AMA: AssemblyAI Head Of Product Marketing, JD Prater on Product Marketing KPI's

While PMM metrics can vary greatly depending on your go-to-market motion and audience, I believe the most critical metrics should track your core customer journey. At AssemblyAI, where we provide speech-to-text APIs for developers, we focus intensely on developer journey metrics across the lifecycle of our capabilities. Our key metrics framework centers on three critical areas of the developer journey: Initial Activation Time to first API call (measuring how quickly developers can get started) S ...Read More

At AssemblyAI, we track PMM effectiveness through program-specific metrics that align with our dual PLG and sales-assist motion. Let me break this down by our key programs: For Competitive Intelligence: Win/loss rates against specific competitors Competitive battle card usage rates by sales Feature comparison coverage (% of key features we've documented vs competitors) Competitive mention rate in deals and how it changes over time For our Self-Serve Motion: Developer documentation engagement met ...Read More

The key to effective PMM measurement is understanding that our work should directly ladder up to company OKRs, particularly through marketing and product team objectives. Here's how to approach this: First, identify which company OKRs your PMM work naturally influences. Product Marketing sits at the intersection of product, sales, and marketing, so our work typically feeds into multiple organizational goals. The trick is to be intentional about which OKRs you align with – don't try to attach to ...Read More

I view this as a 'both/and' rather than an 'either/or' situation. Product Marketing KPIs serve dual purposes, and their role often depends on the time horizon you're looking at. In the short term, KPIs absolutely serve as guiding metrics that help us prioritize and allocate resources effectively. They're like a compass, helping us understand if our programs and initiatives are moving in the right direction. For example, if we see low adoption rates for a new feature, that signals we might need t ...Read More

Let me share how we approach this at AssemblyAI because measuring positioning effectiveness is one of the trickier challenges in product marketing. At first glance, it seems almost impossible to quantify something as intangible as perception, right? But here's what we've learned: while you can't directly measure perception, you can measure its effects. Think of it like measuring wind - you can't see it, but you can see what it moves and how it influences behavior. In practice, we look at this th ...Read More

At AssemblyAI, where we're launching new AI model capabilities like automatic language detection (ALD), we focus on measuring launch success through clear adoption signals and usage patterns. Our launch measurement framework has three key phases: Immediate Launch Success (First 30 Days): Number of customers using ALD Volume/usage of API calls using the new language detection parameter Distribution of languages being detected (helps us understand market reach) Initial use case patterns (are devel ...Read More