For marketing and sales teams, speed is critical. When you can’t identify high-intent leads in real time, you lose opportunities—and pipeline stalls. That’s the challenge a leading brand brought to Actable. Despite strong acquisition efforts, they lacked a scalable, predictive way to qualify leads and act on them with confidence.
The underlying issue was clear: slow, static scoring models weren’t keeping up with buyer behavior. Conversions were lagging. Handoff between marketing and sales lacked precision. With no clear signal on lead quality, high-value opportunities were slipping through the cracks.
A Production-Ready Lead Scoring Engine
To address this, Actable implemented a real-time lead scoring solution built entirely within the client’s Google Cloud environment—leveraging Vertex AI for predictive modeling, BigQuery for centralized data management, and server-side GTM for activation.
This wasn’t a bolt-on scoring tool. It was a tightly integrated system that delivered real-time insight, immediate action, and long-term scalability.
The predictive model, trained in Vertex AI, produced lead scores based on conversion likelihood, organized directly in BigQuery. With real-time ingestion and scoring infrastructure in place, the client could begin activating high-intent segments without delay.
From Design to Deployment in Eight Weeks
Actable delivered the project in three clear phases.
First, we aligned stakeholders around use cases and measurement goals, mapped inputs across the tech stack, and defined the ideal architecture for real-time scoring.
Next, we trained and validated the predictive model inside Vertex AI, configured the real-time pipeline, and operationalized the scoring logic within BigQuery.
Finally, we launched test-and-learn measurement plans, created an adoption playbook for marketing and sales, and delivered a roadmap for future AI-driven activations.
All of this was deployed in eight weeks—with no new SaaS platforms, black box models, or vendor lock-in.
Measurable Results in Weeks, Not Quarters
The impact was immediate. For leads in mid- and high-scoring segments, the brand saw a 31% conversion rate from lead to opportunity. Within that same group, 11% of leads converted directly into booked meetings.
More importantly, the sales and marketing teams were now working from a shared, predictive framework—prioritizing the right accounts, reducing waste, and building toward scalable personalization.
With infrastructure in place and measurement built in, the brand had what it needed to evolve beyond static scoring and toward intelligent engagement.
From Data to Activation—Without Adding More Tools
Actable’s approach isn’t about adding another dashboard. It’s about building systems that create business outcomes.
This brand gained real-time intelligence, a centralized data layer, and a clear roadmap for activating predictive models across their funnel by embedding lead scoring into the existing Google Cloud ecosystem.
Ready to Close the Gap Between Leads and Revenue?
Real-time lead scoring is a fast, proven way to accelerate performance—especially for teams dealing with volume, velocity, and complexity. Actable’s framework is designed to get you there without the overhead of traditional solutions.
Schedule a call to see how it could work for your team.
