◾Tournaments Dashboard
📘 Overview
The Tournaments Dashboard provides statistical, operational and analytical overview for your Tournament related KPIs. This report is divided into five tabs:
Summary
Alerts
General Stats
Operational Data
Analytical Data
It’s designed to help you in monitoring, managing and optimizing your business usage of the Tournaments Gamification feature, and make data-driven decisions.
🔍 How to Access the Tournaments Dashboard
Navigate to Reports → Gamification → "Tournaments"
Select:
Period
Tournament Name / ID
Tournament Registration Type
Tournament Instance ID
Value Score
The Report consists of 5 tabs:
Summary - presents the management summary of the product, including its' Funnel and the ROI.
Alerts - focuses on the points that might require an immediate attention.
General Stats - focuses on the overall stats and trends of the Tournaments related KPIs.
Operational Data - provides the operational insights on the optimizations of the Tournaments product in your Business.
Analytical Data - measures the effectiveness of the Tournaments usage from different perspectives.
Summary tab:
Section 1: top ribbon
A set of KPIs showing the total Tournaments Funnel during the chosen period.
Key Funnel Steps Included:
Total Active Users (Bets or Deposits) - users that had a Bet or a Deposit (unrelated to the tournament) during the filtered period.
Number of Tournaments - total count of the tournaments that started during the filtered period.
Users Registered to Tournaments - users that have registered to the tournament (potential participation).
Users Participated in Tournaments (by fulfilling the criteria) - unique count of users that triggered a Tournament related event.
Section 2: bottom ribbon
This section shows the contribution and the value of the Tournaments Product.
Key Metrics Included:
Bet Amount per Tournament - refers to the bets, contributing to the Tournament advancement, while considering the baseline activity (the bets that the user would have had if it wasn't for the tournament activity).
GGR per Tournament - the Bet Amount, as calculated based on the above logic, split per product and multiplied by the actual margins per product.
Prizes Count per Tournament - the count of the prizes that were granted for the tournaments that started during the filtered period and finished.
Prize Cost per Tournament - the monetary value of the Tournaments' prizes. subject to populating the Bonus Cost per Prize in the backoffice.
Tournaments ROI - the return on the investment for the tournaments product during the filtered period (GGR divided by Prize Cost)
Alerts tab:
Section 1: Tournaments with significant share (at least 20%) of users that registered and weren't active
This section shows how the tournaments instances with significant inactivity that need your attention.
Key Metrics Included:
Tournament details - Instance ID, Tournament Start Date, Tournament Date, Tournament ID, Registration Type, Days since the Beginning
Potential Active Users - number of users that registered to the tournament and are a potential for participation.
Users with 0-1 Tournament Events - users that had an insufficient Tournament activity (up to 1 event, contributing to the Tournament progress).
Share of "Inactives" out of Potential - Users with insufficient activity divided by the potentially active users.
Section 2: Users Joining the currently active Tournament throughout the Tournament period.
This section introduces the tournaments' instances progress for the Active instances.
Key Concept:
The Instances are split into 10 equal periods between the instance start date and the instance end date. The number of users that are joining the period instance throughout each of these periods are shown in the table.
General Stats tab:
Section 1: Number of Tournament Instances by Status/Registration Type/Prize Type
This section introduces pie charts showing the proportion of the Tournament Instances by different criteria.
Key Visualization:
Pie charts, showing the total count the Tournaments Instances that started during the filtered period, split by the Instance Status, by Registration Type and by Prize Type (for the finished ones)
Section 2: Total Actives VS Tournament Participants Value Score split (%)
This section introduces the Tournaments Activity Distribution by Value Score, compared to the Total Activity Distribution by Value Score.
Key Concept:
The idea is to compare the Tournament Participation distribution by Value Score to the baseline, which is the Total Activity distribution by Value Score. For example, if the Top Value users share from the Tournament Participants is 10%, while their share of the Total Activity is 5% - it means that this segment is over represented in the Tournaments activity.
Section 3: Winners/Prizes data
This section introduces the data on the winning stats for the Tournaments.
Key Visualization:
Winners split per Value Score - shows the distribution of the tournaments winning users by their Value Score.
Prizes Nominal Value - split by Type - shows the count of the prizes granted to the tournament winners, split into the types of the prizes
Prizes Monetary Cost - split by Type - shows the cost of the prizes granted to the tournament winners, split into the types of the prizes (only in case the costs of the prizes are updated in the backoffice)
Section 4: Daily Split of Unique Active Users
This section introduces the daily trend for the Users split by Activity Type.
Key Visualization:
The daily number of unique Users is split into two population - user that had the tournament related events during the day and the users that had either bet or deposit during the day, not related to the tournament activity.
