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Digital footprints are sometimes broken down into active and passive data traces. Active data traces are the ones that the user leaves intentionally. Facebook, Twitter and blog posts, social network connections, image and video uploads, email, phone calls and chats are among the ways people create active digital footprints.

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Visiting websites

Shopping online

Leaving comments on social media

Simply clicking “OK” anywhere on the web

Through Mobile Phones, Tablets, or Laptops.

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Digital footprints are divided in two groups :                BIG and SMALL :

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Digital footprints are divided in two groups :                BIG and SMALL :

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SMALL:

Making a Skype call, sharing something on Facebook, uploading pictures to …, sending an email to a Hotmail user. For instance, if you Tweet that you have just arrived in Sydney and the sunset is spectacular, those are quite explicit disclosures about where you are and when (assuming you're telling the truth). Each time you visit a web site, you reveal some information about yourself to the owner of the web site: your IP address, which may include your geographic location, your web browser type and operating system, and, often, the last web site you visited.
BIG:
Internet services such as online commerce, social networking, and web mail require that a web site be able to link up multiple interactions, such as putting a book in a shopping cart, and later clicking “Pay Now”. They need to know when the person doing something now is the same person who did something previously – and often this is in the user's direct interest, too.

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More than ever, our lives are intertwined with digital technology and the best thing we can do is to remain aware and educated. there are some pros and cons from third parties tracking our digital footprint . .

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More than ever, our lives are intertwined with digital technology and the best thing we can do is to remain aware and educated. there are some pros and cons from third parties tracking our digital footprint . .

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Pros:

Fraud or legal issues can more easily be detected

Personalization (like suggested products or related advertising) serves to add value to our use of the Internet

Companies can more easily offer incentives based on interests and needs, sometimes resulting in cost savings

Cons:

Personal data can be used to generate revenue without our knowledge

It can be annoying and distracting to be constantly inundated with advertisements and information

Purchase behavior data may be used as a basis to reduce credit limits or increase interest rates