Tips for implementing search engine optimisation in the tablet industry

“site owners understand that a website not found in the Search Engine Result Pages (SERP) doesn’t exist on the web.” (Bröcker et al, 2008)

Search engines are incredibly significant in the guidance of marketing techniques, organisations can utilise the online opportunities to accomplish marketing goals. To ensure that advertisements are at the top of search results lists some organisations pay to be displayed, they do this to guarantee that they’re seen. This type of promotional tool is referred to as search engine optimisation (SEO). SEO can be costly but nevertheless is it effective, with the potential to produce large amount of brand awareness if used correctly.

“It has long been held that one of the major goals of marketing is to generate and maintain brand awareness; this is seen as particularly important in low-involvement situations where consumers may engage in little active search information to aid choice.” Macdonald et al (2000).

Brand awareness effects the decisions that consumers make, this is because users are more likely to consider brands they know. This brand knowledge can be referred to as a consideration set, organisations aim to be selected from the consideration set (Macdonald et al, 1996).

When searching for tablets the results were as follows…

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Figure 1: Google. (2015). Search Results

An IDC report, ‘Web positioning as a critical e-marketing tool’, found three strategic objectives that all organisations who want to optimise their online presence should adopt. Firstly, it is important that an organisation is visible and so listed in a suitable category and with appropriate headings and keywords. It’s important that the webpage is accessible from all devices in order to avoid segregating an audience.

Secondly, it’s critical that the positioning is guided by the target market, in order to attract suitable users. Thirdly, organisations hoping to enhance their SEO should have tactical objectives which are relevant to the rank of organisation, taking competitors into account.

The target market could be children, so when searching for “tablet for children”, a more relevant list of results will be displayed. This results page illustrated the following tablets:

  • TEMPO MS706 7 inch Android
  • Cheap Tablets 7 inch M755E3
  • Kurio Tab 7 Inch Kids Tablet
  • 3 inch R430W Android
  • hipstreet Phoenix Quad

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Figure 2: Google Search Results (2015)

The power of search engines means that customer relationships begin before a customer even sees your web page, it starts when they’re directed to the web page.  Customers can be directed to a web page via “on-site search optimization; paid inclusion; sponsored links and paid listings” (David, G.C. 2003).

A search will typically create a page full of listings; these are generally either editorial listings such as the relevant results or paid listings such as promotional advertisements. Typically search engines cross-syndicate there results and so it’s possible that when a consumer uses different search engines they may see the same results. The SEO can be divided into two separations: white hat SEO and black hat SEO.

White hat SEO

White hat SEO is a more genuine way of achieving optimisation; it involves developing the features on the web-pages.

Met description

Metadata creates perspective on a search page, it lays the foundations of why information has been displayed and it can be useful in directing consumers more concisely. It can be very significant to provide descriptions on the search page because these can direct more views to the page, as well as provide the user with important information which they’ll find relevant and this builds confidence. In regards to links a small amount can be enough, if too many are provided then it can appear disorganised.

The meta-description for the Tesco Hudl is displayed as follows…

 

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 Figure 3: Google. (2015). Search Results. 

Keywords

Consider the words that an operator could think about searching for to discover your page. Operators who identify with the subject may use keywords which are different to a new enquirer.  It’s useful to expect alterations in behaviour and prepare for them while scripting web content, arranging a creative assortment of keywords could improve the situation. Google AdWords delivers a useful ‘Keyword Tool’ that supports web designers in their quest for innovative keyword variants, as well as providing the top search queries that your page is found through.

Search optimization achieved by understanding the keywords that consumers are using and are likely to use. Having the correct keywords can make a huge difference in the relevance of viewers on the webpage.  Googles ‘Keyword Planner’ helps organisations to get keyword ideas and traffic forecasts, this is useful for getting the key words right, its available here…

 

Google Ads Youtube. (2015). How to use Keyword Planner.

Once data has been collected organisations can use Google to analyse …

Average monthly searches:

“The average number of times people have searched for the exact keyword based on the location and Search Network targeting that you’ve selected.”Google (2015). 

Competition:

“The number of advertisers that showed on each keyword relative to all keywords across Google”Google (2015). 

Suggested bid:

“Your suggested bid is calculated by taking into account the costs-per-click (CPCs) that advertisers are paying for this keyword for the location and Search Network settings you’ve selected”.Google (2015). 

