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Promotions

Casino bonus cost and campaign ROI analysis

Put bonus cost beside player response

Build a casino bonus cost analysis that connects the promotion, incentive ledger and player outcomes. Define the cost and return before drawing conclusions about campaign ROI.

AskDataAnalytics

Promotions / Incentive lifecycle

What did the promotion cost, and what did players do next?

The analytical view

Put consumed bonus cost beside the response

Separate the value issued from the cost recognised in the review. Follow the eligible players into the same outcome window.

Issued
The offer value granted
Consumed
The cost event in the chosen definition
Expired or reversed
The balance needed to reconcile the offer

In AskData

Connect the offer, its cost and the player response

The campaign review distinguishes spending, observed response and the comparison needed to assess incremental value.

Analytics
Bring the incentive lifecycle and recipient activity into the campaign review. Keep costs already deducted from NGR visible.
AskData
Ask about the campaign’s spending or response, then open the cost event or player group behind the total.

The starting point

When cost and response are disconnected

Campaign definitions, bonus ledgers and recipient activity often arrive in separate reports. Treating issued value as consumed cost overstates spending; different treatment of bonus play creates discrepancies between views.

Analytics puts the offer, incentive cost and player response into one review. AskData opens a question about the campaign and follows it into the relevant records.

The analysis workflow

Build the review around the campaign

  1. Register the offer and eligibility

    Keep a stable campaign identifier, the offer terms, eligible population and applicable exclusions. Preserve assignment and actual exposure separately.

  2. Reconcile incentive events

    Trace issuance, redemption, consumption, expiry and reversal under the operator’s definitions.

  3. Join the outcome window

    Follow the same players through deposits, gameplay and defined economic value. Record overlapping offers and late-arriving transactions.

  4. Produce the comparison

    Use the planned holdout or the documented observational approach. Keep observed activity and estimated incremental effect distinct.

Connect the records

Keep the campaign ID through each layer

The same identifier should connect the offer definition with participation, costs and the selected follow-up period.

LayerRequired recordsCheck
OfferCampaign ID, eligibility, terms, dates and exclusions.Population and assignment rules are reproducible.
IncentiveIssued, redeemed, consumed, expired and reversed events.The cost measure reconciles to its source.
Player outcomeDefined value and activity over a fixed window.Exposed and comparison groups use the same definitions.
ComparisonAssignment, exposure, other offers and missing records.The conclusion matches the strength of the design.

What this enables

Give the next offer an evidence trail

Use the review to revise an offer, examine a specific player group or design the next campaign test. It also makes an accounting or data issue visible before it is mistaken for campaign performance.

The promotion measurement research explains why a comparison matters. Promotion analytics connects that method to the owner’s spending decision.

After implementation

Check whether the review can be reproduced

Measure the completeness and reproducibility of the review. Any financial campaign effect needs its own credible comparison.

MeasureHow to check it
Incentive reconciliationThe difference between the campaign ledger and the analytical cost measure, with reasons documented.
Assignment coverageThe share of eligible players with a preserved assignment and known exposure state.
Review reproducibilityWhether another analyst can reproduce the result using the same population, window and cost definition.

Discuss your use case

Tell us about your casino and the decisions you want to understand.

Contact AskData