Digital Marketing Handbook

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Local search 67


Business listing information can also be distributed via the traditional Yellow Pages, electronic Yellow Pages
aggregators, and search engine optimization services. Some search engines will pick up on web pages that contain
regular street addresses displayed in machine-readable text (rather than a picture of text, which is more difficult to
interpret). Web pages can also use geotagging techniques.

References
[ 1 ]Search quality highlights: 40 changes for February (http:/ / insidesearch. blogspot. com/ 2012/ 02/ search-quality-highlights-40-changes.
html), Google, February 27, 2012,
[ 2 ]http:/ / labs. google. com/ goog411/
[ 3 ]http:/ / http://www. smallbusinessonlinecoach. com/ wp-content/ uploads/ 2011/ 08/ pure-vs-blended-google-search-results. png

External links



  • http:/ / searchengineland. com/ google-confirms-panda-update-link-evaluation-local-search-rankings-113078

  • http:/ / http://www. localmybiz. com/ 2012/ codename-venice-general-seo-important-local-search/


Web presence


A digital footprint is a trail left by an entity's interactions in a digital environment; including their usage of TV,
mobile phone, internet and world wide web, mobile web and other devices and sensors. Digital footprints provide
data on what an entity has performed in the digital environment; and are valuable in assisting behavioural targeting,
personalisation, targeted marketing, digital reputation, and other social media or social graphing services.[1]
In social media, a digital footprint is the size of an individual's online presence; as it relates to the number of
individuals they interact with.

Description


A digital footprint is a collection of activities and behaviours recorded when an entity (such as a person) interacts in
a digital environment. It may include the recording of activities such as system login and logouts, visits to a
web-page, accessed or created files, or emails and chat messages. The digital footprint allows interested parties to
access this data; possibly for data mining, or profiling purposes.
One of the first references to a digital footprint was by Nicholas Negroponte, naming it the slug trail in his book
Being Digital in 1996. John Battelle called digital footprints the clickstream exhaust, while Tim O'Reilly and Esther
Dyson titled it the data exhaust.[2] Early usage of the term focused on information left by web activity alone, but
came to represent data created and consumed by all devices and sensors.[3]

Footprinting process


Inputs to digital footprint include attention, location, time of day, search results and key words, content created and
consumed, digital activity and data from sensor, and from the users social crowd. Some data can come from deep IP
and Internet data, such as footprinting. Value created from the collection of inputs and analysis of the data are
recommendation, protection, personalisation, ability to trade or barter and contextual adaptation. Part of the analysis
phase is Reality mining
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