| Tools | HubSpot (Marketing Hub / Sales Hub) |
| Key Challenges | Lack of lead scoring standardization, misalignment between teams, limited revenue visibility |
| Industry | IT (Back-office SaaS) |
| Company Size | Approx. 200 employees |
| Timeline | 2024 / Approx. 4 months |
| Scope | Revenue Architecture design and RevOps foundation development |
Background
Although lead volume was steadily increasing, the sales team raised concerns about lead quality, while the marketing team lacked visibility into why leads were not converting into opportunities.
This resulted in a structural disconnect in the revenue flow between marketing and sales.
Without standardized handoff criteria, high-potential leads were overlooked, while low-quality leads consumed valuable sales resources.
Objective
Redesign the revenue foundation using HubSpot by implementing behavior-based scoring and stage-specific engagement scenarios.
Establish an end-to-end RevOps structure that connects marketing, sales, and revenue generation into a unified system.
Challenges
- Lack of scoring framework: No quantitative model to prioritize leads based on conversion likelihood.
- Funnel opacity: Unclear which channels or behaviors contributed to revenue outcomes.
- Unstable SQL conversion rate: Fluctuations in conversion made revenue forecasting unreliable.
- Ineffective nurturing: Generic communication with no alignment to the buyer journey or intent.
Approach
The project was positioned not as a tool implementation, but as a redesign of the revenue architecture.
Results
- Improved conversion rate: MQL to SQL conversion increased by up to 20%.
- Optimized sales efficiency: Reduced time spent on low-quality leads and enabled focus on high-intent prospects.
- Improved forecast accuracy: Pipeline visibility enabled clear linkage between marketing activities and revenue.
- Lower CAC: Reduced dependency on paid acquisition through more effective nurturing.
Core Value
This project was not simply about improving lead management.
It established a standardized system for lead qualification and pipeline creation.
By replacing subjective judgment with shared metrics and behavioral data,
the organization aligned marketing and sales, improving both efficiency and predictability of revenue growth.
Applicable Scenarios
- SaaS companies generating leads but struggling with conversion to pipeline and revenue
- Organizations using The Model but lacking alignment on lead definitions
- Teams seeking to eliminate subjective lead evaluation and adopt data-driven decision-making
