For this example I am going to use an SEO vertical market and focus on a set of closely related keywords both in terms of semantic relevance and related user intent.

A vertical market is defined as:

a group of similar businesses and customers that engage in trade based on specific and specialized needs. Often, participants in a vertical market are very limited to a subset of a larger industry (a niche market).

source: Wikipedia

Just for fun I'm including tools, services, and consultant queries

You will see that I have loaded all of the above keyword data into the model and plugged in some test conversion data.

I created a column titled (Optional) where you can enter in a specific SERP rank between 1 and 5 and it will adjust the potential visitors based on the CTR values entered in F2 through F6, currently it's configured with the CTR data from the Slingshot SEO case study.

To make this applicable to your website:

1. Replace the SEO keywords with your keywords and their estimated [exact] monthly search volume
2. Enter your average costs (or total cost into D6) for creating a new URL

In case you're not sure what your costs are, the next step will help you estimate them.