Today's Guide to the Marketing Jungle from Social Media Examiner...
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The weekend is almost here, Alluser! Here's a recap of the most important insights, trends, and updates from the week. Catch up in minutes and go into next week prepared.

In today's edition:

The Meta support contact list every marketer needs
Update your Reels strategy with this breakdown of tested examples
What changed with LinkedIn's algorithm last month, and what to do no
5 fixes for failing marketing content
Customizing secure AI roles to scale your work
TikTok Updates: Mobile Scheduling, Bulletin Boards, and More
5 hidden settings to improve what you get from ChatGPT
TUTORIAL: Use ChatGPT and GA4 to optimize your website and social media content
🗞️ Industry news from PLATFORM, PLATFORM, and more

How to Contact Meta for Marketing Support

Ever tried contacting Facebook and felt like you hit a wall of bots and dead ends? It is notoriously hard to reach a real human at Meta. Whether you're navigating a hacked account, ad rejection, or something else, the maze of forms can feel endless and maddening.

Good news: Mari Smith has done the heavy lifting for you. Her updated guide now includes 120+ direct forms for nearly every Facebook issue imaginable.

From security breaches and lost access to ad and payment problems, it's all organized in one place—no more aimless Googling or help-center rabbit holes. Read and bookmark it here.

7 Reels to Model in Your Instagram Marketing

Instagram in 2025 isn't about generic how-to tips or vanilla providing value posts anymore. The content that's working for marketers stirs emotions, tells stories, sparks curiosity.

Shannon McKinstrie saved a series of Reels that stopped a scroll this week and tells you why they worked.

You'll discover smart, scroll-tested formats that you can plug directly into your own content. Read more here.

The New LinkedIn Algorithm

If you think your LinkedIn posts have been getting fewer views lately, you're not imagining things. The algorithm really did change in July 2025.

Michelle J. Raymond breaks it all down in this episode of her B2B Growth Co podcast.

She recaps what's changed, then dives into three types of content LinkedIn is prioritizing right now and how to turn them into a repeatable strategy that doesn't eat your whole workweek. Watch more here.

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Stop guessing what to learn next and get a clear path forward tailored just for you.

Take my free assessment.

5 Reasons Your Content Is Failing and How to Fix It

Have you ever published content that felt well-written, strategic—even inspired—only to watch it disappear into the void without traction? Or wondered why your competitors' content sparks conversation and loyalty while yours struggles to connect?

The solution isn't just better headlines or trendier formats—it's humanization.

This article explores five reasons your content isn't delivering and offers practical, research-backed fixes. You'll explore diagnostic questions, real-world examples, and new mindsets for creating content people will read, share, and respond to.

Lack of Predictive Intelligence: 4 Ways to Understand Consumer Responses to Marketing Content

You need to anticipate how your audience will respond to content before publishing it. This step involves developing a deeper understanding of your audience's behaviors, motivations, and likely reactions.

Modern consumers have developed sophisticated psychological defenses against marketing content. These defenses stem from repeated negative experiences with clickbait headlines, spam messages, gated content that promised value but delivered disappointment, and forced calls-to-action that interrupted valuable content.

"Their brain is like, okay, we're going to make sure we don't go through this again," Murray explains. "So we're taking more time to think about those experiences and what we can do on the content side to make sure that we may not generate, you know, defenses up, and maybe we can lower them a bit."

Academic research supports this understanding. Studies show that when social media content includes direct sales language like "click here" or "buy this," engagement drops dramatically. People stop sharing, commenting, or interacting because they want to make their own decisions without being told what to do.

Leverage Internal Resources for Predictive Intelligence

Organizations often possess untapped resources for understanding audience behavior through employees who interact directly with customers and prospects.

Customer Service Teams: These team members handle daily interactions with customers experiencing problems, asking questions, and expressing frustrations. Their insights can inform content that addresses real concerns rather than assumed pain points.

Sales Teams: Sales professionals speak with prospects and customers regularly, gaining direct insight into objections, concerns, and decision-making processes. Murray recommends asking sales teams: "You know these people because you're talking to them every day. So if you put this in front of them, what do you think their reaction would be?"

Conference Speakers: Team members who present at industry events often return with valuable intelligence about trending questions and concerns they hadn't previously addressed. This real-time market feedback can inform content strategy and identify content gaps.

Public-Facing Employees: Anyone with external interactions brings a valuable perspective about how audiences think and respond to different approaches.

Surveys and Direct Feedback

Rather than assuming you understand your audience, predictive intelligence actively seeks feedback about their preferences, concerns, and responses to different approaches. Modern technology makes conducting surveys, interviews, and direct audience research easier than ever.

