Two surfaces, running at once.

One asks what deserves action. The other explains what happened and why. Neither replaces the other, and both show their working.

Revenue Opportunity Queue

What deserves action now?

A ranked list of decisions, each with its value basis, evidence, confidence, coverage, audience, timing, and next action.

Opportunities the evidence cannot support do not enter the queue. PulseLens explains which capability is missing instead.

Pulse Score and Content Intelligence

What happened, and why?

Content performance, topic patterns, and the evidence behind each score. Useful before identity or revenue signals are connected; deeper when they are.

Not a mysterious universal grade. Every score shows its inputs, its coverage, and its confidence.

Convert, retain, allocate. They do not need the same evidence.

Availability differs by platform and by what you can connect. Presenting them as one feature set would be dishonest, so we do not.

Convert readers

Which readers are worth a paid offer now?

Relies on
Behavioural history, eligibility, and identity that links a reader to an outcome.
Example recommendation
A segment of free readers whose behaviour matches people who recently upgraded.
Who acts
PulseLens prepares the segment and the brief. You send it.

Needs accepted identity and revenue context. Not available on every platform.

Retain paid members

Which members are cooling before renewal?

Relies on
Membership and lifecycle history, including when a renewal actually falls.
Example recommendation
A cohort whose reading has fallen for several weeks with a renewal approaching.
Who acts
PulseLens flags the window. You choose the intervention.

The narrowest of the three today. Needs accepted membership and lifecycle inputs.

Allocate content

What deserves more of your effort, and what deserves less?

Relies on
Your own content and audience history. No reader identity required.
Example recommendation
A format that holds attention better than another, with the gap widening.
Who acts
A recommendation you can take or ignore. Nothing changes automatically.

The most broadly available, because it asks the least of your stack.

Examples above are illustrative. They are not customer results.

Turn evidence into two useful weekly decisions.

See which content keeps appearing near valuable outcomes, then review who may be ready for a paid offer. The evidence bar stays visible in both.

Content Intelligence

Product preview

Proven-content Library

A private, ranked library of your own posts, designed to show which work keeps appearing in reader journeys before valuable outcomes and why it earned its place.

  • See which posts recur before conversion or retention outcomes.
  • Keep observed associations separate from inferred effects.
  • Route every reuse idea through Allocate Content and your approval.

The surface exists today, but live journey ranking does not. Identity coverage is required; API-only fallbacks must be clearly labelled.

Convert

In development

Your weekly Trial Shortlist, without the spreadsheet.

Designed to turn verified reading and click behavior into a reviewable shortlist of eligible readers or segments that may be ready for a paid offer.

  • Explain why a candidate qualifies and name what is missing.
  • Require trusted identity, eligibility, and revenue context.
  • Leave the decision and the send with you.

PulseLens does not generate named candidates today. Convert stays closed until its required evidence is accepted.

Every recommendation answers six questions.

This is not a disclaimer at the bottom of a report. It is what the product is for.

Evidence is labelled, not implied.

Observed Directly supported by accepted source data.
Partial Supported, with material coverage or capability gaps.
Predicted Modelled or inferred, shown with its confidence.
Unavailable Not supportable from your current inputs. Said plainly.

Pulse Score is useful before you can connect everything.

Pulse Score explains how content landed from the evidence you already have. It does not pretend to identify anonymous readers. Richer first-party signals deepen the evidence without changing that rule.

An insight that clears the bar becomes an opportunity in the Queue.

One engine. Different depth per platform.

PulseLens is not equally deep everywhere. This page names the difference instead of hiding it.

Platform support and current limitations
Platform Where it stands today
beehiiv Deepest support The platform the assisted pilot runs on.
Ghost Next in sequence Not available yet.
Owned and composed sites Tracking available Fuller support follows.
Substack Limited by the platform Deliberately not equivalent to the others.

Running a composed stack? Tell us what you have and we will be precise about what works today.

Request early access See demo status