Content P&L

PubWave™

See what pays. Pay for what works.

Revenue, author pay, and net. On every article.

Running a live network daily since January 2026 · Patent pending

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Your content P&L

$3guaranteed floor50%performance upside

Every article has a floor. When it earns more, the author shares in the upside.

Volume

420

Total published articles

Reach

1.76M

Accumulated views

Velocity

4.2K

Avg views / article

Revenue

Total
$6,615
Avg / article
$15.75
RPM / 1k views
$3.75

Payouts

Total
$3,836
Avg / article
$9.13
RPM / 1k views
$2.18

Net

Total
$2,779
Avg / article
$6.62
RPM / 1k views
$1.58
Illustrative data. Revenue, author payouts, and net contribution shown together.
The problem

Your largest cost is managed by volume.

You pay flat rates for every article, or fill a quota by the week. The work does not earn the same. When traffic falls, that bill does not. Margin takes the hit.
The shift

Run content by return, not output.

Every article has a floor, then upside when it earns. You see what it made, what you paid, the net. When traffic falls, the content bill can fall with it.
At one live independent Publisher, attributed revenue per article varied nearly 4× across established authors.

Anonymized production data, March 1–August 25, 2026. Highest versus lowest attributed revenue per article among authors with 20+ published articles.

The real product

See the numbers from every seat.

Owners see the business. Editors run the roster. Authors see what worked.

Owner view

Start on the dashboard

Log in to revenue, traffic, search, and social in one place, then drill into the content ROI behind the numbers.

Editor view

Run the roster from one ledger

Compare authors at a glance, then sort every published article by views, net, revenue, RPM, or payout without leaving the same workspace.

Author view

Show every author what worked

Each author sees their payout breakdown, how they rank against the team, and the articles driving the result.

Put your content budget on the same side as revenue.

Run PubWave read-only for a month and see what your current model cannot show you.

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Your existing stack stays put. You decide what changes next.