This might involve post-conference interviews, customer survey data, social media polling, or even informal conversations during networking events. The goal is to replace assumptions with actual data about how your audience thinks and responds.

Research-Based Predictive Intelligence

Murray recommends three sources for a better understanding of audience psychology:

Nancy Harhut's work focuses on behavioral science applications in marketing, including how people respond to different approaches and the subconscious emotional triggers that influence behavior.

Guy Kawasaki's Enchantment provides insights into creating content that genuinely enchants audiences rather than simply promoting to them.

Studies in consumer behavior, buyer psychology, and digital marketing effectiveness offer evidence-based insights rather than assumptions about what works.

Analyze Audience Response to Content

Rather than hoping assumptions prove correct, predictive intelligence involves creating systematic approaches to learning about your audience through content itself.

Fill-in-the-Blank Testing: When implementing engagement posts like "the most challenging thing for my business right now is ______," analyze the responses and response patterns. Low engagement might indicate the wrong question rather than a lack of interest.

Response Analysis: Examine which content generates meaningful discussion versus surface-level engagement to reveal what topics truly resonate with your audience and which approaches feel authentic versus promotional.

Behavioral Pattern Recognition: Track how audiences respond to different language choices, content formats, and engagement approaches over time. This builds predictive intelligence about what works for your specific audience.

Creating AI Roles to Grow Your Business

Ever feel like your business is stuck in a loop of repetitive tasks that stop you from exploring important options that could grow your business? Do you keep putting off strategic projects because you're buried in day-to-day demands?

This interview walks you through how to create custom AI team members using tools like ChatGPT and Claude. You'll learn how to choose the right roles, match them to the best platforms, write high-impact instructions, and integrate each AI role with your business workflows—securely and professionally.

How to Build Effective AI Role Instructions

Creating powerful AI roles requires more than just describing what you want the AI to do. The quality of your instructions directly impacts the effectiveness of your AI team members, so developing clear, comprehensive guidance is essential.

Start by articulating what you want your AI role to do, even if your initial explanation is messy and incomplete. Most people create unclear instructions initially, which leads to disappointing results. The solution involves a systematic cleanup process.

Begin with your rough concept, even if it's disorganized.

  I need a landing page for my upcoming event, AI Marketing Summit 2025. And I want it to be persuasive. My desired outcome is that people register for the event and tell their friends.

While this captures your basic intent, it's not structured well enough to generate optimal results. The next step involves asking ChatGPT to clean up your prompt.

  Clean up this prompt: [your rough instructions]

When ChatGPT cleans up your prompt, it transforms your messy ideas into something like: "I need a persuasive, high-converting landing page copy for my upcoming event. The goal is to get people to register immediately and feel excited." This cleaned version captures exactly what you wanted to say, but in a much more effective format.

After cleaning up your basic prompt, you can take it to the next level by creating a mega or supercharged prompt.

  Turn this into a supercharged mega prompt.

The mega prompt process expands your cleaned instructions into comprehensive guidance that outlines your objective, provides detailed specifications, and addresses formatting requirements. Instead of a simple paragraph, you'll receive a full page of detailed instructions that cover elements you might not have considered.

For the landing page example, a mega prompt might specify including bonuses, covering the main promise, using specific psychological triggers, adding testimonials, creating urgency, and incorporating other conversion elements. The mega prompt anticipates needs and requirements that significantly improve the final output.

Give Your AI Team Member a Comprehensive Knowledge Base

Upload comprehensive information to your AI's knowledge base to make it truly smart about your business. This data includes your best standard operating procedures, brand guidelines, capability statements, company information, and any other documentation that helps the AI understand your business context.

For social media content creators, include your best-performing content so the AI can analyze what works and create similar high-quality material. For copywriters, provide examples of your most successful copy, brand voice guides, and style guidelines.

The knowledge base serves as the AI's reference library, enabling it to produce work that aligns with your established standards and brand identity. The more relevant information you provide, the better the AI can tailor its outputs to match your specific requirements and maintain consistency across all communications.

Tell Your AI Role Team Member to Use a Sequential Question Design

When designing AI roles that gather information through questions, structure them to ask questions in sequential order rather than overwhelming users with multiple questions at once. Tell ChatGPT explicitly to "ask questions in sequential order" and "don't ask the next question until the previous question is answered."

This approach prevents the frustrating experience of receiving twenty questions to answer simultaneously. Instead, users answer one question at a time, creating a more manageable and user-friendly interaction.

For press release writers, this might mean asking first about the event or announcement, then about the target audience, followed by key benefits, and finally about desired outcomes. Each question builds on the previous answer, creating a logical flow that produces better results.

