with pre-session preparation using foundational videos covering basic prompting, security settings, and fundamental concepts. Rather than creating original content, existing YouTube resources can provide baseline education. The formal training alternates between concept introduction and hands-on application.
Assignment-based learning ensures knowledge transfer beyond training sessions through structured projects with specific deadlines and presentation requirements. Participants receive two weeks to apply AI to real business problems, then present results to the entire team. This show-and-tell format demonstrates practical applications while creating peer learning opportunities that transform resistance into curiosity.
Other topics discussed include:
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Mistake: Thinking AI Adoption Can Be Delegated
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Solution: Leading AI Adoption Personally
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Mistake: Choosing Tools Without a Strategic Framework
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Solution: Implementing Strategic Tool Selection
Today's advice provided with insights from Michael Hyatt, a featured guest on the AI Explored podcast.
Watch the full interview YouTube
Conversational Photo Editing Comes to Android via Google Photos: Google Photos is expanding its conversational editing tool—previously exclusive to Pixel 10—to eligible Android users in the U.S. The feature lets users describe desired photo changes using voice or text through a new "Help me edit" option. Backed by Gemini AI, the tool handles everything from simple enhancements to whimsical transformations, making photo editing more accessible and creative than ever. Google
Threads Adds Profile-Based Search Filter: Threads has introduced a profile-specific search function that allows users to search posts exclusively from a particular account. When viewing a profile, tapping the search icon now inserts a From: username tag, enabling targeted queries limited to that user's content. Social Media Today
TikTok Adds AI-Powered Trend Insights to Creator Tools: TikTok is enhancing its creator analytics with a new feature that surfaces trending topics, search terms, and demographic data based on a user's existing content. The goal is to help creators generate more resonant ideas and keep up with evolving trends. A persistent Create button has also been introduced to streamline content production. The feature aligns with similar AI-driven inspiration tools from YouTube and Meta, offering guidance while encouraging creators to maintain their unique voice. Social Media Today
WhatsApp Adds In-App Message Translations with Privacy Protections: WhatsApp is introducing message translation to help users communicate seamlessly across languages. Available initially in six languages on Android and over 19 on iPhone, the new feature allows users to translate individual messages or entire conversations with a simple long press. Android users can also enable automatic translation for ongoing chats. Translations are processed directly on users' devices to ensure chat privacy. The update is rolling out gradually, with more languages to follow. Meta
X to Launch Fully AI-Powered Feed with Personalized Controls: X is overhauling its content algorithm to be entirely AI-driven by November 2025, with plans to let users customize their feeds dynamically through its Grok assistant. The company also aims to release the open-source algorithm every two weeks to increase transparency. Elon Musk via X
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