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.

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.

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 solutionArticle · reader signal
Personal paywall
Continue reading, annual at €7/mo for you.
Upgrade
Move premium to annual
Detect readers ready to commit and offer the annual plan with the exact incentive that clears their hurdle.
Explore the solutionPlan 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.
Explore the solutionChurn risk · 30d
0.80
Newsletters
Grow habit, not fatigue
Agents decide who gets which newsletter, when, building daily habit without burning inbox.
Explore the solutionMessage composed · 1:1
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
Solutions
Solutions for media.
The growth motions Markin runs on your media stack, on day one.
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.