Account Reveal identifies companies from anonymous website visits, enabling teams to target buyer groups and act on intent signals before prospects identify themselves. Dynamic Personalization uses this account intelligence to automatically adapt content messaging for each visiting account without requiring manual versioning or additional content assets.
For ABM campaigns targeting multiple accounts, one campaign setup can deliver customized content experiences based on industry, buying stage, and company attributes. Account data pulls from integrated platforms to personalize headlines, body copy, calls to action, and visual elements within a single template that generates individualized versions automatically.
Integration with Demandbase allows marketers to build audiences and campaigns in the Campaign Builder, then apply Demandbase attributes like Industry, Audience, or Company Type to content templates. Property tokens inserted into the design create dynamic layouts that update based on visitor profile. When prospects click campaign links, Turtl calls the Demandbase API to retrieve Company Profile Attributes and tailor content during page load. The system can swap entire content sections, such as displaying financial services use cases for one account and retail examples for another, or create persona-specific experiences for CMOs, VPs of Operations, and end users from the same base content.
Integration with 6sense connects buying stage, firmographic profile, and behavioral signals to content attributes. Accounts segmented by buying stage receive stage-matched content: consideration-stage accounts see compliance use cases and peer validation, while decision-stage accounts receive deployment timelines and product comparisons. Persona data from 6sense enables role-specific content delivery where CFOs receive business cases, practitioners get implementation guides, and champions receive internal selling materials.
When visitors cannot be matched to known accounts in connected databases, the system serves a default high-performing content version. Analytics track 1,251 behavioral events per session, including time spent on specific topics, section engagement, and conversion actions. Engagement data maps to account profiles and pipeline activity to show which content influenced which accounts and at what stage.
Hatch AI analyzes performance data in real-time to surface audience intent patterns and provide optimization recommendations. The AI assistant answers questions about segment engagement, underperforming content, and pipeline bottlenecks using actual behavioral data.
Engagement signals from Turtl content can trigger subsequent actions in connected platforms, such as SDR outreach sequences, advertising suppression, or nurture campaigns, based on documented account behavior. Combined reporting shows campaign and channel performance at the account level alongside content engagement metrics to connect intent signals through to revenue outcomes.
