Don't Take Your Mobile Device To The Bathroom
•
0 likes•1,662 views
The document discusses mobile analytics solutions for both websites and mobile applications. It provides an overview of web-based mobile analytics services, comparing their pricing models and metrics tracked. It also discusses device-level analytics solutions and methods for detecting mobile devices on a website, such as using the User-Agent header or a PHP/Javascript solution. Reasons to implement mobile analytics include improving decisions, learning about users' devices and usage patterns, and tracking custom actions and crashes.
Recommended
Recommended
More Related Content
Similar to Don't Take Your Mobile Device To The Bathroom
Similar to Don't Take Your Mobile Device To The Bathroom (20)
Recently uploaded
Recently uploaded (20)
Don't Take Your Mobile Device To The Bathroom
- 1. Don’t take your to the bathroom. Introduc)on to mobile analy)cs
- 2. Inspira)on • Ngmoco CEO presenta)on Neil Young “Why the iPhone has changed everything” at WWDC. “Basically, inside our games is a very powerful analy)cs package. We call it our eyes and ears. In that I can tell how many Maze Finger mazes you have completed, where you might get stuck in Topple – it was level four, by the way – where people touch the screen in Rolando.” Quote source: hOp://gamemakers.ngmoco.com/post/142272926/develop‐alan‐yu‐talks‐ngmoco‐app‐store‐and‐the‐rise
- 3. There are two ways to break them up • First, there are analy)cs services that are focused on tracking a variety of metrics for mobile websites. • The other mobile analy)cs market is focused on tracking an assortment of metrics for mobile applica)ons. • We’ll talk about both!
- 4. How do you choose which one is best for you? • If you’re are just trying to track traffic to a mobile website or trying to determine if you need to implement some sort of mobile site on your current site, you’d most likely choose one of the web‐based analy)cs solu)ons. • If you’re trying to determine applica)on level sta)s)cs then you’re most likely going to want to choose a device‐level analy)cs solu)on.
- 6. Web‐based mobile analy)cs • There are quite a few web‐based analy)cs solu)ons. I’ve decided to do a comparison of three (found with Google) to bring forth current trends and commonly tracked metrics. • I’ve decided to break these down based on price and metrics.
- 7. The prices Price per 1,000 page views Mobily)cs Bango Amethon $1,200 $1,000 $1,000.00 $800 $600 $499.00 $400 $250.00 $250.00 $200 $149.00 $79.00 $49.00 $0 0 0 5000 10000 15000 20000 25000 *There isn’t a consensus in the market regarding price currently. There are free op)ons if your traffic is low enough.
- 8. The metrics Metrics Bango Amethon Mobily4cs Bandwidth (total, average " " " per visit, total per file type) Hits (average per visit, " " " number of downloads, page view breakdown) Visits (entry page, average " " " dura)on, click paths, referring search engine) Visitors (browser type, user " " " agent, opera)ng system) Handsets (make, model, " " " screen resolu)on) Mobile Operator " " " (country of origin, operator name) Geo Loca)on (country of " " " origin, RDNS lookup) *They all offer the same features at the moment. No one company appears to be leading the market with beOer technology than another.
- 9. A few reasons why you might want to implement mobile analy)cs on your site. • Find out which mobile plamorms and carriers or MNOs (mobile network operators) are visi)ng your site most • Track popular screen sizes and resolu)ons • Determine loyalty over different geographies and )me periods.
- 11. Targe)ng a Mobile Device Methods in which to target a mobile device on your current site.
- 12. There are quite a few methods to target mobile devices on your site. • WURFL (Wireless Universal Resource File) – hOp://wurfl.sourceforge.net/ – The WURFL is an XML file that contains info about features & capabili)es of many mobile devices. • Server‐side detec)on methods i.e. using PHP • Client‐side detec)on methods i.e. using Javascript
- 15. Iden)fying a mobile device using the User‐Agent header • Each mobile device has its own User‐Agent header • There are detec)on models such as UAProf – With UAProf, the mobile device model and manufacturer name are available inthe Model aOribute and the Vendor aOribute of the HardwarePlamorm component respec)vely.
- 16. Basic ways to differen)ate Mobile devices or User‐Agent headers • The word "nokia" can be found in the User‐Agent header of Nokia cell phones. • The word "motorola" or "mot‐" can be found in the User‐Agent header of Motorola's cell phones. • The word "samsung" or "sec‐" can be found in the User‐Agent header of Samsung's cell phones. • The word "lg‐" can be found in the User‐Agent header of LG's cell phones. • The word "sonyericsson" can be found in the User‐Agent header of Sony Ericsson's cell phones. • The word "sie‐" can be found in the User‐Agent header of Siemens' cell phones. • The word "up.b" or "up/" can be found in the User‐Agent header of cell phones that uses the Openwave Mobile Browser. The Openwave Mobile Browser can be found in many cell phone models made by a variety of manufacturers such as Motorola, Samsung, LG, Siemens, etc. • Note: UAProf is a more elegant way of differen)a)ng manufacturers of mobile devices. Source: hOp://www.developershome.com/wap/detec)on/detec)on.asp?page=userAgentHeader
- 18. Device‐level mobile analy)cs • Using the same method previous (using Google), I’ve managed to round up a few device‐level analy)cs services that I thought were interes)ng and offer a nice set of features. • There are quite a few available. • Most and all of the ones I found require some dev )me for installa)on.
- 19. A few reasons why you might want to implement mobile analy)cs in your app • Improve decisions ‐ know exactly how, where, when and by whom an applica)on is used. • Learn what handsets and carriers your applica)ons run on. • See user and session data per applica)on, by frequency, dura)on, loca)on. • Track customized ac)ons e.g. High scores shown • Track crashes and applica)on failures
- 20. The prices Price per version type Pinch Media Flurry Motally $1,000 $800 $600 $400 $200 $0 Community version Enterprise version
- 21. The metrics Metrics Pinch Media Flurry Motally Users (total, new, unique) " " " Ac)ons/Events (allows " " " customized callbacks or occurrences) Sessions ()me per user, " " " total session )me, session coun)ng) Handsets (make, model, " " " screen resolu)on) Mobile Operator " " " (country of origin, operator name) Geo Loca)on (country of " " " origin, RDNS lookup) *Again, they all offer the same features. In my opinion, I would say Motally is best of the three for enterprise customers because they have a pricing model in place. I’d rather not start using a free service and then be told the features I’ve been using are going to cost x amount.
- 22. The supported plamorms Pinch Media 0% Flurry Android Blackberry 100% iPhone 25% 25% Java ME Android Blackberry 25% 25% iPhone Java ME Motally 0% Android 50% 50% Blackberry iPhone Java ME
- 23. An example implementa)on • I chose to use Pinch Media’s analy)cs library because it was best documented.
- 25. Steps to implement • Apply for an applica)on code by submiyng your applica)on (I created a simple test app).
- 30. The dashboard
- 31. To conclude…
- 32. To end. • From what I’ve seen by looking at 6 mobile analy)cs services is that there is really no one that stands out by offering metrics with the “coolness” features that I was hoping to find. • However, I was just recently invited to join a site named PercentMobile (percentmobile.com) and I think they may be trying to get there.