ConversionXL
AUGUST 19, 2016
This “gap” first came to fruition in 2009 when retailers decided that the best way to attract mobile users was to create a mobile application. These behaviors can be useful in investigating how different behaviors impact retention and churn, funnel conversion rates, and revenue. Aggregate Audience Data. Image Source.
Startup Lessons Learned
APRIL 14, 2009
Lessons Learned by Eric Ries Tuesday, April 14, 2009 Validated learning about customers Would you rather have $30,000 or $1 million in revenues for your startup? First of all, it means that most aggregate measures of success, like total revenue, are not very useful. April 14, 2009 3:09 PM Eric Santos said. Great post!
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Hearpreneur
JULY 8, 2017
7541547) from the USPTO in 2009. Some innovators with integrated business models like Kaiser Permanente are making great strides in aggregating your patient data and making it accessible to you. A “gamified” incentive structure is used to deliver cash rewards every 3 months.
Startup Lessons Learned
AUGUST 24, 2009
Lessons Learned by Eric Ries Monday, August 24, 2009 Marching through quicksand I have been spending a lot of time lately talking to people in various media companies: editors and agents, executives, journalists, producers and directors. Doug August 24, 2009 8:21 AM Hugh said. August 24, 2009 8:36 AM Erin said. Very smart stuff.
YoungUpstarts
FEBRUARY 11, 2019
Since you have access to intelligent information, the question becomes — how will you aggregate and leverage all this data? From awareness to post-purchase, analyzing the ups and downs of your strategy will show when to apply the gas (or brakes) with a customer and focus on retention.
Startup Lessons Learned
DECEMBER 14, 2009
Lessons Learned by Eric Ries Monday, December 14, 2009 Business ecology and the four customer currencies Lately, I’ve been rethinking the concept of “business model&# for startups, in favor of something I call “business ecology.&# Some ecosystems are stable, others malign, and others grow and prosper.
ConversionXL
OCTOBER 4, 2018
In 2009, Netflix offered $1 million to anyone who could improve the quality of its recommendation engine by 10%. The resulting visualization shows the tool’s prediction performance and correlations between datasets and retention. It took two years, but a team finally won. Netflix paid the bounty—then ignored the code.
Expert insights. Personalized for you.
48 
Let's personalize your content