Category Archives: ReadRec/ForLater/Links

Links on mobile app tracking for marketing

The history of use of unique identifiers for iOS products, UDID, MAC, browser cookie, OpenUDID. From May 2012.

http://www.cultofmac.com/160248/what-the-hell-is-a-udid-and-why-is-apple-worried-about-them-feature/2/

Mobile App Tracking, a company that boasts clientele like Zynga and LivingSocial, has proposed device fingerprinting. This approach is rather scatterbrained, as it needs apps to collect various bits of data about your iPhone (location, IP address, iOS version, etc.) and combine them together into one unique identifier. Unfortunately, users cannot easily opt out of fingerprinting or reset their device fingerprint altogether. There’s plenty of room for discrepancies since all of these bits of data can be meshed together and lose their accuracy over time. Device fingerprinting also requires licensing fees, so don’t expect it to gain widespread adoption.

And the history continues, idFA (Apple’s ID For Advertising) , articel from August 2013

http://www.adexchanger.com/data-driven-thinking/want-to-make-mobile-advertising-work-for-you-get-off-the-cookie-diet/

Though,

The main drawback to dynamic device IDs is the inability to support cross-device and cross-channel advertising performance attribution.

There are a few industry players working to address the attribution problem by creating an advertiser-agnostic central clearinghouse, where consumers opt in to a universal ID that can be used for targeted advertising and to measure engagement. This approach suffers from a heavy reliance on consumer and market education, and perhaps unrealistic expectations for consumer adoption and industry standardization.

Until then, we have to go back to our roots in science and math and to refocus on users rather than devices to overcome the limitations of cookies in mobile. Applying statistical probabilities to user behaviors online enables advertisers to estimate the likelihood that a user of one device is the same user of any other device, including tablets, smartphones, digital TV, desktop or any other digital device.

http://www.drawbrid.ge/  seems to do this.

“IDFA is back” , April 2014: 

http://www.appsflyer.com/idfa-is-back/

Mobile analytics:

https://count.ly/

http://piwik.org/blog/2012/04/how-to-use-piwik-to-track-mobile-apps-activity-clicks-phones-errors-etc/

Other relevant articles,

RTB, desktop ad networks coming to mobile ad networks, August 2013

http://www.admonsters.com/blog/id-key-unlocking-mobile-tracking-cross-device-measurement-part-i

Big Brands on mobile advertising

Mobile, Mobile Everywhere – But Where Are The Brands?

Attribution

Google To Buy Marketing Attribution Pure Play Adometry

How are the Top 100 Retailers Scaling for Mobile?

Heidegger on Technology from Stanford Co…

Heidegger on Technology from Stanford

Contents of the entry
Phenomenological Approaches to Ethics and Information Technology””

* 1. Views on the Nature of Information Technology
o 1.1 Information Technology as an Artifact or Tool
o 1.2 Information Technology as Socially Constructed Artifacts and Actors
o 1.3 Information Technology as an Ongoing Horizon of Meaning and Action
* 2. Phenomenological Approaches to Technology
o 2.1 A Fundamental Critique of the Technological Attitude
o 2.2 The Technological Attitude in Contemporary Society and Technologies
o 2.3 A Phenomenology of the Human/Technology Relationship
* 3. Ethics and Information Technology
o 3.1 The Impact of Information Technology and the Application of Ethical Theory
o 3.2 The Politics of Information Technology and a Disclosive Ethics
o 3.3 Information Technology, Ethics and our Human way of Being
* 4. Phenomenology, Ethics and Information Technology: The Case of Virtuality
* 5. Conclusion
* Bibliography
* Other Internet Resources
* Related Entries

http://plato.stanford.edu/entries/ethics-it-phenomenology/