When users answer these questions, encourage them to provide comprehensive information rather than brief responses. The more context and detail the AI receives, the better its output can be. This is where the following vocal brain dump approach becomes valuable.

Native Mobile Scheduling

Currently, scheduling TikTok posts requires accessing the desktop version of the platform, creating a significant workflow disruption for marketers who prefer mobile-first content creation. This new feature will allow users to schedule all their TikTok content right there in the mobile app, which represents a major convenience upgrade for busy marketing professionals.

The scheduling feature is particularly significant for marketers who have accumulated extensive draft collections on their mobile devices. Keenya Kelly explains the excitement around this update: "It makes me so excited. It really is going to allow you to schedule all your TikTok content right there in the mobile app, which is huge because many of us have all these things in our drafts, and now we're going to be able to schedule them."

The rollout details remain limited, with TikTok following their typical pattern of testing with select users before broader distribution. The platform has not disclosed full rollout plans or specific eligibility criteria for accessing the scheduling feature.

While it's expected that the feature will eventually be available for all account types, marketers should prepare for a gradual rollout similar to other TikTok feature launches.

For marketing teams managing multiple campaigns and content calendars, this update could significantly streamline workflow efficiency. The ability to batch-create content and schedule it for optimal posting times without switching between devices represents a substantial productivity improvement.

Bulletin Boards

The Bulletin Boards feature allows creators and brands to establish private communication channels with their most engaged followers. Currently in beta testing with select users, this feature enables posting up to twenty bulletins per day, with each bulletin capped at one thousand characters.

Kelly describes the character limitation in practical terms: "A thousand characters, it's not necessarily bad. It's just that if, as marketers, we want to do things the way we always do, you're going to be limited. But I think we can figure it out with a thousand characters. It's a lot." To put this in perspective, TikTok bios are limited to eighty characters, making each bulletin approximately twelve times longer than a typical bio.

The private nature of Bulletin Boards creates several strategic advantages for marketers. First, it allows for more intimate communication with highly engaged community members without competing with the constant stream of public content. Second, it provides a direct channel for sharing exclusive updates, behind-the-scenes content, or special offers with your most valuable audience segments.

Third, the character limit encourages concise, impactful messaging that respects followers' time while delivering substantial value. This constraint can actually benefit marketers by forcing them to distill their messages to their most essential elements.

For businesses focused on community building and customer retention, Bulletin Boards could become a crucial tool for maintaining ongoing engagement with their most loyal customers.

TikTok has not disclosed full rollout plans or eligibility criteria for Bulletin Boards access, but the feature aligns with the platform's broader strategy of providing creators and businesses with more sophisticated community management tools.

Creator Care Mode Suite

TikTok's Creator Care Mode Suite introduces AI-driven tools designed to protect creators and their audiences from offensive content, with particular emphasis on safeguarding younger users.

The suite includes sophisticated comment filtering capabilities that automatically flag potentially offensive words and comments before they appear publicly. This proactive approach addresses one of the most persistent challenges creators face: managing inappropriate or harmful comments in real time.

Kelly explains the practical impact: "Sometimes when I'm talking about whatever, I'll click on the comments and I'll see I have ninety-one comments to review. And I'm like, well, because it's trying to see should this actually be said here? Because sometimes I'll comment the word weird and I'm not calling a person weird, but they don't know that. And so they're going to give that person a chance to determine, do I want actually to let this comment be here?"

The AI system errs on the side of caution, sometimes flagging comments that aren't actually problematic. However, this approach gives creators control over their comment environment without requiring them to manually review every interaction.

The Creator Care Mode Suite represents a significant expansion of these protective features to live streaming, an area that has historically operated with minimal content moderation. Kelly notes: "But also, they are enhancing this for live stream because live stream really hasn't had that feature. It's always been on the videos."

For marketers conducting live streams, this update addresses several critical concerns. First, it protects brand reputation by preventing inappropriate comments from appearing during live business presentations or product demonstrations. Second, it creates a safer environment for audience participation, potentially increasing engagement among viewers who might otherwise hesitate to participate in unmoderated chats.

Third, the feature reduces the administrative burden on marketing teams conducting live streams, allowing them to focus on content delivery rather than constant comment monitoring.

More Features, Tools, Changes, and Updates Discussed Include:

Footnotes for Content Accuracy and SEO
Countdown Bidding for Live Commerce
TikTok's Expansion Beyond Mobile Screens
YouTube Music Integration
TikTok Pro App and Charitable Giving

Watch it on YouTube

5 Settings to Customize on ChatGPT

Ever felt like ChatGPT just doesn't get you. You ask for help and get a Wikipedia-style answer. You try again with a longer prompt or more context, and the result is still: meh. Meanwhile, your colleague is cranking out gold that reads like a top-tier strategist wrote it. What gives?

