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Measuring content performance for devtools

Measurement built around one question: is your content actually working? This is for technical founders and marketing leaders who are publishing blogs, docs, and social but cannot say with a straight face which of it earns attention, citations, or signups. If you are guessing, this fixes the guessing.

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What content measurement actually tells you

Most content gets judged on feel. Someone says the blog is doing great, someone else says nobody reads it, and nobody can prove either one. Measurement replaces that argument with a number everyone can see, so you stop relitigating the same debate every planning meeting and start deciding what to write more of.

The teams that grow content efficiently are not the ones publishing the most. They are the ones who know which pieces pulled their weight and which quietly did nothing. You cannot tell the difference by scrolling a dashboard of pageviews. You need the performance read set up correctly and interpreted honestly, which is what this is.

The content metrics that matter, and the ones that flatter you

Raw pageviews, impressions, and follower counts are vanity metrics. They drift up no matter what you do and they never tell you which post to write next. A page can rack up ten thousand views and send zero people toward a signup.

The numbers I build around are the ones that tell you something you can act on. Which posts rank, and for the queries your buyers actually type. Which ones hold real engagement instead of a bounce. Which topics move people toward a signup or a trial, and which just entertain. Rank posts by that, not by the loudest traffic spike, and the content strategy stops being a guess.

Measuring whether AI answer engines cite you

A growing share of your buyers ask ChatGPT, Perplexity, or Google's AI Overview before they ever run a search, so content success now includes whether the machines name you. That is measurable, and most teams are not looking at it yet.

I track which of your pages get pulled into AI answers and for which questions, alongside your search rankings, so you can see the full picture of where your content shows up. When a page starts getting cited, that is a signal to write more like it. When a whole topic stays invisible, that tells you something too.

What I build, with the Grepr dashboard as proof

The foundation is a correct GA4 setup, because most of the ones I inherit are quietly broken. From there I build a content performance view that answers real questions instead of just displaying data, plus the reporting cadence that keeps it honest over time.

For Grepr, a Series A observability company, I built a GA4 blog performance dashboard from scratch. They had 83 posts live and were judging all of it on gut feel. The dashboard had four views. Posts ranked by engagement rather than raw pageviews, so the loudest post was not automatically the winner. Traffic sources with nested channel detail. Performance over time with anomaly detection, so a spike or a cliff got noticed instead of buried. And path analysis showing where readers went next.

It lives in the shared workspace, so everyone opens the same view and gets the same answer. Most importantly, it made the traffic-to-signup gaps measurable, which is where content strategy stops being a guess and starts being a decision.

How an engagement runs

Reporting is built into the content retainer, so if I am running your content you already get a plain-language read on what is landing. When content performance is the immediate question, whether you write it yourself or inherited a pile of posts nobody has measured, this can be the focus of the work instead.

I start with an audit: what is instrumented, what is broken, and which of your current metrics are vanity in disguise. Then I set up or repair GA4, build the content performance dashboard in a shared workspace, and settle into a reporting rhythm so the numbers get read and acted on.

Retainers start at $5,000 a month. I run a US S-corp, work Monday through Thursday, and I am American, based in Spain, covering EMEA and North America. Solo, which means the person doing your audit is the person building your dashboards and the person you talk to. No handoffs to a junior you never met.

Inventory

What this covers

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GA4 audit and correct setup or repair, focused on how content actually performs

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A content performance dashboard in a shared workspace, so the whole team sees one source of truth

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Posts ranked by real engagement, not raw pageviews, so the winners are obvious

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Search ranking tracking on the queries your buyers actually type

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Tracking of which pages get cited by AI answer engines, and for which questions

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Anomaly detection and performance-over-time reporting so shifts get caught early

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A regular reporting cadence that ties content to signups, not vanity numbers

“She excels at running our weekly marketing calls, organizing events, reporting on web analytics, and keeping everything organized to ensure we all stay aligned. I highly recommend Summer.”

MICK MCGUINNESS · CO-FOUNDER, DBMARLIN
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Questions on this service

Can you measure whether AI answer engines are citing our content?

Yes, and it is worth doing, because a lot of your buyers now ask an AI before they search. I track which of your pages get pulled into answers on ChatGPT, Perplexity, and Google AI Overviews, and for which questions, alongside your regular search rankings, so you can see where your content actually shows up.

Isn't pageviews enough to know a blog is working?

No, and leaning on it is how teams keep writing the wrong things. A page can pull big traffic and send nobody toward a signup, while a quieter page does the real work. I rank content by engagement and by the path to signup, so you can tell the difference and write more of what pays off.

Can you measure content we didn't write with you?

Yes. Plenty of teams have a pile of posts and no honest read on any of it. I built exactly that for Grepr across 83 existing posts. The audit and dashboard work on whatever is already live, whoever wrote it.

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