SOLUTIONS · BY VERTICALSWEEPSTAKES

Analytics that speaks both currencies of sweepstakes.

Sweepstakes looks like casino but runs on different physics: free-to-play economics where roughly one player in eight ever purchases, a dual ledger of Gold Coins and Sweeps Coins instead of deposits and withdrawals, prize redemptions that behave like a liability queue, and a legal map that shifts state by state. Generic BI reads deposits and bets — sweepstakes has neither. Gamblitude models the dual-currency economy natively: one governed warehouse, one semantic layer, and every workflow built for how sweepstakes operations actually work.

COIN LEDGERS2 → 1 GC + SC, one model
PAYOUT RATIO DRIFT±0.5pp flagged in-day
PAYER CONVERSION~12% tracked per cohort
REDEMPTION REVIEW60 → 1 min
BUILT FOR HOW SWEEPSTAKES ACTUALLY WORKS

Purchases on one side, prizes on the other. The margin lives in between.

Run the coin economy on evidence, treat redemptions like the liability they are, and grow the small share of payers that funds everything — three workflows the operating team runs every day, all reading the same governed numbers.

// 01 — COIN ECONOMY

Both ledgers. One honest P&L.

Gold Coin purchases on one side, Sweeps Coin grants and prize redemptions on the other — net revenue is what survives between them. Gamblitude models both currencies as first-class citizens, so package mix, payout ratio and grant costs stop being a spreadsheet reconciliation and become numbers you watch move.

Package and price-point performance — which bundles carry revenue, which just carry volume
Effective payout ratio by game, segment and cohort — drift visible from ±0.5pp, in-day
Every SC grant source costed: purchase bundles, daily login, social codes, leaderboards, AMOE
Breakage and expiry patterns across both ledgers — margin nobody was tracking
MASTER CHARTDASHBOARDSMETRICS
◆ NET REVENUE = PURCHASES − PRIZES — GOVERNED, VERSIONED, LIVE
// 02 — REDEMPTION RISK & INTEGRITY

Treat redemptions like the liability they are.

Redemption is where money actually leaves the business — and where multi-accounting, AMOE farming, device rings and playthrough gaming concentrate. Insight Radar watches the queue continuously and flags what matters before payout, not after; Search by ID reconstructs any account’s full history when compliance asks.

Redemption spikes and queue anomalies flagged in-day — with the accounts attached
Device rings and shared payment instruments surfaced before the payout clears
Playthrough and KYC funnel monitored end to end — where players stall, where abuse hides
State-eligibility enforcement tracked as the legal map moves — with a full audit trail
INSIGHT RADARSEARCH BY IDAI AGENT
◆ EXAMPLE — 41-ACCOUNT DEVICE RING, FLAGGED PRE-PAYOUT, SC 12.4K HELD
// 03 — PAYER LIFECYCLE

Grow the 12% that funds everything.

In sweepstakes, only about one player in eight ever purchases — and a fraction of those carry most of the revenue. The funnel from install to engagement streak to first purchase to repeat to VIP is the whole business. Gamblitude tracks it per cohort, per source and per streak state, so growth work aims at the step that is actually leaking.

First-purchase conversion by cohort, acquisition source and engagement streak
Purchase-propensity and churn signals from Predictive Models — days ahead, not after
High-value trajectories spotted early — before the VIP team hears about them
Streaks, daily grants and leaderboards correlated to the purchases they drive
LISTSPREDICTIVE MODELSDASHBOARDS
◆ INSTALL → STREAK → FIRST PURCHASE → REPEAT → VIP — ONE FUNNEL
PAYER BASE — SHARE vs REVENUE
SEGMENTPLAYERSREVENUE
Non-payers88.2%0%
First-time payers6.1%9%
Repeat payers4.6%30%
VIP tier1.1%61%
BEYOND THE COIN ECONOMY

The economy is the engine. These teams run on it too.

CRM, promo, support and finance all consume the same dual-ledger data — and most of their frustration comes from numbers that disagree between systems. Because every module shares one data model, every team acts on the same reality.

04
// CRM & VIP

Keep the whales. Wake the streaks.

Dynamic segments by payer tier, streak status, game preference and churn risk — refreshed with the warehouse, not with an export. Predictive purchase-propensity signals tell CRM who is one nudge from a first purchase and which VIP is quietly cooling off.

LISTSPREDICTIVE MODELS
◆ 1% OF PLAYERS ≈ 60% OF REVENUE — KNOW THEM BY NAME
05
// PROMO & GRANT ECONOMICS

What a free coin actually buys.

Daily login grants, social codes, tournaments and leaderboards all hand out SC to drive behaviour. Measure realised cost against the engagement and purchases each mechanic actually produced — and catch grant abuse patterns while they are still small.

METRICSREPORTS
◆ EVERY SC GRANT COSTED AGAINST THE BEHAVIOUR IT BOUGHT
06
// OPERATIONS & SUPPORT

The one-minute redemption dispute.

A redemption ticket usually means checking purchases, grants, playthrough status, KYC state and prize history across five systems. Search by ID collapses it into a single view, so support answers in a minute — with the audit trail already attached.

SEARCH BY ID
◆ 60 MINUTES → 1 MINUTE · FIVE SYSTEMS → ONE VIEW
07
// FINANCE & LIABILITY

Forecast payouts before they queue.

Prize liability is a forward number, not a month-end surprise. Predictive Models forecast purchase revenue, redemption volume and payout-ratio drift around the promo calendar — so finance plans cash against signals, not against last month’s average.

PREDICTIVE MODELSTARGETS
◆ REDEMPTION LIABILITY FORECAST — BEFORE IT HITS THE QUEUE
WHY SWEEPSTAKES OPERATORS CHOOSE GAMBLITUDE

F2P economics. Casino content. Promotional law. One model that speaks all three.

The clarity sweepstakes needs to run the coin economy, protect the payout ratio and grow the payer base — without building half the data stack in-house to get there.

Dual-ledger native — GC and SC modelled as first-class currencies, not a deposits workaround
Payout-ratio control — drift visible per game, package and segment — in-day
Integrity before payout — device rings, AMOE farming and playthrough gaming caught pre-redemption
Payer-lifecycle visibility — conversion, repeat and VIP trajectories per cohort and source
Eligibility that keeps up — a state-by-state view as the legal map moves, audit trail included
Governed KPIs — one definition of net revenue across product, finance and compliance
EVERY MODULE READS THE SAME
GOVERNED DATA MODEL
// COINS. STREAKS. SIGNALS.

How much of today’s redemption queue is one device ring?

Bring the payout question your dashboards couldn't answer. We'll put a dual-ledger sweepstakes model on screen and trace the answer back to the definition — live, in one call.

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