# THE GO-TO-MARKET CONFERENCE BY CLAY **October 8, 2026, San Francisco** → [sculpt.clay.com](https://www.sculpt.clay.com/) ## Data infrastructure - **Audiences** [Centralize your first and third party data sources in Clay](https://www.clay.com/audiences) - **Data marketplace** [Buy data from 200+ providers in one place](https://www.clay.com/integrations) - **Signals and Intent** [Track job changes, promotions or other signals](https://www.clay.com/signals) - **Waterfall** [Combine multiple data providers for the best coverage](https://www.clay.com/waterfall-enrichment) ## Agents - **Claygents** [Research target companies and people with AI](https://www.clay.com/claygent) - **Agent plugin CLI/API** [Build in Clay directly via a coding agent with API and CLI](https://www.clay.com/agent-plugin) - **MCP for rep** [Track job changes, promotions or other signals](https://www.clay.com/mcp) ## Orchestration - **Functions** [Link long form description will go in this slot here.](https://www.clay.com/functions) - **AI formatting** [Link long form description will go in this slot here.](https://www.clay.com/ai-formula) ## Execution - **Ads** [Sync targeted ad audiences to LinkedIn, Meta, and Google](https://www.clay.com/ads) - **Sequencer** [Use Clay's native sequencer or automate messaging](https://www.clay.com/sequencer) ## Clay MCP **Give reps the best prospecting data in their AI tools** ## Use Cases - **CRM enrichment** [Link long form description will go in this slot here.](https://www.clay.com/use-cases/crm-enrichment) - **Rep prospecting** [Link long form description will go in this slot here.](https://www.clay.com/use-cases/rep-prospecting) - **Automated inbound** [Build ads audiences and sync them to major ad platforms](https://www.clay.com/use-cases/inbound-enrichment) - **ABM** [Link long form description will go in this slot here.](https://www.clay.com/use-cases/abm) ## Problem ## Solution ### **Making emails more personal** Outbound email is one of Rippling's most effective channels for driving new business, but personalizing messages at scale posed a significant challenge. While the team had successfully implemented basic email personalization by segmenting customers by persona and company size, they hit a wall when trying to scale further. "We needed to test different personalizations, get accurate data into Salesforce, and scale the engine that worked," shared Noah Adelstein, Manager of International Growth. The team turned to Clay to automate and iterate on their personalization system. They began by creating a streamlined data pipeline that would automatically import leads into Clay tables, enrich the data, store results in Snowflake, and push personalized sequences into Outreach. With this foundation, the team could focus on nailing the right personalization approach for each audience. By segmenting sequences across personas and tailoring content based on enriched data from Clay, they created over 12 targeted variants that significantly improved engagement rates. ### **Verifying direct mail addresses** Rippling sends thousands of direct mail pieces every month. Before Clay, inaccurate addresses and incomplete data often compromised the effectiveness of these direct mail campaigns. Their direct mail process relied heavily on a team in India manually finding and validating addresses, then sending CSV files to vendors. This manual approach not only slowed down campaigns but also introduced potential errors that could compromise delivery rates. ### **Testing new ideas quickly** Clay has become the growth team's go-to tool for trying new ideas quickly. Anyone on the 30-person team can use Clay to test new workflows without needing technical expertise, involving engineering resources, or committing to additional data providers. The team particularly values Clay's ability to quickly test new copy and personalization ideas by seamlessly pushing updates into their email system. This agility has been crucial for rapid experimentation and optimization of their outreach efforts. ### Clay's impact Clay changed how Rippling's growth team works in a fundamental way. Before Clay, data access and activation bottlenecks prevented rapid experimentation. Now, instead of waiting for engineering help or spending hours copying data between systems, the team now moves quickly and tries new ideas on their own. The impact shows up not just in faster work and better results, but in how the team approaches new challenges. Here's what changed: - **Faster work:** The team can now try new ideas in days instead of weeks - **Better responses:** More personal emails get more replies and lead to more demos - **Accurate mail:** Thousands of direct mail pieces reach the right people each month - **Less manual work:** The team spends less time juggling different tools and copying data between systems - **More independence:** The growth team can work on their own without always needing help from engineering ## Explore more customers **"What Clay Ads comes down to is really good targeted audiences, and getting the match rates that allow for our paid media to run at volume."** **Jean-Paul LaCount** **Director of Demand Generation** **[Read case study](https://www.clay.com/customers/northbeam)** **"Clay allows us to move fast and drive outsized impact on GTM execution."** **Scotty Huhn** **Engineering Lead** **[Read case study](https://www.clay.com/customers/open-ai)** **2x** **increase in cold email performance** **[Read case study](https://www.clay.com/customers/rippling)** **How Figma used Clay to build the infrastructure for everything GTM** **[Read case study](https://www.clay.com/customers/figma)** **+50%** **More qualified meetings per rep** **[Read case study](https://www.clay.com/customers/lovable)** **140%** **Growth in outbound-sourced pipeline** **[Read case study](https://www.clay.com/customers/intercom)** **Company** ## Streamline data enrichment **Schedule a demo** **We use cookies** [View our privacy policy](https://privacy.clay.com/)