Here's the twist: it's not about better prompts—it's about personalization. Most users completely overlook one game-changing setup inside ChatGPT that teaches it who you are before you even ask a single question. And once you tweak these settings, everything shifts—from tone to relevance to sheer usefulness.

If you've ever wanted ChatGPT to feel less robotic and more like a marketing-savvy partner who actually gets your world, this is the 30-second fix you didn't know you needed. Watch our video here.

Try This One-Question AI Fix to Create Better Data-Backed Content

While some marketers spin in circles guessing what content to create, others seem to have a sixth sense for what actually works. Is it magic? Do they have a PhD in data science. No. They know how to find and apply the right data in Google Analytics.

If you've ever opened Google Analytics to see where you can optimize your website or content, stared at the numbers, and struggled to make sense of all that data… this one's for you. All you need is GA4 and to ask the right question of ChatGPT.

Our latest tutorial shows you how AI can uncover money pit pages draining your traffic, fix broken landing pages, and boost social media engagement—all by uploading a simple CSV and using strategic prompts. No dashboards. No confusion. Just clear answers and action.

Whether you're still experimenting with AI or already automating your content workflows, this approach is a game-changer for squeezing ROI from every click and post. Watch our video here.

Deep Think Rolls Out in Gemini App for Ultra Subscribers: Google has launched Deep Think within the Gemini app, offering advanced reasoning capabilities to Google AI Ultra subscribers. This release is a refined, faster version of the model that recently achieved gold-standard performance at the International Mathematical Olympiad, now optimized for everyday use. It supports creative and technical tasks like web development, algorithm design, and complex scientific reasoning using parallel thinking and extended inference time. A small group of mathematicians is also receiving access to the full research-grade version. Deep Think can be enabled directly in the Gemini app, with a wider rollout via the API expected soon. Google

TikTok Tests Engaged Session Retargeting Tool: TikTok is experimenting with a new retargeting feature called "Engaged Session," which tracks users who stay at least 10 seconds on a landing page after clicking a TikTok ad. Designed to surface high-intent audiences, the tool provides engagement insights aligned with analytics platforms like Google and Adobe. While the test could enhance ad performance under the platform's Traffic objective, TikTok confirmed the feature is not yet live or broadly available. Its potential rollout raises privacy questions due to TikTok's past tracking practices, though current use appears limited to basic session data. Social Media Today

OpenAI Launches GPT‑OSS Models: OpenAI has unveiled GPT‑OSS, its first open-weight model family since GPT‑2, introducing two models—gpt‑oss‑120b and gpt‑oss‑20b—available under an Apache 2.0 license. The larger model runs affordably on a single 80 GB GPU and rivals the performance of OpenAI's o4‑mini across benchmarks in coding, health, and reasoning. The smaller gpt‑oss‑20b operates on edge devices with just 16 GB of RAM, offering low-cost local inference comparable to o3‑mini. Both models support agentic workflows, chain-of-thought reasoning, tool integration (like web search and Python execution), and are fully customizable via the Responses API. These models are now accessible globally through major platforms like Hugging Face, AWS Bedrock and SageMaker, Azure, Databricks, and Ollama, with GPU optimizations delivered in partnership with NVIDIA. OpenAI

Gemini App Launches Custom Illustrated Storybooks with Narration: Google has introduced a new feature in the Gemini app that allows users to create personalized, illustrated storybooks complete with read-aloud narration. By describing a story idea—or uploading personal photos or kids' drawings—users can generate a 10-page book in styles ranging from comic strips to claymation. The tool supports storytelling in over 45 languages and is designed to teach lessons, explain concepts, or bring memories to life. It's now available globally on both desktop and mobile platforms. Google

ElevenLabs Enters AI Music With Commercially Licensed Generator: AI audio company ElevenLabs has launched a music generation tool that it says is cleared for commercial use, expanding its offerings beyond voice and translation AI. To support this claim, ElevenLabs announced licensing deals with Merlin Network and Kobalt Music Group, allowing artists to voluntarily opt in and benefit from revenue sharing. The move follows legal scrutiny of similar AI music startups, such as Suno and Udio, for allegedly using copyrighted material in training. ElevenLabs' early music samples mimic the styles of major artists, prompting ongoing discussion about authenticity and ethical use. TechCrunch

