Unify Your GTM Data to Boost Bedtime Bulb Sales

Greg Yeutter

These are 3 AI-automated workflows ideas we can help you implement:

1

Sales Audit, RevOps & GTM Automation Strategy
Conduct a deep analysis of Restful’s current sales and marketing data flows, platforms, and reporting to map out a unified GTM data infrastructure. Design a roadmap to integrate fragmented tools, streamline data enrichment, and automate lead handoffs, directly addressing pain around siloed systems and manual processes.
Expect a 20–30% reduction in manual data consolidation time (saves ~10+ hours/month), improving lead quality and accelerating pipeline velocity. Enables more reliable forecasting and supports strategic decision-making as Restful scales.

2

CRM Data Enrichment System
Implement an automated enrichment workflow that continuously updates CRM/contact records with real-time information from marketing and sales touchpoints (job changes, engagement, purchase signals). This ensures all lead and customer data is current, actionable, and ready for automated nurturing.
Boosts conversion rates by 10–15% by reducing outdated/incomplete records and saving 5+ hours/month previously spent on manual research. Supports seamless lead nurturing and handoff, directly impacting revenue growth.

3

AE Pre-Sales Call AI-Automated Reporting System
Deploy an AI-driven reporting system that delivers up-to-date prospect intelligence and engagement history to AEs before each call. This system aggregates data from web, email, and CRM, providing key insights to personalize outreach and improve conversion.
Shortens sales cycles by up to 20% and increases win rates by 8–12% by equipping AEs with targeted insights, reducing prep time by 2–3 hours/week. Improves pipeline hygiene and forecasting accuracy through more consistent pipeline updates.