◾Missions Dashboard

📘 Overview

The Missions Dashboard provides statistical, operational and analytical overview for your Missions 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 Missions Gamification feature, and make data-driven decisions.

🔍 How to Access the Missions Dashboard

1. Navigate to Reports → Gamification → "Missions"

2. Available Filters:

   1. Period

   2. Mission Name / ID

   3. Users' Gamification LVL

   4. Brand

   5. User ID

The Report consists of 5 tabs:

1. Summary - presents the management summary of the product.

2. Alerts - focuses on the points that might require an immediate attention.

3. General Stats - focuses on the overall stats and trends of the Missions' related KPIs.

4. Operational Data - provides the operational insights on the optimizations of the Missions product in your Business.

5. Analytical Data - measures the effectiveness of the Missions usage.

Summary tab:

A set of KPIs showing the total Missions performance during the chosen period.

Key Funnel Steps Included:

• Active Users (Bets or Deposits) - users that had a Bet or a Deposit (unrelated to the missions) during the filtered period.

• Users that started the missions - count of unique users that started the missions during the filtered period.

• Missions with Opt-In users - count of Missions with an explicit opt-in that was made by the user.

• Users with Missions in progress - count of unique users that are engaged in any mission during the filtered period.

• Missions Started - number of missions that started during the filtered period.

• Missions in progress - number of missions that started during the filtered period, but have not been completed yet.

• Users with Completed missions - number of unique users that started the missions during the filtered period and completed them.

• Completed Missions - number of missions that started during the filtered period and were completed.

• Completed Missions with Rewards - number of missions with a reward upon completion, that started during the filtered period and were completed.

• Claimed Rewards Count - number of cases with the rewards, claimed for the mission completion.

• Unclaimed Rewards Count - number of cases where reward was available upon completion of the mission, but it wasn't claimed.

Value to You:

• Conversion Efficiency: Measure the "hook rate" by comparing general Active Users to those who actually Start Missions.

• Engagement Quality: Distinguish between passive participation and high-intent commitment through Opt-In and In-Progress tracking.

• Friction Analysis: Identify "drop-off" points where missions are started but not Completed, highlighting if tasks are too difficult.

• Reward Optimization: Analyze Claimed vs. Unclaimed Rewards to determine if incentives are attractive enough to drive final action.

Alerts tab:

Section 1: Longest Running currently Active Missions

This section shows the list of longest running missions, allowing you to monitor the activity and pause the "forgotten" ones.

Key Metrics Included:

• Mission details - Mission ID, Mission Name, Mission Status, Mission Type

• Days of Mission being Active - number of days between the beginning of the Mission and today, while it's still Active.

• User in progress count - count of unique users that are still active withing the mission.

Value to You:

• Identify Stagnation: Spotlights "forgotten" missions that have been active for an extended period but fail to move users to completion.

• Cost & UX Control: Enables quick identification of missions to pause, reducing UI clutter and potential bonus liability from stale campaigns.

• Difficulty Audit: High "Days Active" combined with a high "In-Progress" count signals that mission requirements may be too difficult to achieve.

Section 2: Top 50 users with highest number of active Missions

This section introduces the list of Users that are active on most of the Missions, splitting the missions by their Type.

Key Metrics Included:

• User details - User ID, User RFM Segment, User Value Score

• Number of Active Missions - count of Missions, the user is currently active on, split by the Mission Type.

Value to You:

• Identify Power Users: Spotlights the most engaged enthusiasts who simultaneously manage multiple tasks across various mission types.

• Monitor Bonus Exposure: Detects users "stacking" numerous missions, helping to mitigate the risk of excessive bonus liability or exploitation.

Section 3: Missions with Unclaimed Rewards

This section lists the Reward-offering Missions with the split into claimed and non-claimed rewards.

Key Metrics Included:

• Mission details - Mission ID, Mission Name, Mission Status, Mission Type

• Completed Missions Count - number of missions that were completed by the users.

• Claimed Rewards Count - number of reward-offering missions, for which the rewards were claimed.

• Unclaimed Rewards Count - number of reward-offering missions, for which the rewards were not claimed.

Value to You:

• Evaluate Incentive Relevance: Identify if offered rewards are truly motivating by measuring the gap between mission completion and actual reward claims.

• Optimize User Experience: Detect technical friction or poor visibility in the "claim" process if Unclaimed Rewards Count is disproportionately high.

• Audit Mission ROI: Compare Completed Missions Count against Claimed Rewards to determine which mission types successfully drive the final desired action.

Section 4: Missions with low Completion Rate

This section lists Missions with high number of participants as well the the completion rates per mission. Filtered to the Missions with Completion Rate below 80%.

Key Metrics Included:

• Mission details - Mission ID, Mission Name, Mission Type

• Mission Started Count - number of times, the mission has been started.

• Mission Completed Count - number of missions that were completed by the users.

• Completion Rate - share of Mission Completed Count out of Mission Started Count.

• Mission in Progress Count - number of Missions that started but not completed.

Value to You:

• Identify Completion Barriers: Spotlights specific missions where players drop off, signalling that the requirements may be too difficult or the tasks unappealing.

