Census

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

Ran a cool demo for a fintech company this week. The problem they have is getting inbound leads routed to Salesforce in real-time. Currently this happens in a common but fairly primitive way, where website visitors fill out a form and it goes straight into Salesforce and gets routed. Issue is that ~20% of those form-fills are from existing customer accounts so they're not routed correctly and they're not enriched with important data from Snowflake. We showed them what's possible with Snowflake's Dynamic Tables and Census. In a nutshell, what they can do is pipe these leads into Snowflake directly from their real-time event stream (Kafka) via Census and have a Dynamic Table set up to cross-reference that lead vs. their customer data. If and only if that lead isn't a customer will it populate & enrich on that table with very fast latency. Census then syncs that lead to Salesforce in real-time as soon as it hits the Dynamic Table. The overall delay between form-fill and getting routed to the right rep is under 1 minute. This way the right rep gets the lead with the right data quickly enough that they can pick up the phone and call them right away.

?? Centralized data architecture is the backbone of scalable GTM success. Canva wrote an amazing and detailed post on how their data architecture supports their GTM teams while maintaining visibility and control. Their approach to monitoring and optimization is a great example of how investing in centralized data architecture not only empowers data teams but also provides the foundation for GTM teams to thrive. ?? Check it out here: https://lnkd.in/gtf9HJM3

We’re excited to unveil the partners recognized across the Marketing and Advertising Tools and Platforms layer of the 2025 Modern Marketing Data Stack report! Here are our Customer Data Platforms partners: Acquia Amperity Census Hightouch Simon Data Segment ActionIQ GrowthLoop RudderStack Tealium Learn more about these partners and the solutions they deliver in the AI Data Cloud for Marketing in the report: ?https://lnkd.in/gZwxxPh6?

AI for RevOps, Part 3: Personalized Outbound by Analyzing Web Activity ?? Personalization at scale requires crunching a LOT of data. AI outbounders can help, but they're often spammy and lacking that real human touch that makes personalized outreach work. Here's how we use Census to find the perfect middle ground (Get the playbook here: https://hubs.la/Q02Yp5sH0) Step 1: Analyze Create a GPT Column to run an LLM prompt that analyzes web visitor behavior and identifies their primary interests Step 2: Sync Census automatically syncs these themes to HubSpot (or one of our 200+ destinations) Step 3: Automate HubSpot uses these themes to enroll prospects in the most relevant sequence based on their actual interests We've made all of this possible with Census GPT Columns - our tool for adding AI-powered enrichment directly in your Ops workflow. The best part? You can try GPT Columns completely free, today. ?? Get the playbook: https://hubs.la/Q02Yp5sH0

My team's putting out solid content this week on exactly how to use inexpensive AI tech for quick wins across RevOps, GTM data, and Marketing. I wrote a little piece on my thoughts here with links to each. Check it out!

It’s our first AI week at Census. LLMs has been the most fun way to “talk to” a computer since I first learn to program with Hypercard. We recently launched the ability to augment data living in warehouses with AI using LLMs (see https://lnkd.in/gA6DgGSA), which means you can do so much more with the data you already have. Heck, you can build the equivalent of entire programs with a few prompts so we’re sharing some of the best examples we’ve seen from our users. One of which is our own RevOps team ??. They used it to automate account fit scoring so our reps never have to leave Salesforce... Using our existing analytics/data, we setup a useful system that went live in an afternoon! https://lnkd.in/gmDqVsYw

AI for RevOps: Automated Customer Sentiment Analysis ?? ?? Sales teams need to be able to assess the quality of outbound responses at scale ?? Support teams need to be able to prioritize urgent tickets and route them to the appropriate SME Get the full prompt and how-to guide here:?https://hubs.la/Q02Yg9cp0 The Problem Other automations often fail because they take too much effort to maintain, require manual input for all automated reply types, and struggle to decipher the difference between enthusiasm, interest, and polite decline. LLMs are perfect for this use case. The Solution We built an in-house sentiment analysis engine to help our sales and support teams understand the impact of our outbound emails and respond to urgent tickets. This prompt can: ?? Identify when a contact is interested in taking the next step in our PLG motion ?? Note when a prospect has responded positively to an outbound message ?? Classify the underlying issue behind a support ticket At Census we've used this to improve reporting, respond to urgent tickets faster, and provide more hands-on support to customers who want to engage with us.

?? AI Week at Census continues, and today’s highlight is one of our proudest achievements: building an ?? ICP Analysis and Account Fit Scoring model ?? in just an afternoon. No six-month setup, no endless iterations—just an effective, automated scoring system that’s already delivering value. Our Head of Data, Julie Beynon, built this with a bit of time and the right LLM prompts, and now we’re making the exact prompts and a step-by-step guide public so any RevOps or BizOps team can make it happen, too! This is for everyone who’s ever been caught up in long, complex fit scoring projects. Give it a go, and let us know how it works for you! https://lnkd.in/gVt78YmM #AIWeek #CensusAI #RevOps #BizOps #ICPScoring #AccountScoring