Remove Aggregator Remove Analytics Remove Lead Generation Remove Viral
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VCs eating our own dog food: Using technology and analytics to make better investments

David Teten

In liquid markets, most of the calories expended on technology and analytics are focused on trade selection, or “ origination ”. I walk through below how progressive investors are using technology and analytics throughout all of their operations. The 11 Steps of Investing in Private Companies. 1) Manage the firm . 3) Raise capital.

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I’ve Built Multiple Growth Teams. Here’s Why I Won’t Do It Again.

ConversionXL

I joined as employee 14 and spent a few years at this analytics startup, which was founded by Hiten Shah and Neil Patel. We ran A/B tests around the clock on our free-trial funnel for nine months and got these wins: Quadrupled monthly lead volume in one year; Tripled the conversion rate from visitor-to-trial signups on our homepage.

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Twitter Conversions: 7 Steps to Generate More Clicks

ConversionXL

Check aggregator sites that feature tweets. Viral Content Bee , my own platform, allows users to upload (non-promotional) URLs for others to share on a variety of social media platforms, including Twitter. For example, one of my Twitter lead-generation campaigns was based on giving away a free writing checklist.

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Cracking The Code: The Bessemer 10 laws of SaaS - Fall 2008.

Cracking the Code

In my case (LucidEra -- a SaaS analytics provider focusing on sales, marketing, and financial analytics), weve found that success requires not only building some best practices for analytics into our solution, but also coming up with a repeatable and scalable way to show the customer how to use the analytics and how to interpret the results.

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Eight Silly Data Things Marketing People Believe That Get Them Fired.

Occam's Razor

You end up paying substantial amounts of money to your analytics/big data vendor – for questionable value. Measuring Visits and Conversions in aggregate first and segmented by keywords (or even key word clusters) will get you on the path to showing real impact. Here's why… Real-time data is very expensive.

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