Our Vanilla Out‐of‐the‐Box solution delivers a consistent data structure tailored for casino operations. Designed for marketers, it enables easy segmentation and personalized campaigns. Below, you will find detailed information on the output attributes for the Casino vertical.
What Data Should You Send?
To unlock powerful segmentation, predictive insights, and personalized campaigns for your casino, Optimove requires specific data about your players and their activities. Providing accurate and complete data ensures you can leverage the full range of attributes—like demographic details, gaming behaviors, and predictive scores—described in this article. The following data types are essential:
- Customers: Information about your players, such as age, country, and contact preferences, used to build personalized profiles and target specific audiences.
- Transactions: Records of deposits, withdrawals, and bonuses, critical for calculating financial metrics like average deposit amounts and identifying high-value players.
- Games: Details of player gaming activity, including bets and wins, which drive insights into preferences and engagement levels.
- Game Types & Categories: Data on game names and categories (e.g., slots, table games), enabling tailored promotions based on players’ favorite games.
Properly preparing these data sets allows Optimove to deliver the actionable insights needed to engage New Players, retain Active Players, and reactivate Churned Players effectively. See Prepare your data for Optimove for more information.
What You Will See in Your Instance
Our solution provides a rich set of attributes to help you understand and engage your casino players effectively. Below, each category of attributes is detailed with practical use cases and comprehensive tables.
Demographic Attributes
Demographic attributes provide essential information about your players’ identities and locations, enabling personalized marketing and segmentation. For example:
- The casino company uses the AGE attribute from the Customers table to segment players into different age groups and tailor targeted promotional campaigns that increase engagement and retention.
| Attribute Name | Description | Source Table |
|---|---|---|
| Player ID | The PLAYER_ID from CUSTOMERS table | Customers |
| The EMAIL from CUSTOMERS table | Customers | |
| First Name | The FIRST_NAME from CUSTOMERS table | Customers |
| Last Name | The LAST_NAME from CUSTOMERS table | Customers |
| Mobile Number | The MOBILE_NUMBER from CUSTOMERS table | Customers |
| Date of Birth | The DATE_OF_BIRTH from CUSTOMERS table | Customers |
| Age | Calculated from the DATEOFBIRTH column in the CUSTOMERS table | Customers |
| Gender | The GENDER from CUSTOMERS table | Customers |
| Country | The COUNTRY from CUSTOMERS table | Customers |
| City | The CITY from CUSTOMERS table | Customers |
| Language | The LANGUAGE from CUSTOMERS table | Customers |
| Registration Date | The REGISTRATION_DATE from CUSTOMERS table | Customers |
| Address | The ADDRESS from CUSTOMERS table | Customers |
| Affiliate Id | The Affiliate Id field from CUSTOMERS table | Customers |
| Alias | The Alias field from CUSTOMERS table | Customers |
| Balance | The BALANCE from CUSTOMERS table | Customers |
| Name | The Casino Name field from CUSTOMERS table | Customers |
| Currency | The Currency field from CUSTOMERS table | Customers |
| Referral Type | The Referral Type field from CUSTOMERS table | Customers |
| Registered Platform | The Registered Platform field from CUSTOMERS table | Customers |
Consent Related Attributes
The consent-related attributes track a customer's communication preferences and verification statuses across channels, including email, SMS, and push, as well as flags for opt-in status, test accounts, and general eligibility—all sourced from the Customers table. A kickoff meeting will be held for each channel to provide specific guidance and ensure proper setup based on the channels in use. For example:
- The casino uses the ALLOW_EMAIL attribute to send targeted “Welcome Back” offers to Reactivated Players, increasing retention.
| Attribute Name | Description | Source Table |
|---|---|---|
| Allow Email | Allow communication via email | Customers |
| Allow Push | Allow communication via push notifications/messages | Customers |
| Allow SMS | Allow communication via SMS | Customers |
| Allow WhatsApp | Allow communication via WhatsApp | Customers |
| Is Blocked* | The IS_BLOCKED from CUSTOMERS table | Customers |
| Is Email Verified | Customers email is verified | Customers |
| Is Optin | The IS_OPTIN from CUSTOMERS table | Customers |
| Is SMS Verified | Customers phone number is verified | Customers |
| Is Test* | The IS_TEST from CUSTOMERS table | Customers |
Please Note: The Is_OptIn attribute acts as a general consent indicator for receiving marketing messages. It is used to query or segment customers who have opted into at least one communication channel, enabling flexible targeting of those with active marketing consent. For example, if a customer opts into email but not push notifications, their attributes would show Allow_Push = 'No', Allow_Email = 'Yes', and Is_OptIn = 'Yes'.
