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In June, Frank Bien and I published our book, Winning with Data. It describes through case studies how some of the most successful startups use data to create sustainable competitive advantage. Since then, we’ve sold thousands of copies. Today, we’re releasing an Audible version of the book. I have 8 free copies to give away to readers. If you’d like to throw your hat in the ring for one of the codes, please answer a one question survey about SaaS startups.
Bookings, MRR, Revenue. All these metrics form part of the financial statements of SaaS companies. For as long as SaaS companies have existed, we’ve used one way of counting revenue, called GAAP. Starting in 2017, revenue recognition for SaaS companies will change, and SaaS startups will have more flexibility in the way they record revenue than in the past.
ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!
As a SaaS startup begins to reach critical mass, the business generates more of its revenue from upsells and expansions, reaching about 30% at between $40-75M in revenue, which is in line with some of the models we’ve created. Many times startup teams ask how to compensate a sales team for renewals and upsells. The 2016 PacCrest Survey contains a wealth of information about these types of go to market questions.
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