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Cyber Geography – and why you need to know about it!


In a series of articles over the next few months I am going to take a look at the world of cyber geography, or location based services – a name which does little to convey the power of this niche area of the web, an area, in which applications are growing at an exponential rate and acting as the catalyst for some very innovative business applications.

Any physical business will tell you that just how successful you are will have a lot to do with being in the ‘right place’ at the ‘right time’. Even today “location, location, location” remains the mantra of many executive teams. Here are just a few of the statements regularly heard in the boardroom:

•    we have to be where our customers are;
•    we need to be close to our suppliers;
•    we need to be near a pool of skilled labour;
•    we need an office with the right address; and
•    we must be on every continent and in every high street.

Only recently, I was reminded about the importance of geography when a major chain store decided not to open a store in my hometown. Their justification, too few people within a 30-mile radius of the store and the wrong population profile.
 
BUT just how important is geography in the world of cyber business – surely geography is dead, after all your office can be anywhere, your customer base global and, in many cases, your products digital! So does location still matter?

In short the answer is an astounding YES – but for very different reasons than at the end of the last century.

It is a very different kind of geography that is transforming the way ‘SMART’ companies are using knowledge about ‘YOUR’ location to improve their business models.  

Knowing where you are, how you behave and anticipating what you might, or might not do next is big business!

To start off this series of blogs I would like to show you just how powerful adding geography can be!

The App I am going to take a look at is SONGKICK.
Before I start, you need to know a little bit about the customer for this App to fully appreciate its power. In this case that customer is me! You see as well as having an interested in social media, geography and the web I also love live music – anything goes – but to be honest you can’t beat good classic rock. The challenge is, of course, finding out when the bands you like are in town, where they are playing and how to get tickets?
I can’t quite count the number of times I have missed a gig because either I didn’t know it was on, or I found out after all the tickets had gone to those better informed than I.

This is where SONGKICK – ‘kicks’ in, a life changing App, and more importantly a clever way of getting me to part with my money.  So what does it do? and how does it work?

First you need to know that there are two versions, one that works with your PC or Mac and the second that works on a SmartPhone. Both do a similar thing, but it is the SmartPhone App that I will concentrate on here.

In short SONGKICK raids your ITunes library to identify the music you like, then checks the date and your predefined, or current location and alerts you to:
-    which of the bands, with tracks in your iTunes library are on tour;
-    if any of these bands are in your neigbourhood; and
-    where you can get tickets (which on-line agencies are promoting the concert).

….And it doesn’t stop there. You can go on and:

-    choose to buy a ticket;
-    share the info with a friend via email or one of a number of social networking sites;
-    add a note to your Facebook page indicating that you are going;
-    click through to the band’s web site to buy the latest CD/download; and
-    if you are really keen, find out where the band are playing next!

What is clever in SONGKICK is that different information is being combined to provide you with context specific, personalized recommendations that you can control, a key one being your location (geography).


The result is that through clever use of ‘local’ data mining, determining your position and intelligent web searching, the App encourages you to spend more on tickets than you would have done in a pre SONGKICK era; a very clever little App indeed.

Next time – I will be looking at the ‘geographical’ technology that underpins Apps like SONGKICK, in particular Global Positioning Systems (GPS) and Geographical Information Systems (GIS) and provide you with some background on where these technologies have come from and how they work.

In the meantime, I would love to hear from everyone about your favourite ‘Geography’ App – especially if it has convinced you to part with your hard earned money.

Measuring Mobile, Interview of Eric Peterson

Eric Peterson has released a new whitepaper (sponsored by OpinionLab), titled The Mobile Measurement Framework: Making Sense of Your Mobile Efforts in the Context of Your Business. The result of the whitepaper is a rich set of key performance indicators focused on user experience, interaction, engagement, and costs that can be applied to mobile sites, mobile applications, and traditional web sites easily, effectively, and inexpensively. I had a chance to catch up with Eric to get his insight on his Mobile Framework.

[Manoj]: Give us a holistic view of the whitepaper.

