Choosing a Content Marketing Strategy for Your Startup


This post is by Tomasz Tunguz from Tomasz Tunguz


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For bloggers and content marketers, choosing the right content syndication tools to distribute posts is critical to developing an audience. The author/marketer must balance four attributes: distribution, measurement, retention and brand. Table 1: Balancing Syndication Tools Attributes Channel Distribution Measurement Retention Brand RSS Poor: only one subscriber Poor: volatile metrics Good but declining So so: controlled by RSS reader Email Poor: only one subscriber, double-opt in Poor: limited engagement stats Poor: Low unsubscribe rates; GMail filtering decreases visibliity Good: total control over UI Content Hubs Great: siphon site traffic, new readers Good: proprietary tools or GA Poor: often lacking follow or subscribe mechanisms Poor: limited control over UI Social Media Volatile: dependent on the audience but huge upside potential Great: use traditional web analytics plus follower data plus retweet So so: follower model creates 2 way relationship; no way to assure delivery Good: customize profile + traffic goes to website Continue reading "Choosing a Content Marketing Strategy for Your Startup"

Choosing a Content Marketing Strategy for Your Startup


This post is by Tomasz Tunguz from Tomasz Tunguz


Click here to view on the original site: Original Post




For bloggers and content marketers, choosing the right content syndication tools to distribute posts is critical to developing an audience. The author/marketer must balance four attributes: distribution, measurement, retention and brand. Table 1: Balancing Syndication Tools Attributes
Channel Distribution Measurement Retention Brand
RSS Poor: only one subscriber Poor: volatile metrics Good but declining So so: controlled by RSS reader
Email Poor: only one subscriber, double-opt in Poor: limited engagement stats Poor: Low unsubscribe rates; GMail filtering decreases visibliity Good: total control over UI
Content Hubs Great: siphon site traffic, new readers Good: proprietary tools or GA Poor: often lacking follow or subscribe mechanisms Poor: limited control over UI
Social Media Volatile: dependent on the audience but huge upside potential Great: use traditional web analytics plus follower data plus retweet So so: follower model creates 2 way relationship; no Continue reading "Choosing a Content Marketing Strategy for Your Startup"

Your Startup’s Three Horizons


This post is by Tomasz Tunguz from Tomasz Tunguz


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Credit: Karl Scotland When I started at Redpoint in 2008, I wanted to find every way of analyzing companies I could. Consultants scrutinize the inner-workings of companies daily and create simple frameworks for explaining their operations. So I bugged a handful of friends with experience at the Big 3 consulting firms for their most used frameworks. Recently I came across an old friend, a framework I studied then called McKinsey’s Three Horizons in The Lean Entrepreneur, an anthology of lean startup techniques and case studies.

Your Startup’s Three Horizons


This post is by Tomasz Tunguz from Tomasz Tunguz


Click here to view on the original site: Original Post




horizons.jpg Credit: Karl Scotland When I started at Redpoint in 2008, I wanted to find every way of analyzing companies I could. Consultants scrutinize the inner-workings of companies daily and create simple frameworks for explaining their operations. So I bugged a handful of friends with experience at the Big 3 consulting firms for their most used frameworks. Recently I came across an old friend, a framework I studied then called McKinsey’s Three Horizons in The Lean Entrepreneur, an anthology of lean startup techniques and case studies. The Three Horizons is a simple idea. Each project within a business follows an S-curve. At the beginning, the business must invest in the project, then if successful, the project grows and makes money, and last the project reaches maturity and declines. This is as true for startups as Fortune 50s. If a management team can take the profits from the first successful project Continue reading "Your Startup’s Three Horizons"

The Seed Investment Patterns of Billion Dollar Startups


This post is by Tomasz Tunguz from Tomasz Tunguz


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Over the past few years, there has been a pronounced shift in the seed market. VCs now participate quite actively in the market. As a result, seed investment volumes have roughly doubled in the past year. But is the seed strategy working for startups and VCs? Do hugely successful businesses raise seed capital? Do those businesses include VCs in their seed rounds? And most importantly, do the VCs follow on in the Series A?

