Measure Account Progression, Not Just Attribution
▼ Summary
– The article argues that traditional lead-based marketing metrics like MQLs are flawed for B2B sales, as they fail to predict revenue and create misalignment between marketing and sales teams.
– It proposes tracking “account progression” instead, which defines and measures stages an entire account moves through, from unaware to customer, based on clear multi-contact criteria.
– This model makes attribution debates irrelevant, as teams can see which campaigns or channels accelerate an account’s movement between stages rather than crediting a single touchpoint.
– Successful implementation requires a dual-funnel approach, tracking both individual contact engagement and the overall account journey, and depends on clear stage definitions, data infrastructure, and cross-team alignment.
– The key metrics shift to stage distribution, progression rates and velocity, and campaign impact on moving accounts, providing a shared goal that aligns marketing and sales and better predicts revenue.
To truly understand the effectiveness of your go-to-market strategy, shift your focus from traditional attribution models to measuring how target accounts move through their buying journey. Account progression provides a holistic view of engagement that predicts revenue far more accurately than counting leads or clicks ever could. This approach moves teams beyond internal debates and aligns everyone around a shared objective: advancing key accounts toward a purchase.
Many teams fixate on granular activity metrics. They meticulously track impressions, clicks, form fills, and marketing-qualified leads (MQLs), attempting to scientifically link a single touchpoint to a major sale. For complex B2B purchases, especially those involving six-figure software contracts, this perspective is flawed. No single email, advertisement, or phone call solely convinces a company to buy. We cling to these metrics because we desperately want to connect our work to revenue and prove our value. Early in my career, I championed my MQLs, insisting they were perfect and would inevitably convert. I was mistaken. Those activity metrics, in isolation, failed to predict actual sales outcomes.
What genuinely matters is account progression. This concept involves defining clear stages that represent where an account is in its decision-making process and then tracking their movement between these stages over time. Common stages include unaware, aware, engaged, qualified, sales-ready, and customer. Each stage has specific, measurable criteria. For instance, an account moves from unaware to aware when multiple contacts encounter your brand repeatedly. It progresses from aware to engaged when those contacts begin interacting with your content. The power of this model lies in its simplicity, creating a common language between marketing and sales. Everyone understands an account’s current status and what actions are needed to move it forward.
Traditional, contact-based demand generation metrics operate on an outdated assumption: that individuals buy in a neat, linear sequence. Modern B2B buying doesn’t work that way. Research indicates buyers complete most of their purchase process before engaging with sales, involving buying committees of eight to ten people across a messy, months-long journey. Measuring individual lead activity in this environment means missing the bigger picture. You might see that a stakeholder downloaded a whitepaper, but you have no insight into whether their entire organization is closer to making a decision.
Worse, lead-based metrics often create harmful incentives. Marketing teams, measured on lead volume, optimize for quantity, filling the funnel with low-quality contacts that will never convert. Sales teams grow frustrated with poor lead quality, and the relationship between the two departments deteriorates. This cycle repeats endlessly: marketing reports high MQL numbers, sales rejects most of them, and each side blames the other for the disconnect.
This is why attribution becomes irrelevant when you measure account progression. When you can view campaign and channel performance for each account at every stage, you stop arguing over which touchpoint gets credit. Instead, you see the collective activities that helped an account advance. You can measure that accounts exposed to a specific LinkedIn campaign progressed from aware to engaged at twice the normal rate, or that webinar attendees moved from engaged to qualified 40% faster. You establish a baseline for what it typically takes to move an account and measure every initiative against that standard. The question shifts from “Who gets credit?” to “Did this campaign accelerate account progression?”
This doesn’t require discarding lead-level tracking entirely. A dual-funnel approach is most effective. The first is the traditional contact funnel, tracking an individual’s path from inquiry to closed deal, which remains useful for understanding personal engagement. The second is the account funnel, tracking progression from unaware to customer. This is your strategic north star. The real insight emerges when you connect these funnels, allowing you to see which accounts have multiple engaged contacts and when a buying group reaches a qualification threshold, triggering timely sales outreach.
Implementing this system requires investment in data infrastructure to link contact activity to account records. Start by clearly defining each progression stage with measurable criteria and securing alignment across marketing, sales, and operations. Next, build an account scoring model that identifies progression signals, such as the number of engaged contacts, content consumption patterns, and third-party intent data. Set specific thresholds for advancement, for example, an account might move from aware to engaged when three or more contacts interact with content within 90 days.
Crucially, you must track progression over time, capturing not just the current stage but also when an account entered it and its velocity from the previous stage. Measure campaigns by their impact on progression: how many accounts did they move from aware to engaged or from engaged to qualified?
This framework solves the core alignment problem. When marketing is measured on leads and sales on revenue, conflict is inevitable. Account progression gives both teams a shared metric. The finger-pointing stops, and conversations become productive, focused on how to collectively advance accounts. Key performance indicators shift to meaningful metrics: stage distribution, progression rates and velocity, campaign impact on advancement, and buying group coverage within target accounts.
Stop measuring mere activity. Start measuring genuine progress. Account progression is the north star metric because it directly reflects whether your target accounts are moving closer to becoming customers. Implementing this approach requires effort, alignment, and a move beyond simple MQL counting. However, if your goal is to build a go-to-market function that reliably predicts and drives revenue, this is the essential path forward.
(Source: MarTech)