[Eric Peterson]: Our Mobile Framework white paper provides guidance to marketers and business managers tasked with developing, deploying, and evaluating customer-facing efforts in emerging channels. The goal of the paper was to provide a reasonably deployed set of metrics that can be used to tie fixed Internet, mobile Internet, mobile applications, and other emerging channels together.

A nice aside is that this framework and our use of Interaction, Engagement, and Positive Feedback can be applied not only to channels but also to individual technology efforts within the business. For example, one Web Analytics Demystified client is exploring how this framework can be applied to their investment into video. Another is deploying these metrics into their Social Media efforts.

[Manoj]: How is capturing voice of customer different in mobile vs. the traditional web?

[Eric Peterson]: The challenge is that “capturing voice of customer” is pretty diverse on the traditional web, which speaks to our observation that Voice of Customer is really many different efforts (satisfaction scoring, feedback gathering, polls, etc.) Some of these strategies require asking lots of questions which works great on big screens but not so great on smaller screens. On small screens, and especially in mobile applications, the “ease-of-collection” bar is higher and so the response user experience is even more important.

This is one of the reasons we were excited to work with OpinionLab on the paper — we think their approach is very sound and provides the easiest gateway to quantified and actionable information. Have a look at how Expedia.com has implemented their technology by way of example; you click “Feedback”, provide a numerical assessment, provide direct feedback, and you’re done.

[Manoj]: Do you think user experience is even more important in mobile?


[Eric Peterson]: I’m not sure I think it is “more important” in mobile. I think user experience is important ** everywhere ** and the challenge in mobile is that most companies are still working out what “good user experience” actually looks like. This is, of course, aggravated by the diversity of screens, applications, and platforms we reference in the paper — “good experience” on iOS will differ from Android, Blackberry, Windows, etc. and so our point of view is that reasonable, directly comparable metrics that tie fixed web, mobile, and other emerging channel efforts together is very important.

[Manoj]: What are some of the most useful KPIs in mobile? (with the understanding it’s contextually specific to the type of business)

[Eric Peterson]: Interaction, Engagement Rate, Percent Positive Feedback, and cost-related measures of each. Basically the bulk of the white paper describes our recommended key performance indicators for use in and across mobile and emerging technology efforts.

Wonderfully these are ** not ** contextually specific to business, mostly because it is incredibly difficult to create metrics that are business relevant that span these channels. For example, your web site likely exists to sell products, but your mobile site may or may not actually have a transactional component, your mobile app likely ** does not ** support transactions directly, and your SMS efforts almost certainly do not. In this case does it make sense to track “conversion rate” or “revenue per visit?”

Probably not.

Our point of view is that mobile and emerging channel efforts are going to happen and will hopefully be analyzed deeply based on the specific goal for each channel and technology type. The KPIs we describe in the OpinionLab paper power a higher-level view to let Executives compare the costs and relative response to each of these types of investments. With this data management can evaluate whether the level of investment in each channel is producing appropriate results (or if more investment or some other change action is required.)

[Manoj]: Will mobile users leave enough qualitative feedback on mobile in order for organizations to make educated business decisions?

[Eric Peterson]: Definitely. Have you had a look at Apple’s App Store recently? People seem to take great delight in providing this type of qualitative feedback — not always pretty, but often very useful. Even better, according to OpinionLab customers their mobile users are dramatically more likely to provide feedback, even if the absolute numbers aren’t as large today.

What’s more, it turns out that “educated business decisions” often times come from a single piece of feedback. In mobile and emerging channels you’re not necessarily looking for statistically relevant samples and calculate scores; you should be looking for direct feedback from actual users describing what is working and what is not working. If someone comments “your application does not work on Android phones” but you’ve invested thousands of dollars into Android … well, there is your action item.

Additionally, we specifically focus on “Percent Positive Feedback” as our recommended KPI because it is volume independent. Even at small numbers, if you get ten pieces of feedback, two of which score negative, two that score neutral, and six that score positive you’re doing a pretty good job. Especially when you track these numbers over time and use a directly comparable system across and between channels you start to develop a pretty good sense of where you are delighting your users (and where you need to work.)

