Census’ Post

We're over the moon to announce that Census has been named Snowflake‎'s Marketing Application Partner of the Year 2024! 🎉 We were recognized for our achievements in real-time data syncing and marketing activation for 130+ mutual customers. Some key partnership highlights: 🏆 Joint Customer Success: Top enterprises such as HubSpot, Canva, Orangetheory Fitness, Crocs, Rippling, Sonos, and Notion have seen remarkable outcomes, including real-time personalization for 170 million users, a 50% reduction in customer acquisition costs, and a 33% increase in email open rates. 🏆 Maximizing Data Value: Over the past year, our shared customers have doubled their usage of Census, significantly increasing the volume of records synced from Snowflake to over 200 business destinations. 🏆 Innovative Product Development: In collaboration with Snowflake's product team, we introduced Live Syncs, the first and only real-time Reverse ETL for Snowflake that enables 100x faster and 100x cheaper data activation compared to traditional solutions. Read Luke Ambrosetti’s analysis of Live Syncs here 👉 ‎https://lnkd.in/gBKY2rWs A huge thank you to Snowflake for this incredible honor and to our amazing customers and partners for their continued support and collaboration. Here's to more innovation, growth, and success together! 🚀 See us this week at Snowflake Summit Booth #1313 and don't miss the Electric Data Carnival at Temple Nightclub on Wednesday June 5th at 9 pm. Check out the full blog post here to learn more about our partnership with Snowflake and the amazing results our customers are achieving: https://lnkd.in/ganutFJj

Introducing Observability Lake, another addition to the Census Observability Toolkit 🎉 Observability Lake allows you to store a comprehensive history of your sync data in your own cloud storage environment, using services like Amazon S3, Google Cloud Storage, or Azure Blob Storage. This pairs perfectly with last week's announcement of Sync Tracking, which provides row-level visibility into every sync run for faster and easier troubleshooting. Together, these features transform your storage into a powerful data lake for even deeper and more flexible historical analysis. Learn more in the blog: https://lnkd.in/gUqp8S-u

Resolving sync issues to maintain data integrity is crucial, but searching through logs to debug a sync can be time-consuming and frustrating 😓 ‎ Today, we're introducing Sync Tracking—a powerful new feature in the Census Observability Toolkit that provides row-level visibility into your syncs, making debugging and troubleshooting faster and easier. Sync Tracking gives you comprehensive visibility into each sync so you can: 1. Audit Your Syncs: Understand exactly what happened to each record at the row level 2. Identify and Resolve Failures Quickly: Diagnose issues with detailed error messages to reduce downtime 3. Search and Debug with Ease: Quickly locate specific records by searching with a primary identifier (such as an email or ID). Even better? Sync Tracking really shines when paired with the Census Observability Lake. You can store sync tracking data in your own cloud storage for extended retention and even deeper historical analysis. No more endless data digging. 🚧 ‎ Read more in the announcement:

GPT columns are now free to try within Census!  🎉 Use LLMs to write new columns directly to your warehouse to clean, enrich and enhance data before you sync. The potential is limitless, but here are a few of our favorite ways to use GPT columns: ✅ No more writing regex to clean up records ✅ Scrape industry data from company websites to complete account records ✅ Easily compute fit scores and upsell readiness - without Salesforce Check out the blog post to lean more! https://lnkd.in/gGWTi9ZP

TOMORROW 📣 The 5 Stages of AI Autonomy fireside chat with Collin Burdick at Slalom and Luke Ambrosetti at Snowflake 🤖 Every org is scrambling to adapt, innovate, and scale with AI, but many businesses lack foundational requirements in data, technology, and culture to support AI implementation. What we'll cover: 1️⃣ A guide to the 5 stages of AI autonomy 2️⃣ How to identify your organization’s stage and measure AI maturity 3️⃣ How to advance to the next level of AI and put AI into practice Join us for this session, tailored specifically for data and technology leaders looking to operationalize AI and prepare their organizations for the future. Register: https://lnkd.in/g7xNXPzH