Syl is the Head of Growth & Operations at Census. He's a revenue leader and mentor with a decade of experience building go-to-market strategies for developer tools.
The push for digital and physical personalization is more than a luxury – it's a necessity. Discover how warehouse-native Data Activation is key to driving personalized experiences & strategic growth.
Marketing attribution is a beautiful thing. But when current software solutions are lacking, where do you turn? Here's how to leverage SQL to optimize your marketing strategy and drive success.
Google Cloud has announced new BigQuery editions with flexible pricing options to cater to your team's diverse data needs. Here's what that means for you.
You need accurate and complete data to target the right audiences at the right time. And to achieve this data quality, you need to enrich your data. Check out this beginner's guide to data enrichment.
CDPs claim to be a single source of truth for your data. Newsflash: They're not. Luckily, you can turn your real source of truth (your data warehouse) into a composable CDP by adding data activation.
Five years ago, CDPs seemed like the best solution for marketing teams to collect customer data. Now, data-forward companies are shifting toward an alternative: Activating their data warehouse.
The tide is shifting away from CDPs and towards the data warehouse. And if you can’t access it, or don’t know about it, you’re missing out. Here's why.
Now announcing Sync Sequences, allowing you to run a sync based on the successful run of another sync. Say hello to dependencies between syncs and goodbye to orphan contacts.
iPaaS tools are great for moving single pieces of data from one system to another. But there’s a better way to sync large volumes of data at scale: Reverse ETL.
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.
You shouldn't have to worry about sync scheduling. That's why we're excited to announce trigger syncs via API and dbt Cloud. Free yourself from sync scheduling stress.
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 value of a data team is to make the company data-driven. A data-driven organization makes sure people are empowered by data to make the right decisions. That's why data is a people problem.
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.
Why do so many data teams find it hard to get a seat at the table in nominally “data-driven” companies? This is one question among several we set out to answer.
It's pretty clear: You've been tracking event data for some time now. You have pretty timelines and some basic automation. But now what? It's time to transform that data and put it to work.
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.
If you are in the market to buy a Cloud warehouse, look no further than Snowflake. Yes, there are other options, but honestly, Snowflake is currently the best. Here's why.
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.
Analytics Engineer: A new role that wields a lot of responsibilities in an organization and acts as the glue between data/biz analysts and data scientists.
With our Intercom Connector, you can now use aggregate metrics and product data to create more granular segment of your users and send more personalized emails & in-app messaging.
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
Sylvain Giuliani and
Jun 08, 2020
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