BlackBerry App Usage Higher During Workday Than iPhone

As Apple announces new enterprise features in iPhone OS 4, Localytics reports in a new study that BlackBerry usage of mobile apps is higher during the work day than the iPhone. Weekend usage of BlackBerries is statistically identical to weekday usage. In contrast, iPhone owners use mobile apps more frequently on the weekend with the greatest difference at 2:00 pm EST when weekend usage is 40% higher than the same time Monday through Friday.

Localytics: Real-time Mobile Analytics

The web analytics experts who follow this blog are probably already fielding questions about analytics for mobile applications. And if you aren’t, you will soon. With 3 billion apps downloaded in the last 18 months (and that’s just for iPhone!) and almost 350 million mobile broadband subscriptions expected by the end of 2010, large brands and publishers are rushing to build mobile apps—and those apps will require mobile-specific analytic tools.

Localytics is a real-time mobile analytics solution that helps brands and publishers better understand their users, prioritize development, optimize marketing and generally make smarter business decisions. The open source iPhone, Android and BlackBerry client libraries can be integrated in just minutes. Highly granular data are collected and maintained, enabling dynamic segmentation analysis (e.g., device models by carrier), custom reports and daypart analysis. Of particular interest to web analytics experts, the detailed session-level data (not aggregated counts) can be exported for integration with Coremetrics, Omniture, Unica, WebTrends and others. A 1-minute video introduction and a fully functional mobile analytics demo is available.

20% of Mobile Users Using WiFi – Bango

According to Bango, over 20% of people visiting web sites to purchase content using their mobile phones are now connecting via WiFi. This presents a major challenge to both content providers and operators as these mobile visitors are unrecognized by the networks, making it difficult to sell and market mobile services to them and significantly impacting mobile content revenues.

Smartphones and high end mobile devices with WiFi, such as Blackberries, the Apple iPhone, Windows Mobile devices, Google Android and Nokia Series 60 (N95, etc) represent the fastest growing mobile phone segment. This means that WiFi is appearing more frequently as a primary connection method across a growing range of handsets, according to data recorded in Bango Analytics.

“The use of Wi-Fi on mobile handsets is becoming pervasive,” said Frank Dickson, Vice President of Research with analyst firm In-Stat. ”By 2010, In-Stat anticipates that 20% of the total WiFi chipsets will be used in mobile phones as manufacturers, currently led by Nokia, continue to ship an increasing number of WiFi enabled handsets.”

To access mobile services, customers can now easily connect via WiFi at home, in the workplace and in a variety of public spaces, meaning they are not going through their operator network and are therefore unable to automatically access operator billing and other common network services.

“An increasing number of phones automatically recommend WiFi as the preferred connection choice when available,” continued Dickson. “The result is that subscribers are using the WiFi benefits of high bandwidth and often free access to take advantage of mobile services that were formerly only accessed via the cellular network. The market has spoken and the market likes WiFi.”

Bango measures connection methods and conversion rates using its ground-breaking mobile analytics technology. Tracking these different connection methods over the last year has revealed that on average one in five connections is now via WiFi or other non-operator network. Customers connecting in this way cannot be authenticated to pay using simple operator billing which results in an inconsistent payment experience that slashes conversion rates and kills marketing ROI. The statistics also reveal that many customers that access their operator portals via WiFi are blocked, which prevents them from accessing or purchasing operator approved content and services.

In response, Bango is working closely with mobile operators and content providers to develop a unique mobile billing technology that allows customers connected over WiFi, and other non-operator networks, to continue to benefit from fast, consistent, operator billing.

“Operator billing delivers the highest payment conversion rates for mobile content,” says Ray Anderson, CEO of Bango. “These Bango statistics are both a warning and an opportunity for mobile businesses to ensure their mobile billing solution can secure the same high conversion rates from the growing number of WiFi connected customers.”

