When starting your search marketing campaign for your website, the first thing you do is to create a keyword list. To find relevant keywords for your web site, you can run keyword research through some of the keyword tools below.
Keyword Discovery collects keyword data from over 200 search engines in the world and has the largest keyword database that contains over 36 billion searches. Keyword Discovery also offers language specific keyword databases collected from regional search engines.
To get the keywords, you need to sign up for either Keyword Discovery’s free membership or paid membership. With the free membership, you get the top 10 keywords that are of the highest search volume. With the paid membership, you can choose to get the top 1,000, the top 10,000, or the entire keyword list. Each keyword list is priced differently and all the data is being updated regularly.
Google Keyword Tool
Google provides a free keyword research tool called Google Keyword Tool which shows you search volume keyword data of the previous month, average search volume of the past 12 months, and advertiser competitions.
Google Search-based Keyword Tool
Google search-based keyword tool gives you new keyword suggestions that are:
- Not currently in your Adwords account
- Based on the actual search queries on Google
- Matched to specific web pages of your site
Google Trends allows you to compare up to 5 topics (or keywords) and see how often they have been searched on Google over time, with geographic regions in comparison.
Google Insights for Search
Google Insights for Search allows you compare search volume patterns of (topics or) keywords across specific regions and time frames. It shows you the search terms and rising searches related to the topics you have chosen.
MSN adLab Search Funnels and Demographics Prediction
Find out search sequences of users from Microsoft’s Search Funnels. For instance, it can show you how many people search for BMW and then search for Mercedes Benz, Audi, and other automobiles.
Demographics Prediction predicts age, gender, and other demographic information of users. It is based on online behavior of users such as queries they search online and websites they visit.