Keep new players past day three, and turn more of them into payers

Ziro Data reads player behaviour in real time through a knowledge graph, so you spot frustration before players quit and match every offer to the person seeing it.

Targets-40% player churnHigher IAP revenueLonger player lifetime

Built on the churn and segmentation methods we use for a national streaming platform.

Where the money leaks

Games and entertainment face heavy churn and rising acquisition costs. Analysing only after the fact is the core problem.

1

Early churn

User acquisition spend × the share of new players lost in the first 72 hours because onboarding is not personalised.

2

Lost high spenders

Revenue lost when top spenders leave because frustration or an unbalanced economy was not spotted early.

3

Wasted ad inventory

Ad revenue lost when irrelevant ads push non-paying players away.

Illustrative model

For a studio or platform with 100,000 monthly active users, these three leaks add up to

at least $75,000 a month

lost without behavioural churn prediction.

An example from our model, not a guaranteed figure. The audit calculates yours.

How much revenue is your game leaving on the table?

Set your daily players, payer conversion and revenue per payer. The estimate shows extra monthly revenue from personalised offers.

Estimated$0

extra revenue per month

Per year0
Check it with a 7-day audit

Illustrative estimate, not a promise. Assumes personalised offers convert 10% more players to payers. Your real figure comes from the 7-day audit.

See what we would find in your dataEvery industry audit is fixed-price, takes 7 days and ends with a prioritised plan.

Today, and with Ziro Data

What changes when your data is connected in one knowledge graph. Results marked "Target" are what we aim for with every client.

Today
With Ziro Data
Result
Players quit at the same level and nobody knows why
Frustration signals spotted live by the Game Onto graph
Target: 25% lower D1 and D7 churn
One offer and one price for everyone
Offers matched to each player's behaviour and budget
Higher payer conversion
Churn reports arrive after players leave
Retention actions triggered before they quit
Target: 15% higher player lifetime value

How it works: the Game Onto knowledge graph

Ordinary dashboards count events. A knowledge graph connects them, so the system understands why things happen and can act on it.

Player or viewerSkill level, preferred style, price sensitivity and play or watch times
Shows frustration pattern

Repeated fails on one level, or quitting a video after two minutes

Matches in-app offer

Player traits linked to the offers and content most likely to land

Triggers retention agent

Difficulty adjusted or a reward sent just before the player would leave

Ask it in plain language

"Which players are close to quitting at level 7 this week?"

The graph ranks them by risk and suggests the reward most likely to keep each one.

Three ways to work with us

Start with a fixed-price audit. Move up only when the numbers justify it.

Start

Game Economy & Churn Audit

7-day analysis of player flows, early drop-off points and a plan to fix the game economy.

$1,800Fixed priceStart with the audit
Core

Game Onto Intelligence Engine

Game events in a knowledge graph, churn prediction and dynamic in-app offers and pricing.

Setup + monthlyMonthly fee scales with MAUAsk about core
Scale

Autonomous LiveOps Workforce

AI agents that run live events, tune difficulty and guide high-spending players.

Base + share of LTV growthPerformance-basedAsk about scale

Proof from real work

Results in brackets are filled in once the client approves publishing them.

Method proof, entertainment

Churn and segmentation analytics for a national streaming platform

Problem
Viewers left without warning and teams counted churn differently.
What we built
One churn rule, behaviour segments and an at-risk list, the same method used for player retention.
Result
[Add a gaming case when available]
Read the case study

Works with the systems you already run

No new platform to buy. We connect what you have and keep everything in your accounts.

Data we connect

Game data
Event streamsUnity / Unreal telemetryGame servers
Monetisation
App storesIn-app purchase logsAd networks
Engagement
Push toolsCRMCommunity data

Privacy and security

  • Player data used with anonymised IDs
  • Age-appropriate handling for younger players
  • NDA signed before any access

Book a free call

Tell us what you want to solve. We reply within one business day.

Thanks. We'll reply within one business day.
30 minutes, no slides, no obligation.

Questions from gaming and entertainment teams

Do you work with mobile and PC games?
Yes. We work from your event data, whatever the platform.
What does the 7-day audit include?
Player flow analysis, early drop-off points and a written plan to fix the game economy.
Will AI change our game on its own?
Only within rules you set, and important changes keep a person in the loop.
How is the engine priced?
A setup fee plus a monthly fee based on monthly active users.