Unlock the full potential of your demand generation strategy with this comprehensive self-assessment designed for B2B marketing and revenue leaders. Built for complex organisational environments, this programme empowers you to align marketing performance with business outcomes through a disciplined approach to lead and lag indicators—driving accountability, transparency, and measurable growth.
You’ll gain actionable insights across two critical domains:
- Module 1: Aligning KPIs with Strategic Business Objectives
Define high-signal lead indicators—such as marketing-qualified leads (MQLs) and content engagement—that accurately predict future revenue. Align these with lag indicators like closed deals to create a balanced scorecard. Co-develop MQL and SQL criteria with sales to eliminate departmental friction, and implement quarterly review rhythms to adapt KPIs in response to market dynamics or product evolution. Learn how to weight metrics by revenue impact or volume, ensuring relevance across diverse customer segments. - Module 2: Building an Integrated Data Architecture
Establish a robust measurement foundation by identifying core data sources—CRM, marketing automation, web analytics—and assigning clear ownership for data integrity. Develop a unified event taxonomy to map cross-channel customer interactions, enabling accurate attribution. Implement privacy-compliant identity resolution to unify known and anonymous user journeys. Evaluate real-time versus batch data pipelines based on operational needs, and define retention policies that support both compliance and long-term trend analysis.
This self-assessment equips marketing and revenue operations leaders with a clear framework to audit, optimise, and future-proof their demand generation functions. You’ll walk away with a documented data lineage for every KPI—essential for executive reporting, board-level insights, and organisational credibility.
Take control of your revenue engine—start the assessment today and transform how your organisation measures marketing performance.