Attributes marked with * are not specific to channel consent but can be used to exclude customers ineligible for marketing communications.
Please Note: As consent-related attributes are provided alongside other customer data, you are responsible for managing the associated logic, rules, and maintenance.
Calculated Attributes
Calculated attributes track players’ gaming and financial behaviors, providing insights for targeting high-value players and optimizing campaigns. These attributes are categorized into Frequency Attributes, Monetary Attributes, and Recency Attributes, calculated over the following snapshot periods:
- Lifetime: Daily aggregated data over the entire customer history
- 2 Weeks: Daily aggregated data calculated based on the last two weeks' data
- 1 Month: Daily aggregated data calculated based on the last month’s data
- 3 Months: Daily aggregated data calculated based on the last three months' data
- 1 Year: Daily aggregated data calculated based on the last year’s data
For example:
- The casino uses the AVERAGE_DEPOSIT_AMOUNT attribute to identify high-value New Players and offer them VIP bonuses, boosting deposit frequency.
| Attribute Name | Description | Source Table | Snapshot Periods |
|---|---|---|---|
| Number of Activity Days, Lifetime* | Number of activity days (activity= deposit or bet), lifetime | Transactions, Games | Lifetime, 2 Weeks, 3 Months |
| Number of Bonus Casino Games, Lifetime* | Number of bonus casino games, lifetime | Games | Lifetime |
| Number of Bonus Casino Winning Games, Lifetime* | Number of bonus money casino winning games, lifetime | Games | Lifetime |
| Number of Bonus Granted, Lifetime* | Counting the number of bonus transactions granted from the Transactions table, lifetime | Transactions | Lifetime |
| Number of Casino Game Days, Lifetime* | Number of casino game days, lifetime | Games | Lifetime |
| Number of Casino Games, Lifetime* | Number of casino games, lifetime | Games | Lifetime, 2 Weeks, 3 Months |
| Number of Casino Mobile Games, Lifetime* | Number of casino mobile games, lifetime | Games | Lifetime |
| Number of Casino Web Games, Lifetime* | Number of casino web games, lifetime | Games | Lifetime |
| Number of Casino Winning Games, Lifetime* | Number of casino winning games, lifetime | Games | Lifetime |
| Number of Deposit Days, Lifetime* | Counting the number of deposit days from the Transactions table, lifetime | Transactions | Lifetime, 2 Weeks, 3 Months |
| Number of Deposits, Lifetime* | Counting the number of deposits from the Transactions table, lifetime | Transactions | Lifetime, 2 Weeks, 3 Months |
| Number of Real Casino Games, Lifetime* | Number of real casino games, lifetime | Games | Lifetime |
| Number of Real Casino Winning Games, Lifetime* | Number of real money casino winning games, lifetime | Games | Lifetime |
| Number of Withdrawal Days, Lifetime* | Counting the number of withdrawal days from the Transactions table, lifetime | Transactions | Lifetime |
| Number of Withdrawals, Lifetime* | Counting the number of withdrawals from the Transactions table, lifetime | Transactions | Lifetime |
| Frequency | Number of days between first and last activity divided by number of activity days | Customers, Transactions | 1 Year, 3 Months |
| Number of Times Churned, Lifetime | The number of times the customer converted to churn LCS | Internal Tables | Lifetime |
| Number of Times Churned Categorical | Number of Times Churned Categorical Field | Internal Tables | Lifetime |
| Platform Preference | Platform preference | Internal Tables | 3 Months |
| Deposit Activity Categorical | Deposit activity categorical | Internal Tables | 2 Weeks |
| Deposit Activity, Lifetime | Deposit activity categorical | Internal Tables | Lifetime |
| Favorite Casino Game | The game that was played the most, lifetime | Internal Tables | Lifetime |
| Flex Frequency Categorical, Last Three Months | Flex frequency categorical, last three months | Internal Tables | Lifetime |
| Attribute Name | Description | Source Table | Snapshot Periods |
|---|---|---|---|
| Average Casino Bet Amount, Lifetime | Total casino bet amount divided by number of casino games | Transactions | Lifetime |
| Average Deposit Amount, Lifetime | Total deposit amount divided by number of deposits, lifetime | Transactions | Lifetime, 1 Month, 3 Months |
| Average Monthly Deposit Amount, Lifetime | Total deposit amount divided by number of deposits in a month | Transactions | Lifetime |
| Bonus Deposit Ratio, Lifetime | Total bonus granted divided by the total deposit amount, lifetime | Internal Tables | Lifetime, 1 Month, 3 Months |
| Cashout Ratio, Lifetime | Total withdrawal amount divided by the total deposit amount, lifetime | Internal Tables | Lifetime, 1 Month, 3 Months |
