โ—พCampaigns Dashboard

๐Ÿ“˜ Overview

The Campaigns Dashboard provides a detailed overview and analysis of your campaign usage, allowing you to track performance, costs, and player engagement. This dashboard is divided into eight tabs:

  • Summary

  • Alerts

  • General Stats

  • Communications

  • Operational Data

  • Analytical Data

  • Control VS Test

  • A/B Testing

๐Ÿ” How to Access the Campaigns Dashboard

  1. Navigate to Reports โ†’ Campaigns Dashboard

  2. Select all the relevant filters

  3. Explore the Dashboard for detailed insights.

Tab 1: Summary

Weโ€™ve introduced management view that summarizes the Campaigns performance. This section allows you to get a good overview of the feature performance and value.

Key Metrics Included:

  • Total Number of Campaigns - count of Campaigns that started during the filtered period.

  • Number of campaigns with Deposit Target - count of Campaigns that set user's Deposit as their Target. The Campaigns Targets are calculated based on the Activity, the user needs to perform in order to reach the Campaign Conversion.

  • Users converted from the Campaigns with Deposit Target - unique count of users that reached the Conversion step on the Campaigns with Deposit as their Target.

  • Total Deposit Amount for the users that converted from the Deposit Target Campaigns (based on the Attribution Value) - the Deposit Amount, directly associated with the user's activity on the given Campaign. This calculation is based on the Attribution Value model.

  • Total Bet Amount for the users that converted from the Deposit Target Campaigns (based on the Attribution Value) - the Bet Amount, associated with the user's activity on the given Campaign. This value is calculated by multiplying the user's Attribution Value by the user's personal Bet Amount-to-Deposit ratio during the last 30 days. This gives us an indicative value for how the user's deposit will be translated into the gaming activity, based on the user's profile.

  • Total Bet Amount for the users that converted from the Deposit Target Campaigns (based on the Attribution Value) - the GGR Amount, associated with the user's activity on the given Campaign. This value is calculated by multiplying the already known Bet Amount by the user's personal margin during the last 30 days. This gives us an indicative value for how the user's bet amount will be translated into the revenue, based on the user's profile.

  • Deposit Amount per Converted User (based on the Attribution Value) - the already calculated Total Deposit Amount divided by the number of unique users, converted within the Campaign.

  • Bet Amount per Converted User (based on the Attribution Value) - the already calculated Total Bet Amount divided by the number of unique users, converted within the Campaign.

  • GGR Amount per Converted User (based on the Attribution Value) - the already calculated GGR Amount divided by the number of unique users, converted within the Campaign. This can be used as an indication on the revenue, directly associated with the users Campaign activity.

Tab 2: Alerts

This tab allows you to monitor the activity that needs your attention and take timely actions.

Section 1: Top 50 Users with most Campaigns communications

This table presents a list of top 50 communication receivers for the filtered period, allowing you to also monitor these users' communication funnel.

Key Metrics Included:

  • User ID - the unique user identifier.

  • Sent - number of communications that were sent to the user.

  • Sent-to-impression - the share of the sent communications that were viewed by the user.

  • Impressions - number of communications that were viewed by the user.

  • Impressions-to-Click - the share of the viewed communications that were clicked by the user.

  • Clicks - number of communications that were clicked by the user.

Value to You:

  • Prevent Churn: Identify users getting bombarded with messages to stop them from getting annoyed and unsubscribing.

  • Save Money: Stop wasting budget (SMS/Email costs) on users who view but never click.

  • Catch Abuse: Flag suspicious accounts (e.g., 100% Click Rate) that might be bots farming bonuses.

Section 2: Active Campaigns with low conversion

This table presents a list of the currently active Campaigns with at least 20 Users that had started the Campaign flow but their Conversion Rate is below 10%.

Key Metrics Included:

  • Campaign Name - the name of the Campaign.

  • Campaign ID - unique identifier of the Campaign.

  • Category - the category of the Campaign (Marketing/Operational).

