A Series A digital health founder posts on LinkedIn every week for four months. No demo request he can trace to a specific post. His board asks what content is doing for the pipeline, and he doesn't have a real answer beyond "people are reading it."
The problem is measurement. He's been posting for four months and doesn't have a clean signal to point to. Paid ads give you a tidy chain: spend, click, form fill, deal. Content rarely works that way, especially early. A clinician might read three of your pieces over six weeks, mention your name to a colleague, then show up to a demo booked through a completely different channel. The content did real work. Your attribution model just can't see it.
Most founders handle this gap badly. They either skip content measurement and hope it's obviously working, or they grab whatever numbers exist (page views, LinkedIn impressions) and present them as if the numbers mean more than they do. A few go further and quietly round a guess into something that looks like an ROI figure, because a board slide with a blank space feels worse than one with a number on it.
That last move is the most expensive one. A made-up number gets remembered, and it gets checked against reality eventually. When it doesn't hold up, every honest metric you present after that gets read with the same suspicion. Better to show up with real proxies and a clear story about why you're using them.
Here's what actually holds up in the room.
Page views deserve a second look
Founders love to dunk on vanity metrics: page views and impressions, both supposedly meaningless.
On their own, page views tell you almost nothing. Paired with source data, they tell you plenty. A thousand page views where 40% came from people typing your company name directly into Google means people are looking for you by name. That's exactly what top-of-funnel content is supposed to produce, and it's a different signal than a thousand page views from a random subreddit link that happened to spike for a day.
Read these numbers for what they can tell you. Don't throw them out because they can't tell you everything.
The practical fix is small: tag your traffic sources properly from the start. UTM parameters on every LinkedIn post, every newsletter mention, every guest appearance. Most founders skip this in month one because it feels like overhead, then spend month six trying to reconstruct where their traffic actually came from. Set it up before you need it, not after a board member asks.
Two things worth tracking before pipeline exists
Before you have enough closed deals to run real attribution, two categories of metric earn a place on your dashboard.
First: who's actually reading. Not how many people, which titles and which companies. LinkedIn's post analytics show job titles and industries for anyone who engages. If you're writing for a marketing manager at a 40-person practice tech company and your engagement is mostly other freelance writers, your distribution is reaching the wrong room. That's not a reason to panic. It's a reason to check your distribution channel before you assume the content itself is off.
Second: branded search growth. Google Search Console shows how many people searched your company name plus a specific topic, month over month. Nobody searches a company name by accident. A rising number means your content put you in someone's head before they typed a word to a salesperson. Check the "queries" report filtered to your brand name every month. If that number climbs steadily while your team publishes consistently, you have a real correlation worth mentioning, even without a causal chain a statistician would sign off on.
Neither metric proves revenue. Both prove direction. That's the honest claim to make, and it's a claim you can back up if someone asks a follow-up question.
Track the sentence someone says out loud
The hardest thing to measure is also the most convincing thing in a board meeting: whether people mention your content unprompted.
Keep a simple log. Every time an investor references an article in a meeting, or a prospect brings up something you published on a discovery call: write it down, with a date and a name. Ask your sales team, if you have one, to note it in the CRM whenever a prospect mentions reading something of yours before the call. Most sales teams won't do this automatically. You have to ask, and you have to ask more than once before it becomes a habit.
A spreadsheet of dates and quotes looks thin next to a dashboard full of numbers. Three or four months of unprompted references, though, is closer to proof of market authority than a traffic chart. It lands better in a board deck than a percentage ever will, because a percentage can be gamed and a specific, dated quote from a named person can't.
What this becomes at the next raise
A founder's board doesn't need a content ROI number this early. It needs evidence the company is building durable authority in its category, because that authority is part of what investors are underwriting when they write the next check.
"We're the only company ranking on page one for [specific clinical search term], ahead of two better-funded competitors" is a stronger line in a fundraising deck than any traffic chart. So is "our last three enterprise conversations opened with the prospect referencing an article we published four months ago." Neither of those lines needs a case study. Both are checkable in about thirty seconds by anyone who wants to verify them.
That's exactly what investors look for once they've heard enough vague traction claims to distrust them on sight. An investor who's sat through fifty pitch decks this quarter has developed a good nose for the difference between a founder who's measuring something real and a founder who's hoping nobody asks a second question about the slide.
One number worth ignoring
Domain authority scores get quoted in more pitch decks than they deserve. They're a third-party estimate from an SEO tool, not a Google metric, and they measure link profile strength, not whether your buyer trusts you.
A founder can spend a quarter chasing a ten-point jump in a score that means nothing to the clinician deciding whether to book a demo. Skip it. Spend the same energy on the two metrics above and the qualitative log. They're harder to fake and closer to the thing you're actually trying to prove.
When to switch to harder numbers
None of this replaces real attribution once you have enough deals to run it. Close ten or so, then go back through each one and tag whether marketing sourced it or influenced it along the way. That's the point where you attach a real number to content's share of pipeline, and where a board starts expecting one instead of accepting proxies.
Before that point, a fabricated ROI percentage does more damage than an honest gap. Investors have watched plenty of founders round a guess into a chart. The founders who earn trust instead say it plainly: "we don't have enough deals yet to run real attribution. Here's what we're tracking until we do, and here's why it's the right proxy for this stage."
Said clearly in a board meeting, that sentence does more for your credibility than a dashboard ever will. It also sets expectations correctly for the next update, so nobody's surprised when the metrics shift from proxies to hard pipeline numbers a few quarters later.
A rough timeline
Most founders move through three stages, though the pace depends entirely on sales cycle length and deal volume.
In the first three to six months, you're tracking reach and branded search almost exclusively, because there simply isn't enough deal volume to say anything about pipeline. Somewhere between month six and month twelve, you'll usually have enough prospect conversations to start logging unprompted content mentions consistently, which is when the qualitative log becomes genuinely useful rather than sparse. Past that point, once you're closing deals monthly rather than quarterly, real attribution modeling becomes possible and worth the setup effort.
Trying to run full attribution before you have deal volume just produces noisy, misleading numbers dressed up as precision. Better to be honest about which stage you're in and measure accordingly.
None of this needs to be complicated to set up. A shared spreadsheet covers most of what a board needs to see until real attribution takes over: one tab for source-tagged traffic and branded search by month, another for the unprompted-mention log. The tool matters far less than the habit of updating it every month, whether or not that month's numbers look good.
The short version
Content can be working before you have pipeline numbers to prove it. You need the right proxies, tracked honestly, and a clear story about why those proxies matter until the real numbers arrive.
Track who's reading and what they search for by name. Track what gets said out loud in a room you don't control. Then be straight about which stage you're in the next time someone asks for a return on investment you don't have the data to calculate yet.