Data Jujitsu: The Art of Turning Data into Product by Patil DJ
Author:Patil, DJ
Language: eng
Format: epub
Published: 2014-02-26T18:16:45.149000+00:00
Give data back to the user to create additional value
By giving data back to the user, you can create both engagement and revenue. We’re far enough into the data game that most users have realized that they’re not the customer, they’re the product. Their role in the system is to generate data, either to assist in ad targeting or to be sold to the highest bidder, or both. They may accept that, but I don’t know anyone who’s happy about it. But giving data back to the user is a way of showing that you’re on their side, increasing their engagement with your product.
How do you give data back to the user? LinkedIn has a product called “Who’s Viewed Your Profile.” This product lists the people who have viewed your profile (respecting their privacy settings, of course), and provides statistics about the viewers. There’s a time series view, a list of search terms that have been used to find you, and the geographical areas in which the viewers are located. It’s timely and actionable data, and it’s addictive. It’s visible on everyone’s home page, and it shows the number of profile views, so it’s not static. Every time you look at your LinkedIn page, you’re tempted to click.
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8309)
Azure Data and AI Architect Handbook by Olivier Mertens & Breght Van Baelen(6789)
Building Statistical Models in Python by Huy Hoang Nguyen & Paul N Adams & Stuart J Miller(6765)
Serverless Machine Learning with Amazon Redshift ML by Debu Panda & Phil Bates & Bhanu Pittampally & Sumeet Joshi(6648)
Data Wrangling on AWS by Navnit Shukla | Sankar M | Sam Palani(6438)
Driving Data Quality with Data Contracts by Andrew Jones(6376)
Machine Learning Model Serving Patterns and Best Practices by Md Johirul Islam(6137)
Learning SQL by Alan Beaulieu(6003)
Weapons of Math Destruction by Cathy O'Neil(5795)
Big Data Analysis with Python by Ivan Marin(5388)
Data Engineering with dbt by Roberto Zagni(4392)
Solidity Programming Essentials by Ritesh Modi(4042)
Time Series Analysis with Python Cookbook by Tarek A. Atwan(3899)
Pandas Cookbook by Theodore Petrou(3601)
Blockchain Basics by Daniel Drescher(3305)
Hands-On Machine Learning for Algorithmic Trading by Stefan Jansen(2914)
Feature Store for Machine Learning by Jayanth Kumar M J(2819)
Learn T-SQL Querying by Pam Lahoud & Pedro Lopes(2802)
Mastering Python for Finance by Unknown(2748)
