--- title: "Grow Direct Audience for Publishers: The Pool Above the Funnel" description: "Registered readers convert at ~10% vs 0.22% anonymous (Piano). Grow direct audience from the deep-reader pool: 3+ sessions +91%, 5+ +221% on enabled titles — small pools, and we print that." url: https://www.artificialpoets.com/solutions/direct-audience/ site: Artificial Poets type: page date: 2026-08-09T06:31:06+00:00 modified: 2026-08-25T19:31:53+00:00 image: https://www.artificialpoets.com/wp-content/uploads/a13s-cards/1370-social-f35f6058.png --- # Build the Audience That Comes Back "My subscriber targets keep rising while my funnel shrinks — where does direct audience actually come from?" [See it on my numbers](/request-a-demo/) · [See the depth benchmark](/resources/session-depth-benchmark/) Horse & Rider · Ride TV · Equine Network · Equus Magazine · The Score · Equine Network Lockup ## Your funnel is starving at the top The problem - **Anonymous readers do not subscribe** — Anonymous visitors convert to paid at 0.22%. Known, registered readers convert at nearly 10%, a 45 times gap. - **Registration needs a reason** — A reader who lands, reads one page and leaves has no reason to give you an email. Depth is what earns the ask. - **The pool keeps shrinking** — Media leaders expect search referrals to fall a further 43% over three years. The readers who might register are arriving less often. ## How we fill the pool your funnel draws from - **Depth before the ask** The engine takes readers deeper first. A reader on their third article has a reason to register that a one-page visitor never had. - **+91% deep readers** Sessions reaching three or more articles rose 91% on enabled titles. That is the pool every registration and paywall draws from. - **The ask, when ready** Your prompt fires at a depth threshold you set, not on arrival. It reaches the readers who have shown they want more. ## Subscribers come from readers who went deep. Grow that pool first. Where subscribers come from A registration wall, a newsletter prompt and a paywall all draw from the same small group: readers who reached a third article. Most publishers have never tried to make that group bigger. The Artificial Poets Platform does, by serving each reader the next piece they are most likely to want, inside your pages, so a one-page visit becomes a three-page one. Your prompt then fires at the depth you choose rather than on arrival, and it reaches readers who have already shown they want more from you. On enabled titles, sessions reaching three or more articles rose 91%.[1] That pool is what your existing subscription tools convert. We do not replace Piano, your ESP or your CDP. We give them more of the readers they are built to convert. **Introducing** ## Artificial Poets Platform One engine behind every solution on this site. It learns your archive and your readers, then acts inside your CMS, your templates and your ad stack. - It learns your archive: **Every story you have published, current again** — The engine understands each piece by what it is about, not when it ran or where it was filed. A feature from 2019 competes for the next slot on merit with one from this morning. - It reads the visit: **What a reader wants, without asking** — Interest builds from what someone actually does in the session. No login, no third-party cookies, nothing leaving your domain. Useful on the second pageview, not the tenth visit. - It chooses: **The right next read, not the popular one** — Someone comparing products and someone following a running story want different things. A most-read list gives both the same five links and serves neither. - It serves: **There before the reader leaves** — The feed, the recommendations, the search answer and the signup ask all run on the same engine, in your templates and your ad stack. Any slot that arrives with them is yours to sell. - It proves: **A lift you can defend, or we say so** — Every deployment runs beside titles that did not get it, plus a serving pause. That is how a result becomes a number you can take to a board instead of a vendor claim. ## FAQ ### We already run a subscription stack — Piano, an ESP, a CDP. Is this one more tool? The Platform doesn't set your meter, your price or your wall — those decisions stay in the tools you already run and defend. It works upstream, growing the deep-reader pool your stack converts from, and depth state can feed your prompt targeting (see ask at the right article). Nothing in your consumer-revenue decisioning moves into a model you can't explain. ### Can it optimize toward registrations and newsletter signups rather than clicks? Its own objective stays depth: voluntary continuation, not click-through. Your funnel tools keep making the asks, and depth state can feed their targeting; ask at the right article is the use case built for exactly that. We