iGaming Unit Economics Calculator

The number of scaling units - potential customers who interact with the platform during a specific period. This is your baseline for all conversion calculations.

Conversion to first purchase. One of the key product metrics that determines how well the product sells value. It has a non-linear impact on Contribution Margin and is the linking factor between scaling unit space and customer space: LTC = CLTC×C1, LTV = CLTV×C1

The number of customers, a derived metric defined through PAU and C1. This represents actual paying players who have made at least one deposit.

Total amount wagered by all players. This is the gross betting volume before any winnings are paid out.

Total gaming revenue before deductions. This represents the house edge in action - the difference between all bets placed and all winnings paid.

Real revenue after bonuses. This is what the business actually earns after promotional costs are deducted from gross gaming revenue.

Percentage of wagered money returned to players as winnings. Industry standard varies by game type, typically 94-98% for slots.

The operator's retained share of bets. This is the inverse of RTP and represents the mathematical advantage the house maintains.

Revenue generated per active user, including both depositing and non-depositing players. Measures overall platform monetization efficiency.

Revenue generated per depositing player only. This metric focuses on the value of converted players and is typically 3-5x higher than ARPU.

Average deposit amount per active user, including non-depositors. Measures deposit intensity across entire user base.

Average deposit from newly acquired players. Evaluates the quality of player acquisition and early monetization effectiveness.

Mean value per deposit transaction. This helps understand typical player spending patterns and set appropriate deposit limits.

Average number of deposits per player. Shows player loyalty and engagement. Higher APC indicates better retention and trust.

How many times deposited money is wagered before withdrawal. Higher turnover indicates better engagement and lower immediate withdrawal rate.

Percentage of registered players who make their first deposit. Critical conversion metric for acquisition efficiency.

Shows early retention and satisfaction. Players who make a second deposit are significantly more likely to become long-term customers.

Percentage of new players who return after 1 day. Early indicator of product-market fit and onboarding quality.

Percentage returning after 3 days. Critical metric for understanding if initial excitement translates to habit formation.

Week 1 retention. This is a standard industry benchmark for comparing platform stickiness.

Two-week retention. Players retained this long typically become medium-term customers.

Percentage of players lost over time. Used to predict customer lifetime and identify engagement issues.

Average number of gaming sessions per user. Higher values indicate better engagement and platform stickiness.

Average time spent per session. Longer sessions typically correlate with higher GGR but must be balanced against responsible gaming.

Activity intensity per gameplay session. Measures how actively players engage during each visit.

Financial outflow vs inflow balance. Lower ratio indicates better player retention and higher effective monetization.

Bonus load as percentage of gross revenue. Industry benchmark is typically 10-20%. Higher percentages may indicate inefficient promotions.

Percentage of bonuses that meet wagering requirements. Shows how effectively bonuses drive sustained engagement vs. bonus hunting.

Gross profit per customer over entire lifetime. Key metric showing total value generated by a converted player.

Gross profit per scaling unit (potential customer). Accounts for conversion rate to show value per acquired user, not just per depositor.

Expected duration a player remains active. Calculated based on cohort analysis and retention curves. Typical iGaming lifetime is 3-12 months.

Total cost to acquire and retain one customer. Includes marketing spend, bonuses, and retention costs over the customer lifetime.

Acquisition cost per scaling unit. Accounts for the fact that not all acquired users convert to depositing players.

Total profit generated from scaling units. This is the key metric showing if your unit economics are sustainable. Positive CM means each cohort is profitable.

Alternative calculation showing contribution margin from the customer perspective. Should equal the scaling unit calculation when properly configured.