Middle of funnel
Content measured by the deals it appeared in.
Editorial built for the specific questions a buyer asks after they already know a business exists, measured by recording which pieces actually appeared in the path of a deal that closed.
This page covers owned editorial and demand education — content built to answer the specific questions a buyer has once they already know a business exists and are deciding whether to move forward. The technical and ranking work that gets non-brand content found in the first place is a separate discipline, covered as SEO, with its own measurement and its own timeline. Content marketing and SEO often share the same articles; this page covers what those articles say and to which buyer, at whatever stage they are in.
A last-click report values content close to zero, and that is a measurement failure rather than an honest reflection of what the content did. A prospect who read three articles over two months before finally filling out a form gets recorded as a conversion from whatever channel that final form submission happened to carry — the three articles that actually moved the decision along the way are invisible to a tool that only sees the last touch.
The fix is recording, inside the CRM where deals actually get tracked, which specific pieces a prospect engaged with on the way to becoming an opportunity. That record only becomes useful once enough deals have closed to see a pattern, which means a single month's report will usually understate a piece written recently — its real contribution shows up later, once the deals it influenced actually close.
How the work differs
- Topic selection
- Topics chosen directly from the specific questions and objections recurring in real sales calls and support tickets for that account.
- Deal-path tracking
- Every piece a prospect engaged with before becoming an opportunity logged against that opportunity's CRM record as it happens.
- Subject-matter review
- A named expert on the client's team reviews every draft for technical accuracy before it publishes.
- Gating decisions
- Each asset gated or left open based on whether it serves early-stage reach or late-stage evaluation, decided individually per piece.
- Distribution
- Each piece pushed through organic social and, where relevant, structured for citation in the AI-assistant baseline scans generative and answer engine optimization already run.
- Assisted-conversion reporting
- Content's contribution reported on a rolling window wide enough to catch deals that close weeks or months after a piece was actually read.
How it is measured
The number that matters is how often a piece appears in the recorded content path of a deal that actually closed. That path is built from CRM records: a session tells you someone visited a page, while a closed-deal record tells you that visit was part of something that turned into revenue. That data flows into the attribution layer on the same schedule as every other touchpoint on the site.
What this channel cannot claim credit for: a deal that closed without any recorded content engagement in its path, and a piece's traffic volume alone, independent of whether that traffic ever shows up in a closed-deal record.
What we need from you
A standing line to your sales and support teams, since the actual questions worth writing about surface directly in their calls and tickets. Subject-matter review turnaround fast enough that a draft does not sit waiting while a real sales question goes unanswered in print. And access to the CRM fields where content engagement gets logged against a deal, so the path can actually be reconstructed once that deal closes.
Who this is for
Built for operators with a sales cycle long enough that a buyer reads, compares, and returns more than once before deciding — professional services firms fit this closely, since a firm being evaluated against two or three competitors over several weeks needs content answering the specific comparison questions that come up in that exact window. Among the middle-of-funnel programs, it is distributed in part through organic social, and shares much of its raw material with SEO, since the same well-researched article often serves both the ranking work and the deal-path work at once.
For an operator also running branded search, the strongest evaluation-stage pieces frequently end up linked directly from that campaign's ad copy and landing pages, giving a brand click something substantive to land on beyond the homepage. Client results show a finished example of a deal's actual content path.
It depends on the sales cycle length and how many distinct buyer questions actually recur, not on a fixed monthly quota picked in advance. A business with a short, simple decision needs a compact, well-targeted library more than a high volume of output; a long, multi-stakeholder sales cycle usually needs more, because more distinct questions come up at more stages. We size the calendar to the questions that actually recur in sales calls, not to a round number.
Our team writes the drafts, working from the specific questions and objections your sales and support teams already hear. A named subject-matter expert on your side reviews every draft before it publishes, since a technically wrong claim in published content is a real liability in a way a vague one is not. Nothing goes live without that review, regardless of how far behind schedule a piece is running.
Every piece a prospect engaged with before becoming an opportunity gets logged against that opportunity's CRM record, not just tracked as a page view in an analytics dashboard disconnected from what happened afterward. Once a deal closes, we can look back at its full content path and see which pieces it actually touched along the way. A piece that shows up across a large share of closed deals is doing real work; one that never appears in a closed deal's path, no matter how much traffic it gets, is not.
It depends on the stage. Early-stage educational content generally performs better ungated, since the goal at that stage is reach and trust, and a form is friction a buyer who has not yet decided you're worth their email address will not clear. Late-stage evaluation content — comparison guides, implementation detail, pricing frameworks — can justify a gate, since the person requesting it has usually already moved further down the path. We decide this per asset rather than applying one policy across the whole library.
Directly. Clear, well-structured, accurate content is exactly what an AI assistant needs to find and cite when answering a buyer's question, so the same editorial standard that makes a piece useful to a human reader also makes it usable as a source. Pieces built for this program are checked against the baseline question set used in generative and answer engine optimization, and a piece that starts getting cited by an assistant is a strong signal the topic and structure are both working.
See which of your existing content is actually working.
A review of your published content against your CRM's closed-deal records, showing which pieces are genuinely appearing in the path to a sale.