Nov 1 09

THIS is how you do a branded app

by andrew pascoe

For the last few months every time the idea of an app comes up in a brainstorm or client meeting (whether a mobile app - invariably an iPhone app - or something like a Facebook app) I say the following: Unless it’s a killer idea - a truly useful or entertaining app that almost has the brand secondary to the overall user experience - why insist on building your own*? Why not look for an existing app that fulfils a similar objective, and partner with them by giving them budget to add a feature or content that their users - your consumers - want?

Via Dave King at The Royals, here is a great example of that: Volkswagen for the new VW GTI have teamed up with the Real Racing game - an existing iPhone app with an existing (and large) user base:

“Providing a highly playable 3D game with fairly lavish production values in exchange for this kind of brand exposure seems fair. And now, in the last day or so, the developers of Real Racing have pushed the VW content into the massive install base for the original game. This strikes me as one of the smartest digital media investment strategies I’ve seen. Rather than fund the complete creation of they leverage something with an existing fan base and add great content with virtually no need for media spend at all.”

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Oct 30 09

Demand truly mining the web

by andrew pascoe

Normally I’d just post a link to and/or excerpt from this over on my tumblr here, but this is something I wanted to draw more attention to.

It’s all about Demand Media - the link itself is an article in Wired magazine, a profile on the company - a company that decides what video content to produce based on an algorithm that looks at a) demonstrated user demand for specific content, based on search engine and ISP data , b) value of specifically-related keywords - including life-time value not just immediate value, and c) the level (lack of) competition around that specific content.  And then they use a system not unlike Amazon’s Mechanical Turk to actually get the video content made by freelance workers.

Why do I like it? Because both its scale and its core reason for existing is simply something that, before “the internet”, could not have been dreamed up, let alone executed.

But what Demand has realized is that the Internet gets only half of the simplest economic formula right: It has the supply part down but ignores demand. Give a million monkeys a million WordPress accounts and you still might never get a seven-point tutorial on how to keep wasps away from a swimming pool. Yet that’s what people want to know.

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Oct 26 09

Amazon combines mobile with Mechanical Turk

by andrew pascoe

(Warning: if you already know about Amazon’s Mechanical Turk, this is probably a post for you to skip. Just take away  the news that Amazon’s new iPhone app has a great camera feature that makes use of mechanical turk)

Here’s something I wanted to point out today (I found the news of the app itself here on NMA) – not because it’s another iPhone app, but because it illustrates one use of some  fundamental differences in economic models possible because of the internet and unlimited scaleability through bits & bytes.

The background:

For those who don’t know Amazon don’t just do books and e-tailing :

  • Quite some time ago they realised that they could take their prowess in computing, and their sheer size and economies of scale, open them up to small to medium (to large) companies who had a need for on-demand storage and processing power, and start making additional revenue that way.
  • That’s where Amazon S3 and EC2 have come from – storage and elastic computing products respectively. S3 particularly is very widely used amongst new and not so new web start-ups as it provides them a simple, scaleable, cheap way to, for example, hold a bunch of user images or data (Twitter for example does some of its storage with Amazon).

In a similar way, Amazon have an offering called Mechanical Turk:

  • Like S3 and EC2 above, it came from their own needs but is now available to any developer that wants to make use of it.
  • What is Mechanical Turk?  It’s a system that lets you send out little tasks to humans spread all/anywhere over the world to complete. These tasks are things that computers just cannot handle yet - things like image recognition, or transcription of audio files, or de-duping of complicated data such as book titles with different ISBNs.
  • You get to set a price for each task and the workers get to pick and choose which tasks to work on.
  • The results of the tasks can then be fed back into your own programme or database or site.

(You can find out more about Mechanical Turk at Amazon’s website)

Amazon’s own iPhone app below is one awesome way this is being put to use.

Using Mechanical Turk in an iPhone app

Amazon have just released an iPhone app here in the UK. It has the usual search and buying functionality that you’d expect; account history etc etc.

But it has a cool extra functionality:  You can take a photo of something you want to “remember”, and it will find that product in its catalogue, so you can purchase right then and there.

I just tried 3 different products, and got the answer back for all 3 in well under 4 mins.   (They’re calling the feature “Amazon Remembers”.)

How does it work?

  • Automatically Amazon’s system approximates the image to a shortlist of images from potential matching products (maybe 3 or 4 I would guess, depending on how complex the image is)
  • Using Mechanical Turk, my exact image and the shortlist of potential match candidates is added to the jobs queue. This jobs queue is the thing that 1000s of people keep an eye on – they select any job they like to work on. Their task for this particular job is to pick which of the shortlist is in fact the product I took a photo of.
  • The answer is then sent back to Amazon, and to my phone.
  • Because of the scale of all of this, there’s every probablity in reality an extra “safeguard” that Amazon implements, to increase accuracy of the result sent to me:  my picture will in fact be duplicated as a number of different jobs (who knows the number, but the economics of it all mean it could easily be 10 or 20  or 30 times). The Amazon automated system will then see how much all the different answers from the different jobs are in agreement, and send me the one that fits their criteria of “right” (so it might be the most popular one, or the one that 90% of their task responses said).
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Oct 18 09

Monday reading list

by andrew pascoe

A couple of things to read for the start of the week (the last week of daylight savings by the way, for northern hemisphere-ers):

  • PaidContent UK has a good interview here with Daniel Ek from Spotify where he talks about the need for a mix of ad-supported and paid models, as well as the future of Spotify aiming for an “integration into existing billing methods” (eg buy a TV, get a year’s worth of access to Spotify through that device).
  • Tim at Made by Many has a great blog post on what the “optimal platform job” might look like (make sure you read all the comments from people too). There’s a lot I’d quote here, like the four elements needed, and the part about needing to breathe digital, but I’d suggest you just go and read the whole post instead.
  • Simon has a great blog post about media myopia where he highlights that while anything can be media, the industry is still too stuck in its ways (not least because of commission-based revenue structures resulting in an over-reliance on bought media). One part of his post: “It highlights a ‘menu’ approach that continues to stifle media planning; an apporach that erodes the value we should be adding to our clients’ businesses, and destroys their trust in our work.”
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