Ad impression share:

“The number of impressions you’ve received divided by the total number of searches for the location and network you’re targeting that matched the keyword exactly in the last calendar month”.Google (2015). 

Navigation

The navigation from search engine to the web page should be simple, this helps avoid any unwanted confusion. In order to retain users and lower bounce rates, the navigation on a webpage should be clearly through links, bread crumbs and anchor text displayed. Links are useful in creating a good reputation; if another website is using your organisation on their web page then it appears more trustworthy and acclaimed.

Each page must have a unique title that will help both search engines and users understand what the page is about.  It’s essential that the page is correctly formatted; this is attainable by inserting heading and sub headings, as well as appropriate use of bold, underline and italics. In addition it can be useful to highlight important sections; this will make the text more understandable. Images can make a webpage display more interesting and inviting, they break up large chunks of text and can act as a narrative. For the images to be effective it can be valuable to use original images which are applicable.

Make the display attractive to consumers with the following tips, taken from the Apple Ipad (2015) webpage:

 

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Figure 4: Apple Ipad (2015)

  • A link to the home page which diverts users back in order to make the website easy to use
  • A search button where customers can search the key term they’re looking for instead of looking through pages to find it
  • A frequently asked questions sections which can hopefully clear up majority of confusion and so there will be less need to have staff replying to questions repeatedly
  • A contacts section giving customers access to email and telephone options
  • Links to the online shop
  • Location of nearest store
  • Live chat with the organisation
  • An app for users to download

Breadcrumb lists are only necessary on large websites with a lot of pages, as they help guide the user. ‘Breadcrumb lists’ consist of a line of internal links which are situated on either the top or the bottom of a web page. The reason for breadcrumb lists is to ensure that users can navigate to a previous pace or a root page easily. Breadcrumbs are not necessary on single- level websites and should be considered as an additional secondary feature, but not a replacement for operative primary navigation menus.

Anchor text makes navigation easier, it is available on web pages, and they are visible as clickable text and arise as an outcome of a link. Ensure success by creating anchor text which is original, useful and well researched

Posting frequency

It’s encouraging to users if the webpage is renewed frequently as it reassures them that the information displayed is up to date. Renewing a webpage also gives the creators a good opportunity to learn and progress.

Paid Search Advertising

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Figure 5: Search Results Page Example for Google. Rutz et al. (2007).

Organic links are displayed in order of relevance and popularity, search engines typically analyse keywords in the search in order to provide the user with appropriate links. Paid search advertising is useful for businesses as it ensures that organisations can pay for their advertisement to be displayed as a text ad when relevant keywords are searched for. The advertisement is displayed in the sponsored section of the search results page (see Figure 2). Users become aware of the link even if they do not click on it. This means that brand awareness can be built, brand awareness is important as it strengthens the relationship between the consumer and the organisation.

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Figure 6: Paid Search from the Company’s and Consumer’s Perspective. Rutz et al. (2007).

The impression that a user has of an organisation can be assess through figure 3, this demonstrates the process of searching. If organisations create an easy to locate page then they are more likely to receive repeat customers. If consumers find that the page is unusable they’re less likely to return.

Black hat SEO

Black hat SEO tries to can also be referred to as on site optimisation. It’s possible to improve webpage rankings through ‘on-site optimization’, which increases short term traffic. David (2003) identifies some of these techniques as “doorway or cloaked pages contain text, metadata and other features” as well as “spamming”.

This type of technique has received a bad reputation in the past as it can generate traffic which isn’t relevant and therefore isn’t a good indicator of success. Search engines try to minimise the risk of users being directed to irrelevant web pages and so this type of technique is usually banished by the search engines.

Google’s blacklisting statement is available:

“Illicit techniques that manipulate search engines to try to rank a site higher are considered blackhat techniques that violate our Webmaster Guidelines.”

