Implement a foundational system to map and document Thinkx’s ideal customer profile (ICP), build a unified partner and company database, and establish clear partner attribution models. This workflow includes integrating all current sources (CRM, event signups, partner data, etc.) for a single source of truth and actionable segmentation.

Deploy an AI-driven system to automate GTM workflows across the partner ecosystem by connecting disparate data sources and toolsets (e.g., CRM, email marketing, event platforms). This system triggers partner handoff, lead routing, and joint marketing actions based on unified partner data and engagement signals.

Streamlines GTM execution, reduces lag in partner follow-up, and scales campaigns without manual coordination—potentially doubling the number of managed partner campaigns and decreasing time-to-lead-routing from days to hours.

Establish a real-time dashboard that aggregates unified partner data to visualize pipeline health, forecast partner-driven revenue, and surface attribution insights. Integrate with CRM and partner data feeds to deliver automated reporting and actionable alerts to revenue and partner leaders.

Improves forecast accuracy by 15–25% and pipeline visibility, reducing last-minute surprises and enabling data-driven partner strategy. With even modest volume (10–20 opportunities/month), this can drive faster course-corrections and 10%+ greater partner-influenced win rates.