SOLUTIONS · SWEEPSTAKES
Sweepstakes analytics.
Follow the full economy.
Connect purchases, coin activity and redemptions in one analytical view.
Give product, CRM, operations and finance shared definitions for the events that drive the business. Compare payer cohorts, promotion activity and redemption progress with the underlying records in view.
DESIGNED AROUND DISTINCT FLOWS
Keep the currencies distinct.
Connect the business story.
Sweepstakes analytics examines purchase revenue, virtual-currency issuance and use, prize redemptions and participant behaviour. Where an operator uses separate non-redeemable and redeemable currencies, such as Gold Coins and Sweeps Coins, the analytical model must preserve those distinctions. Gamblitude connects source records and agreed definitions rather than treating every currency movement as cash revenue.
Understand how packages, grants and play connect.
Compare purchase packages and recorded coin issuance by source. Keep balances, promotional grants, play activity and redeemed prizes distinguishable. Use clearly defined ratios and periods to understand how package and grant mix relate to commercial performance.
See where redemptions need attention.
Analyse requested, pending, approved, rejected and completed redemptions where these statuses exist in the source. Compare queue age and processing stages alongside available account and verification records. Use the evidence to investigate an operational change; approval, eligibility and payout decisions remain with the operator’s systems and teams.
Understand the path from participation to repeat purchase.
Measure first-purchase conversion, repeat purchase and value by acquisition cohort and source. Build Segments around observed behaviour and product preference. Use Reports to compare campaigns and grants with subsequent purchases, keeping observation windows and attribution consistent.
The data foundation
Every event keeps its currency, status and meaning.
Map your currency and redemption structure during setup, keeping units, event types, statuses and timestamps explicit. Agree the financial definitions with your finance team so operational purchase and redemption measures can be reconciled with revenue, costs and obligations.
Sources to connect
- Package purchases, payment outcomes and refunds from the available commerce or payment records
- Currency ledgers with unit, issuance source, promotional grants, play movements and adjustments
- Redemption requests, status changes and completed prize-payment records
- Account, acquisition and campaign data, plus available verification or eligibility statuses
Metrics to define
- Purchase value, successful purchasers, refunds and package mix
- Issued and used currency by unit and source, with separately defined redemption ratios
- Requested, pending and completed redemption value; queue age and stage duration
- First-purchase and repeat-purchase rates by cohort, observation window and acquisition source
Example questions
Start with the question
behind the number.
Which package and grant sources changed alongside the latest shift in purchase revenue and redemption activity?
Where has the pending redemption queue grown, and which stages account for the increase in processing time?
Which acquisition cohorts made a first purchase and returned to purchase again within the same observation window?
AI in the workflow
Ask. Follow. Investigate.
AI Agent
Explore purchase, currency and redemption measures using the operator’s agreed definitions. Follow the supporting data into a more specific cohort, source or period.
Insight Radar
Set a recurring investigation into a known operational question. Include the statuses, comparison period and population the check should cover.
Autonomous Agent
The agent selects investigative threads in connected business data and develops related findings. Your team reviews the evidence, chooses the response and can continue the investigation with AI Agent.
Explore the products
The capabilities
behind the workflow.
Data Warehouse
Connect operational sources and agree the data model behind your analysis.
Business Intelligence Platform
Explore performance through Dashboards, Master Chart, Segments, Reports and Targets.
AI for iGaming
Ask questions, schedule recurring investigations and commission reports.
Autonomous Agent
Review independently initiated investigations and follow the evidence into chat.
Predictive Models
Explore available player-level models and discuss their fit with your data and objectives.
Questions & answers
Sweepstakes analytics
explained.
What is sweepstakes analytics?
Sweepstakes analytics connects purchase activity, virtual-currency movements, redemptions and participant behaviour. It gives operators a way to examine commercial performance and operations while preserving the different meanings of cash, non-redeemable currency and redeemable currency in their own product design.
Can Gold Coins and Sweeps Coins be analysed separately?
Yes, when the source ledgers identify the currency and event type. The data model preserves each unit and its issuance, use and adjustment records. During setup, we map the ledger structure used by your platform and the identifiers available for analysis.
How should we measure purchase and redemption performance?
Track purchases, refunds, currency grants and redemptions separately, with clear periods and statuses. Define each ratio before comparing games, packages or cohorts. Work with finance to align these operational measures with the revenue, costs and obligations relevant to your business.
Can Gamblitude investigate redemption delays or unusual patterns?
Use connected redemption and account records to inspect queue changes, processing stages and unusual patterns. Explore the details with BI or AI Agent, and schedule recurring questions with Insight Radar. Your operations team reviews the findings and owns approval or payout decisions.
Can we include eligibility and verification data in the analysis?
Yes, where your systems supply those statuses and access is agreed. Use them as context when examining account or redemption activity. Your operator processes remain responsible for eligibility rules and legal requirements; analytics reports the available records rather than making those determinations.
Can predictive models help with payer retention?
A retention application can be assessed against your purchase and activity history, with a target and evaluation suited to your product. Purchase revenue differs from casino GGR, so model fit needs to be established for the measure you want to predict. Predictive Models are separately scoped and quoted.
See Gamblitude in action
Bring the question between purchase and redemption.
We’ll walk through how the relevant events, currency definitions and cohorts can support your analysis, using a product demonstration and a clear view of the data required.