Search verticals can have sub verticals be grouped and ordered in hierarchies.
Search verticals are topical groups also used in keyword clustering.
Search verticals can have alias names in other search markets.
A “segment” or “niche” describes a very narrow sub vertical.
For example:
Example search vertical: Cryptocurrency
Example:
Cryptocurrency is a sub vertical of Finance.
Cryptocurrency in US in English language
Cryptocurrency in UK in English language
Cryptocurrency in Germany in English language
Cryptocurrency in Germany in German language
Cryptocurrency in Austria in English language
Cryptocurrency in Austria in German language
Further sub verticals could be either by currency (BTC,ETC,etc.) or by finance product (trading, staking, lending).
Example search verticals: Loans
Mortgage Loans is a sub vertical of Loans in a sub vertical Finance (Seach Markets US and UK, English)
Payday Loans is a sub vertical of Loans in a sub vertical Finance
Payday Loans is a sub vertical of Loans in a sub vertical Finance (Search Market US/English)
Cash Advance is a sub vertical of Loans in a sub vertical Finance (Search Market UK/English)
Cash Advance and Payday Loans are aliases to each other and only differe by their search market.
Finance in UK in English language
└── Loans in UK in English language
└── Mortgage Loans in UK in English language
└── Cash Advances in UK in English language -----+
Finance in US in English language |
└── Loans in US in English language |
└── Mortgage Loans in US in English language |
└── Payday Loans in US in English language -----+
Example search niche
Payday Loans for Veterans over 60 in US in English language which is a sub vertical of Payday Loans in US in English language.