| Bonus Ratio, Lifetime | Casino bonus bet amount divided by total casino bet amount, lifetime | Internal Tables | Lifetime, 3 Months |
| Win Ratio, Lifetime | Casino win amount divided by casino bet amount, lifetime | Internal Tables | Lifetime, 3 Months |
| Net Cash, Lifetime* | Deposit amount - Withdrawal amount, lifetime | Internal Tables | Lifetime, 2 Weeks |
| Total Bonus Casino Bet Amount, Lifetime* | Total bonus casino bet amount, lifetime | Games | Lifetime |
| Total Bonus Casino Win Amount, Lifetime* | Total bonus money casino win amount, lifetime | Games | Lifetime |
| Total Bonus Granted Amount, Lifetime* | Summing the Transaction Amount for bonuses granted from the Transactions table, lifetime | Transactions | Lifetime |
| Total Casino Bet Amount, Lifetime* | Total casino bet amount (real + bonus), lifetime | Games | Lifetime, 2 Weeks, 3 Months |
| Total Casino Mobile Bet Amount, Lifetime* | Total casino mobile bet amount (real + bonus), lifetime | Transactions, Games | Lifetime |
| Total Casino Net Gaming Revenue, Lifetime* | Total casino net gaming revenue, lifetime | Games | Lifetime, 2 Weeks, 3 Months |
| Total Casino Web Bet Amount, Lifetime* | Total casino web bet amount (real + bonus), lifetime | Transactions, Games | Lifetime |
| Total Casino Win Amount, Lifetime* | Total casino win amount (real + bonus), lifetime | Games | Lifetime, 2 Weeks, 3 Months |
| Total Deposit Amount, Lifetime* | Summing the Transaction Amount for deposits from the Transactions table, lifetime | Transactions | Lifetime, 2 Weeks, 3 Months |
| Total Real Casino Bet Amount, Lifetime* | Total real casino bet amount, lifetime | Games | Lifetime, 2 Weeks, 3 Months |
| Total Real Casino Win Amount, Lifetime* | Total real money casino win amount, lifetime | Games | Lifetime |
| Total Withdrawal Amount, Lifetime* | Summing the Transaction Amount for withdrawals from the Transactions table, lifetime | Transactions | Lifetime, 2 Weeks, 3 Months |
| Deposit Amount Monthly Change, Lifetime | The differences between this month's deposits and previous month's | Internal Tables | Lifetime |
| Attribute Name | Description | Source Table | Snapshot Periods |
|---|---|---|---|
| Flex Time Since Last Activity Active | Flex time since last activity active | Internal Tables | Lifetime |
| Flex Time Since Last Activity Churn | Flex time since last activity churn | Internal Tables | Lifetime |
| Flex Time Since Registration | Flex time since registration | Internal Tables | Lifetime |
| Days Since First Activity | Days since first activity (activity= deposit, bet) | Games | Lifetime |
| Days Since First Deposit | Days since first deposit | Transactions | Lifetime |
| Days Since Last Activity | Days since last activity (activity= deposit, bet) | Games | Lifetime |
| Days Since Last Casino Game | Days since last game played | Internal Tables | Lifetime |
| Days Since Last Deposit | Days since last deposit | Transactions | Lifetime |
| Days Since Last Login | Days since last login date | Customers | Lifetime |
| Days Since Last Reactivation | For reactivated LCS- the number of days passed since moving to Reactivated LCS based on the previous profile | Internal Tables | Lifetime |
| Days Since Last Real Casino Game | Days since last real casino game | Internal Tables | Lifetime |
| Days Since Last Withdrawal | Days since last withdrawal | Transactions | Lifetime |
| First Casino Game Date | First casino game date | Games | Lifetime |
| First Deposit Amount, Lifetime | The amount deposited in the first deposit, lifetime | Transactions | Lifetime |
| First Deposit Date | First date of deposit from the Transactions table | Customers | Lifetime |
| Flex Time Since First Deposit | Flex time since first deposit | Transactions, Games | Lifetime |
| Flex Time Since Last Activity | Flex time since last activity | Transactions, Games | Lifetime |
| Last Activity Date | Last activity date (activity= deposit or bet) | Games | Lifetime |
| Last Casino Game Date | Last casino game date | Games | Lifetime |
| Last Deposit Amount, Lifetime | The amount deposited in the last deposit, lifetime | Transactions | Lifetime |
| Last Deposit Date | Last date of deposit from the Transactions table | Transactions | Lifetime |
| Last Login Date | The Last Login Date field from CUSTOMERS table | Customers | Lifetime |
| Last Real Casino Game Date | Last real casino game date | Transactions, Games | Lifetime |
| Last Withdrawal Date | Last date of withdrawal from the Transactions table | Transactions | Lifetime |
| Days Since Lifecycle Stage Change | The number of days passed since the last LCS change | Internal Tables | Lifetime |
| Days Since Registration | Days since registration | Customers | Lifetime |
| Months Since Registration | Months since registration | Internal Tables | Lifetime |
Note: Attributes marked with * are part of the Activity History feature.
