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34 Startup Metrics for Tech Entrepreneurs

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34 Startup Metrics for Tech Entrepreneurs

Courtesy of: Funders and Founders

34 Startup Metrics That Tech Entrepreneurs Need to Know

Today’s infographic comes from Funders and Founders and information designer Anna Vital, and it lists the important metrics to gauge traction and success of new startups.

Several years ago, a key challenge with launching a new tech startup venture was that there weren’t many precedents to follow.

  • How do you scale a company?
  • How do you measure growth and costs in a more meaningful way?
  • Does the company have real traction?

Of course, there were knowledgeable people in the tech ecosystem that knew these things – for example, venture capitalists and ex-founders that had been successful with previous ventures – but they were tough to gain access to, and many of their theories and best practices weren’t yet widespread.

Fast forward to today, and the practices around new startups are much more established. While this can be a blessing and a curse to new founders, at least a more standardized set of metrics helps to give founders a sense of where their company stands.

Key Startup Metrics, According to VCs

The infographic from Funders and Founders lists 34 startup metrics for founders to know – but which one should be a focus for new ventures?

Here’s what three bigtime VCs have said about the startup metrics that they consider to be most important at early stages:

“Month-over-Month Organic Growth”

For most companies, MoM organic growth is a very useful metric and depending on the base, 20–50% MoM growth can be good. Retention, referral, and churn are all things we look at, too.

– Aileen Lee, Cowboy Ventures

According to Aileen Lee, who originally came up with the “unicorn” term, organic growth is a particularly useful metric.

On the other hand, Bill Gurley of Benchmark says that monitoring conversions is a comprehensive metric that is a good proxy for several key business areas.

“Conversion Rate”

No other metric so holistically captures as many critical aspects of a web site – user design, usability, performance, convenience, ad effectiveness, net promoter score, customer satisfaction – all in a single measurement.

– Bill Gurley, Benchmark

Paul Graham, of Y Combinator fame, says that the metric depends on the stage. If you have revenue, then revenue growth is the metric you want. If you’re not there yet, user growth is a good proxy.

“Revenue Growth or Active Users”

The best thing to measure the growth rate of is revenue. The next best, for startups that aren’t charging initially, is active users. That’s a reasonable proxy for revenue growth because whenever the startup does start trying to make money, their revenues will probably be a constant multiple of active users.

– Paul Graham, VC and co-founder of Y Combinator

It should also be noted that the most relevant metric to you depends on your business model. For example, MRR (Monthly recurring revenue) and churn rates would be particularly important to SaaS (Software-as-a-service) startups, while MAUs (Monthly active users) and organic traffic may be more important measurements for online media companies.

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Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

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Visualizing AI Patents by Country

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

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Voronoi, the app by Visual Capitalist. Where data tells the story. Download on App Store or Google Play

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