The Task That Seemed Simple at First
A few months ago, I was supporting a business strategy initiative that required us to map out key industry leaders across three countries — the United States, United Kingdom, and Canada. The goal was straightforward: collect contact details for 50 CEOs, organize them cleanly in an Excel sheet, and make the data ready for internal review.
The fields we needed were basic enough — first name, last name, LinkedIn profile URL, and professional work email. Nothing exotic. I figured I could handle it myself in a day or two.
I was wrong.
Where It Got Complicated
The first challenge was scale. Finding 50 verified CEO contacts across multiple industries and three different countries is not a quick task. It requires cross-referencing company websites, LinkedIn profiles, news articles, and press releases — and doing it consistently for each entry.
The second challenge was accuracy. A LinkedIn profile URL that leads to a deactivated page is useless. A generic contact email instead of a direct professional email wastes everyone's time. Every row in the spreadsheet needed to be reliable, not just filled.
I spent about half a day on the first 8 entries. That pace was not going to work. I had other deliverables running in parallel and could not dedicate four more days just to data collection and CEO contact research.
I also realized I was spending too much time second-guessing whether the email I found actually belonged to the right person in the right role. Verification takes as long as the search itself.
Bringing in the Right Support
After hitting that wall, I came across Helion360. I explained the scope — 50 CEOs, three countries, four data fields per contact, delivered in a structured Excel format. Their team understood the brief quickly and asked the right clarifying questions: Did I want contacts from specific industries? Should the spreadsheet include a country column for filtering? Were there any sectors to exclude?
That level of detail told me they had done this kind of structured data work before.
I handed off the task and gave them the parameters. They took it from there.
What the Delivered Sheet Looked Like
The Excel file came back organized exactly as requested. Each row represented one CEO, and the columns were clean and consistent:
First Name | Last Name | LinkedIn Profile URL | Work Email | Country | Industry
The team had also added a country and industry column without being asked — a practical addition that made filtering much easier during our internal review sessions.
All 50 contacts were verified. The LinkedIn URLs were active profiles. The emails followed standard professional formats tied to the respective company domains. Nothing looked scraped or generic.
The sheet was also formatted properly — no merged cells, no inconsistent spacing, frozen header row, and clean column widths. It was ready to present or share without any cleanup on my end.
What I Took Away From This
CEO contact research at this scale is genuinely time-intensive work. It is not complicated in concept, but it demands patience, attention to detail, and a systematic approach to verification. Trying to rush it yourself while managing other responsibilities is a recipe for inaccurate data.
Delegating it to Helion360 saved me roughly three to four days of work. More importantly, it gave me a dataset I could actually trust going into our strategy sessions.
If you are planning a similar exercise — whether for outreach, competitive mapping, or leadership research — the quality of the contact list you build at the start will determine how useful everything downstream becomes. A clean, structured Excel sheet with verified data is worth the effort to get right.
Need the Same Done for Your Team?
If you are working on a project that involves collecting, verifying, and organizing executive contact data, Helion360 is the kind of team that handles it properly. They step in when the work is too detailed or time-consuming to manage on your own — and they deliver something you can actually use.