Lifecycle Stage (LCS) Attributes
Lifecycle Stage attributes track the progression of players through different phases of their relationship with the casino, enabling tailored retention and engagement strategies. For example:
- The casino uses the CHURN_FACTOR attribute to identify players at high risk of churning and offers personalized bonuses or free spins to re-engage them before they become inactive.
| Attribute Name | Description | Source Table |
|---|---|---|
| Number of Times Churned, Lifetime | The number of times the customer converted to churn LCS | Internal Tables |
| Number of Times Churned Categorical | Number of Times Churned Categorical Field | Internal Tables |
| Reactivation Action | Reactivation action | Internal Tables |
| Churn Factor | Churn Factor, Lifetime | Internal Tables |
| Days In Churn | For churn LCS- the number of days in churn LCS | Internal Tables |
| Days In Reactivated | For reactivated LCS- the amount of time being in Reactivated LCS based on the previous profile | Internal Tables |
| Days Since Lifecycle Stage Change | The number of days passed since the last LCS change | Internal Tables |
| Days Since Registration | Days since registration | Customers |
| Deposit Amount Since Reactivated | The total deposits amount since the reactivation | Internal Tables |
| Deposit Days Since Reactivated | The number of days with deposit since the reactivation | Internal Tables |
| Deposit Percentile By Lifecycle Stage | Deposit percentile by lifecycle stage | Internal Tables |
| Deposit Percentile, Lifetime | Deposit percentile by lifecycle stage | Internal Tables |
| Deposits Since Reactivated | The number of deposits were made since the reactivation | Internal Tables |
| Dormant Type | Dormant type | Internal Tables |
| Frequency | Number of days between first and last activity divided by number of activity days | Customers, Transactions |
| Flex Bet Percentile By Lifecycle Stage | Flex bet percentile by lifecycle stage | Internal Tables |
| Flex Deposit Activity Reactivated, Last Two Weeks | Flex deposit activity reactivated, last two weeks | Internal Tables |
| Flex Time Since Last Activity Active | Flex time since last activity active | Internal Tables |
| Flex Time Since Last Activity Churn | Flex time since last activity churn | Internal Tables |
| Flex Time Since Registration | Flex time since registration | Internal Tables |
| Lifecycle Stage Before Churn | The last LCS before converting to churn | Internal Tables |
| Lifecycle Stage | Lifecycle stage | Internal Tables |
| Months Since Registration | Months since registration | Internal Tables |
| Previous Lifecycle Stage | The previous Lifecycle stage | Internal Tables |
Predictive Model Attributes
Predictive model attributes forecast player behaviors, helping you prioritize retention and conversion efforts for maximum impact. For example:
- The casino uses the CHURN_PROBABILITY_SCORE attribute to prioritize high-risk Active Players for retention campaigns, like personalized loyalty rewards, to prevent churn.
