Today's Guide to the Marketing Jungle from Social Media Examiner...
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The weekend is almost here, Alluser! Before you unplug, here's one last round of insights and updates. Whether you read them now or save them for later, you won't want to miss these.
In today's edition:
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Is remarketing still worthwhile?
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Discover the Niche Problem Post Formula for strategic LinkedIn content
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🗞️ Industry news from Anthropic, Meta, and more
Meta Ad Remarketing Strategy
Is remarketing outdated or just misunderstood? Jon Loomer agrees that, in most cases, it's no longer essential. Meta's algorithm is smarter now. It knows who's likely to convert, often better than we do.
But he also outlines one powerful exception and walks through a low-cost, high-impact approach that taps into old school strategy with new tools for reach-optimized ads, custom audiences, and ad sequencing tailored to your warmest prospects.
If your business relies on nurturing the right buyers over time, this could be the strategic edge you've been overlooking. Listen to more here.

Driving Qualified Leads With LinkedIn Content: A Proven Formula
The core of this lead generation strategy revolves around what McEwen calls niche problem posts. These posts follow a specific structure designed to get prospects nodding their heads in recognition, thinking "That's me" as they read.
The format breaks down to approximately 80% problem identification and 20% solution presentation. The primary goal is getting prospects to have that emotional recognition moment where they see themselves clearly reflected in the problem you're describing.
Focus on one niche problem post per week if you're posting five times weekly, or increase the frequency to one in three if you post less often. These shouldn't comprise your entire content strategy—mix them with personal stories, industry insights, and lighter content that shows your human side.
Before implementing any content strategy, you must establish crucial foundational elements. Everything else will fail without these fundamentals in place.
First, you need to know your ideal customer profile inside and out. This goes beyond basic demographics to understanding what keeps them awake at night and their specific pain points. You need to be crystal clear on who your perfect customer is, what challenges they face, and what drives their decision-making.
An effective method for gathering this intelligence involves using AI tools to analyze your customer interactions. Take transcripts from all your past sales calls and customer conversations, then feed them into your preferred AI tool. Ask the AI to identify common themes, frequently asked questions, biggest pain points and challenges, and patterns that emerge consistently across conversations.
Second, your LinkedIn profile must speak directly to that ideal customer. Transform your profile into a mini landing page that clearly communicates the value you provide to people and businesses like them, along with the results you've achieved for similar clients. This isn't about showcasing how amazing you are—it's about demonstrating exactly how you help people like your prospects and why they should trust you. Back this up with case studies, testimonials, and concrete evidence of your expertise.
Finally, you need a legitimate, proven offer and a sales funnel to move prospects through your process. This means having an offer that people have actually purchased before, something tested and proven to work, along with a systematic way to guide prospects from initial interest to final purchase.
How to Format and Style Niche Problem Posts
These niche problem posts work best as text-only content without images or videos, so prospects focus entirely on the message without visual elements pulling their attention away.
Keep your posts between 300-350 words on average. While this might seem long for social media, it's necessary to properly develop the problem-symptom-solution sequence.
Dense text blocks perform poorly on mobile devices, where most LinkedIn consumption happens, so each major point should have visual separation to improve readability and comprehension. Break the post content into short paragraphs, often just one or two sentences each, to make skimming easy on mobile devices.
Bold any key phrases and bullet points to help important information stand out when people skim. Since LinkedIn doesn't provide native formatting options, you can search for a LinkedIn text formatter or use sites like LingoJam to generate formatted text you can paste into your posts.
In your post, use the language your ideal customers actually use. Don't use your internal jargon or marketing speak—use the exact phrases and words your prospects use when describing their challenges.
McEwen's team developed its approach by analyzing sales call transcripts and customer conversations to identify patterns. They spent hours dissecting this information with AI, having back-and-forth conversations to refine their understanding. This wasn't a quick five-minute process—it required substantial time investment working with team members to go through findings line by line, testing different approaches, and iterating on the messaging.
For example, in targeting sales teams struggling with cold outreach, they identified "spray and pray" as a universally recognized problem term in that industry. Everyone in sales knows what spray and pray means—blasting out generic messages without targeting or personalization. They could then frame posts around this familiar concept while introducing their own terminology for the solution.
Pro Tip: If you're using AI to create your ad copy, this requires telling your AI tools specifically to use the exact same words and phrases that your customers use. If you don't, the AI will paraphrase and return imprecise language.
