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Metrics like ARR or Sean Ellis's 40% PMF score are lagging indicators. Focusing on them is like watching the scoreboard. Instead, concentrate on the input metrics of your "case study factory"—pipeline velocity, pull rate, and close rate—which actually drive the final outcome.

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A key differentiator for companies that scale successfully is their focus. Failing companies obsess over and incentivize leading indicators like MQL volume. Successful ones use them only as directional guides while remaining fixated on lagging indicators like revenue.

When growth stalls, blaming a broad area like 'sales' is ineffective. A simple weekly scorecard forces founders to drill down into specific metrics like lead volume vs. conversion rate. This pinpoints the actual operational drag, turning a large, unsolvable problem into a focused, actionable one.

Go beyond obvious metrics. Measure rep confidence—their belief and authenticity on calls—as a leading indicator of success. Also, measure velocity as the reduction of friction across the entire customer journey, from lead to successful onboarding, not just a simplistic 'time-to-close' metric. These qualitative measures are key.

Focusing on monthly revenue is like looking in the rearview mirror, as it reflects past activities. Instead, track leading indicators—the upstream metrics like webinar show-up rates or call conversion rates—that predict what your revenue will be weeks or months from now.

In a high-growth company, strong overall revenue and net retention can hide a weakening top-of-funnel. Leaders should obsess over leading indicators like new logo pipeline generation and close rates, as a decline in these metrics is an early warning of future growth deceleration.

Top-performing companies are abandoning traditional metrics like MQLs. They now focus on understanding the entire prospecting process—from lead creation to BDR/SDR engagement—to generate stronger pipeline, higher win rates, and more revenue with less wasted effort.

Industry metrics like needing 18 touches or a 4x pipeline are often symptoms of a problem, not goals. Instead of blindly increasing activity, leaders should investigate the root cause. High numbers usually indicate ineffective messaging or poor qualification, not a lack of effort.

One company discovered that while MQLs were plentiful, they took 130 days to convert. In contrast, "hand-raiser" leads converted in just 12 days at a much higher rate. Focusing on conversion velocity reveals where to allocate resources for efficient growth.

Revenue is a lagging indicator and is too slow for validating major strategic shifts. To get an early signal, establish checkpoints using leading indicators. For a decision aimed at acquiring more customers, track metrics like sales team win rates on a monthly basis to see if the hypothesis is proving correct before revenue numbers reflect the change.

Focus on what customers value (e.g., delivery speed, order accuracy) rather than internal business metrics like ARR or user growth. This approach naturally leads to a better product roadmap and a more defensible business by solving real user problems.