Percentage of players using limit protection
Definition
"Limit protection" refers to user restrictions that reduce financial and behavioral risks: deposit/expense/loss limits, bet limit, session time limit, reality check/reminders, cool-off/pause.
Key indicator 2025
46-50% of players had at least one defensive limit active during the year.
Growth by 2024: + 6-8 percentage points (onboarding effect with the obligatory choice of limits and more noticeable RG widgets).
Structure by limit type (intersections are present)
Deposit: 35-40% of players set a daily/weekly/monthly ceiling.
Session time: 20-25%.
Loss limit: 10-12%.
Bet limit: 8-10%.
Reality check/timers: 28-32%.
Segmentation by age
18-24: 52-55% set a ≥1 limit (high sensitivity to onboarding and push reminders).
25-34: 55-60% - the maximum share (active mobile audience, better familiar with RG tools).
35–44: 44–48%.
45+: 36–40%.
Segmentation by product
Slots: limits for ≈50% of players; deposit and reality check dominate.
Live casino: ≈42% limits; more often - time/rate limit.
Tournaments: ≈38% limits (time and expense, activated for the event period).
Regional differences (states)
NSW: 50-52% (highest share).
VIC: 47–49%.
QLD: 44–46%.
WA: 42–44%.
SA: 41–43%.
The gap is associated with differences in communications about responsible play and the UI location of RG elements.
Limit activation triggers
Onboarding/first deposit: 35-40% of all activations.
Losing streak/rate increase: 25-30%.
Reality check during the session: 18-22%.
After consulting RG support/materials: 10-12%.
Behavioral effect (vs players without limits)
Time per day: − 18-22%.
Re-deposit rate: − 12-15%.
Average rate: − 8-10% (offset to low-density slots).
The share of "jerks" of bets at the final of the session: − 10-12%.
Complaints/chargeback risks: − 20-25% among those who activated the loss limit.
VIP/High Rollers
Share with limits: 28-32% (below average), but among those who connected loss limit + cool-off, the frequency of risky patterns decreases by 15-18%; cache outs become more regular.
Dynamics 2023 → 2025
Any limit: ~ 38-40% → 46-50%.
The main driver is the transfer of RG settings to the mandatory step of the CC/first deposit and the appearance of pre-configured presets (for a week/month).
Operating metrics for casino reporting
Active Limit Coverage (ALC): the share of players with a ≥1 limit (target 50% +).
Multi-Limit Rate (MLR): ≥2 the user's limit (target 35% +).
Time-to-Limit: median from registration to first activation (target ≤72 h).
Limit Retention 30/90: the proportion of those who retained the limit after 30/90 days.
Breach/Override Rate: attempts to raise/remove the limit to cooling-off (QoQ must fall).
RG-CTA CTR: clickability of RG widgets on the main/porridge/in the game.
Practical conclusions 2025
1. Mandatory selection of limit presets on onboarding increases ALC by 8-10 pp.
2. A reality check every 20-30 minutes reduces the pace of bets without a noticeable blow to the DAU.
3. The Weekly Budget widget and weekly recap in push/email increase MLR by 4-6 percentage points.
4. Placing RG buttons inside a session (and not just in a profile) gives + 15-18% to time limit activations.
Result
In 2025, almost half of the Australian online casino audience uses limit protection, and not only coverage is growing, but also depth - a combination of deposit, time and loss limits. The effect is fewer impulsive bets, lower risk of complaints and more predictable behavior. For operators, the priority is to make the RG tools visible by default, with quick presets and triggers at the time of increased risk.
"Limit protection" refers to user restrictions that reduce financial and behavioral risks: deposit/expense/loss limits, bet limit, session time limit, reality check/reminders, cool-off/pause.
Key indicator 2025
46-50% of players had at least one defensive limit active during the year.
Growth by 2024: + 6-8 percentage points (onboarding effect with the obligatory choice of limits and more noticeable RG widgets).
Structure by limit type (intersections are present)
Deposit: 35-40% of players set a daily/weekly/monthly ceiling.
Session time: 20-25%.
Loss limit: 10-12%.
Bet limit: 8-10%.
Reality check/timers: 28-32%.
💡Overlapping audiences: ~ 60-65% of users with limits use 2 + tools simultaneously.
Segmentation by age
18-24: 52-55% set a ≥1 limit (high sensitivity to onboarding and push reminders).
25-34: 55-60% - the maximum share (active mobile audience, better familiar with RG tools).
35–44: 44–48%.
45+: 36–40%.
Segmentation by product
Slots: limits for ≈50% of players; deposit and reality check dominate.
Live casino: ≈42% limits; more often - time/rate limit.
Tournaments: ≈38% limits (time and expense, activated for the event period).
Regional differences (states)
NSW: 50-52% (highest share).
VIC: 47–49%.
QLD: 44–46%.
WA: 42–44%.
SA: 41–43%.
The gap is associated with differences in communications about responsible play and the UI location of RG elements.
Limit activation triggers
Onboarding/first deposit: 35-40% of all activations.
Losing streak/rate increase: 25-30%.
Reality check during the session: 18-22%.
After consulting RG support/materials: 10-12%.
Behavioral effect (vs players without limits)
Time per day: − 18-22%.
Re-deposit rate: − 12-15%.
Average rate: − 8-10% (offset to low-density slots).
The share of "jerks" of bets at the final of the session: − 10-12%.
Complaints/chargeback risks: − 20-25% among those who activated the loss limit.
VIP/High Rollers
Share with limits: 28-32% (below average), but among those who connected loss limit + cool-off, the frequency of risky patterns decreases by 15-18%; cache outs become more regular.
Dynamics 2023 → 2025
Any limit: ~ 38-40% → 46-50%.
The main driver is the transfer of RG settings to the mandatory step of the CC/first deposit and the appearance of pre-configured presets (for a week/month).
Operating metrics for casino reporting
Active Limit Coverage (ALC): the share of players with a ≥1 limit (target 50% +).
Multi-Limit Rate (MLR): ≥2 the user's limit (target 35% +).
Time-to-Limit: median from registration to first activation (target ≤72 h).
Limit Retention 30/90: the proportion of those who retained the limit after 30/90 days.
Breach/Override Rate: attempts to raise/remove the limit to cooling-off (QoQ must fall).
RG-CTA CTR: clickability of RG widgets on the main/porridge/in the game.
Practical conclusions 2025
1. Mandatory selection of limit presets on onboarding increases ALC by 8-10 pp.
2. A reality check every 20-30 minutes reduces the pace of bets without a noticeable blow to the DAU.
3. The Weekly Budget widget and weekly recap in push/email increase MLR by 4-6 percentage points.
4. Placing RG buttons inside a session (and not just in a profile) gives + 15-18% to time limit activations.
Result
In 2025, almost half of the Australian online casino audience uses limit protection, and not only coverage is growing, but also depth - a combination of deposit, time and loss limits. The effect is fewer impulsive bets, lower risk of complaints and more predictable behavior. For operators, the priority is to make the RG tools visible by default, with quick presets and triggers at the time of increased risk.
