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VCs eating our own dog food: Using technology and analytics to make better investments

David Teten

Private equity and venture capital investors are copying our sisters in the hedge fund world: we’re trying to automate more of our job. . In liquid markets, most of the calories expended on technology and analytics are focused on trade selection, or “ origination ”. 3) Raise capital. 1) Manage the firm .

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What I’ve Learned About Venture Funding

Both Sides of the Table

We’ve had just one market since then and it could confuse one into thinking: every deal finds downstream investors, every company good or bad finds a home, you know anything at all about brazil, india, china or even saas sales, ecommerce or analytics (you know all these in a bull market). The longer I do this the more humbled I become.

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After Ringing the IPO Bell

Seeing Both Sides

Your venture capital investors and many early employees head for the door and you are left holding the bag. Many analysts hammered Constant Contact shortly after the IPO, complaining about churn rates and missing the social marketing window. And sometimes their cool, analytical distance can be very valuable.

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Recurring Revenue is Magic

Seeing Both Sides

At Flybridge, we have added "business model", with a particularly weighting towards recurring models with high gross margins, as one of the important evaluation criteria when we make investment decisions alongside market and team, which are the two canonical criteria for all venture capital firms. .

Revenue 54
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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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Webinar Recap: 14 Tips on How to Pitch and Get Funded

Up and Running

If you’re online, it’s a little bit easier to track that through pay per click campaigns and things like that, because there’s a lot of analytics behind that so that you can track what that costs. Then referral rates and opt-out rates. What does that look like? How many people are going to leave?