Claude Opus 4.1 Boosts Coding and Reasoning Capabilities: Anthropic has released Claude Opus 4.1, an enhanced version of its flagship model that delivers stronger performance in coding, research, and agentic tasks. With a 74.5% score on SWE-bench Verified and notable gains in code refactoring accuracy, Opus 4.1 is already being adopted by enterprise teams for precision debugging. The model also improves at in-depth research and detailed information tracking. Available to paid users on the Claude platform and major cloud APIs, Opus 4.1 maintains the same pricing as Opus 4. Anthropic

Instagram Rolls Out New Creator Insights Tools: Instagram is enhancing its analytics for creators by replacing the "Accounts Reached" metric with "Viewers," offering a more accurate view count. A new feature in the Followers section highlights which posts and reels are driving the most follower growth. Additionally, creators can now access demographic insights at the individual post level, offering detailed data on who is engaging with specific content. For carousel posts, Instagram will also show which slide a user was viewing when they liked it. Instagram

WhatsApp Rolls Out New Anti-Scam Tools and Bans Millions of Accounts: WhatsApp has introduced a suite of new safety tools to combat the rising threat of messaging scams, including a group safety overview and contextual alerts when messaging unknown contacts. These updates come alongside a major crackdown in which the platform banned over 6.8 million scam-related accounts, many linked to organized criminal operations in Southeast Asia. Working with Meta and OpenAI, WhatsApp also disrupted a scam that spanned platforms like TikTok, Telegram, and ChatGPT. The company is promoting a "Pause, Question, Verify" approach to help users recognize scams, especially those offering fast money or urgent financial demands. WhatsApp

Snapchat Unveils Gen Z Insights to Guide Brand Engagement: Snapchat, in partnership with BBDO NY and market research firm Alter Agents, has released a global study debunking common myths about Gen Z and offering strategic guidance for brands. Based on responses from 6,000 Gen Z social platform users, the research reveals this generation values impact, integrity, and authenticity over traditional status symbols and brand loyalty. It highlights Gen Z's nuanced belief systems, entrepreneurial drive, and openness to legacy brands that engage meaningfully through creators and viral moments. The findings emphasize that a one-size-fits-all approach won't resonate—brands must demonstrate real values and evolve with Gen Z's diverse identities and expectations. Snapchat

YouTube Tests Collaborator Tagging: YouTube has begun testing a new feature that lets creators add collaborators to their videos, enabling content to be recommended to the audiences of each tagged creator. This feature is currently available to a limited group of users, with plans to expand the rollout in the future. YouTube

Instagram Edits App Adds DM Sharing, Teleprompter Integration, and Audio Boost: Meta has rolled out new productivity features in the Edits app to streamline content creation. Creators can now share their Edits drafts directly through Instagram DMs, making collaboration faster and more integrated. The app also supports transferring sticky notes into the Teleprompter, enabling seamless script access during filming. Additionally, users can amplify their video audio by boosting volume up to 150%, enhancing control over sound quality. These updates are available now in the Edits app. Instagram

Instagram Adds Reposts, Map Sharing, and Friends Tab in Reels: Instagram has rolled out new features designed to help users connect more meaningfully through shared content. Users can now repost public Reels and feed posts, which will appear in followers' feeds and on a dedicated profile tab. A new Instagram map feature enables selective location sharing with friends and lets users explore geo-tagged content. Additionally, a new "Friends" tab in Reels highlights content that friends have engaged with, offering new ways to discover and discuss what's trending in users' circles. These updates are launching in the U.S. first, with a broader rollout to follow. Instagram

Meta Launches AI Tools to Accelerate World Building in Horizon: Meta has introduced two new GenAI-powered features—Creator Assistant and Style Reference—to streamline world-building for Horizon creators using the Worlds desktop editor. Creator Assistant supports creators with task automation, contextual tips, and natural language generation of scripts and designs, while Style Reference enables consistent reuse of design styles across projects. These tools join a broader suite of AI capabilities, including mesh, texture, and audio generation, making it easier to create polished VR and mobile experiences. Meta has also expanded availability of the GenAI tools to creators in new global markets across Asia, Latin America, and Europe. Meta

Meta Adds Support for Multiple Avatars Across Apps: Meta now lets users create and switch between multiple avatars on Facebook, Messenger, and Instagram, expanding personalization options across its platforms. Accessible via the Avatar editor, the new "Switch Avatar" feature allows users to maintain different looks or personas. This enhancement is part of Meta's ongoing efforts to build toward its metaverse goals, with recent updates also including new body types, expressive poses, and AI-powered customization tools. Horizon Creator Partners can further personalize avatars with custom textures and generative clothing designs using advanced creation tools in the Horizon Creator Portal. Social Media Today

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