Today's Guide to the Marketing Jungle from Social Media Examiner...
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New week, fresh insights, Alluser! Stay sharp with the latest updates on AI, social media marketing, and emerging trends. Here's what you need to know.
In today's edition:
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Enhancing Reels for global audiences
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You need to check your bid settings on LinkedIn, right now
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YouTube Updates: Collaboration Tools, A/B Title Testing, Shorts Features, and More
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AI tool stacks for KPI reporting at beginner, intermediate, and advanced levels
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🗞️ Industry news from OpenAI and Google
Automatic Reels Translation
Is your audience made up of segments that speak different languages? Wish you could deliver Instagram Reels that instantly speak your audience's native languages?
Lucas O'Keefe found that Instagram is quietly rolling out a new voice translation feature for Reels that could change how you reach global audiences. When enabled, it can automatically translate spoken content into other languages, expanding reach and improving engagement.
For marketers, especially those already experimenting with AI tools, this could mean turning a single video into a multilingual campaign without extra production time.
In this post, Brock Johnson also shares his insights on translation quality and accuracy from his early testing. Read more here.
The LinkedIn Ad Setting That Could Tank Your ROI
Are you targeting a small audience on LinkedIn? Are your LinkedIn campaigns burning money faster than you can earn it?
AJ Wilcox recently reviewed a client's campaign and he's sharing what he found behind the scenes plus how to stop it, so you don't spend thousands for a single lead.
You'll find out how automated bidding can go spectacularly wrong when audience size and budget expectations collide in the worst possible way. Read more here.
Don't Get Left Behind in 2026, Alluser!
The marketers who resist change don't just fall behind—they become irrelevant. But the ones who embrace shifts in AI, Instagram, and video marketing? They're thriving.
"I realized had I not gone, there would be a good chance my business, the way I was operating, would of been obsolete. I am so far ahead of so many people because Michael Stelzner only brings the BEST to teach!" said marketer Melanie Miller.
Right now, we're at another inflection point. AI isn't coming—it's here. The marketers who master it first will have an enormous advantage over those who wait.
Social Media Marketing World brings together forward-thinking marketers ready to thrive in change, not just survive it. Join thousands in Anaheim, April 28-30, 2026.
I'm ready to embrace what's next.
On this week's Social Media Marketing Talk Show, host Jerry Potter and Jessica Stansberry break down the latest YouTube news and what it means for marketers like you.
Test and Compare Titles with A/B Testing
YouTube has introduced A/B title testing, expanding beyond the existing thumbnail testing feature that creators have been using for some time. This new capability allows creators to test two different titles for the same video and measure which performs better based on actual viewer data.
The title testing feature works exactly like the current thumbnail testing system. You can upload two different titles for the same video, and YouTube will automatically split your audience to show each title to different viewers. The platform then measures what percentage of views came from each title variation and allows you to either let the system pick the winner automatically or manually select which title you want to keep.
This feature addresses a common anxiety many creators face when uploading content. As Jessica explains, "Every time I upload, I'm like, all right, search title or click title search." The decision between creating a keyword-heavy title for search optimization versus a more engaging, clickable title has been a persistent challenge. With A/B testing, creators can now test both approaches simultaneously.
The testing system measures success based on watch time, similar to thumbnail testing, rather than click-through rates. While some creators might prefer click-through rate as a metric since it more directly measures the effectiveness of the title itself, YouTube's focus on watch time aligns with their broader business model of keeping viewers on the platform longer.
This capability eliminates the need to choose between search-optimized titles and engagement-focused titles during the upload process. Instead of making an educated guess about which approach will work better, creators can test both variations and let the data determine the winner. The feature represents a significant step forward in making content optimization more scientific and less dependent on intuition.
For businesses and marketers, this means you can test different messaging approaches, keyword strategies, and value propositions within your titles to see what resonates most with your target audience. The ability to test titles removes much of the guesswork from content strategy and provides concrete data about what language and approaches work best for your specific audience.
Enhanced Audience Segmentation Tools
YouTube is introducing more sophisticated audience segmentation categories that go beyond the traditional "new" and "returning" viewer classifications. The enhanced system will include "casual viewers" who watched content for one to five months out of the past twelve months, and "regular viewers" who watched for six months or more during that same period.
