Download the mp3 of the World Marketing Forum keynote (45MB, 50 minutes, Mexico City, July 1, 2009).
Transcript:
Ladies and gentlemen, it is an honor for me to be here and to talk to you about what I think it the most interesting, the most exciting thing I can talk to you about. Read the rest of this entry »
This keynote at the Facebook Developer Garage shares insights from Amazon.com that are relevant for app and game developers. The event was organized on February 25, 2009 by kontagent, a San Francisco startup I am advising.
This keynote, given on February 19, 2009 at Predictive Analytics World shows how predictive models can benefit from the Social Data Revolution [pptx | mp3]
Abstract:Technology affords companies unprecedented opportunities to interact with customers and employees. In any of these interactions, data is created. Yet most firms neither capture nor fully utilize those data to impact their bottom line and strengthen relationships with their customers. Product recommendations and behavioral targeting are early examples of leveraging new sources of data to predict customer behavior and preferences. The next iteration of these interactions, for example mobile phones, empowers owners to access richer data and discover new opportunities – with the possible inclusion of location data that enables companies to predict mobility patterns for marketing and planning purposes. Learn from the former Chief Scientist of Amazon.com how to create a comprehensive data strategy through:
In honor of the (approximate) 10th anniversary of the Cluetrain Manifesto, The Conversation Group organized a day of speeches and breakout sessions. They invited me to present my thoughts on Conversational Data.
I also uploaded the (unedited) audience feedback about my talk, and offer the mp3 of the 10-minute conversation with Doc Searls on the 10th anniversary of the Cluetrain Manifesto.
Enjoy!
ANDREAS WEIGEND SPEAKS AT SAP
Wednesday, April 16, 2008
3:30pm Networking Mixer (refreshments will be provided)
4:00pm - 6:00pm Presentation and Discussion
Building D, Southern Cross Room
SAP Labs, 3410 Hillview Avenue, Palo Alto, CA 94304
The production, aggregation, distribution, and consumption of data is changing dramatically. Traditionally, paid specialists actively collected data for a specific purpose. Now, we are flooded with data streams of intention, attention, situation, and location of individuals, plus data about personal relationships. In addition to these implicit traces of behavior, people contribute data explicitly on platforms for mapping, housing, automotive, and salary data.
The money is where data influence decisions. Most firms believe in internal transparency, basing decisions on data they collect. Few understand how they can benefit by extending this transparency to the outside. What data should the firm share with its customers so some of them can actually help the firm? A sound data strategy has become central to most firms.
Barriers to data business used to be high, including expensive infrastructure and complex business relationships. Infrastructure has now been commoditized; information asymmetries are being reduced by those companies that understand the new consumer data revolution. Relevant questions in today’s marketplace include: How can we set up a system (including incentives) so that people actually do contribute useful and truthful data? What properties does the market need to have so that collective intelligence emerges? What value can the firm create for the contributors to drive participation? It is their perception of this value that will decide whether they demand to be paid for their contributions, or whether they are willing to pay themselves? Finally, what should be the currency of the payments: money, attention, or even more data?
Just gave with Mingyeow Ng at SXSW to about 200 early risers the Sunday 10AM presentation The Science of Designing Interactions
“The Science of Designing Interactions” is a highly interactive session where together with the audience, we will co-create the next generation of metrics for engagement and interaction. We start with fun paradoxes of user behavior, exposing the systematic irrationalities of human decision making, and show their fundamental impact on designing interactions and incentives.
We then present metrics and methodologies used by companies to engage and entice users to contribute data through interactions with the site (e.g., Amazon.com) and with each other (e.g., Facebook):
- Create strong and weak virality: Leverage the latest insights into viral engagement and corresponding metrics;
- Model users in a scientific way: Do bold experiments and learn fast from results;
- Engineer for feedback: Nail the incentives and interactions for both implicitly captured and explicitly expressed feedback.
This session is about co-creation. We provide a framework and start you off, and you provide the fuel to take the group to insights none of us had before. Please share your examples, and let us co-create the key ingredients for the next generation of relevant metrics for engagement and interaction that will help you reach your goal of getting passionate users.
Dan Hon created on awesome quick writeup, and we have uploaded the slides (pdf) and mp3 (55MB) of the 60-minute presentation. Any feedback ist most welcome — please comment!