Today's Guide to the Marketing Jungle from Social Media Examiner...
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It’s National Plum Pudding Day, Reader! Spiced, fruity goodness… mmmm!
In today’s edition:
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🏆 Today's Tip of the Day is for Instagram and Facebook
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🤯 AI Priming: The Secret to Accuracy
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YouTube Shorts Text-to-Speech
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🗞️ Additional Industry News From Instagram and YouTube
Are you watching the right metric to know if your content is performing well on Instagram and Facebook in 2025?
Check Your Non-Followers Count
A higher number of non-followers versus followers is now a primary indicator of content success for IG and FB.
Why? Because when your content resonates with non-followers, it signals that the discovery algorithms are effectively distributing your work to new audiences!
Today's tip was inspired by Mari Smith, a featured speaker at Social Media Marketing World.
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AI Priming: Getting Custom and Accurate AI Output
Wondering why your AI results aren't meeting expectations? Curious about the secret to crafting more effective prompts?
Artificial intelligence (AI) models operate based on three core values, prioritized in this order:
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Harmless (to avoid legal liability)
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Helpful (following instructions)
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Truthful (a distant third)
This hierarchy means that when given insufficient information, AI will try to be helpful by making things up – a process known as hallucination. The solution is to provide more context and information through a process called priming.
Christopher Penn, chief data scientist at Trust Insights, compares priming to preparing and organizing all your ingredients before you start cooking. When you prime an AI model, you're giving it a foundation of factual information to work from rather than leaving it to rely solely on its training data, which may include unreliable sources.
With proper priming, AI can produce legal documents, optimize social media content strategy, and perform SWOT analyses.
How to Use the RAPPEL Framework for Effective AI Priming and Prompting
Trust Insights uses the RAPPEL framework for structuring their AI interactions:
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Role
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Action
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Prime
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Prompt
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Evaluate
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Learn
Role & Action
In the initial role step, you use one to two sentences to tell the AI who you want it to be or what you want it to be. Next, you provide a paragraph or a brief list of four to five items that give a high-level overview of the intended task you want the AI to execute. For example:
1. Role: You are an award-winning social media marketer like Alisa Meredith, who knows Pinterest in and out.
2. Action: Today, we're going to devise a Pinterest strategy.
Now, you can proceed to priming the AI by providing the necessary context to execute your prompt effectively.
Prime Your AI
Data is the most essential ingredient in your AI interactions. Extending Penn's cooking metaphor, think of priming data as your eggs. You're not going to make much of an omelet with half an egg, but you can make a massive omelet with five crates of eggs!
Penn says that about 95% of an effective prompt should be priming data and that if your complete prompt isn't around 5,000 words, you probably haven't given your AI enough priming data to do what you're asking it to do.
You can prime AI models with various types of data:
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PDFs
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Spreadsheets
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Documents
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Web pages
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Video transcripts
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Audio transcripts
Here are three ways to gather data for priming:
Using Internal Documents: Penn recommends using Google's NotebookLM to handle larger datasets. This tool can process multiple sources and create digestible summaries. It is particularly useful for analyzing sales call transcripts, processing court documents, reviewing earnings call transcripts, and analyzing customer feedback.
To achieve this, upload the entire dataset into NotebookLM and ask it to generate focused summaries. You can then use these summaries as priming data in other AI tools.
Using External 3rd-Party Data Sources: Penn recommends focusing on credible sources when using external data. To vet academic or research content, look for DOI (Document Object Identifier) numbers indicating peer-reviewed publications. Tools for finding credible research include:
When using public content for priming, keep fair use limitations in mind. While you can use 3rd-party articles or posts to inform AI about ideas and best practices (similar to how a human would learn from reading), creating derivative works by having AI rewrite content in your voice would violate intellectual property rights.
Generated Knowledge Through Questioning: If you don't have specific internal or 3rd-party data to upload or you need to provide more data, you can have the AI generate its own context through a series of questions and conversation:
1. "What do you know about best practices for this topic?"
2. "What common mistakes do less experienced folks in this topic make?"
3. "What expert tips and tricks are there about this topic that we have not talked about yet?"
This approach typically generates 1,500-2,500 words of context that helps focus the AI on your subject domain.
Prompt, Evaluate, & Learn
After priming, the prompt should follow a specific structure with step-by-step guidance for how the AI should think through the task.
1. You're going to use the knowledge base we've built to create a Pinterest Strategy.
2. Recite back my instructions for me to explain to me what it is we're doing.
3. Identify the key points of a Pinterest strategy.
4. Explain why you chose those points for this Pinterest strategy.
5. Give me my Pinterest strategy in full.
When you receive the output, assess whether it meets your requirements and provide corrective instructions until the desired result is achieved.
Finally, ask the AI to write comprehensive prompt instructions to replicate the process. Documenting the entire process streamlines future iterations of similar tasks, as these instructions are used across various platforms as a custom GPT in ChatGPT, a project in Claude, or a gem in Gemini.
Today's advice provided with insights from Christopher S. Penn, a featured guest on the AI Explored podcast and speaker at Social Media Marketing World.
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Instagram Will Use Edits App to Test New Creative Tools: Per the Head of Instagram, “We want to make sure that there are the best possible creative tools for making not only Reels but [for] photos both in the Instagram app and then for video in the Edits app. They’re built on the same codebase, and you’re going to see probably new features be tried first in the Edits app first over time, and the ones that work, we’ll probably integrate into the main app.” Source: @Mosseri via @Oncescuradu on Threads
YouTube Details Milestones and Focus for 20th Birthday Year: YouTube TV has achieved more than 8 million subscribers, while YouTube Music & Premium has surpassed 100 million subscribers including trials. Television has surpassed mobile devices as the primary platform for YouTube viewing in the United States, with Nielsen reporting YouTube as the leader in streaming watch time for two consecutive years. Users are watching over 1 billion hours of YouTube content on televisions daily, with the platform expanding features like Watch With for live commentary and real-time reactions. YouTube has become the most popular service for podcast listening in the United States, with plans to enhance podcast tools, creator monetization, and content discovery. More than half of channels earning five figures or more on YouTube generated revenue from sources beyond traditional advertising and Premium subscriptions last year. Auto dubbing technology has proven successful, with more than 40% of total watch time for dubbed videos coming from viewers choosing to listen in translated languages. The platform plans to integrate Veo 2 into Dream Screen. Source: YouTube
YouTube Profile Cards: The platform is updating the feature on Studio mobile to match recent app updates, maintaining the same functionality while introducing a modernized look. The profile card updates are being rolled out to all creators this week. Source: YouTube
YouTube Shorts Text-to-Speech Available on iOS: The text-to-speech feature allows creators to add text to their Shorts and have it narrated, with control over the visual text's start and endpoint. Creators can select from four different voices for the narration. Source: YouTube
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