Search Engine Strategy

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Conflict of Interest Policy

No Double Serving at ISM! Like Google who maintains a high standard for their user experience and the quality of their advertising. At ISM Associates we like protect the value and diversity of our search engine strategies, we do not generally manage multiple accounts featuring the same business or keywords. We consider this a conflict of interest for us and our clients.

Search Engine Target Audience Strategy

 Unique Identifiers


When a user visits a website, they leave behind “unique identifiers”, that are recorded within in the site’s log files. This information can be likened to an individual being RFID (Radio Frequency Identification Tagging in Automatic Data Capture) tagged which enables the individual to be followed through the user experience life cycle, in this instance the unique identifier is noting which pages they look at, for how long they stay on the page, and where they leave the site.

 Informed Intelligent Analysis


Informed intelligent analysis of this data, and understanding how visitors use the website, is of real added value whether you have an e-commerce site or are simply trying to get your marketing message across.

 Improved Website ROI


User behaviour analysis as part of web analytics is an enabler for calculation of a website’s return on investment which therefore leads to an improved website ROI. If taken into consideration as part the search engine target audience strategy future redevelopment of the site would match the visitors’ needs, an increase in contact enquiries or completed sales transactions.

Benefits from user behaviour analysis captured through web analytics as part search engine strategy:

• informed enabler to target your website to your customer needs
• informed intelligence to improve customer acquisition, retention, and completed transactions
• provides search engine optimisation validation
• benchmarking can quantify improvements over the long term
• informed qualified evidence based reporting can support the decision making process
• leads to better website ROI over the long term

User behaviour analysis adds value beyond standard automated log file analytics, and involves two distinct processes. First, basic information such as number of visits, pages views and visit length is determined.

The an in-depth analysis is then undertaken, looking at customer entry and exit points, acquisition, conversion rates, and many other search engine target audience strategy factors that can help with website architecture, structure, navigation and content decisions.

In-depth analysis can an indication of the activity of visitors from identified organisations (specific users within that organisation can on occasion be identified), identify potential customers, and assesses user engagement with the existing client-base.

Search Engine Target Audience Strategy Recommendations


Search engine target audience strategy recommendations based on the user’ interaction life cycle within the website are presented, helping to improve quality and performance, provide a better match your target audience’ expectations of the user experience.

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