 

References

  • Apple. (2015). Apple Ipad. Available: https://www.apple.com/uk/ipad-air-2/. Last accessed 06/05/15
  • Ball, J. (2015, Apr 16). Let’s challenge google while we still can. The Guardian Retrieved from http://search.proquest.com/docview/1673656782?accountid=9727
  • Bröcker, Jop, and G. van Ahee. (2008): “Semantics & Search Engine Optimisation.” 1-15.
  • David G, C. (2003): “Search Engine Marketing: Why it benefits us all.” Business Information Review 20, no. 4 195-202.
  • Karim Bahoul and Eric Ochs. Web positioning as a critical e-marketing tool’. IDC 2001. Available at www.idc.fr.
  • Google. (2015). Understanding your Keyword Planner. Available: https://support.google.com/adwords/answer/3022575?hl=en. Last accessed 06/05/15.
  • Google Ads Youtube. (2015). How to use Keyword Planner. Available: https://www.youtube.com/watch?v=bxREkVhzEkw. Last accessed 06/05/15.
  • Google. (2015). Search Results. Available: https://www.google.co.uk/search?q=tablets&ie=utf-8&oe=utf-8&gws_rd=cr&ei=tHQ_VYT0DuaE7gb3voC4AQ. Last accessed 28/04/15.
  • Google. (2015). 2.5 Learn about search engine optimization. Available: https://support.google.com/webmasters/answer/6001181?hl=en. Last accessed 06/05/15.
  • Google. (2015). Using Keyword Planner to get keyword ideas and traffic forecasts. Available: https://support.google.com/adwords/answer/2999770. Last accessed 06/05/15.
  • Macdonald, E. K., & Sharp, B. M. (2000). Brand Awareness Effects on Consumer Decision Making for a Common, Repeat Purchase Product: A Replication. Journal of business research, 48(1), 5-15.
  • Macdonald, E., and Sharp, B. (1996) Management Perceptions of the Importance of Brand Awareness as an Indication of Advertising Effectiveness. Marketing Research On-Line 1 1–15.
  • Rutz, O. J., & Bucklin, R. E. (2007). A model of individual keyword performance in paid search advertising. Available at SSRN 1024765.

How could Semantic Analysis technologies on Facebook be a key marketing tool in tablet sector companies?

If your tablet sector company is using Facebook then you may struggle to cope with the constant demands of instant interaction, semantic analysis could help you to respond quickly and efficiently

“The World Wide Web is the single largest and most diverse repository of codified knowledge in the history of the human race” Shiri, M (2015). In 2014 it was found that roughly 40% of the world’s population was active on the internet (ITU, 2014)

With so much information available it can be daunting for organisations to unravel the meaning and relevance of it. Nonetheless, with suitable preparation the information can be transformed into a much simpler and understandable tool. Organisations use semantic analysis in order to gain insight into how their organisation is perceived, gain opinions and feedback. Semantic Analysis is an opportunity for organisations to be more active and go beyond mere public relations, they can use the tool to target customers to gain more attention and create a more narrow focus. You can build bonds with Facebook users, this reassures them that they have direct communication to the company.

Examples of Semantic Analysis on Facebook

Identified below is a comparison of the key players in the tablet industry, highlighting the use of semantic analysis technologies.
The first example of how an organisation could have used semantic analysis technologies is taken directly from the Kindle (2015) Facebook page, in March 2015 they were trying to raise awareness of national reading month. The company portrayed themselves positively, listing the comments by “most relevant”, the comments chosen were very encouraging and represented the company well, linking them with a good product.

Amazon Kindle

amazon facebook sem an
Figure 1: Amazon Kindle. (2015). Facebook page.

On closer inspection by clicking the “Recent Activity” option, other comments are obtainable which are less constructive. These comments were not listed as the most relevant and this is due to semantic analysis which would have chosen to show the flattering comments.

amazon sem an 2Figure 2: Amazon Kindle. (2015). Facebook page.

Organisations like Amazon know that users will probably skim read the relevant activity and are less likely to delve any deeper to view the unrelated comment. The impact of displaying relevant complimentary comments over irrelevant or negative comments is that it creates a better brand image. Users will be impressed by positive comments about the product and will therefore be more likely to purchase the product. Simple management of how the brand is portrayed can be highly influential over consumer perception.Semantic analysis technologies could have helped Amazon answer queries.

Panasonic

The like button is important as it allows organisations to target what their audience likes, and also related likes which may be useful in improving current strategies. An example of how the tablet industry could use the like button to their advantage is available on the Panasonic facebook page Facebook page.

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Figure 3 Panasonic. (2015).

Organisations like Panasonic can recognise which marketing strategies receive good responses and start to understand why. The semantic analysis technology will also allow Microsoft to view how their competitors are gaining a positive response from there public communication and therefore could implement a similar idea on their Facebook page. The share button is also significant as it gives an indication of a user’s opinions, sharing content means advertisements can reach users who haven’t liked the page.

