The Problem: 12,000 Software Listings and No Way to Track Them
I manage a software directory site with around 12,000 listings. Each listing has the potential to generate revenue through affiliate links, but for a long time, we had no real way to measure what was working and what wasn't. We had downloaded a bulk export from Pitchbook, but it came through as a raw, unstructured file that wasn't immediately usable in any meaningful way.
The goal was straightforward: convert that Pitchbook bulk download into a clean Excel file where each software listing could be tracked, filtered, and analyzed — particularly around affiliate link status and revenue performance.
Why I Tried Handling It Myself First
My first instinct was to open the file and start formatting it manually. I work with Excel regularly, so I assumed this would be a few hours of cleanup work. I was wrong.
The raw Pitchbook export had inconsistent column structures, duplicate entries, missing values across key fields, and nested data that didn't map cleanly to a flat Excel format. Across 12,000 rows, even small inconsistencies multiplied into a serious mess. I spent an entire day trying to build a workable schema — deciding which columns to keep, how to flag listings that already had affiliate links set up, and how to structure the file so it could be filtered by performance category.
I made progress, but the work kept expanding. Every time I cleaned one section, I'd find another layer of inconsistency. The sheer volume of data made it hard to maintain accuracy without a systematic approach, and I didn't have the time or the right process to do it properly at scale.
Bringing In Outside Help
After hitting that wall, I came across Helion360. I explained the situation — the raw Pitchbook data, the 12,000 listings, the affiliate link tracking requirement — and their team understood immediately what needed to be done.
They took the bulk download and began the process of manually converting and organizing the data into a structured Excel format. The work involved more than just pasting columns. They mapped the relevant fields from the Pitchbook export, normalized the data so it was consistent across all rows, and built out a tracking structure that included affiliate link status, listing category, and fields that would allow us to analyze revenue potential over time.
What the Final Excel Database Looked Like
The delivered Excel file was genuinely usable from day one. Each of the 12,000 software listings had its own row with clearly labeled columns covering key data points pulled from the Pitchbook source. Listings that already had affiliate links were flagged separately so we could prioritize tracking on those immediately.
Beyond the basic data organization, the file was structured so that filtering and sorting by category, affiliate status, or any other field took seconds. That might sound simple, but when you're working with large datasets at this scale, having a clean, well-organized Excel database makes the difference between a file you actually use and one you avoid opening.
We were also able to add our own performance columns on top of what was delivered — things like monthly click data and revenue amounts — because the base structure was solid enough to build on.
What I Took Away From This
Handling bulk data exports from sources like Pitchbook requires more than just basic Excel skills. The data that comes out of a bulk download is rarely clean, and the bigger the dataset, the more time and precision the cleanup demands. Trying to do it myself at this scale wasn't a matter of capability — it was a matter of the work simply being too time-consuming and detail-intensive to do well without a focused process.
Getting the Excel database organized correctly early on saved us significant time downstream. We can now make informed decisions about which software listings to prioritize for affiliate outreach, which categories are underperforming, and where we should focus our strategy next.
If you're sitting on a bulk data export that you need converted into a clean, structured Excel file for tracking or analysis, Helion360 is worth reaching out to — they handled a data organization task that would have taken me weeks and delivered something I could actually use.