Ovum projects that smartphone shipments will grow by 18.7% this year and represent 29% of the market by 2014, while Gartner reports 36.4 million smartphones were sold in the first quarter of 2009. Bango predicts that by 2010 over a third of all mobile internet connections will be via WiFi.

To download a full copy of Bango’s WiFi market stats, visit www.bango.com/wifi

Do Cookies on Mobile Taste Better in 2009?

For many years now the use of cookies on mobile has left you with a bad taste; they have simply failed to work reliably to provide mobile web analytics data. But times are a changing…

Where cookies have been naively used for mobile products, the tracking of website visitors has often delivered far from accurate results and in recent years have given results significantly skewed towards the latest smartphones where cookie support is good enough.

Today we see a much improved market thanks in part to the Apple iPhone phenomonon and the competitive catchup by other leading phone manufacturers across all their handsets. Mobile browsers have now become more fully featured with support for the latest media and content.

In the last 18 months, the majority of new handsets support cookies correctly. However, relying on cookies alone is still not the best way to understand and engage with your mobile visitors. Here’s why:

  • To start with there are still millions of older handsets in the market that do not support cookies reliably. While this situation is improving daily, if you only using cookies you will still end up missing a large percentage of your customers.
  • We must also look beyond the handsets and browsers to the operators and the chosen network connections. Some operators systems still assume that handsets don’t support cookies correctly; they therefore grab the cookie and store it on their gateway server rather than on the device.

This behavior causes a whole range of inconsistencies with consumer identification, especially now we see consumers moving between operator internet or WAP gateway connections and local WiFi networks. In that instance the cookie that was stored on the operator gateway is no longer visible from the WiFi connection, typically resulting in new cookies and a new identity being set.

Lastly, don’t forget that mobile delivers far more than desktop – it’s not the poor cousin. Mobile phones have their own identity and are usually associated with a single customer. Bango is able to leverage this fact along with a range of industry partnerships to deliver a visitor identification system far more advanced than simple cookies.

You simply ask us for your visitor’s identity through a simple, consistent Identifier API. We use data gathered from our relationships and a decade of mobile knowledge about devices and operator gateways to deliver a consistent user ID that can be relied on. The Bango User ID is the best way to understand and build a strong lasting relationship with each of your customers.

Bango Releases Mobile Analytics v4

The latest version of Bango’s mobile analytics service, Bango Analytics v4, breaks new ground by providing mobile site owners with the most accurate mobile analytics in real-time. Importantly, it provides the same high degree of accuracy regardless of connection. It’s not unusual for smartphone users to swap between WiFi and operator networks as they move between home and the office. Below are the highlights of Bango Mobile Analytics v4:
  • Bango Analytics is about understanding your customers and with v4.0 our user identity system provides a unique user ID for ALL visitors. This gives an acccurate total for unique visitors and let you drill down to see more informtion about visitor.
  • You can now track unique visitors whether a mobile user connects via operator gateway, WiFi or home broadband – even if users change their connection, Bango still retains the ability to track them. Now everyone who interacts with a mobile website or mobile campaign has a privacy protected, unique user ID, no matter what type of network connection they use.
  • New advanced filtering and sorting enables precise segmentation of mobile data, so it’s quick to get to the results needed on a case by case basis. Select to filter any report by page, country, operator, device, time or date.
  • Unlike other analytics solutions, Bango Analytics works from your original “raw” data. We don’t pre-can reports and throw your data away. Our new data warehouse delivers even better performance and scalability, allowing us to record, enrich and report more information about your visitors.
  • Bango Analytics lets you see metrics by the hour so you can understand how a mobile marketing campaign is performing in real time and make any necessary adjustments to ensure campaign success.
  • Our device reporting now lets you view your visitors devices by manufacturer, model and version. Target your site or application to the most popular.
  • Bango Analytics records all the parameters passed on the URL. Many marketing tools pass important information with the URL and by recording all this information, it available to you for analysis.