Microsoft

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Figure 4: Microsoft Surface. (2015). Facebook

Microsoft Surface. (2015) could use a time frame to measure how effective there affiliation with the well-known film ‘frozen’ has been. Semantic Analysis technologies allow organisations to change the overview of what they’re targeting at a specific time, an example of this would be to change date and time period that they’re analysing in order to identify how specific marketing movements had an impact.

How does semantic analysis work?

It’s possible for businesses to create a picture of the type of customer they serve. Users tend to display information about themselves on their profiles and this information can be retrieved with semantic analysis so that companies can target particular demographics. More specifically than this business can use Semantic Analysis technologies to identify similar interests and hobbies by checking what they have liked on Facebook or spoken about recently. The advertisements that would be aimed at this type of user is referred to as micro – targeted.
Mehra. M et al (2011) explains that semantic analysis technologies use ontologies, they’re important as they can be used deliver flexibility to the uses of Semantic Web. Using ‘Friend of a friend’ (FOAF) as an example, this ontology allows links to be made between social network sites and people by means of a ‘decentralised database’. The technology processes social network information such as Facebook likes, comments, shares and statuses.

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Figure 5: Mehra. M et al (2011)

Mehra. M et al (2011) introduces a two-layer network for researchers as shown in figure 5, in this model the circles in the ‘concept layer’ characterise knowledge of researchers in the arrangement of words or phrases. The connections in this stratum represent the semantic associations amongst research expertise areas. The circles in the ‘researcher layer’ represent researchers, and the associations amongst them characterise some types of social connections taking place, an example for this is Facebook conversations via comments. The associations concerning ‘concept’ and ‘researcher layer’ symbolise that a researcher illustrates know-how in the area.

Another ontology example is ‘Semantically Interlinked Online Communities’ (SIOC), this one permits the amalgamation of unrestricted online material such as blogs, forums, photos and so on. It can be more valuable when used as well as FOAF for outlining user summaries on social networks.
Veda Semantics is an example of an organisation which provides semantic analysis technology, although other outsourced companies are similarly effective. They state that there mission to

“Enabling businesses create better impact by uncovering actionable insights from unstructured data.” Veda Semantics. (2015).

They detail there activities further in the following video…

Veda Semantics. (2015).

Social media is a great way for organisations and consumers to interact, during these exchanges it is possible for organisations to collect data and use it to their advantage. The social network opportunity means that organisations no longer just view extracts of information, but also have the opportunity to engage with information. Semantic analysis is the process of mining information such user generated contents in order to categorise text. Sri, et al (2013) clarifies that opinion mining can focus on two types of opinion – ‘Regular opinion’s which just centres on ‘entities/features’ and ‘Comparative opinion’ which creates link and makes comparisons.

References

  • Amazon Kindle. (2015). Facebook page. Available: https://www.facebook.com/kindle?fref=ts. Last accessed 27/04/15.
  • ITU. (2014). ICT facts and figures. Available: http://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2014-e.pdf. Last accessed 02/04/15.
  • Michael Calaresu Ali Shiri , (2015),”Understanding Semantic Web: a conceptual model”, Library Review, Vol. 64 Iss 1/2 pp. 82 – 100
  • Microsoft Surface. (2015). Facebook page. Available: https://www.facebook.com/SurfaceGB?brand_redir=427017100655129. Last accessed 27/04/15.
  • Misha Mehra and Nishant Kumar (2011) Semantic Web Applications. Journal of Library & Information Technology, Vol. 31, No. 4, July 2011, pp. 217-225
  • Panasonic. (2015). Facebook page. Available: https://www.facebook.com/ToughbookToughpad?fref=ts. Last accessed 27/04/15.
  • Sri, S. and Devshriroy, D. (2013) Semantic Orientation of Sentiment Analysis on Social Media. International Journal of Computers & Technology, 10/2013, Volume 11, Issue 4 User
  • Veda Semantics. (2014). Text Analytics and Social Media Monitoring from Veda Semantics . Available: https://www.youtube.com/watch?v=ijJCdxAIwW8. Last accessed 01/05/15.
  • Veda Semantics. (2015). About Us. Available: http://www.vedasemantics.com/about-us.html. Last accessed 01/05/15.