Stickiness in iGaming: Definition, Formula and What This Engagement Ratio Reveals
Stickiness is the ratio of Daily Active Users to Monthly Active Users (DAU/MAU), expressed as a percentage. It measures how habitual the engagement of the active player base is. A higher number means the average monthly active player shows up more days per month. Borrowed from…
TL;DR
Stickiness is the ratio of Daily Active Users to Monthly Active Users (DAU/MAU), expressed as a percentage. It measures how habitual the engagement of the active player base is. A higher number means the average monthly active player shows up more days per month. Borrowed from consumer software, stickiness has become a useful complement to retention metrics in iGaming because it captures within-period engagement intensity rather than period-to-period continuity.
Formula
In its simplest form:
A stickiness of 0.5 (or 50 percent) means the average monthly active player is active half the days of the month. A stickiness of 0.1 means the average monthly active player is active 3 days of the month. Both can be valid for different products.
A typical warehouse-level aggregation:
Warehouse-level aggregationWITH dau AS (
SELECT AVG(daily_actives) AS avg_dau
FROM (
SELECT DATE(bet_date) AS day,
COUNT(DISTINCT player_id) AS daily_actives
FROM bets
WHERE bet_date BETWEEN :start AND :end
GROUP BY 1
)
),
mau AS (
SELECT COUNT(DISTINCT player_id) AS monthly_actives
FROM bets
WHERE bet_date BETWEEN :start AND :end
)
SELECT dau.avg_dau * 1.0
/ NULLIF(mau.monthly_actives, 0) AS stickiness
FROM dau, mau;Why it matters in iGaming
Retention metrics tell you whether players come back across periods. Stickiness tells you how often they engage within a period. The two are complementary: high retention with low stickiness describes a product where players come back occasionally but not habitually. High retention with high stickiness describes a product that has become part of players' routines.
Different teams read stickiness differently:
- Product treats stickiness as a top-level signal of how habit-forming the platform is.
- CRM uses stickiness changes as an early warning of engagement deterioration before it shows up in MAU.
- Executives compare stickiness across markets and brands as a portfolio-level engagement signal.
- Marketing reads stickiness by acquisition channel as a quality differentiator beyond pure conversion.
Stickiness is also one of the metrics that varies most by product structure. Casino-led operators show structurally higher stickiness than sportsbook-led operators, because casino is closer to a daily product. Lottery operators show very low stickiness because the product is purchase-and-leave. None of this is good or bad in itself; it reflects the product.
Common mistakes and how teams get stickiness wrong
Comparing stickiness across products as if they were the same. Casino, sportsbook and lottery have structurally different stickiness profiles. Comparing them on the same scale produces wrong conclusions about engagement quality. Product-segmented stickiness is more useful than aggregate.
Treating low stickiness as a problem. A sportsbook with a stickiness of 0.10 is not necessarily worse than a casino with a stickiness of 0.30. The two products have different natural engagement shapes. Internal trends matter more than absolute levels.
Inconsistent active definition. Stickiness using login-based DAU and MAU produces different numbers from stickiness using settled-bet-based DAU and MAU. Mixing definitions in the same trend produces silent breaks.
Ignoring event-driven distortions. Sportsbook stickiness spikes around major tournaments because more players are active simultaneously on event days. The metric needs context (fixture density) to read meaningfully.
Reading stickiness without retention. High stickiness on a shrinking active base is alarming, not reassuring. Stickiness alone tells you within-period intensity; retention tells you whether the base is growing or shrinking. Both metrics are needed.
Healthy ranges and benchmarks
Stickiness varies dramatically by product. Directional patterns:
- Casino-led operators typically show stickiness in the 0.15 to 0.35 range, with strong daily-habit casinos approaching 0.40.
- Sportsbook-led operators typically show stickiness in the 0.05 to 0.15 range, spiking higher during major tournaments.
- Lottery operators show very low stickiness (often below 0.05) because the product structure favours occasional engagement.
- VIP cohorts show meaningfully higher stickiness than the general base in most operators.
- Stickiness above 0.50 in iGaming is unusual and warrants RG attention as a potential overengagement signal.
These are directional patterns based on industry observation, not strict benchmarks. Internal trend tracking and product-specific comparisons are far more useful than absolute industry numbers.
How Gamblitude handles stickiness
In Gamblitude, stickiness (DAU/MAU) is a governed Metric exposed alongside its constituent DAU and MAU values. Variants include WAU/MAU as a complementary signal of weekly engagement intensity. Product-specific variants (Casino Stickiness, Sportsbook Stickiness, VIP Stickiness) coexist as separate Metrics. Insight Radar surfaces meaningful drift in stickiness, which often appears as an early signal of engagement change before it shows up in MAU itself.
FAQ
It depends on the product. Casino-led operators typically achieve higher stickiness than sportsbook-led operators because casino is closer to a daily product. Lottery is even lower. The right comparison is internal trend over time, not an absolute industry number.
Because the ratio captures how often the average monthly active player shows up. A stickiness of 0.5 means the average MAU player is active 50 percent of the days of the month. Higher numbers indicate more habitual engagement. The metric was popularised by social and gaming apps and translates directly to iGaming.
Conceptually rare in iGaming, but worth attention. Very high stickiness (above 0.5 sustained) can correlate with overengagement and warrant responsible gambling review. Modern operators read stickiness through both engagement and RG lenses, particularly at the VIP cohort level.
Stickiness measures the share of days a player is active. Sessions per user measures the number of distinct sessions a player has. A player active twice in one day on two separate sessions counts as one active day for stickiness but two sessions. The two metrics describe different aspects of engagement intensity.
Both, separately. Brand-level stickiness evaluates each consumer-facing brand. Operator-level stickiness rolls them up. Operators with cross-brand player overlap need careful identity deduplication for the operator-level number to be meaningful.
Further reading
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