Featured Posts
Census is a Leader in Snowflake’s 2025 Modern Marketing Data Stack Report
Census is a top partner chosen by Snowflake's 9,800 customers for data-driven marketing and real-time personalization
Introducing Sync Tracking: Enhanced Data Observability and Debugging
Sync Tracking is a powerful new feature in the Observability Toolkit that provides row-level visibility into every record synced in the last 14 days
Announcing Observability Lake: Extend Your Sync Data Retention and Gain Deeper Insights
Observability Lake allows you to use your own cloud storage to retain data, providing extensive historical records and complete visibility into all sync data
From Analytics to Action: How we Personalize Outreach With AI
Transform website analytics into marketing insights. See how Census uses AI to identify prospect interests and automate personalized campaigns.
Customer Sentiment Automation For Outbounding and Support
Discover how AI-powered message analysis transforms customer sentiment insights for support and sales teams, turning nuanced data into actionable strategies across channels.
AI for RevOps: How We Automated Fit Scoring in Salesforce
Learn how to build an automated ICP analysis and account scoring system in an afternoon using Census AI Columns, transforming weeks of work into actionable sales insights.
Top 10 LLM prompts for RevOps and Marketing Teams
Top 10 prompts for RevOps and Marketing Teams to harness AI for creating account classification and hyper-targeted campaigns. Boost revenue and retention today.
Census is a Leader in Snowflake’s 2025 Modern Marketing Data Stack Report
Census is a top partner chosen by Snowflake's 9,800 customers for data-driven marketing and real-time personalization
Understanding the Context Window: Cornerstone of Modern AI
Discover how advancements in context windows are revolutionizing AI, enabling deeper conversations, better data handling, and more sophisticated outputs across various fields.
How to query Iceberg locally using Spark, PyIceberg, or duckdb
Learn how to efficiently query Iceberg data locally using Spark, PyIceberg, or DuckDB, focusing on catalog types, data storage, and read/write capabilities.
Understanding Iceberg Support in the Databricks Ecosystem
Explore how Databricks integrates Iceberg support via Unity Catalog and UniForm, enabling seamless data management within Spark-based environments.