Great idea with the table. Data is very powerful in domain investing, but you need more of it.
You should consider adding a lot more, such as the following exact data with and without spaces (e.g., "BusinessSchool" and "Business School"):
The number of quoted search results, search volume, competition and CPC for its individual and combined keywords (e.g.,
Business,
School, and
Business School), registered TLDs, developed TLDs,
total and active companies with the name or a similar name, past domain sales with the keyword(s) or the concept (e.g., adding -ly suffix to a word), etc.
@Bob Hawkes has some great articles on data sources.
Gather as much data as you can within your budget (time and money).
Then, once your data sources are established, collect that data for patterned (not one-off) domain sales (e.g., one-word .ai domains). Add those sale prices, and how many times each has sold, as data points to your spreadsheet/table.
Begin to create algorithms (mathematical or subconscious/intuitive) by reviewing all that data on sold domains.
Then, you can apply the same process to your prospective domain purchases.
- Caveat: A lot of metrics won't be applicable to brandable domains, so you'll need to get creative with your data points (e.g., compile sales data on shared etymology). Or, only invest in domains where you have more correlative data points, in terms of quantity and easy accessibility, such as two-word names (e.g., BusinessSchool.com).
Two-word names is a much bigger and more lucrative category:
Show attachment 258725
You'll see that it's always the highest-performing category in daily sales reports:
Have fun!
