Business Intelligence Architecture

Emerging Strategies to User Acquisition: Video from Casual Connect Panel
By February 20, 2013 Read More →

Emerging Strategies to User Acquisition: Video from Casual Connect Panel

Last week I participated in a panel at Casual Connect called “Emerging Strategies to User Acquisition”. I was honored to share the stage with Jussi Laakkonen from Applifier, Stefan Bielau, Erlend Christoffersen from Supercell, Gilad Rotem from InGaming, and Billy Shipp from Iddiction. Below you’ll find a video of the entire panel, which clocks in at [...]

Data-driven design vs. Data-prejudiced design
By February 18, 2013 Read More →

Data-driven design vs. Data-prejudiced design

I wrote a few weeks ago about the importance of tracking a basic portfolio of metrics that I called Minimum Viable Metrics. I argued that this is especially important on mobile, where product iterations are necessarily less frequent than on the web because of platform idiosyncrasies. My point was that any iteration containing more than one [...]

Analytics is not a cost center
By February 11, 2013 Read More →

Analytics is not a cost center

One innovation the freemium model brings to bear is analytics as a fundamental component of the product development lifecycle: since distribution (and thus customer adoption costs) are 0, behavioral customer data is available with enough volume to develop new streams of revenue from it. The freemium model accords an analytics team the opportunity to conceptualize [...]

Minimum Viable Metrics for Mobile
By February 5, 2013 Read More →

Minimum Viable Metrics for Mobile

(Dashboard template can be found here; source code on GitHub here) In freemium mobile, my experience has been that the principles of the Minimum Viable Product as a product strategy are respected but sometimes necessarily abandoned because the concept isn’t perfectly transferable to mobile platforms. The MVP approach was designed for a platform (the web) that allows [...]

Big Data in Mobile Gaming: Optimizing the User Experience (slides from IGExpo)
By February 1, 2013 Read More →

Big Data in Mobile Gaming: Optimizing the User Experience (slides from IGExpo)

Today I gave a presentation called “Big Data in Mobile Gaming: Optimizing the User Experience” at IGExpo in Tallinn, Estonia. The aim of the presentation was to provide a general overview of how an analytics system can (should?) inform the development process, with some attention paid to defining various metrics and the process of data-driven [...]

The secondary market for mobile user acquisition and some strategies for gaming it
By December 27, 2012 Read More →

The secondary market for mobile user acquisition and some strategies for gaming it

In a past professional life, I wrote algorithms on a commodity trading desk for an institutional investment fund. And over the past year, I’ve come to recognize the market for mobile users (which I call the secondary market for mobile users, or SMMU) as being fundamentally similar to that of other commodity spot markets, on [...]

2013 Predictions for Mobile Gaming
By December 23, 2012 Read More →

2013 Predictions for Mobile Gaming

2012 was an encouraging year for the mobile gaming industry: total revenues swelled to $4.5 billion, the number of iOS devices ever sold reached approximately half a billion, and two studios proved that the free-to-play business model is not only sound, but that it can generate absurd amounts of money.

The problem with mobile user acquisition, Part 2 of 2: Adverse Selection
By December 7, 2012 Read More →

The problem with mobile user acquisition, Part 2 of 2: Adverse Selection

Part One As I mentioned in the first post on this topic, a marketing manager knows only a few things about a user acquired from a mobile user acquisition network; one of those things is that the user was put up for sale.

The problem with mobile user acquisition, Part 1 of 2: The Law of Large Numbers
By December 3, 2012 Read More →

The problem with mobile user acquisition, Part 1 of 2: The Law of Large Numbers

Part Two When a marketing manager buys a user from a mobile ad network, he knows exactly three things about his purchase: The purchased user has a mobile phone and has installed at least one app; The user’s mobile phone model and geographic location; The developer of the app from which that user came was willing [...]

Ditch Tableau and use d3.js, Part 2 of 2: Access and allies
By November 18, 2012 Read More →

Ditch Tableau and use d3.js, Part 2 of 2: Access and allies

Part 1: MBAs shouldn’t do data analysis In Part 1 of this series, I argued that a centrally-hosted analytics system built on d3.js is superior to a Tableau-based (or some other proprietary tool — I use Tableau in the example because it’s probably the most prominent in the gaming industry) system because it allows for [...]