| Attribute Name | Description | Source Table |
|---|---|---|
| Churn Probability Score | Probability that the customer will churn within the next 2 periods | Internal Tables |
| Rank in Churn Probability | Rank among all live customers by churn probability (scale 1-100) | Internal Tables |
| Rank in LCS - Churn Probability | Rank among same lifecycle stage customers by churn probability | Internal Tables |
| Conversion Probability Score | Probability that the customer will convert within the next 2 periods | Internal Tables |
| Rank in Conversion Probability | Rank among all non-converted customers by conversion probability (scale 1-100) | Internal Tables |
| Is Top Spender? | Indicates if the customer is currently a top spender | Internal Tables |
| Becoming Top Spender Score | Probability that the customer will become a top spender within the next 6 periods | Internal Tables |
| Random Customer Percentage | Random Customer Percentage | Internal Tables |
| Reactivation Probability Score | Probability that the customer will be reactivated within the next 2 periods | Internal Tables |
| Rank in Reactivation Probability | Rank among churned customers by reactivation probability (scale 1-100) | Internal Tables |
| Rank in Becoming Top Spender | Rank among all customers by becoming top spender score (scale 1-100) | Internal Tables |
| Rank by LCS Becoming Top Spender | Rank among same lifecycle stage by becoming top spender score (scale 1-100) | Internal Tables |
For more information regarding predictive metrics available within the Optimove instance, see the following articles:
Product Attributes – Game History
Product attributes detail players’ gaming preferences, allowing for tailored promotions based on their favorite games. For example:
- The casino uses the GAME_CATEGORY attribute to identify players who prefer slots and send them promotions for new slot games, increasing playtime.
| Attribute Name | Description | Source Table |
|---|---|---|
| Game Category | Game_Category from GAME_TYPES_AND_CATEGORIES table | Product History |
| Game Name | Game_Name from GAME_TYPES_AND_CATEGORIES table | Product History |
Out-of-the-box Campaign KPIs
Out-of-the-box (OOTB) Campaign KPIs measure the success of your casino’s marketing campaigns by comparing the performance of targeted Player Groups, such as Active Players or New Players, against a control group. These metrics, drawn from the Calculated/Transactional Attributes, help you evaluate how campaigns drive engagement, deposits, and revenue, enabling data-driven optimization.
- Number of Activity Days: Counts days with player activity (e.g., deposits or bets), showing campaign impact on engagement.
- Number of Deposits: Tracks deposit frequency, indicating campaign success in encouraging financial commitment.
- Total Real Casino Bet Amount: Measures real-money bets placed, reflecting campaign influence on betting behavior.
- Total Casino Net Gaming Revenue: Calculates net revenue from casino games, highlighting campaign profitability.
- Total Deposit Amount: Sums all deposits made by players, reflecting campaign effectiveness in driving financial activity.
Understanding Your Casino Players: Grouping and Predicting Behavior (Segmentation Model)
To help you connect with your casino players in the best way, we organize them into groups based on their actions—like how long since they last played on your site or app, how much they bet, or how often they deposit money. This process is called Segmentation. We also use these groups to predict what players might do next, like whether they’ll keep playing or take a break. Let’s break it down into two simple ideas: Player Groups and Behavior Predictions.
Player Groups: Organizing Players by Their Journey
Imagine you’re running a virtual gaming club. You’d want to group your members based on things like whether they've ever deposited money, how actively they engage with your games, or how recently they last played. We do the same with your casino players, organizing them into groups based on where they are in their journey with your casino. We call these stages Lifecycle Stages (LCS), and we look at different details for each stage to understand them better.
Predicting Behaviors
Using LCS, segmentation layers, and other demographical and behavioral attributes Optimove is able to create predictive metrics such as Future Value(FV), Risk of Churn(ROC), Conversion Rate, Reactivation Rate, and Top Spenders(TS) to enhance effective marketing strategies.
Here’s how we group players at each stage of their casino journey:
1. Non-Depositors: Players Who Signed Up but Haven’t Deposited
These players have signed up for your casino but haven’t added money to their account yet. We group them by how long it’s been since they joined.
| Segmentation Layer | Details |
|---|---|
| Time Since Registration | 1 Day, Up to 1 Week, Up to 1 Month, 1 to 3 Months, More than 3 Months |
Example: A player who registered within the past week but hasn’t yet made a deposit could receive a “Get Started” email offering a bonus—such as 10 free spins—to encourage their first deposit and prompt them to start playing on your app as soon as possible.
