Case History: The Listing As An SEO Tool

The Europelowcost task started as a research engine and cost comparison software for equally discretion and organization travel. Ahrefs group buy The following progress towards crafted websites features a clear strategic validity, equally when it comes to placing on research motors, and simplicity of use, by allowing tourists to really make the most useful utilization of the information.

Preliminary examination

The simple prediction is that the organisation of information into groups with various quantities of degree is probably the most sensible option for providing simple, realistic and rapidly information retrieval. This type of structure on the net is known as a directory.

We found the easiest way to organise the information available by analysing two probable alternatives:

e Sub-division by state, group together all of the solutions for that destination (i.e. flights, hotels, hostels and voyages are offered together).

e Straight sub-division by service, breaking up and “specialising” the in-patient websites (i.e. organisation by service: only flights, only hotels, etc).

After the mandatory consideration, the progress group plumped for the second option: to divide the info by theme.

The reasoning that light emitting diode people to decline the very first choice resulted from the truth that, when it comes to simplicity of use and of indexing by the search engine spiders, creating a multi-service listing ordered in accordance with destination might have resulted in data overload (and therefore an expression of disorientation for the end user), due to informative data on airports, airlines, hotels, hostels, voyages, etc. all being on a single page.

It was therefore clear that people must specialise and sub-divide the research by service, with mix marketing of solutions by destination (e.g. from the page of flights to a particular destination, you can find hyperlinks to hotels and hostels in the same city/country).

Search Motor Optimisation Demands

From the viewpoint of search engine optimisation, the road we decided is far better when it comes to its thematic target: a sizable number of pages with special, specialised material, which are abundant with hypertext information.

The style of listing progress can be summed up the following:

1. Webpage, with the most common research function, promotions and top queries, along with hyperlinks to the four main categories of the listing (e.g.: [http://en.europelowcost.com/cheap_flights/default.aspx]) and fixed pages comprising helpful data;

2. Distinctive central pages. Great treatment was taken in the differentiation of the name tag (which maybe not by chance involves the europelowcost brand), the meta information and the introduction texts;

3. Rewriting the dynamic URLs.

The whole design of the site fully conformed to the research motors’quality guidelines, there was no addition of artwork to slow down access, and despite what the countless detractors of things Microsoft have to state, the Asp.NET development language demonstrated itself to be strong, rapidly and versatile.

Organisation of material

Big listings and a private multi-service search engine let people to record and track a sizable volume of information centered on individual behaviour (the toolbar for Net Traveler and Firefox was also a significant factor). The vital position was to decide how to make most useful utilization of this bulk of data, by rationalising it and which makes it easy to consult.

The most important segment in strategic phrases was the flights, of ordered in the most common way, record places by continent, state, and city.This classification of benefits was extended to one other websites (hotels, hostels, cruises). How a data is structured allows for two main research standards: for flights to and from a destination or airport, each state is linked to the list of national and global airlines that offer that destination. The region specialized in airports, which can be also provide for every single simple place, allows customers to consult informative data on every airport worldwide, found on active maps with satellite photos.

The Transformation Rate of the task, which can be somewhat over 4% (October 2006 – January 2007) and its stable existence on Google, accomplished in less than 8 weeks (77,000 pages found, exemplary search engine benefits place for a very large number of queries, no penalties whatsoever) are extremely encouraging and excellent results, which lead the observer to believe that the software is of particular significance and popular with the public.

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