Today's Guide to the Marketing Jungle from Social Media Examiner...
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Here's a recap of the most important insights, trends, and updates you need to know about today, Alluser! Catch up in minutes and go into the rest of the week prepared.
In today's edition:
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Smarter, scalable creator collaborations on YouTube
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Facebook updates for marketers
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5 Steps to train AI to write high-converting copy
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🗞️ Industry news from OpenAI, YouTube, and more
Brand Partner Access on Youtube
What if you could access real-time performance data and run ads on your creator partner's YouTube videos—without waiting on screenshots or reports?
That's exactly what YouTube's updated Brand Partner Access delivers. This isn't just a new name for what was previously called creator linking—it's a more efficient way to collaborate with creators you trust. With creator permission, you can now view key video performance metrics directly in Google Ads and launch partnership ad campaigns that extend your message across YouTube and Google's platforms.
For brands working with influencers or building out a creator strategy, this means faster insights, clearer ROI, and streamlined workflows. You'll get data like watch time, engagement, and viewer demographics without having to chase it down—making it easier to optimize content performance and justify spend.
Want to see how it works and why it matters for your next campaign? Watch more here.
On this week's Social Media Marketing Talk Show, host Jerry Potter breaks down the latest Facebook news and what it means for marketers like you.
Mobile-First Content Protection Tool for Reels
If you create original Reels, you may know the frustration of having your content stolen or reposted without credit. Facebook has launched a new Content Protection tool within the Professional Dashboard.
This mobile-first tool automatically detects when your Reels are posted by others across both Facebook and Instagram. When a match is found, you have three options:
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Track: Monitor the performance of the reposted content.
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Block: Remove the content immediately.
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Claim Attribution: Allow the content to remain up but add attribution pointing back to you.
If you manage multiple accounts or work with partners who legitimately repost your content, you can add them to an allow list. This ensures their posts aren't flagged, saving you from having to manually review authorized usage.
Creator Partnership Insights
In the past, choosing a creator often relied on trust and surface-level metrics like follower count. A new AI-powered tool in the Partnership Ads Hub now removes that guesswork by allowing you to view performance insights for a creator's organic content. You can see granular data—likes, comments, and shares—to determine exactly which posts are resonating before you commit budget to boost them.
The workflow for securing usage rights has also been simplified. New ad code sharing capabilities allow creators to proactively give advertisers permission to use their content. Instead of complex back-and-forth negotiations, a creator can simply provide an ad code once the content is live, allowing you to run the ad immediately.
Furthermore, the pool of available talent is growing. Creator eligibility has expanded to include Facebook profiles using Professional Mode, meaning you are no longer limited to partnering solely with business pages.
Content Strategy Calls Included With Meta Verified Max
A new tier for Meta Verified gives you a strategy call with Meta's content team every 6 months to help optimize your content strategy.
While this sounds valuable, Jerry advises us to approach it with caution; seasoned marketers often find they have more expertise than the general support staff provided in these programs. Make sure the other benefits justify the cost before upgrading.
Other topics discussed include:
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Redesigns for Feed Layout, Post Creation Workflow, Search
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Converting Private Groups to Public
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Member Using Nicknames in Groups
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Advantage+ Leads Campaigns and CRM Integrations
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Updated Profile Features
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Date Set for Sunset of Like & Comment Website Plugins
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Centralized Account Recovery Support Hub
How to Write High-Converting Copy with AI: A Strategic Framework
How to Uncover Unique Audience Insights With AI
Great copy doesn't start with writing; it starts with understanding who you are writing for. To create high-converting assets, you must tap into your customers' specific pain points, fears, motivations, and desires.
When interviewing clients, you need to move past surface-level answers. Audrey Chia recommends asking specific questions to uncover their emotional state:
Instead of manually taking notes, you can use AI to streamline this research process. Use AI note-taking tools like Fireflies or Sybil during client calls to transcribe conversations automatically.
Once you have these transcripts, feed them back into an AI tool like ChatGPT. Ask the AI to act as an expert content strategist and extract the common insights and golden threads across your interviews.
Look for specific, emotional language rather than surface-level problems. These raw, emotional insights allow you to craft messaging that truly connects with your reader.
