Content is slow to pay off and hard to attribute, which makes it the first thing a founder questions when they want to see what the marketing spend is buying. The honest answer is uncomfortable: you cannot draw a clean line from a blog post to a closed deal, and anyone who promises you can is either lying or about to show you a number built on sand. But that does not mean content is unmeasurable. It means you measure it the way it actually works, with a blend of signals and a clear-eyed view of what each one can and cannot prove. Done right, you can make a genuinely convincing case without faking precision.
The mistake that gets content killed is measuring it like paid advertising, where a click leads to a conversion you can trace the same day. Content does not behave that way, and judging it by that standard guarantees it looks like a failure. So the first job is resetting what proof even looks like for this channel.
Why the tidy number does not exist
Developers evaluate you in the dark funnel. They read your post at work, see your name in a Slack community, catch a comparison months later, lurk without ever clicking a tracked link, and then sign up one day by typing your URL straight into the browser. Last-touch attribution looks at that and credits “direct,” while every piece of content that actually influenced the decision shows up as zero. I get into the mechanics of this in dark funnel attribution, and the takeaway for content is simple: the influence is real even when the tracking is blind to it.
So a founder asking for a clean content-to-revenue line is asking for something that does not exist for this audience. The useful move is not to fake it. It is to show the signals that genuinely indicate content is working and be honest about their nature.
Lead with the leading indicators
The signals that matter move earlier than traffic or revenue, which makes them the right thing to show a skeptical founder who wants evidence before the big numbers arrive. Rankings climbing for the queries your buyers search. Strong engagement time on individual pieces, meaning the people who land actually read. Signups that touched content somewhere on the way in, even if content was not the last click. And the softest but most persuasive signal, prospects and sales calls mentioning they read something you published.
That last one tends to land hardest with a founder, because it is concrete and human. When a prospect on a call says they have been following your posts, that is content doing its job in a way no dashboard captures. Collect those moments and bring them to the conversation. The leading-indicator read that surfaces most of this is the one in measuring the PLG funnel.
Use self-reported sourcing
Since the tracking goes blind exactly where content works, you supplement it by asking people directly. A “how did you hear about us” field at signup and a sourcing question on sales calls catch the influence that pixels miss. It is qualitative and a little messy, and it is often far closer to the truth than a precise attribution model that confidently credits the wrong channel.
When a meaningful share of signups and deals name your content, your blog, your founder’s posts, a specific piece, as part of how they found you, that is real evidence. Present it as what it is: self-reported and directional, not a decimal-point number, and more honest for being so. A founder who runs the product respects a straight answer more than a suspiciously precise one.
Frame it as compounding, not a monthly return
The last part of the case is the timeline. Content is an investment that compounds, not a tap you turn for same-month return, which I lay out in how long content takes to work. So the honest ROI story includes the shape: the leading indicators now, the traffic and influenced pipeline building over the following quarters, and the library continuing to pay off long after each post is written, unlike ads that stop the moment you stop paying.
Put together, the case to a skeptical founder is this: here are the leading signals moving in the right direction, here is the self-reported evidence that buyers are finding and trusting us through content, and here is why the return grows the longer we stay consistent. That is a stronger and more durable argument than a fabricated attribution line, because it survives scrutiny and it happens to be true. If you want content measured and reported this way, honestly and in terms a founder believes, that is the work I do, and you can tell me what your founder keeps asking to see.
