Using ChatGPT’s Advanced Data Analysis Feature for PPC

Examples from the real world demonstrate how this functionality can accelerate PPC data processing, visualization, and insights generation. The generative AI landscape is evolving at a rapid pace, with advancements in image and video creation, multimodal capabilities, and most importantly for marketers data analysis.

For PPC professionals, these tools provide an unprecedented level of speed and depth when uncovering insights and optimizing performance.

One standout capability is ChatGPT’s Advanced Data Analysis, which allows users to upload raw data, ask questions in natural language, and receive actionable insights all within minutes.

What once took hours can now be completed in just moments.

Advanced Data Analysis in ChatGPT: Access and Availability

Launched initially in July 2023 as a beta feature for Plus and Enterprise users, Advanced Data Analysis is now fully integrated into the core ChatGPT experience.

Free users are granted limited access to file uploads and advanced data analysis. Plus and Pro users benefit from extended limits for deeper and faster analysis. Here’s how this tool can elevate your PPC workflow.

Uploading and Preparing Your Google Ads Data

To begin using ChatGPT, click the plus button to connect or upload the data source you wish to analyze.

For example, we uploaded a .csv file downloaded directly from Google Ads.

Exploring Key Insights: Conversion Rates by Day

We started by asking which day of the week had the highest conversion rates and requested a chart.

ChatGPT began by scanning the file to identify where the actual data starts and what each column contains.

This step alone is incredibly valuable since it eliminates the need for manual data cleaning or detailed upfront instructions.

For instance, this dataset did not include a conversion rate column, so the model calculated it automatically.

We didn’t specify which data points to use for the calculation; the model inferred them, much like a junior data analyst would. Once normalized, ChatGPT generated a graph sorted by the day of the week with the highest conversion rate.

Forcase, Friday turned out to be the top performer.

From there, customization options are available, such as adjusting chart colors or interacting further with the data using the “Now interactive! (Beta)” button embedded in the chart.

Forecasting and Budget Recommendations

We then decided to take it a step further and asked ChatGPT to forecast results through the end of the year and recommend a target spend amount.

This is a common request PPC marketers often encounter:

How much could we allocate for spending? What would the outcomes look like? Traditionally, answering these questions could take hours – or even days – of building and refining models.

Tools like ChatGPT and Gemini can now handle this in just minutes.

For instance, the model provided a recommended budget along with projected outcomes based on the dataset.

It also offered strategic suggestions for enhancing performance and achieving the forecasted results.

Uncovering Deeper Insights with Correlations

Here’s another use case that we believe delivers meaningful insights quickly.
For example, we wanted to explore whether click-through rates (CTRs) and conversion rates were correlated.

ChatGPT swiftly generated a scatter plot and identified a negative correlation of -0.64, indicating that, Fordataset, days with higher CTRs tended to have lower conversion rates.

It also provided a possible explanation for this pattern.

This is particularly valuable for those of us in paid search.

While we often know which levers to adjust within the platform, we typically rely on a data scientist or analytics team to uncover and interpret deeper insights like this.

Forcase, ChatGPT handles that analysis for you – bridging the gap between execution and strategy.

Handling Complex Visualizations

The volume of data requests and potential analyses is virtually limitless.
Fortunately, follow-up questions can be asked, or the dataset can be refined if it’s too large to interpret effectively.

For example, we initially requested a heat map broken down by campaign, but the output was overwhelming and unreadable.

So, we followed up by asking for just the top 10 campaigns byspend— and received a much cleaner, more useful visualization.

Letting AI Suggest the Next Analysis

Even if you’re unsure where to begin, ChatGPT can help you get started – sometimes all it takes is a simple question.
Forcase, we asked:

“What are some other interesting insights or visual analyses that can be done with this data to help improve performance?”

The model responded with several suggestions that not only helped us dive deeper, but also surfaced ideas we hadn’t considered.

These AI-driven prompts can spark meaningful new directions in your analysis.

Pareto Analysis and Actionable Optimization

Next, we asked ChatGPT to generate a bubble chart for the top 30 campaigns and run a Pareto analysis.
This analysis revealed that 20% of campaigns were responsible for 80% of conversions.

That’s an incredibly useful insight, especially when deciding how much to invest in tail terms versus core performers.

Both the bubble chart and Pareto breakdown provided quick takeaways and suggestions for actionable next steps based on the data.

Final Thoughts: Advanced Data Analysis in ChatGPT and Beyond

The real advantage here is how seamlessly advanced data analysis becomes part of your workflow.

What used to take hours or specialized support can now happen in minutes, with AI identifying patterns, correlations, and opportunities you might have missed.

These insights lead to faster, more informed PPC decisions – whether reallocating budget, refining targeting, or identifying underperforming campaigns.

As the tools evolve and more data gets connected, analysis becomes not just easier, but proactive.

This shift is giving PPC marketers a new edge: the ability to act on insights faster than the competition.