INDUSTRY/Gaming
Lift LTV per player, without burning the base.
Onboarding, first purchase and live-ops in one loop. Markin personalizes offers and re-engagement 1:1, protecting engagement while growing revenue.
Markin for Gaming
+36%
D7 retention on new installs
+22%
payer conversion
+18%
LTV on top decile
The reality today
What growth looks like in gaming.
Every gaming 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.
- D7 retention is fragile, and the onboarding funnel is the same for everyone.
- Monetization leans on whales, the payer base stops growing.
- Live-op impact is measured too late to steer.
- Lapsed players get generic push blasts, not personal reasons to come back.
Use cases
How gaming teams grow ARPU with Markin.
Onboarding
From install to habit
Personal missions and rewards for the first sessions, moving new players to the moment they stop being fragile.
Explore the solutionUser journey · scored live
Monetization
First purchase, no whales-only
Agents pick the store offer, timing and price per player, expanding the payer base without discounting whales.
Explore the solutionNext best offer · scored per user
Live-ops
Events that actually convert
Personal event slates, offers and bundles, auto-tuned per player segment as the live-op is running.
Explore the solutionTier progress · Gold
3 more sessions this week to unlock a personal reward.
Personal challenge activeRe-engagement
Win the lapsed player back
Detect drop-off and craft the exact reason to come back, content, offer, or friend nudge, per player.
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 doubled payer conversion without touching our monetization curve for whales. Markin found the players who were one nudge away from a first purchase.
Head of Live-ops
Top-10 mobile game studio
Solutions
Solutions for gaming.
The growth motions Markin runs on your gaming stack, on day one.
Also in this space
Related industries.
FAQ
How fast can we see impact in gaming?
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 gaming stack.
A 30-minute demo on your real data, the same agents, the same decisions, the same 1:1 execution.