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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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How Private Equity and Venture Capital Investors Are Eating Their Own Dogfood

David Teten

However, about 5% of the VCs in our database, mostly younger ones, are trying to build a competitive advantage by crawling large amounts of publicly available data and building analytical functions to flag companies with accelerating traction to them. ” Historically, investing was a manual, artisan process. Two Sigma Ventures.

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Excellent Analytics Tip #24: Obsess About Real Business Profitability

Occam's Razor

" comfort zone, and out of your Google Analytics, Site Catalyst, WebTrends worldview silo. Part of the reason is that the data you to which you have access narrows your worldview – "Hey, all I have is Google Analytics, so all I'll look at is Google Analytics data!" The answer is simple: Aggregators.

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7 Incredible Web Design, Branding, Digital Marketing Experiences

Occam's Razor

There is a lot any business — B2C, B2B, A2Z — can learn from Songza. by creating a great experience, reassuring me with clear pricing, and they won't even have to pay a bounty to their aggregators! You have free tools like Google Analytics Content Experiments (now with the power of multi-armed bandits !),

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How to Come Up with More Winning Tests Using Data

ConversionXL

It’s not like you open up Google Analytics and the data will come telling you stuff. B2B and B2C. When you start digging in the analytics data and putting together user testing plans and what not, make sure you investigate that stuff – with the intention to validate or invalidate whatever you found. Probably not.

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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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Say Hello to My New AI Marketer: How Gen AI-Based Software Is Advancing Marketing and Sales

Ben's Blog

We are just beginning to see companies that are using AI agents to complete narrow, end-to-end (e2e) marketing tasks: A/B testing specific campaign assets, optimizing ad bidding and buying, tracking attribution and analytics, iterating content based on performance, and then making creative decisions (vs. sales leads vs. products sold).