I recently published academic research in the Quarterly Review of Business Disciplines with Michael Coolsen titled, “Engagement on Twitter: Connecting Consumer Social Media Gratifications and Forms of Interactivity to Brand Goals as Model for Social Media Engagement.” Exciting right?
If you’re a research geek or academic maybe. A social media manager? No way. Yet, I know the findings, specifically our Brand Consumer Goal Model for Social Media Engagement is very exciting for social media pros! So I wanted to write this blog post.
But, as you can tell by the title, an academic audience, and a professional audience are very different. Taking a complicated 25-page academic research article and translating it into a practical and concise professional blog post could take me hours.
I’ve been meaning to experiment with Google’s new AI generator tool NotebookLM so I thought I would try it. Thus, this blog post is about our research on social media engagement framework and how I used AI to streamline my process to create it. As a bonus, I got a podcast out of it!
Using NotebookLM.
Our study was on types of content that generate engagement on Twitter, but the real value of the study was our proposed model for engagement. So before uploading anything into the AI tool, I condensed it to just the theoretical and managerial implications sections. Then I added a title, and journal citation, and saved it as a PDF.
NotebookLM uses Gemini 1.5 Pro. Google describes it as a virtual research assistant. Think of it as an AI assistant helping you explore and take notes about a source or sources that you upload. Each project you work on is saved in a Notebook that you title. I titled mine “Brand Consumer Goal Model for Social Media Engagement” because that is what I wanted to focus on.
Whatever you upload NotebookLM becomes an expert on your information. It uses your sources to answer your questions or complete your requests. It responds with citations, showing you original quotes from your sources. Google says that your data is not used to train NotebookLM, so sensitive information stays private (I would still double-check before uploading).
Source files accepted include Google Docs, Google Slides, PDF, Text and Markdown files, Web URLs, Copy-pasted text, YouTube URLs of public videos, and Audio files. Each source can contain up to 500,000 words, or up to 200MB for uploaded files. Each notebook can contain up to 50 sources. If you add that up NotebookLM’s context window is huge compared to other models. ChatGPT 4o’s context window is roughly 96,000 words.
When you upload a source to NotebookLM, it instantly creates an overview that summarizes all sources and offers key topics and questions to ask. It gives set documents to create such as a FAQ, Study Guide, Table of Contents, Timeline, and Briefing Doc.
You can also ask it to create something else. I asked it to write a blog post about the findings of our research. Which can be seen below. Yet, by far, the most impressive feature is the Audio Overview. This generates an audio file of two podcast hosts explaining your source or sources in the Notebook.
Using Audio Overviews.
There are no options for the Audio Overview so for now you get what it creates. But what it creates is amazing! My jaw literally dropped when I heard it. And it will give you slightly different results each time you run it.
I noticed things missing in the podcast such as the journal and article title and the authors’ names. I did figure out how to make adjustments by modifying my source document. Through five rounds of modifying my source document, I was able to get that information in and more.
Sometimes overviews aren’t 100% accurate. It says, “NotebookLM may still sometimes give inaccurate responses, so you may want to confirm any facts independently.” The running shoe brand following our model in the article was hypothetical. But in a version of Audio Overviews, the podcast hosts talk as if the company did what we said and got real results that we measured.
I was impressed that in other versions it didn’t use my example and applied the model to new ones. One time it used an organic tea company and another a sustainable clothing brand. On the fifth attempt it even built in a commercial break! This last version gave my running shoe example and added its own about a sustainable activewear brand.
What’s really interesting about the last version is that it pulled in other knowledge and applied it to this new information. At the end, the hosts bring up how our model will help you know what to say but that you still need to customize the content appropriate for each social platform. That is a social media best practice but not something we specifically mention in the article.
The Audio Overview Podcast NotebookLM Created.
It’s amazing these podcast hosts discussed our research and explained it so well for social pros. What’s more amazing is that they are not real people! Yet NotebookLM did more. Below is the blog post it wrote. It included our diagram of the model, but had trouble getting it right. So, I replaced the image with one I created from our article.
Brand Consumer Goal Model for Social Media Engagement.
This post examines a model for social media engagement based on an October 2024 study in the Quarterly Review of Business Disciplines. “Engagement on Twitter: Connecting Consumer Social Media Gratifications and Forms of Interactivity to Brand Goals as Model for Social Media Engagement,” published by Keith Quesenberry and Mike Coolsen.
The Brand Consumer Goal Model for Social Media Engagement is a framework to help social pros create more effective plans by aligning brand goals with consumer goals. It emphasizes understanding the motivations behind consumer engagement and tailoring content accordingly.
How the Model Works
The model outlines three key brand goals:
- Building brand community (Reach): This goal focuses on expanding the brand’s audience and increasing awareness.
- Building brand-consumer relationships (Response): This goal aims to foster brand interaction and engagement.
- Building brand-consumer bonds (Recognition): This goal seeks to create brand emotional connections and loyalty.
Each brand goal is associated with a corresponding consumer goal and form of social media engagement as seen in the graphic below. Consumers can manage people’s impressions and persuade others by sharing certain brand posts. They can gain information about a brand with other types of brand content for deliberation. They can bond with others regulating their emotions in evaluating brand posts with other fans.
Here is an example
- A sneaker brand launches a running shoe and aims to build brand community (reach) creating content that appeals to runners’ desire for impression management and persuasion. This could be sharing inspirational stories about runners breaking records encouraging retweets and brand visibility.
- Once awareness is established, the brand could shift its focus to building relationships (response) by providing information about the shoe’s features and benefits, appealing to consumers’ information acquisition goals, and prompting replies and comments seeking further details.
- Finally, the brand can foster brand bonds (recognition) by sharing content that resonates with runners’ social bonding and emotion regulation needs, such as posts about the challenges and rewards of training, which encourage likes and emotional connections.
Key Insights from the Study
The study found that simply using popular content types like videos or photos is not enough to guarantee success on social media. The message accompanying the content is crucial.
Marketers need to consider:
- The target audience’s motivations for using social media
- Buying cycle stage (awareness, consideration, purchase, loyalty)
- Desired word-of-mouth function (sharing, deliberation, evaluation)
The Brand Consumer Goal Model for Social Media Engagement offers a strategic framework for developing effective social media campaigns. By understanding the motivations behind consumer behavior and aligning content with both brand and consumer goals, marketers can achieve better results and build stronger relationships with their target audience.
I hope you found this look at NotebookLM and the insights from our social media research helpful. In what ways do you think NotebookLM can help in your job? How will the insights from our Brand Consumer Engagement Model change your social media content strategy?
Could NotebookLM be a good tool for my students? I believe as long as they use it as a study guide, reinforcement, or tutor and not simply replace the reading and listening in the first place as seen in the graphic below from my previous post on subject matter expertise. Personally was okay with using this tool I co-author and I did the hard work of the research. I was okay with an AI assistant helping translate it into different media for different audiences. The same would apply to my students.
Half of This Content Was Human Created!