08-21-2006 01:26 PM CET - IT, New Media & Software
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SearchForecast launches the Google Pay Per Click Industry Analysis

Press release from: SearchForecast


SearchForecast, a leading authority on global competitive intelligence for search engine indexation, has expanded its reporting tools for advertisers and publishers to include a Google Pay Per Click Industry Analysis. The Google Pay Per Click Industry Analysis lists which industries has the highest to lowest Pay per Click keywords. In industries related to Finance and Insurance, higher Pay per Click costs has increased the competitiveness of search engine marketing. With three industries in the top 5 ranking, including Credit and Debt, Home Loan and Mortgages and Credit Cards, it is no surprise why the Banking and Insurance organizations consider Search Engine Optimization a vital alternative in attracting traffic from search engines.

Marc Phillips, President of SearchForecast, commented that "being able to monitor how competitive a particular industry is in Pay per Click advertising increases the intelligence and assists in decision making for our clients. From a broader perspective this new reporting tool shows us how well the potential of Pay Per Click advertising has been explored. For instance, the Domain Registrars industry for example leads the market with average Cost Per Click keywords of $37.34 while, surprisingly, the tourism and hospitality industry does not appear in the top 20 industries."

SearchForecast engages clients globally with an enterprise search engine optimization solution.

Contact SearchForecast for further information.

SearchForecast
Level 3 / 229 Macquarie Street
Sydney NSW 2000
Australia
Internet: http://www.searchforecast.com
Tel: (612) 9223 0322
Fax: (612) 9360 0385
Press Contact: Ludo Renoult
Email: ludo.renoult@searchforecast.com

At SearchForecast we focus on solutions that help our clients understanding how to increase the free left hand side rankings on Search Engine Results Pages.

This release was published on openPR.
News-ID: 10711 • Views: 1257
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