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Website PersonalizationOne profile across every page and every session.Recommendation EngineWhat each visitor wants next, ranked by the algorithm you pick or one you write.A/B TestingA winner per audience, promoted mid-campaign rather than after it.Dynamic Landing PagesThe headline matches the ad they clicked.AI Search & Chat AgentAnswers from your own pages and catalogue, and a search box that replies in a sentence.Banners & Pop-UpsRight message, right moment, right page — without a developer.Social ProofLive scarcity, ratings and what other people just did.Meeting SchedulerVisitors book time on your own page — the meeting type, host and times picked by who they are.
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Email PersonalizationSend it from Personyze, or paste one block into the ESP you already use.Push, SMS & WhatsAppFired by what they just did rather than by a schedule.Hosted Landing PagesWe serve the whole page, on your domain or ours. No site to deploy to.
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Behavioral TargetingSegments that update themselves from what people actually do.ABM MarketingThe company behind an anonymous visit, joined to your CRM.Website AnalyticsSessions, bounce and revenue — then click a row and there is a person.
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Pricing
Content recommendation ROI calculator

Content recommendation ROI calculator

A reader who finishes one article and leaves is a missed opportunity. Smart “read next” recommendations keep them moving through your site — more pages, more engagement, more revenue. See what that's worth.

What are content recommendations worth?

Estimate the added revenue when personalized recommendations deepen each session and bring readers back. Adjust the inputs to match your site.

What kind of site is this?Sets the example and a baseline for how much recommendations move engagement. News and media gain the most from “read next”; knowledge/SaaS content and courses still benefit.
Do you recommend content today?How much room there is to improve. None = no recommendations yet (most upside). Basic = simple “related/recent” lists. Personalized = already behavior-based (least incremental upside).
How many visits your site gets per month. Recommendations act on each session to extend it.500,000
Average pages a reader views per visit today. Content sites typically run 1.5–3. Recommendations are the strongest lever for increasing this.1.8
Share of visits that leave after a single page. Good recommendations give one-and-done readers a reason to stay, lowering this.55%
How do you monetize? Pick how extra pageviews turn into revenue. Ads: each pageview is ad inventory (RPM). Subscriptions: deeper engagement lifts signups. Choose both if you do both.
Revenue per thousand pageviews from ads. Every extra pageview a recommendation drives is fresh ad inventory at this rate.$12
How many additional pages a good recommendation strategy adds per session. “Read next” recs reliably lift page depth; we default to a conservative +0.5. Adjust to your data.+0.5
With content recommendations
Pages per session1.8 → 2.3
Extra pageviews / mo+250,000
$3,000
added revenue per month
$36,000
added revenue per year from deeper engagement
+0.5 pages × 500,000 sessions → more impressions and revenue

Estimates only — built to show the value of deeper engagement, not a performance guarantee. Lift ranges are grounded in published benchmarks for content recommendations and page depth.

How the math works

One article and gone vs. a journey through your site

Most readers arrive from search or social, read one thing, and leave. A relevant “read next” recommendation turns that dead end into the next page — and the next. Every extra pageview is another ad impression and another chance to convert a casual reader into a subscriber.

1Depth is the strongest lever

Pages per session correlates with revenue per session far more than time on page. More pages means more ad inventory on every visit.

2Bounces become journeys

A relevant next article gives one-and-done readers a reason to stay, turning single-page exits into multi-page sessions.

3Engaged readers subscribe

Readers who explore several pages are far likelier to sign up or subscribe than those who read one and leave.

In Personyze

“Read next” that's actually personalized

Personyze recommends the next article, video, or story for each reader — based on what they're reading, their history, and what's trending — with related, popular, and personalized strategies. Built in a visual editor, no developer required.

  • Related, popular, and personalized article recommendations.
  • Driven by reading behavior and unified visitor data, updated in real time.
  • Placed inline, end-of-article, or in sidebars without code.
  • A/B test strategies and placement so the lift is measured, not assumed.

Frequently asked questions

How is content recommendation ROI calculated?

We apply the extra pages per session that recommendations add to your monthly sessions, producing additional pageviews. For ad-supported sites, those pageviews are valued at your RPM. For subscription sites, the deeper engagement lifts your visitor-to-subscriber rate. The result is the added revenue per month and per year.

Why do pages per session matter so much?

For ad-supported publishers, every pageview is another ad impression, so page depth correlates with revenue per session far more strongly than time on page. A reader who views four pages generates far more inventory than one who spends the same time on a single page.

How much lift can recommendations add?

It varies by site and placement, but “read next” recommendations are consistently one of the most effective ways to increase page depth and reduce bounce. The calculator defaults to a conservative half-page lift per session and lets you adjust it to match your own data.

Do I need developers to add recommendations?

No. Personyze places personalized content recommendations through a visual editor on top of unified visitor data, so editorial and marketing teams can launch them without engineering work.

Keep readers reading

Every one-and-done reader is revenue that walked out.

A relevant next article turns a single pageview into a journey — more impressions, more engagement, more subscribers. Give every reader somewhere to go next.

No code · Real-time · Significance built in