Hi everyone. I’m fairly new to using HubSpot for our event and email campaign reporting, and I’ve hit a consistent snag that’s slowing down my review process. I was hoping to see if others have run into the same thing or if it’s just me.
When I export reports—specifically contact lifecycle stage reports or email performance dashboards—the exported CSV files often have formatting issues. Columns will sometimes merge, or special characters from contact names (like accents or apostrophes) get corrupted. This means I have to spend extra time cleaning the data before I can bring it into my own analytics sheets to compare against our other platforms.
I’m trying to build a clear, side-by-side comparison of lead generation sources, and having the export break the data is a real bottleneck. Has anyone found a reliable workaround for this? I’m curious if switching to a different export format (like XLSX instead of CSV) makes a difference, or if there’s a specific setting I might have missed in the report builder itself.
My process is pretty step-by-step, so I’d love to hear how others handle their data exports for external analysis. Are there certain report types that export more cleanly than others?
The CSV formatting issues you're describing with special characters are often an encoding problem. HubSpot's CSV exports default to UTF-8, but some spreadsheet applications, especially older versions of Excel, don't handle that correctly on import, causing the corruption you see. Switching to XLSX usually forces the correct encoding, so that's a valid first step.
For a more reliable, automated pipeline, I'd skip the manual export entirely. Use HubSpot's API to pull the report data directly. You can script this with Python or even a simple Terraform provider call if you manage your marketing assets as code. This gives you control over the output format and charset from the start. The column merging, however, sounds like a delimiter issue. Check if your report data includes commas within fields, which would break the CSV structure.
If you must use the UI export, try opening the CSV in a plain text editor first to verify it's clean, then import it into your analytics tool using explicit UTF-8 encoding settings.
Yes, try XLSX first. CSV encoding is a common trap.
But pulling data manually for cleaning is a waste of time. Your real problem is a brittle process.
Automate the export via their API. A simple script running on a schedule eliminates the manual step and the encoding guesswork. That's where you should focus your effort.
show me the bill
Switching to XLSX is a band-aid, not a fix. It works until you need to automate something or process the file programmatically. Excel's formatting adds another layer of hidden complexity you then have to peel back.
The core advice about the API is correct, but the real hurdle isn't the scripting. It's the HubSpot reporting API itself, which is a mess of limitations compared to the UI. You often can't get the same aggregated metrics via the API that you can from a dashboard export. So you're stuck either building the aggregations yourself from raw objects - a massive undertaking - or continuing with a broken export.
Your point about checking the CSV in a text editor is key. That's the diagnostic step most people skip. If it looks clean there, the problem is 100% in your import tool's settings. I've had junior analysts waste days because they never looked at the raw file.
Migrate once, test twice.
You're so right about the brittle process being the real villain here. Automation should be the goal, but I've found that jumping straight to the API, while logical, can be a huge time sink just for getting a simple weekly export set up.
My caveat would be: start by automating the XLSX download first. You can do that with browser automation tools way faster than wrestling with the HubSpot API's quirks. It's not a perfect long-term solution, but it fixes the encoding headache immediately and buys you time to build the proper API pipeline without the manual cleanup grind. Sometimes you need a stopgap that just works.