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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Research-backed Instagram frequency recommendations
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Facebook just pulled the plug on group chats. Now what?
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A step-by-step framework to use emotional targeting in your content
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5 ChatGPT secret features 99% of users don't know about
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🗞️ Industry news from Gemini, LinkedIn, and more
How Often Should You Really Post on Instagram in 2025?
Buffer's new analysis from over 2 million posts reveals exactly how often small businesses and creators should be showing up to increase reach and gain followers—without overextending themselves.
Curious if 3–5 posts a week could double your growth? Wondering whether posting 10+ times is worth the effort? The answers are all here, backed by real numbers—and written for marketers who want to grow smart, not just fast.
The data points to a clear sweet spot that balances consistency with quality. Even small shifts in how often you post can have a measurable impact on performance. Whether you're maintaining momentum or looking to scale, knowing where the returns start to level off can help you plan smarter. Read more here.
Facebook Groups Strategy Shift
Starting next week, Community Chats in Facebook Groups are officially being retired. In their place? Messenger Communities—a shift that could reshape how marketers and small business owners connect with audiences in real time.
If you've built engagement or support channels inside your Facebook Group, this change isn't just cosmetic. It may impact how you organize group interactions, moderate conversations, or even drive traffic to offers and content.
The question now: Is Messenger Communities a worthy replacement—or a step backward for community-driven marketing?
Whether you're running a niche group, a paid membership, or a customer support hub, it's worth understanding how this update could shift your workflow.
Mari Smith and her community are discussing what this means for your strategy—and what to consider before making the switch. Follow the conversation here.
Ready to Maximize Your Time With AI?
You're already using AI daily, but are you maximizing its potential? Many marketers spend countless hours testing tools that don't deliver results.
"I have been embracing and working with AI for a little over a year... but I know I have only scratched the surface," said Michelle West.
Get expert-curated training instead of endless trial-and-error:
✅ Master AI for video, visuals, and automation
✅ Learn proven frameworks that actually work
✅ Join a supportive community of AI innovators
"These trainings are filling in that gap," said Shannon Caldwell about learning practical implementation.
I'm ready to skip the trial and error.
Emotional Targeting: A Proven Path to More Leads and Sales
The first step in emotional targeting is research, and Talia Wolf emphasizes that this work takes time. It's not a bandage, an easy fix, a tactic, or a hack. This work requires meaningful investment, but if you do it properly, you'll unravel something you can use forever.
The goal is to uncover the top three pains that led people to your website, the top three desired outcomes and emotional outcomes they're looking for, understanding how they feel right now, and understanding how they want to feel in the future once they've found a solution.
To begin, you need to understand your customers' emotional motivations.
Through years of experience, Wolf and her team have identified over 223 different emotional triggers. However, these emotions typically fall into clusters.
The Self-Image Cluster: The first cluster is all about how someone wants to feel about themselves after finding a solution. They want to feel pride. They want to feel smart. They want to feel that they are a better mom, a better marketer, a better version of themselves. This is all related to self-image.
The Social Image Cluster: This second cluster usually comes hand in hand with self-image, especially if you're a service provider or in B2B. Social image is all about how someone wants others to think about or see them after they have a solution. For example, they want other people to think of them as the go-to person in the office. They want other people to think they deserve that promotion. They want people to think that they're smart, that they're a leader, that they're a great mom.
When you start researching, you'll begin noticing when people talk about how they want to feel about themselves versus when they mention other people. They're mentioning people in the office, their neighbor, and significant others in the conversation.
When you start seeing those patterns, you can develop hypotheses about whether your prospects care about their self-image or their social image.
Research Methods That Work
You can conduct several types of research to uncover these emotional drivers.
Customer surveys allow you to directly ask your existing customers about their experiences, but these should focus on emotional drivers rather than feature preferences.
Visitor surveys are tools on your website to capture insights from people who are currently in your funnel but haven't converted.
Social listening involves being a fly on the wall in conversations where your prospects naturally discuss their challenges and desires.
Review mining is one of Wolf's favorite research methods. If you don't have a lot of customers to interview or survey right now, review mining means going to your competitors' products and seeing their reviews. But it's not just your competitors—you can also look at related products on Amazon.
For example, if you're selling courses for training your dog at home, you could go to Amazon and look for books about training dogs because your prospects are probably also learning from books if they want to do their own dog training. If you have accounting software, you could look at reviews for "Accounting for Dummies."
The key is to mine through hundreds of reviews that these books or your competitors are getting to see what people are complaining about, what people love, and what people are missing. You want to see comments like "I wish this book would cover X," " This book didn't really get into this piece, which I'm really missing," or "This book nailed this piece."
