View from Seed

SEPTEMBER 14, 2021

Warning – this assumes some basic knowledge of VC performance metrics. One thing that jumps out quickly is that TVPI between 2004-2010 (avg 2.6x) has underperformed 2011-2017 (avg 3.0x). The chart below illustrates this, with the black vertical line representing the average VC return. Ok, let’s jump in. Source: AngelList.

Valuation 319

Valuation Pre-Money Valuation Distribution Early Stage 319

Steve Blank

SEPTEMBER 14, 2009

What this meant for entrepreneurs and VCs was a bit more complex– the IPO market was all but closed (with the Google IPO in 2004 as a brilliant exception), but it was possible find a buyer for your company. My experience of 2001-2004 is very remote from what you are describing. My own metric is that you need experience >= 1.5

Silicon Valley 217

Silicon Valley IPO Technical Review Venture Capital 217

View from Seed

SEPTEMBER 14, 2021

Warning – this assumes some basic knowledge of VC performance metrics. One thing that jumps out quickly is that TVPI between 2004-2010 (avg 2.6x) has underperformed 2011-2017 (avg 3.0x). The chart below illustrates this, with the black vertical line representing the average VC return. Ok, let’s jump in. Source: AngelList.

Valuation 295

Valuation Pre-Money Valuation Distribution Early Stage 295

View from Seed

SEPTEMBER 14, 2021

Warning – this assumes some basic knowledge of VC performance metrics. One thing that jumps out quickly is that TVPI between 2004-2010 (avg 2.6x) has underperformed 2011-2017 (avg 3.0x). The chart below illustrates this, with the black vertical line representing the average VC return. Ok, let’s jump in. Source: AngelList.

Valuation 156

Valuation Pre-Money Valuation Distribution Early Stage 156

ConversionXL

JUNE 5, 2014

Improving each of these areas might boost your customer retention – BUT it’s only by scrutinizing your customer facing metrics & direct customer feedback that will provide you with your top priorities. Retention, along with many of our usage metrics, have improved as a result of some of these changes. million in 2004 to $6.5

Retention 115

Retention Customer Developer Programming 115

ConversionXL

JUNE 5, 2014

Improving each of these areas might boost your customer retention – BUT it’s only by scrutinizing your customer facing metrics & direct customer feedback that will provide you with your top priorities. Retention, along with many of our usage metrics, have improved as a result of some of these changes. million in 2004 to $6.5

Retention 112

Retention Developer Customer Programming 112

ConversionXL

JUNE 5, 2014

Improving each of these areas might boost your customer retention – BUT it’s only by scrutinizing your customer facing metrics & direct customer feedback that will provide you with your top priorities. Retention, along with many of our usage metrics, have improved as a result of some of these changes. million in 2004 to $6.5

Retention 105

Retention Customer Developer Programming 105