Section 5: Tournament Steps (Funnel) & Minutes between Registration and first event
This section introduces the tournament Funnel and the list of the relevant Instances with the average time between the registration and the beginning of activity.
Key Visualizations:
Tournament Steps (Funnel) - shows the number of unique users, participating in each step of the Tournament Funnel. Due to the different mechanics of the Tournaments, this chart best used while applying either the Registration Type filter or the Tournament Name filter. This will allow you to monitor the most relevant steps of the Tournament Funnel.
Minutes between registration and first event - shows the average period (minutes) between the Registration to the Tournament and the beginning of the Tournament.
Operational Data tab
Section 1: Tournament Hourly Popularity
The Chart shows the hourly distribution of the tournaments count and the average number of participants per tournament (popularity).
Key Visualization:
The line presents the number of Active Tournaments.
The column presents the number of Participants per tournament.
Section 2: Tournaments Progress
This table categorizes tournament participants based on their level of engagement, measured by the number of events they've taken part in.
Key Visualization:
The columns group users into tiers ranging from least active (0-1 events) to most active (500+ events). The "0-1 events" category specifically identifies users who either never participated after registering or only completed a single tournament event without further progression.
Event = User's activity, triggering the Tournament participation condition.
Section 3: Tournament Progress.
This section focuses on the Tournaments' participants onboarding and their progress within the Tournament.
Key Concept and Metrics Included:
Each Tournament Period is split into 10 equal sub-periods in order to measure the Tournament Activity and Cohort. For Example - if the Tournament lasts 20 days, each sub-period is equal to 2 days.
The top chart shows the number of unique users that joined the tournament during each of the 10 sub-periods.
The split between the 3 bottom charts compares the progress flow of the users that joined during the 1st sub-period of the tournament to the flow of the users that joined on the 2nd sub-period of the tournament to the flow of the users that joined on the 3rd sub-period of the tournament.
Section 4: Tournaments Detailed Gaming Data
The Table presents the activity, generated due to the participation in the Tournament.
Key Metrics Included:
The Tournaments are ordered by Number of Participant, grouped by status - starting with the Tournaments that are currently in progress.
Bets & Wins amounts are present only when they contribute to the Tournament Instance progress. Otherwise the values will be 0.
Section 5: Tournament Detailed Prizes Data
We’ve introduced a table, presenting the detailed view of the winning related KPIs per Tournament Instance.
Key Metrics Included:
Tournament details - Instance ID, Tournament Name Tournament ID
Prize Type
Winners Count - how many users received a prize for the instance.
Prize Nominal Value - the nominal value of the Instance Prize per Instance (for example, 20 prizes of 1 = 20 and also 1 prize of 20 = 20)
Prize Monetary Cost - the cost of the prize per Instance (in case it's defined and updated in the backoffice)
Prize Nominal Value per Winner = Prize Nominal Value / Winners Count
Prize Monetary Cost per Winner = Prize Monetary Cost / Winners Count
Section 6: Top tournaments Winners
We’ve introduced a table, showing the top tournaments winners with their nominal win amount and some additional data, reflecting the user's status.
Key Metrics Included:
User related Data - User ID, First Deposit Date, Last Deposit Date, Value Score, Favorite Product, Age
Tournaments Count - how many tournaments the User have won.
Tournament Won Amount - the nominal value of the Prize.
Analytical Data tab
Section 1: Bet Amount Tournament Days VS. Non Tournament Days
This section illustrates which part of the population had a better activity due to the participation in the tournament, and by how much.
Key Concept:
The analysis considers the population of users that had both the days with the Tournament activity and without the Tournament activity during the last 90 days. For these users it measures the Average Bet Amount during each period and presents the comparison between the periods on a user level, both on the pie chart and as a summary.
Section 2: Best Performing Tournaments
We’ve introduced a scatter chart, illustrating which Tournaments performed best for boosting the business Betting and Wallet Activity.
Key Concept:
The analysis calculates the quality of the Tournaments participants in terms of Gaming Score (considering the Betting amounts and number of bets before VS. after the Tournament) and the Wallet Score (considering the Depositing activity 24 hours after the end of the Tournament) and presents the Tournaments scatter within the range. In addition we indicate which Instances performed the best in terms of Bet Boost or Deposit Boost during the filtered period.
Section 3: Daily KPIs trends per population
These charts show the daily trends of the average KPIs for the users that engaged in tournaments VS. users that didn't engaged in tournaments.
Key Metrics Included:
AVG Bet Amount - average Bet Amount per user per day
Actives - unique users that had a Turnover or a Deposit during the day.
AVG Casino GGR - average GGR created on Casino per user per day
PLS note that in case the tournaments are being offered only to a certain segment of the population, especially based on the users' value, the data could be biased.
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