• Improve Marketing ROI: Ensures that the effort spent on Mission Started Count actually results in the desired outcome of a Completed Mission.

General Stats tab:

Section 1: Total Actives VS Missions Participants

This section introduces the users' daily involvement in Missions, as well as the comparison between the Mission Active Users to the General Active population by the RFM Segments and Value Score Segments distribution .

Key Visualization:

The chart shows the daily trend of the total Active Users (with either bets or deposits), the Daily Trends of users that had Mission related activity, and the share of the Mission Actives out of Total Actives.

Below this chart you can find the split of the two populations by RFM Segmentation and Value Score Segmentation, allowing you to compare the representations of the different Segments in the Missions participation.

Value to You:

• Benchmark Gamification Reach: Measure the daily "hook rate" by comparing Mission Actives against the Total Active population to quantify how much of your daily traffic interacts with missions.

• Identify Segment Preferences: Compare RFM Segmentation and Value Score distribution to determine if high-value players (e.g., Champions) are under-represented in mission activity.

• Monitor Engagement Trends: Track daily participation fluctuations to evaluate the impact of new mission launches on overall player activity.

• Optimize Segment Targeting: Analyze the representation of different segments (e.g., Potential Loyalists vs. At Risk) to tailor mission difficulty or rewards specifically for the groups that participate most.

Section 2: Additional Missions Stats

This section introduces distribution of the Missions by different Mission characteristics.

Key Characteristics:

• Missions split by Mission Status

• Missions split by Duration of the mission

• Missions split by Mission Type

• Mission split by Opt-in Types

Value to You:

• Analyze Mission Health: Monitor the distribution of Mission Status to ensure the portfolio has an optimal balance of active, paused, and scheduled content.

• Optimize Campaign Length: Evaluate the Duration of the mission to determine if players prefer short-term "burst" challenges or long-term engagement goals.

• Evaluate Engagement Periodicity: Tracks Mission Type (e.g., Recurring vs. Generally Available) to balance consistent daily habits with one-off promotional events.

• Measure Participation Friction: Assess Opt-in Types to understand how different entry requirements (e.g., automatic vs. manual) impact overall user involvement.

Section 3: Daily Missions Completion Rate

This chart shows the number of missions over time based on their start date.

Key Concept:

The KPIs - Missions Started and the Completion Rate

If the mission is started on Jan 1, and completed on Jan 5, the completion will be counted on the day of start (Jan 1)

Value to You:

Monitor Conversion Trends: Identify specific days or periods where mission starts failed to lead to completions, highlighting potential technical issues or unappealing mission structures on those dates.

Operational Data tab

Section 1: Missions Heatmap

The chart shows the average number of Missions participants' activity by weekday and hour, allowing you to spot the preferred times of the Mission usage.

Key Visualization:

• Average Number of Mission participants during the filtered period per weekday and hour.

Value to You:

• Identify Peak Engagement Windows: Pinpoint the exact days and hours when players are most active in missions, allowing for the precise scheduling of limited-time or "flash" missions.

• Maximize Promotional Impact: Ensure that mission-related announcements or push notifications are sent during high-traffic periods to capture maximum user attention.

Section 2: Top 10 shortest and Top 10 longest missions.

The tables show the list of the missions that took slowest or fastest time to complete in average.

Key Metrics Included:

• Mission details - Mission ID, Mission Name

• Started - number of Missions that started during the filtered period.

• Unique Users - count of unique users that started the mission during the filtered period.

• Duration, avg (day:hour:min:sec) - the average length of the Mission

Value to You:

• Identify Content Sweet Spots: Highlight the "Fastest" missions to understand which quick-win tasks drive immediate gratification and high turnover.

• Detect Progression Blocks: Pinpoint "Slowest" missions where the average duration may be excessive, signalling potential player fatigue or overly demanding requirements.

Section 3: Base Metrics aggregations.

This section shows a set of Mission related KPIs aggregated per: Brand, Mission Type, Single Mission.

Value to You:

• Brand-Level Efficiency: Evaluate how missions perform across different brands to identify which environments have the highest KPIs.

• Optimize Mission Type Strategy: Compare the effectiveness of Recurring, Generally Available, and Recurring upon completion missions to determine the best structure for long-term retention.

• Perform Individual Mission Audits: Drill down into the performance of Single Missions to pinpoint high-performing content that should be replicated or low-performing tasks that require adjustment.

Analytical Data tab

AVG Daily Bet Amount & AVG Daily Bet Count

This section compares between the days with Mission Activity and the days without the Mission Activity.

Key Concept:

The analysis considers the population of users that had at least 3 days with the Mission activity and at least 3 days without the Mission activity lifetime. For these users it measures the Average Daily Bet Amount and Average Daily Bet Count during each period and presents the comparison between the periods on a user level.

Value to You:

• Quantify Gamification Lift: Directly measures the "Mission Effect" by comparing the same user's betting volume and frequency on days they engage with missions versus days they do not.

• Validate High-Value Activity: Determines if mission participation leads to a higher Average Daily Bet Amount, justifying the cost of rewards through increased turnover.