Part two of our Product Data to Revenue series explains how to put your product usage data where it counts. By stretching your existing resources, you can actually do more with less, and turn your customer data into expansion revenue. Here's how.
Rather than empowering teams, they often have to choose between fresh or accurate data; being able to trust it, or taking quick action on it. Operational Analytics solves this pain point to drive action w/ real-time data to all the tools you need.
Feel like you should be able to do so much more with all that data you've been collecting? Now a new class of data tools known as reverse ETL (rETL) can help you move data from a data warehouse into 3rd-party systems to make data operational.
We’ve identified a few trends in the world of data and tried to draw out some useful takeaways. Of course, take these trends with a grain of salt. In March, aliens might land to sell us all on the newest, coolest data warehousing technology.
The short answer is, nobody can know right now. 🤷♂️ But there is a clear gap in the ideal analytics stack that hasn’t been filled yet and a new responsibility placed on data teams that is still being defined.
Attribution modeling lets marketers have a better understanding of the effectiveness of their marketing channels so they can optimize their sales funnels to bring in new sales and improve customer experiences.
Want to gather insights around to customer churn, lifetime value, product engagement, stickiness, and more? Cohort analysis in SQL lets you conduct analysis of several different groups to understand behaviors, patterns, and trends.
Part one of our Product Data to Revenue series is delivering the cold, hard truth: Product-qualified leads (PQLS) have made their predecessors obsolete. Whether you like it or not, you need to leverage them to find your ideal customers.
For the past 6 months, companies and newly formed RevOps & Data teams are hitting the limits of the "Founder Data Stack" (one marketing/sales tool that holds most of your customer data). Here's what you can do instead.
Sylvain Giuliani and
Jun 08, 2020
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