Is Claude Better Than ChatGPT for Analysing Event Data?

The event is over. Now you're staring at the aftermath: ticket sales, a budget that drifted from plan, 300 half-finished feedback responses, and a sponsor asking what they actually got for their money.

Somewhere in all of that are the answers to the two questions that matter most:

→ Did this work?

→ What should we change next time?

You want those answers today, not next week.

So you open an AI chatbot. But which one should you use: Claude or ChatGPT?

Here's the honest answer: Neither wins across the board. They each have strengths, and the better choice depends on what your data looks like and what you need to get from it.

For most event planners, this isn't really about picking one AI and sticking with it forever. It's about knowing which tool makes more sense for the job in front of you.

ChatGPT tends to be the stronger choice for analysing structured data and working with spreadsheets. Claude tends to stand out when you're dealing with large amounts of messy, text-heavy information.

And sometimes, either one is enough.

Where ChatGPT Tends to Win

If your event data lives in a clean spreadsheet, ChatGPT is often the easier choice.

This can be:

→ Ticket sales by tier

→ Spend by category

→ Attendance by session

→ Registration numbers

→ Revenue by ticket type

You might ask:

Which ticket tier generated the most revenue, and when did sales start to slow down?

Or:

Compare my budget to actual spend and show me where I went over.

For this kind of analysis, ChatGPT's data-analysis capabilities are useful because they can work directly with structured data, calculate totals and trends, and turn the results into charts.

So if you're looking at a clean spreadsheet and need answers fast, ChatGPT is a strong option.

Where Claude Tends to Win

Claude becomes more useful when your data is less tidy.

Event data isn't always rows and columns. Sometimes it's hundreds of open-ended survey responses, sponsor briefs, post-event notes, feedback documents, and years of records that need to be compared. And this is where Claude tends to stand out.

You could give it a large set of attendee feedback and ask:

What are the three biggest complaints, what are attendees consistently praising, and what should we change before the next event?

Instead of giving you a list of comments, you're asking it to find the patterns underneath them.

It's also useful when you need to turn a pile of information into something readable, like a post-event summary for your client, leadership team, or sponsors.

So Which One Should You Use?

Here's the simple version:

→ Crunching a clean sales or budget spreadsheet and want charts: ChatGPT

→ Analysing hundreds of open-ended feedback responses: Claude

→ Synthesising a large set of briefs, notes, or event documents: Claude

→ Turning raw findings into a clear recommendation or write-up: Claude

→ Running a quick calculation or answering a simple question: Either

The important part is matching the tool to the task.

And because both tools keep changing, test them with your own event data before building your entire workflow around one.

The Catch Nobody Talks About

Whichever AI tool you choose, you're still doing the same work first.

You export the data → You clean it → You upload it → You explain what the event was.

Then you ask your questions. And the next time you need an answer, you do it all over again.

Your AI tool doesn't automatically know your ticket sales, budget, guest list, tasks, or feedback history. You become the person connecting all the dots.

That's where a lot of the time goes.

Where Mingloft Changes the Workflow

But what if you didn't have to export everything first?

What if your event data already lives in the same place as your tickets, budget, tasks, guest list, and feedback? You get to skip the export-clean-upload loop, right?

Well, that's the approach we've taken with Aria inside Mingloft.

Instead of you pulling data out of different tools before asking a question, your event data is already there.

So you spend less time preparing the data and more time figuring out what it means. Because analysing event data isn't the goal. Using it to make better decisions is.

The Best AI Depends on the Job

Claude and ChatGPT are both useful for event data. The better choice depends on what you're working with.

But why would you still be spending so much time moving event data into an AI tool before you can analyse it?

That's the problem worth solving. And that's the problem we're fixing.

Ready to stop exporting spreadsheets to answer basic questions about your own events? Start free on Mingloft.

And if you want to see where AI genuinely earns its keep in a planner's week, read this next.