2. New Players: Just Started Depositing and Playing
These are players who recently added money to their account and started playing on your casino. We group them by how much they bet, how many deposits they’ve made, how long since their first deposit, and their last activity.
| Segmentation Layer | Details |
|---|---|
| Bet Percentile | Top 10 Percent Bet Amount, 10 to 50 Percent Bet Amount, Bottom 50 Percent Bet Amount |
| Deposit Activity | 3 or More Deposits, 2 Deposits, 1 Deposit |
| Time Since First Deposit | 1 Day, 2 to 7 Days, More than 7 Days |
| Time Since Last Activity | 1 Day, 2 to 7 Days, More than 7 Days |
Example: A new player with a high risk of churn—who made their first deposit over 7 days ago and has not deposited since—may receive a push notification offering a “Great Start” bonus, such as a 50% deposit match, to encourage continued engagement on your site.
3. Active Players: Regular Players
These are players who regularly log in and play on your casino. We group them by their recent activity, how much they’ve deposited and bet in the last 3 months, and how often they play.
| Segmentation Layer | Details |
|---|---|
| Time Since Last Activity | 1 Day, 2 to 7 Days, 8 to 14 Days, More than 14 Days |
| Deposit Percentile Last 3 Months | Top 10 Percent Total Deposit Amount, 10 to 50 Percent Total Deposit Amount, Bottom 50 Percent Total Deposit Amount |
| Frequency Categorical Last 3 Months | 1 to 2 Days, 2 to 7 Days, Over 7 Days |
| Bet Percentile Last 3 Months | Top 10 Percent Bet Amount, 10 to 50 Percent Bet Amount, Bottom 50 Percent Bet Amount |
Example: An active player who logs in every 1 to 2 days and is in the top 10% for deposits might get an email with a loyalty reward, like 20 free spins on a new slot game, to keep them engaged.
4. Churned Players: Stopped Playing
These are players who haven’t logged in or played on your casino in a while and might have left. We group them by how long since their last activity, their past deposits and bets, and what stage they were in before they stopped.
| Segmentation Layer | Details |
|---|---|
| Time Since Last Activity | Up to 1 Month, 1 to 3 Months, 3 to 6 Months, More than 6 Months |
| Deposit Percentile | Top 10 Percent Total Deposit Amount, 10 to 50 Percent Total Deposit Amount, Bottom 50 Percent Total Deposit Amount |
| Bet Percentile | Top 10 Percent Bet Amount, 10 to 50 Percent Bet Amount, Bottom 50 Percent Bet Amount |
| Previous Lifecycle Stage | New, Active, Reactivated |
Example: A churned player in the top tier of both betting and deposit activity—who hasn’t played in the last two months—may receive a “We Miss You” email offering a 100% deposit match bonus to incentivize re-engagement.
5. Reactivated Players: Came Back After a Break
These are players who stopped playing for a while but recently logged in and started playing again on your casino. We group them by their recent activity, deposits, bets, and how often they’ve deposited since returning.
| Segmentation Layer | Details |
|---|---|
| Time Since Last Activity | 1 Day, 2 to 7 Days, More than 7 Days |
| Deposit Percentile By LCS | Top 10 Percent Total Deposit Amount, 10 to 50 Percent Total Deposit Amount, Bottom 50 Percent Total Deposit Amount |
| Bet Percentile Last 2 Weeks | Top 10 Percent Bet Amount, 10 to 50 Percent Bet Amount, Bottom 50 Percent Bet Amount |
| Deposit Activity (Last 2 Weeks) | 2 or More Deposits, 1 Deposit, No Recent Deposits |
Example: A reactivated player who logged in 3 days ago and made 2 deposits might get a push notification with a “Welcome Back” offer, like 15 free spins, to keep them playing on your app.
6. Dormant Players: Inactive for a Long Time
These are players who haven’t logged in or played on your casino in a very long time, whether they’ve deposited before or just signed up. We group them by their type.
| Segmentation Layer | Details |
|---|---|
| Dormant Type | Players Who Deposited Before, Players Who Never Deposited |
Example: A dormant player who never deposited might get an email with a small free credit, like $5, to try a slot game on your site.
Please note that the out-of-the-box customer model excludes players who haven’t been active or registered for over 3 years.
Why This Matters for the Casino Vertical
By grouping your players and predicting their behavior, you can create personalized experiences that make them feel valued. Whether it’s offering a bonus to a new player, rewarding a loyal customer with free spins, or winning back someone who hasn’t logged in for a while, these tools help you connect with your players in the right way at the right time—all through your casino platform.
Want to learn more? Check out this guide: The Optimove Model.