When you do this research, you start seeing different ways you can outsmart your competitors and different ways you can talk about your solution. You'll suddenly see that people care about specific things, and you might have a feature that addresses those concerns. You should be talking about this because people care about it.
Review sites exist for almost everything you could imagine. Amazon works for books and physical products. TripAdvisor works for travel services. G2 and works for bigger software products. The key is finding where your prospects are already having conversations about solutions like yours.
How to Use AI for Research Analysis
One of the most powerful applications of AI in this process is analyzing the research you've collected. Depending on the project, Wolf and her team download all of their research and upload it into Perplexity, Claude, or ChatGPT.
They ask the AI to look for specific things. For example, they might say, "Put this information into two buckets: self-image and social image." They pre-feed the AI with definitions of social image and self-image and ask it to categorize the research accordingly.
Other useful prompts include asking AI to "put it into negative and positive," "shine a light on all the conversations and reviews that mention other people," or "highlight all the conversations and reviews that mention X."
If you go in with basic demographic information like age, geographical location, gender, browser, and job title and ask ChatGPT to write great copy, it will be generic and boring.
But if you pour 200 reviews from a book into your AI project and say, "Here's what I need you to do. Dissect this. Tell me about [specific emotional drivers]," then you can get incredible copy because you're feeding it with incredible and golden insights.
Other topics discussed include:
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Why Emotional Targeting Improves Your Marketing Efforts
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How to Audit Your Site and Funnel Through an Emotional Targeting Lens
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How to Test Emotional Targeting in Your Marketing Content
Today's advice is provided with insights from Talia Wolf, a featured guest on the Social Media Marketing Podcast.
Watch the full interview on YouTube
5 Hidden ChatGPT Features for Marketers
Many marketers are stuck in first gear—typing a prompt, copying the answer, and calling it a day. But the ones quietly transforming their workflows? They're using ChatGPT to deliver competitor reports, schedule daily insights, and even analyze their screens in real time.
In this walkthrough, we reveal five advanced ChatGPT features that most marketers scroll right past. No code required. You'll learn how to:
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Edit prompts like a pro (without cluttering your thread)
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Pull live data into your strategy, from news to market trends
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Automate recurring tasks—yes, even while you sleep
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Use your camera to "show" ChatGPT exactly what you're working on
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Protect sensitive projects with temporary, memory-free chats
Watch more here.
Gemini Adds Personalization and Temporary Chat Privacy Mode: Google has updated the Gemini app with new personalization and privacy tools. Users can now allow Gemini to reference past chats for more tailored responses, rolling out first to 2.5 Pro in select countries. A new Temporary Chat mode enables quick, one-off conversations that aren't saved, personalized, or used for training, with data kept for up to 72 hours. The update also introduces renamed and expanded data controls under "Keep Activity," letting users decide how files, photos, and shared audio or video are used. All settings are adjustable at any time for maximum control. Google
Grok Auto-Translate Rolls Out to All U.S. X Users: X has launched Grok's auto-translate feature for all U.S. users, enabling posts in Japanese and numerous other languages to be automatically translated into English. The update is designed to break down language barriers, making global content more accessible and encouraging cross-cultural engagement on the platform. X
LinkedIn Introduces Thought Leader Event Ads for B2B Marketing: LinkedIn has rolled out Thought Leader Event Ads, enabling advertisers to sponsor member posts that link directly to event pages. Aimed at enhancing trust and authenticity in B2B marketing, the format lets brands amplify the voices of executives, creators, and industry experts—with member permission required before promotion. Available globally through Campaign Manager, these ads build on LinkedIn's findings that Thought Leader Ads drive 1.6× higher engagement than single image ads, offering marketers a new way to connect with audiences around key events. LinkedIn
TikTok Adds Avatar-Sticker Mixing in DMs: TikTok has introduced a new messaging feature that lets users blend their personal avatar with stickers in direct messages. JonahManzano via Threads
YouTube Rolls Out Auto-Dub Editing, More Post Images, and Promote Updates: YouTube is adding new creator tools, including the ability to edit videos in Studio that have automatic dubbing enabled, with dubbed tracks automatically recreated to match edits. Editing for manually uploaded multi-language audio will arrive later this year. The platform is also doubling the image limit for community posts from 5 to 10, with rollout across all devices by week's end. Additionally, YouTube Promote campaigns for website visits now allow more specific calls to action, such as "Book Now" or "Contact Us," currently available on desktop. YouTube
What Did You Think of Today's Newsletter?
Did You Know?
The very first jigsaw puzzle was reportedly invented around 1760-1767 by British cartographer and engraver John Spilsbury, who created dissected maps by mounting maps on wood and cutting along country borders to help children learn geography.
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