I'm going to give you several interview transcripts from real client conversations. Act as a senior content strategist and customer-insight analyst. Your job is to extract the deep insights—not surface-level answers. Focus on patterns, emotional language, frustrations, desires, and motivators that show up across the interviews. Please analyze the transcripts and deliver the following: 1. Core Emotional Insights Pull out specific phrases clients use that reveal real emotions (fear, frustration, hope, urgency). Highlight where they express confusion, overwhelm, or unmet needs. 2. Golden Threads (Recurring Themes Across Interviews) Identify the themes that appear repeatedly, such as: Consistent challenges Shared goals Common objections Repeated desires Language they keep using These should represent the deep truth of their mindset. 3. Shift the Insights Into Messaging Angles Based on what clients said, propose 5–10 high-impact messaging angles, such as: What they really want What they're trying to avoid What makes them feel unsafe What makes them feel confident How they define success Each angle should include a short explanation and a sample headline or key message. 4. Extract Voice-of-Customer Language Pull verbatim quotes that could be used in marketing copy. Organize these into categories: "Pain language" "Desire language" "Objection language" "Outcome language" 5. Identify Missed Signals Tell me what prospects wanted but didn't say explicitly. Point out gaps between what clients ask for and what they actually need. 6. Provide a Final Insight Summary A concise synthesis of the most important takeaways that should shape the brand's messaging, offers, and content strategy.
This approach allows you to rapidly develop and test content at scale.
For example, a crowdfunding charity in Singapore used this method to launch its first advertising campaign. By using AI to develop messaging angles tied to clear audience insights, they were able to rapidly test different ad variations. The result? In less than three months, they grew their return on ad spend (ROAS) from $1 to $7.
Other topics discussed include:
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Conducting Comprehensive Competitive Research With AI
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Defining Your Core Value Proposition With AI
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Training AI to Master Your Brand Voice
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Dictating the AI's Output Structure
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Creating a Repeatable AI Copywriting Workflow
Today's advice provided with insights from Audrey Chia, a featured guest on the AI Explored podcast.
OpenAI Launches GPT-5.2 with Major Upgrades in Reasoning, Coding, and Vision: OpenAI has released GPT‑5.2, a significant advancement in its model lineup aimed at professionals handling complex, multi-step tasks. GPT‑5.2 Thinking and Pro demonstrate superior reliability, fewer hallucinations, and better performance in spreadsheet modeling, agentic workflows, and front-end development. It is now available to all paid ChatGPT users and developers via the API, with pricing reflecting its enhanced capabilities. The rollout began on December 11 across Plus, Pro, Business, and Enterprise plans. OpenAI
Meta Adds AI Tools to Boost Creator-Brand Ad Campaigns: Meta is rolling out new AI-powered tools in its Partnership Ads Hub to help advertisers more easily convert organic creator content into scalable, high-performing ads on Facebook and Instagram. Key updates include deeper performance insights for evaluating creator posts, a new Facebook Partnership Ads API to streamline branded content integration, and an expansion of eligible creators to include professional mode profiles. In addition, new features simplify ad permissions, allowing creators to share ad codes proactively with brands. These upgrades aim to improve efficiency, expand creator access, and drive measurable results through more authentic partnerships. Meta
Pinterest Moves into Connected TV Performance Advertising with tvScientific Acquisition: Pinterest has agreed to acquire tvScientific, a connected TV (CTV) advertising platform that specializes in performance‑based and outcome‑oriented ad buying. The acquisition will allow Pinterest to extend its AI‑powered advertising capabilities into connected television, integrating tvScientific's technology with Pinterest's intent‑rich audience data to give marketers improved measurement and attribution across screens. The deal, expected to close in the first half of 2026 pending regulatory approval, will see tvScientific operate under its own brand while contributing to Pinterest's broader performance advertising suite. This move marks a strategic expansion for Pinterest as it builds multi‑channel performance solutions for advertisers beyond its visual discovery platform. Pinterest
YouTube Expands Voice Replies to Comments in Studio App: YouTube has expanded its voice replies experiment to include the YouTube Studio mobile app, allowing more creators to respond to comments using 30-second audio messages. Originally available only in the main YouTube app, the feature now gives eligible creators the option to record replies via a new sound wave icon in the comment section. Although only those in the test group can post voice replies, all users can hear them, as YouTube continues testing more expressive ways to foster creator-audience interaction. YouTube
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