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Can You Trust Any vc's Under 40?

Steve Blank

Posted on September 14, 2009 by steveblank Over the last 30 years Wall Street’s appetite for technology stocks have changed radically – swinging between unbridled enthusiasm to believing they’re all toxic. 2009 – Back to The Future The bad news is that since the bubble most VC firms haven’t made a profit. So what’s left?

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How to Handle Mobile “Moneyball Syndrome” & Cross-Device Attribution

ConversionXL

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. Inspired by the movie ‘Moneyball,’ MoneyBall syndrome refers to the fact that companies aren’t looking into the right metrics when measuring the effectiveness of their mobile website.

Mobile 48
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Marching through quicksand

Startup Lessons Learned

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. My blog has over 14000 subscribers, for example. Is that a lot? And how could they possibly review a blog?

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Lessons Learned: Sharding for startups

Startup Lessons Learned

Lessons Learned by Eric Ries Sunday, January 4, 2009 Sharding for startups The most important aspect of a scalable web architecture is data partitioning. For example, Friendster was famously vertically partitioned at one time in its growth curve. January 5, 2009 9:36 AM Eric said. Key-based partitioning. to store it.

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The SMB Guide To CRM In 2019

YoungUpstarts

Since you have access to intelligent information, the question becomes — how will you aggregate and leverage all this data? Today’s best SMB-focused CRMs capture metrics more effectively than ever before. In 2006 and in 2009, John was awarded the Technology Executive of the Year, and the Titan of Technology awards by the CTA.

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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

Many vendors now aggregate this real customer data and present it in the form of benchmarks that you can use to index your own performance. In all three cases, you can compare your performance to specific vertical markets (for example, retail, apparel, software, and so on), which is much more meaningful. numbers for various industries.

Analytics 123