Other topics discussed include:
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Developing Your Niche Problem Hook
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Detailing the Symptoms of the Niche Problem
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Naming the Real Niche Problem
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Introducing Your Niche Problem Solution
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Providing Social Proof
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Delivering Your Call to Action
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Implementing the Niche Problem Post Strategy
Today's advice is provided with insights from Mandy McEwen, a featured guest on the Social Media Marketing Podcast and speaker at Social Media Marketing World.
Watch the full interview on YouTube
Claude Brings AI Assistance Directly Into Slack Workflows: Anthropic has launched a deep integration between Claude and Slack, enabling users to leverage Claude's AI capabilities directly within Slack or by connecting Slack data into Claude. Available via direct messages, an AI assistant panel, or in-thread mentions, Claude helps draft replies, summarize discussions, and analyze shared files using contextual insights. Businesses can enhance meeting prep, project tracking, and onboarding through Claude's ability to search Slack messages and documents. The integration maintains enterprise-grade security and is now accessible to teams on paid Slack plans through the Slack Marketplace. Anthropic
Facebook Begins Phasing Out Automated Ads Ahead of 2026 Shutdown: Facebook has begun phasing out its Automated Ads product, with the feature set to be fully discontinued by 2026. While existing campaigns will continue running, users may no longer be able to create new automated ads. Deleting an active Automated Ad will terminate the campaign immediately and remove all related performance data. Other ad formats on Facebook remain unaffected. Meta
LinkedIn Streamlines Campaign Creation and Optimization for Small Businesses: LinkedIn has introduced new tools to help small business marketers launch and optimize ad campaigns faster and more effectively. Highlights include Auto-Targeting to simplify audience building, Draft with AI to accelerate creative production, and Canva and Adobe Express integrations for easy design. The updated Recommendations tab supports A/B testing and one-click improvements to campaign performance. Together, these tools aim to maximize ROI and minimize the time and effort required to run successful campaigns. LinkedIn
Meta Introduces Business AI Tools for Messaging, Ads, and Websites: Meta has launched a suite of Business AI tools designed to help companies drive customer engagement and sales across WhatsApp, Messenger, Meta ads, and now eCommerce websites. Businesses in the U.S. can instantly deploy AI agents that learn from existing campaigns and content, offering personalized support and product recommendations around the clock. Early users like Julep and Solgaard report significant boosts in conversions and operational efficiency. Business AI is free to use with Meta ads and available at competitive rates elsewhere. Meta also plans unified backend management and integrations with tools like Salesforce and Zendesk to simplify AI deployment across all customer touchpoints. Meta
Meta to Use AI Interactions to Improve Content and Ad Recommendations: Meta has announced it will start personalizing content and ad recommendations based on users' interactions with its generative AI features, beginning December 16. These updates apply across platforms like Facebook and Instagram and aim to enhance relevance by treating AI conversations as new personalization signals. Notifications about the change will roll out on October 7 via emails and in-app alerts. Users will still have control through existing Ads Preferences and feed tools, and sensitive conversation topics will remain excluded from ad targeting. These changes will apply across linked accounts within Meta's Accounts Center. Meta
Sora 2 Debuts as a Breakthrough in Realistic, Controllable Video Generation: OpenAI has launched Sora 2, a new video-audio generation model that significantly improves realism, physics accuracy, and prompt controllability compared to earlier systems. Integrated into a new invite-only Sora iOS app, users can generate and remix videos—and even insert themselves via "cameos"—in a social feed designed to foster creativity. Sora 2 supports complex scene composition, synchronized sound, and personalized realism, while offering user-centric tools like natural language feed controls and robust consent features. Available now in the U.S. and Canada, Sora 2 is free to use with future access planned via web, Pro tier, and API. OpenAI
X Adds Sorting Feature to Help Users Prioritize Engagement on Likes: X has rolled out a new feature enabling users to sort post likes by either "Top" or "Recent," making it easier to identify mutual followers and influential accounts engaging with their content. Accessible via the "View Activity" tab on posts, this update enhances visibility into high-value interactions, especially useful during high-traffic posts. The feature is part of a broader UI refresh led by Head of Product Nikita Bier, who's focused on fixing long-standing issues and improving user experience. As rival platforms like Threads gain traction, such refinements aim to help X maintain its core user base. Social Media Today
YouTube Rolls Out Viewer Controls and Gen AI Effects: YouTube has introduced several updates aimed at enhancing viewer experience and creator engagement. A new Hide button for end screens allows viewers to dismiss them during playback, while a redundant subscribe button from the channel watermark on desktop has been removed. In auto-dubbing, YouTube is piloting expressive speech and lip-sync features to improve dubbed video quality. Additionally, generative AI tools are now fully available in Effect Maker, enabling creators to design transformative and interactive Shorts effects using simple prompts and templates. YouTube
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