AI Summary
→ WHAT IT COVERS Jon Miller, Marketo co-founder and former Demandbase CMO, explains why the MQL-based demand generation playbook he helped build in the early 2000s no longer reflects how B2B buying actually works, and outlines a replacement measurement framework centered on brand health, account journeys, and post-sale engagement. → KEY INSIGHTS - **Brand as measurement baseline:** Before tracking pipeline, define the single perception you want your ICP to hold about your company, then measure it quarterly via brand surveys. As few as 100 responses per quarter provides directional data — track movement across quarters (e.g., 42% to 47% to 54%) rather than treating any single number as precise. - **MQL replacement framework:** Replace MQL counts with an account journey dashboard tracking how many target accounts sit in each stage: awareness, engaged, qualified buying group, and opportunity. Critically, "qualified buying group" signals active interest worth sales attention — it does not mean sales-ready, a distinction most teams currently collapse into a single, misleading threshold. - **Marketing-sourced attribution elimination:** Remove marketing-sourced versus sales-sourced pipeline as a KPI entirely. Because buying is nonlinear and involves multiple committee members across untrackable channels, attributing a deal to one originating action is equivalent to crediting a single butterfly wingbeat for a hurricane — and the metric actively damages sales-marketing collaboration. - **Post-sale metrics belong on the CMO dashboard:** Marketing should track customer engagement, expansion pipeline, product adoption, time-to-first-value, and net revenue retention — not just new business pipeline. Marketo's own revenue cycle modeler ended at closed-won, which Miller now identifies as a structural mistake that caused systematic underinvestment in customer lifecycle marketing across the industry. - **AI-native personalization as the next platform shift:** Legacy platforms like Marketo, HubSpot, and Eloqua — all 18 to 25 years old — cannot handle anonymous buying stages, account-based logic, or post-sale journeys. Modern AI can reason over sparse B2B data to generate individualized buyer journeys at scale, similar to a Spotify AI DJ building unique playlists, replacing rigid if-then rule systems. → NOTABLE MOMENT Miller reveals that running the identical demand generation playbook at Demandbase that had succeeded at Marketo produced poor results — leading him to conclude that Marketo's strong brand had been silently doing most of the heavy lifting all along, masking fundamental flaws in the underlying measurement model. 💼 SPONSORS None detected 🏷️ B2B Marketing Metrics, MQL Deprecation, Brand Measurement, Account-Based Marketing, AI Marketing Platforms