The "regular viewers" category will replace the current "returning viewers" metric, providing more granular insight into audience loyalty and engagement patterns. This change allows creators to better understand not just whether someone has watched their content before, but how consistently they engage with the channel over time.
These new categories address a significant limitation in YouTube's current analytics where the "returning" designation could apply to someone who watched two videos ever or someone who watches every upload. The enhanced segmentation provides much more meaningful insight into actual audience behavior and loyalty levels.
Jessica highlights the value of being able to categorize new viewers more precisely, noting that you can actually examine different levels of "newness" within the new viewer category. This granular analysis helps creators understand their audience development patterns and identify which types of content successfully convert new viewers into regular followers.
For businesses, these enhanced segmentation tools provide better insight into customer loyalty and engagement cycles. Rather than simply knowing that someone is a returning visitor, marketers can now understand whether they represent a casual browser or a highly engaged prospect who consistently consumes their content.
The new segmentation particularly benefits businesses with longer sales cycles where the relationship between first contact and conversion might span many months. Understanding whether viewers are developing into regular audience members helps predict potential customer lifetime value and informs content strategy decisions.
The enhanced analytics also provide better insight into content performance across different audience segments. Creators can analyze whether certain types of content better appeal to casual viewers versus regular viewers, helping them optimize their content mix for different audience development goals.
This segmentation improvement aligns with YouTube's broader shift away from subscriber counts toward more meaningful engagement metrics. The platform increasingly recognizes that a smaller audience of highly engaged viewers often provides more value than a large audience of casual subscribers who rarely engage with new content.
More Features, Tools, Changes, and Updates Discussed Include:
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YouTube Collaboration Feature
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Channel Insights Sharing for Brand Partnerships
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Updated Monetization Rules Around Profanity
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AI-Powered Age Protection and Verification
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Advanced Analytics Mode Redesign
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Ask Studio AI Analytics Assistant
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Generative AI Tools for YouTube Shorts
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Sync Imported Shorts to Music
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Expanded Feature Rollouts Across Regions
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Maximizing These YouTube Updates for Your Content Strategy
Watch it on YouTube
Using AI in Your KPI Reporting
AI can crunch numbers and spot patterns faster than any spreadsheet—but if you're asking it to "analyze your KPIs," you're probably missing the mark. This Trust Insights post from Katie Robbert and Chris Penn reframes how to use AI in performance analysis.
You'll learn how to align the right AI tools with your real goals, streamline reporting with smarter processes, and avoid over-engineering platforms you don't need yet.
Whether you're still exporting CSVs or dabbling with predictive models, this post walks you through how to get results without getting overwhelmed. And yes—ChatGPT can play a meaningful role if you give it the right job. Read more here.
OpenAI debuts GPT‑5: OpenAI has launched GPT‑5, positioning it as their most advanced model yet, equipped to tackle complex tasks—from coding and writing to health advice and visual reasoning—via a smart router that selects between quick answers and deeper "thinking" responses. The higher-tier GPT‑5 pro option promises extended reasoning power for expert-level performance. Across benchmarks, GPT‑5 delivers substantial improvements in accuracy, honesty, and reduced bias or flattery, while introducing four personality presets—Cynic, Robot, Listener, and Nerd—to tailor conversation style. The rollout began on August 7, 2025, offering access to Free, Plus, Pro, and Team users, with Enterprise and Education versions to follow. OpenAI
Google Responds to Concerns About AI Search Effects on Traffic: Despite rising concerns, Google confirms that the volume of organic traffic from Search to websites remains consistent year-over-year, with an overall increase in high-quality clicks—those where users stay longer without immediately returning. The introduction of AI Overviews has encouraged users to try more complex and longer queries and exposes more links per result, giving websites more visibility and click opportunities. While straightforward questions may be answered directly, users often click through to explore richer content such as in-depth reviews, personal analysis, and forums. Traffic is shifting toward authentic, engaging formats, and Google emphasizes that its AI experiences are purposely designed to enhance—not replace—the open web, featuring transparent source attribution and adherence to web standards. Google
What Did You Think of Today's Newsletter?
Did You Know?
Medieval iron gall ink, a primary pen ink from the Middle Ages into the 19th century, was made from oak galls, iron sulfate, water, and gum arabic as a binder. This ink was inherently corrosive and would often cause damage to paper over time. Iron gall ink's signature feature is that it starts as a bluish-black color and ages to a rusty brown.
Michael Stelzner, Founder and CEO
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