✋ Happy Friday SuperMarketers!

AI is the great equalizer.

Everyone now has the ability to assume any role, and leverage any skillset — writing, design, editing, coding, and data analysis.

Today we’re going to dive into the analysis element, with ChatGPT’s Advanced Data Analysis.

This feature allows users to upload data directly to ChatGPT and then analyze the data directly.

Beautifully simple, and crazy powerful.

Advanced data analysis has become an indispensable tool for marketers to understand customer behavior, identify trends and opportunities, optimize campaigns, and provide data-driven recommendations.

And with recent ChatGPT developments, you can analyze data, visualize data, and write a blog post about it, all in the same thread!

Let’s see how…

💡 Strategy: Data-Driven Decision Making for Content Mastery

The real magic of ChatGPT’s Advanced Data Analysis is that it becomes magically easily to upload data and identify trends or opportunities.

This can save a ton of time from poring through data, but also allow you to make quantified decisions much more easily.

For example, suppose you upload your Google Search Console Data. You can spot trends and patterns of where you may want to focus your time — on a topic that is driving outsized returns on converting visitors into leads. That’s a pattern that is worth focusing on.

It's all about turning numbers into a strategy that grows your business, and that’s what Advanced Data Analysis enables.

At a high level, there are three ways that you can use Advanced Data Analysis.

1. Synthesize: To bring different data sets together for analysis. An example here would be uploading marketing data for insights, say from Google Analytics, Search Console, your paid ads campaigns, and more. You can analyze the data in seconds, identifying ROI, opportunities, sentiment analysis, etc.

2. Transform: To reshape information from documents without changing its essence. For example, you could upload a few transcripts, ebooks, blog posts, voice transcripts, and ask for a simplified summary or rewrite it for your marketing content.

3. Extract: To pull information from files. What’s helpful here is uploading a text transcript of a podcast to identify key points to use for short form content. This used to take a long time to comb through the text, but now can be completed in seconds.

PS: make sure that you have Advanced Data Analysis enabled:

🔍 Use Case: Improve Your Content by Analyzing Performance Metrics

Analyzing your content performance is a great way to understand what truly resonates with your audience.

Imagine each click, like, and conversion as a piece of feedback – a guide to what your audience wants more of.

By staying attuned to these signals and adapting your content accordingly, you transform your strategy from a guessing game into a targeted, audience-driven approach.

This continuous loop of analysis and adaptation is the secret sauce to crafting content that not only engages but also converts.

Here are some ideas to analyze once you’ve uploaded data:

• Analyze Key Metrics: Focus on click-through rates, engagement levels, and conversion rates.

• Content Types: Identify which forms (articles, videos, infographics) are most engaging to your audience.

• Trend Analysis: Look for patterns in audience interactions and preferences.

• A/B Testing: Implement tests to compare different content versions.

You can include these analyses in your regular reporting, and adjust content topics, formats, and distribution based on these insights.

🤖 Prompt: Double Down on What’s Working

A few ideas of prompts that you can use alongside your data for:

Social Media Engagement:

You can upload the analytics of your social posts to identify what types of content or posts had the best engagement, and create more of those.

Prompt: "Which posts generated the best engagement based on the uploaded data. In a table format, provide the post, the topic of the post, and ideas for 3 related posts that I can create from this."

The goal here is to analyze social media data to determine which content types are resonating with your audience. Engagement can be measured in likes, shares, comments, and overall reach, however you define it (and pass along to ChatGPT). By understanding what is resonating most, you can tailor your content strategy accordingly.

Content Marketing Effectiveness:

If you upload Google Analytics or Search Console data or keyword data, you can get an analysis of which content is working well (particularly if you have conversion data included).

Prompt: "Which of our content pieces are performing well, in terms of traffic and conversions. What are the common characteristics of these top-performing pieces? List the search terms, and related content ideas that I can create "

This analysis can help you identify patterns in these top-performing pieces, such as specific keywords, topics, content length, format (blog post, video, infographic), and user engagement metrics (click-through rates, time on page). This analysis will help uncover what makes these pieces successful, guiding you to replicate these characteristics in future content creation to enhance your content marketing strategy's effectiveness.

🔬Experiment: Visualize Your Data with ChatGPT

Advanced Data Analysis is not just for analyzing, but also creating visuals. This can be a helpful asset to include in presentations, posts, webinars, etc.

Suppose you are analyzing your content data. Some ideas of what you can create:

• Bar Charts: Measure content performance across platforms.

• Pie Charts: Gauge content distribution's impact on conversions.

• Line Graphs: Track engagement trends to finesse content timing.

• Tables: Organize keyword metrics to prioritize SEO strategies.

• Histograms: Assess content reach and website performance.

• Scatter Plots: Examine intricate engagement data relationships.

Here’s an example of a histogram, showing years of marketing experience against monthly budget (unfortunately not any correlation, as it was dummy data 😃)

📖 Resources: AI Content Heist & How People are Using ChatGPT

Jake Ward, Founder of AI writing tool ByWord, shares great insights on how he is driving traffic with AI generated content.

And it is a great marketing strategy, as it is Byword that is at the core of his strategies.

He recently went viral, and created a lot of controversy, with his ”SEO heist”:

The strategy is astonishingly simple, as he shares it:

1. Exported a competitor’s sitemap

2. Turned their list of URLs into article titles

3. Created 1,800 articles from those titles at scale using AI

18 months later, we have stolen: - 3.6M total traffic - 490K monthly traffic

Here’s the thread:

I always love to see how others are using ChatGPT effectively.

Patrick Campbell started a good convo thread on Twitter: how are people actually using ChatGPT?

Some answers:

• Spreadsheet analysis (see above 😉)

• Creating first drafts

• Research

• Standard Operating Procedures

Have you outsourced any tasks completely to ChatGPT?

That’s it for this week…..until next week, stay Super, Marketers.

Gen