Module 05 · Analytics

Know every player. Decide with data.

Player intelligence inside the P2W admin — segments, churn risk and LTV forecasts on every player, refreshed daily.

8 segment dimensionsChurn predictionLTV forecastRevenue at risk

Analytics overview dashboard: KPIs, ML models, weekly trends, segment transitions

In-product demo data

PLUG2WIN · Managed engagement platform

One of six engines on a single coin economy — built, launched and operated by our team, steered toward your metrics.

The whole platform →

The problem

Tens of thousands of players. Decisions made blind.

Before

Bonuses go to everyone — budget burns with no return.

After

Bonuses go to players who are truly at risk or truly valuable.

Before

Churn is noticed after the player is gone.

After

High-risk players are visible in advance, while they can still be saved.

Before

Player “value” = what he deposited yesterday.

After

Forecast of future value (LTV) per player.

Before

VIPs are hunted manually in exports.

After

Whales are tracked automatically on a dedicated screen.

Retention instead of losses. Precise targeting instead of carpet-bombing bonuses.

The product

A decision-making hub for your player base.

/01 Player behavior

Bets, deposits, sessions.

/02 ML models

Churn · LTV · clustering — recalculated daily.

/03 Analytics module

Dashboards, lists, profiles in the admin.

/01Who is about to stop playing
— and who can still be saved?
/02Who brings money now
— and who will bring it next?
/03Where should the bonus budget go
— and where shouldn’t it?
/04How are players flowing between groups
— growing, fading, leaving?

Fresh every morningRead-only — safe for any employeeStrict brand isolationConfigured per brand

The language of the module

Any audience that matters — in clicks, not exports.

/01

Lifecycle

New › FTD › Activated › Engaged › Loyal › Fading › Churned

/02

Value tier

Micro / Standard / Premium / VIP — ranked within your brand

/03

Activity level

How often and how much?

/04

Gamification engagement

Does he react to missions and rewards?

/05

Deposit behavior

First Timer · Regular · Whale · Declining · Promo-Driven · Bonus Hunter

/06

GGR profile

Revenue Driver · Break-Even · Lucky Player · Bonus Dependent

/07

Game preference

Slots, live, tables?

/08

Session pattern

From Quick Impulse to Marathon — for communication timing

Filters, dashboards and segments are all built from these — any audience is a couple of clicks away. Also flags responsible-gaming signals: loss streaks, bet escalation after losses, max daily loss.

The forecasts

Two numbers that change how you spend.

Churn probability

The chance this player stops betting in the coming weeks.

HighMediumLow

Movement signals — an overnight risk spike and a steady multi-day climb both mean “react now”.

LTV forecast

Expected revenue (GGR) the player brings going forward.

Forward-looking value — not what he deposited yesterday.

Revenue at risk

LTV × churn — the money that walks out if you don’t act. In euros, not percent.

SORT BY IT — SAVE THE TOP FIRST →

Risk mix · churn window 14d

In-product demo data

2276players scored

High 60.6%Med 10.7%Low 28.6%

Avg churn probability by lifecycle

FTD80.8%

Activated69.9%

Engaged69.1%

Loyal43.5%

Declining31.8%

Sort any list by revenue at risk — save the top first.

Inside the module

The screens your retention team lives in.

/01 Segment transitions

See the trend before it hits revenue.

How players flow between groups — who grew in value, who is sliding toward churn
Net gain / loss for every segment value
A mass shift toward “Fading” is visible before GGR drops — investigate causes, not consequences

Segment transitions dashboard with per-dimension summaries

In-product demo data

/02 Churn — at-risk players

The retention core: who to save right now.

Distribution by risk level, risk across segments and the daily churn trend
A named list of players most likely to leave — while they can still be kept
Combine with value filters to protect revenue first

Churn dashboard: risk distribution, daily trend, risk by segment

In-product demo data

/03 LTV forecast

Budget by future value — not yesterday’s deposits.

Top players by predicted LTV, plus distribution and value-group breakdown
Invest in players with high future potential — not only those who deposited a lot yesterday
Revenue at risk and “high-LTV + high-churn” lists sit right next to it

LTV forecast dashboard with buckets and revenue at risk

In-product demo data · LTV flagged in-product as an early-stage model

/04 First-session cohorts

Where new players leak — and what a cohort is worth.

Every first session in one cohort view — 30 / 60 / 90-day windows, matured numbers
Return & stick — day-1+ and day-7+ return, active at day 30, redeposit within 30 days
The funnel: first session → attempt → FTD → redeposit — see where newcomers leak
90-day economics per cohort — deposits, GGR, hold, ARPU — sliced by country and session factors

First-session cohort dashboard with funnel and 90-day economics

In-product demo data

Also in the module

Segment explorerPlayer list — the workhorseGambling profile — full dossierWhale trackerGGR breakdownSessions & cohortsModel health — audited

In daily work

Five plays teams run every week.

/01Save valuable leavers
High value + high churn risk → a short named list → targeted retention, not “bonus for everyone”.
/02Stop burning bonus budget
LTV forecast points budget at future potential — away from bonus hunters and negative net-deposit players.
/03Catch the trend early
Transitions shows a mass slide into “Fading” before GGR drops.
/04VIPs under control
Whale tracker feeds the VIP team — especially whales with rising risk.
/05Understand one player
Gambling profile: the full dossier before a call, complaint review or personal offer.

The operating principle

Money and individuality to humans. Scale to automation.

Human — admin + VIP manager

Live today

VIPs, high-value players, “valuable + at risk”
Full dossier, revenue at risk, transition history
Dashboard → call / personal bonus

Automation — via CRM attributesRoadmap

Newcomers, fading mid/low value, reactivation, mass communications
Segment, risk, recency, favorite game as attributes → auto email / push / SMS, 24/7
Guardrails by design — VIPs auto-excluded, frequency caps, quiet hours, global unsubscribes

What we tell every client

Built honest. No inflated expectations.

/01Daily snapshot, not a live ticker
A fresh picture every morning — enough for management decisions, not split-second reactions.
/02Predictions are probabilities
The churn model ranks “who to save first” — probabilities, not a verdict; false positives happen.
/03“No prediction” is not “zero”
Empty means the model hasn’t scored this player yet — predictions cover active depositors.
/04LTV is a forward view
A newer model, sharper as history accumulates and less stable for whales.

Let’s talk

See your own players in it.

The module is live in the P2W admin today. Book a demo — we’ll walk through it on real dashboards and show what your retention team sees on day one.

Book a demo →calendly.com/plug-2-win/demo