The Seed Investment Patterns of Billion Dollar Startups


This post is by Tomasz Tunguz from Tomasz Tunguz


Click here to view on the original site: Original Post




Over the past few years, there has been a pronounced shift in the seed market. VCs now participate quite actively in the market. As a result, seed investment volumes have roughly doubled in the past year. But is the seed strategy working for startups and VCs? Do hugely successful businesses raise seed capital? Do those businesses include VCs in their seed rounds? And most importantly, do the VCs follow on in the Series A? To find the answer, I tabulated the early financing history for about 30 companies with $500M+ valuations (either private or public) founded in the past 8 years and sourced data from CapitalIQ and Crunchbase. What fraction of startups with recent billion dollar valuations or thereabouts raised a seed round? About 55%. What fraction of those seed rounds saw VC participation? 71%. In what share of cases did VCs in the seed round lead the Series A? Continue reading "The Seed Investment Patterns of Billion Dollar Startups"

The Founder’s Null Hypothesis


This post is by Tomasz Tunguz from Tomasz Tunguz


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Credit: xkcd.com Over breakfast, I caught up with a close friend, an entrepreneur who is exploring a number of ideas for his next venture. He and his co-founder want to test their way to success with the Lean Startup Model. But they have added a twist to the Lean Startup process I call the Founder’s Null Hypothesis. Here’s how it works: First, this entrepreneur assumes each of his ideas will fail - the null hypothesis.

The Founder’s Null Hypothesis


This post is by Tomasz Tunguz from Tomasz Tunguz


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null_hypothesis.png Credit: xkcd.com Over breakfast, I caught up with a close friend, an entrepreneur who is exploring a number of ideas for his next venture. He and his co-founder want to test their way to success with the Lean Startup Model. But they have added a twist to the Lean Startup process I call the Founder’s Null Hypothesis. Here’s how it works: First, this entrepreneur assumes each of his ideas will fail - the null hypothesis. Then, he and his co-founder write down a set of milestones or metrics that if achieved or proven would imply the idea is a good one. These tend to be quantitative customer feedback metrics. Next, the team allocates one to three weeks to achieve the milestones they created. If the team achieves them, they pursue the idea. The team assumes the burden of proof to show an opportunity exists and is worthwhile before writing Continue reading "The Founder’s Null Hypothesis"

Announcing Redpoint’s $16M Series A Investment in Looker


This post is by Tomasz Tunguz from Tomasz Tunguz


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Big data technologies like Hadoop, HBase, Redshift, Vertica and others store ever greater quantities of data. As the capacity to store this data increases, so does the importance of extracting value and insight from it. Big data adoption is a four step process: generate data, store data, hire specialists to analyze the data, and finally democratize data exploration. Today, businesses lack great data exploration tools. Looker has built those tools.

Announcing Redpoint’s $16M Series A Investment in Looker


This post is by Tomasz Tunguz from Tomasz Tunguz


Click here to view on the original site: Original Post




ScreenCapture at Sun Aug 11 15:06:39 PDT 2013.png Big data technologies like Hadoop, HBase, Redshift, Vertica and others store ever greater quantities of data. As the capacity to store this data increases, so does the importance of extracting value and insight from it. Big data adoption is a four step process: generate data, store data, hire specialists to analyze the data, and finally democratize data exploration. Today, businesses lack great data exploration tools. Looker has built those tools. Two hours before a meeting with the Looker team, I sent them a sizable data set. During the pitch, Lloyd Tab, Looker’s founder, grouped, pivoted and drilled into the data. He said to me, “I’ve bet you’ve never really understood your data before I showed it to you on Looker.” And I agreed with him. Looker is the tool to drive the critical last step of big data adoption. Looker enables anyone within an organization to ask and Continue reading "Announcing Redpoint’s $16M Series A Investment in Looker"