The Markin ROI Report for Enterprise Growth TeamsRead now
MARKIN

INDUSTRY/Media

From reader to subscriber, personally.

Personalize paywall, offer and re-engagement in real time. Markin moves every reader from free, to premium, to annual, with the right message at the right time.

MediaMedia

Markin for Media

+46%

paywall conversion

+18%

annual plan mix

-27%

voluntary cancels

The reality today

What growth looks like in media.

Every media team we talk to fights the same set of frictions. Markin doesn’t add a tool on top, it replaces the rule trees and segments with a decision per user.

  • One paywall for every reader leaves conversion on the table.
  • Cancel spikes right after the intro price ends.
  • Newsletter fatigue kills daily habit before it forms.
  • Annual plan mix stays low, ARPU stays flat.
Media

Use cases

How media teams grow ARPU with Markin.

Paywall

The right paywall per reader

Timing, price, and message tuned per user, from meter to hard stop, protecting engagement while lifting conversion.

Explore the solution
Agent · Web

Article · reader signal

Personal paywall

Continue reading, annual at €7/mo for you.

SubscribeMaybe later

Upgrade

Move premium to annual

Detect readers ready to commit and offer the annual plan with the exact incentive that clears their hurdle.

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Agent · In-app

Plan match · per user

Basic

Recommended for this user

€9

Premium

€14

Annual

€119

Retention

Save the cancels that matter

Predict cancels weeks ahead and trigger content, discount or human touch, only for the readers worth saving.

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Agent · Email

Churn risk · 30d

0.80

Save play ready

Newsletters

Grow habit, not fatigue

Agents decide who gets which newsletter, when, building daily habit without burning inbox.

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Agent · Email

Message composed · 1:1

PushEmailSMSIn-app

Preview

Hey Sara, your usual weekend picks are 20% off through Sunday.

Sent 09:14 local · optimal open window

The actual difference

A decisioning engine picks the best action from a list you wrote. Markin writes the list, and runs it in your stack.

Think of Markin as a data science and growth team that never sleeps: it investigates, forms hypotheses, ships them into your own stack and proves each one against a control group, at a volume no human team can reach.

  • Marketing
  • Product
  • Commercial
  • Technical health

Hypothesis space

Everything a human growth scientist would look at.

Most growth problems are not message problems. Markin is not restricted to the campaign surface: if something is holding ARPU back, it is in scope, and it gets tested the same way.

Marketing

The classic surface, but chosen per customer rather than per segment, and always against a holdout.

  • Which offer this specific customer is worth making
  • Channel and timing chosen per person, not per campaign
  • Contact pressure and fatigue arbitrated across every programme
  • Win-back economics: who is worth a discount and who is not

Product

Where the customer actually experiences the value, and where most silent revenue loss happens.

  • Onboarding steps that lose customers before first value
  • A feature with high retention correlation that half the base never discovers
  • Paywall and upgrade prompt placement
  • In-product surfaces used as a treatment arm, not just email and push

Commercial

Pricing, packaging and the shape of the offer itself, tested rather than argued about.

  • Plan and bundle structure by cohort
  • Discount depth against margin, not against conversion alone
  • Annual versus monthly framing per customer
  • Dunning and involuntary churn recovery sequences

Technical health

Anomalies nobody asked it to look for. This is the category no decisioning engine covers.

  • A checkout error rate that rose on one device and one region
  • Payment failures concentrated in a single issuer or method
  • A broken deeplink quietly killing a high-value journey
  • Latency or delivery degradation eating conversion before any message does

Think of Markin as a data science and growth team that never sleeps: it investigates, forms hypotheses, ships them into your own stack and proves each one against a control group, at a volume no human team can reach.

We stopped A/B testing paywalls and started tuning them per reader. Paywall conversion went up almost 50%, and complaints went down.

Head of Subscriptions

National news publisher

Also in this space

Related industries.

FAQ

How fast can we see impact in media?

Most teams run a first pilot in 30 days on a single motion (e.g. churn or cross-sell) and see measurable ARPU lift inside 90 days.

Do we need to move our data?

No. Markin reads from your warehouse, CDP or product events directly, nothing gets copied, nothing gets locked in.

How does Markin fit our existing CRM, app and contact center?

Markin executes into the systems you already have, Braze, Iterable, Salesforce, Twilio, your own app SDKs and contact-center tools, via native integrations.

How is this different from a rules engine or campaign tool?

You don’t author segments or rule trees. Agents decide per person, per moment, and are evaluated against ARPU, not opens or clicks.

What about data security and compliance?

Markin is SOC 2, ISO 27001 and GDPR ready, with least-privilege access, per-tenant encryption and audit logs on every agent decision.

See Markin run on your media stack.

A 30-minute demo on your real data, the same agents, the same decisions, the same 1:1 execution.