522% increase in trial user activation.
How Scout replaced manual sales follow-ups with an automated product-led activation engine.
Problem - The broken bucket
Scout had a strong product, but they were losing users before they could realize the platform’s value. The company relied on manual sales outreach to convert self-serve trial users, creating a mismatch between the product motion and the sales motion.
The Technical Void: They lacked a unified system of record to track user behavior during the trial. Without visibility into who was engaging, they couldn't automate the specific nudges required to drive adoption.
The Consequence: High trial churn. Users would sign up, fail to reach the "Aha!" moment, and drop off. The team was pouring traffic into a bucket that had no bottom.
Solution - Architecting the activation engine
We shifted Scout from a manual, sales-led process to an automated, product-led infrastructure. We built the pipelines to detect product truth and integrated them directly into the engagement layer.
Step 1: Data Intelligence (Event Mapping)
We defined the specific behavioral signals that indicated a high-intent user. We audited their Hightouch implementation to ensure these core events were capturing clean data, allowing us to distinguish between a "window shopper" and a "buyer."
Step 2: MarTech Architecture (The Pipeline)
We integrated Hightouch directly with Customer.io, creating a real-time data pipeline. This allowed marketing triggers to fire the instant a user completed (or failed to complete) a key onboarding step.
Step 3: Campaign Execution (Behavioral Logic)
We replaced generic time-based drips with precision behavioral workflows. We designed "smart" sequences that only nudged users when they got stuck, guiding them step-by-step toward value realization without manual intervention.
Results - Systematic trial conversion
By engineering the trial experience, we removed the dependency on manual sales touches and unlocked the product's natural growth loop.
522% Increase in trial user activation.
Defined Customer Journey: Scout now has a fully mapped and automated ideal journey that systematically onboards new users.
Data Visibility: The team now has a clear view of where users drop off, allowing for continuous infrastructure optimization.
Stop guessing.
Audit your infrastructure.
We’ll analyze your event schema, CDP setup, and campaign triggers to find the specific leaks preventing you from seeing these kinds of results. Get a prioritized roadmap of fixes before you commit.