grow and measure the pool; your stack converts it. ### Under 2% of sessions reach five articles — is a pool that small worth growing? Funnels run on small shares: median free-to-paid newsletter conversion is 0.62% platform-wide (beehiiv), and registered readers convert at ~10% against 0.22% anonymous (Piano benchmark data). The asymmetry is the point — the small pool does nearly all the converting. The question is not the pool's size; it's whether yours is doubling or draining −22%. ### Is the lift real incrementality, or a before/after dashboard claim? The result held against a comparison group — the entire eligible set of titles in the same network — and a window-sensitivity sweep. A four-week pause in serving, with zero renders, returned the metric to baseline; it recovered on resume. And traffic did not grow: sessions and users were flat to slightly down, so this is a depth result, printed as one. ### How do anonymous interest profiles square with GDPR and our consent stack? The profile is anonymous and first-party: no PII, no third-party cookies, nothing leaving your domain, built to be GDPR and CCPA compatible. It runs behind the consent framework you already operate, and the four-week baseline means your privacy review happens before a single recommendation is served. ### Whose first-party data is the interest profile? Yours. It is built from behaviour on your properties and stays there; it is not pooled across customers and nothing is exported to a shared model. What the engine learns from your readers exists to serve your titles, and your data and content stay yours when you leave. ### Who runs this day to day? We do. The engine is run and tuned by our team; there is no dashboard your staff must babysit and no audience-dev hire implied. Your team's involvement is the one that matters: agreeing metrics before the baseline, and reading the record in your own analytics. ## Related - [Equus Magazine Tripled the Sessions That Reach Five Articles](https://www.artificialpoets.com/customers/equus-magazine-deep-readers/) — Most publishers measure whether a reader gets to a second article. This is what happens after that: sessions reaching three articles nearly doubled, and sessions reaching five tripled. - [Ask at the Right Article](https://www.artificialpoets.com/use-cases/depth-triggered-conversion/) — "I'm showing newsletter popups to readers who were leaving anyway — how do I ask the ones who are ready?" ## Unlock new revenue with our AI Artificial Poets Platform can help you with [Book a demo](/request-a-demo/) ## Questions this page answers ### What is direct audience for a publisher? Direct audience is the readership that arrives on its own: type-ins, bookmarks, apps, newsletters. It converts from depth, not from traffic. Registered readers convert to paid at roughly 10% against 0.22% for anonymous visitors (Piano benchmarks), and the readers who register are the ones already reading past one page. ### How does the Artificial Poets Platform grow direct audience? It grows the pool your funnel draws from. The Platform serves the next article a reader actually wants, which grows the deep-reader pool: sessions reaching three or more articles rose 91% on enabled titles while the same pool fell 22% on unchanged titles. Your meter, wall, and prompts stay in the tools you already run; the Platform works upstream of them. ### How much does it cost to grow the deep-reader pool? There is no public price list; pricing follows network size and formats. The consumer-revenue stack you already pay for stays in place: the Platform does not replace your subscription tooling, it feeds it. A four-week baseline and agreed success metrics come before any serving, so the cost of finding out is a quarter and a JavaScript tag. ### Who is this for? Audience-development and consumer-revenue teams with rising subscriber targets and a shrinking funnel. If newsletter signups, registrations, or subscriptions are your number, the deep-reader pool is where they come from: even after tripling, under 2% of sessions reach five articles, and that small pool converts at rates the anonymous drive-by never will. ### What are the alternatives for building direct audience? More funnel tooling optimizes the ask; it cannot grow the pool being asked. Paid acquisition buys traffic whose depth erodes on landing. The measured contrast is the argument: deep-reader sessions rose 91% on enabled titles and fell 22% on titles that changed nothing, same network, same nine months. ### How do I get started? Four weeks of measurement-only baseline first, so your own analytics hold the before. Then enablement on a named day; the deep-reader pool is a defined metric from day one. Authorization, CMS access, and infrastructure access are the requirements, with integration run by our team. Eight weeks from authorization to a measurable effect.