  • Users that Started the Campaign - unique count of user that registered to the Campaign.

  • Converted Users - unique count of user that reached the Conversion step on the Campaign.

  • Conversion % - share of the Converted Users out of Users that started the Campaign.

Value to You: By isolating campaigns with significant volume (>20 users) but poor performance (<10%), it flags "leaky buckets"โ€”campaigns actively consuming audience attention without delivering results. This enables the team to rapidly identify and repair technical friction, weak messaging, or unappealing offers, thereby protecting ROI and preserving database responsiveness.

Section 3: Active Campaigns with Negative GGR

This table presents a list of currently active Campaigns with 20 or more Converted users and a negative indicative GGR. The GGR is calculated based on the logic, explained in the Summary Tab.

Key Metrics Included:

  • Campaign ID - unique identifier of the Campaign.

  • Campaign Name - the name of the Campaign.

  • Campaign Start Date - the date on which the Campaign has been published.

  • Converted Users - unique count of user that reached the Conversion step on the Campaign.

  • Campaign GGR - the average GGR per Converted User (based on the Attribution Value).

Value to You: This view operates as a Financial Risk Monitor, specifically designed to protect profit margins in real-time. By surfacing active campaigns where player winnings or incentive costs currently exceed the revenue generated, it allows the business to immediately identify and halt value-destructive activities. This ensures that marketing efforts remain commercially viable and prevents "runaway" promotions from inadvertently acting as financial liabilities rather than revenue drivers.

Tab 3: General Stats

Section 1: Campaign Participants split by Value Score

The chart introduces the distribution of the Campaign Participants by Value Score Segments.

Key Visualization:

Pie Chart, presenting the percentage share of each Value Score.

Value to You: This visualization functions as a Targeting Quality Audit, ensuring that campaign resources are being deployed to the correct audience segments. By revealing the composition of participants, it allows the business to instantly verify if a high-value offer is successfully reaching VIPs or if it is suffering from "down-market leakage"โ€”where premium incentives are wastefully consumed by low-value players. Conversely, it helps detect revenue cannibalization by flagging if organic high-spenders are utilizing offers intended strictly for reactivation or retention of lower-tier segments.

Section 2: Campaigns split per Campaign Target

This chart introduces a distribution of the Campaigns by their Targets. The Campaigns Targets are calculated based on the Activity, the user needs to perform in order to reach the Campaign Conversion.

Key Visualization:

Pie Chart, presenting the percentage share of each Campaign group. The "Other" category will include the campaigns with targets: Mission Completed, Personal Details Update or campaigns without defined target.

Value to You: This section enables you to instantly assess whether the marketing pressure represents a healthy ecosystem of monetization (e.g., Deposits), activity (e.g., Bets), and engagement (e.g., Logins), or if there is a strategic imbalanceโ€”such as an over-reliance on aggressive deposit requests.

Section 3: Campaigns Conversion Rate by Campaign Target

This chart introduces a number of Campaigns and the Conversion Rate, split by Campaigns' Targets.

Key Visualization:

Chart, presenting the number of Campaigns during the filtered period as a column and the average conversion rate as a dot, grouped by Campaigns based on the Campaign Target.

Value to You: Use this chart as an Efficiency Benchmark Tool, enabling the business to calibrate expectations and optimize resource allocation across different player behaviours. This allows you to spot strategic misalignments, such as investing disproportionate effort into high-friction/low-yield targets, or conversely, identifying under-utilized campaign types that offer high conversion potential but are currently neglected.

Section 4: Communications Sent - Daily Trend

This chart introduces a daily trend of the communications, sent to the users, split by communication channel.

Key Visualization:

Chart, presenting the number of Communications associated with the campaigns that started on each of the days during the filtered period.

Value to You: Use this chart for tracking the daily intensity of outbound marketing efforts. By analyzing the communication mix over time, it allows the business to detect operational bottlenecks (e.g., unexpected drops in email volume), identify risky "over-messaging" spikes that could lead to higher unsubscribe rates, and ensure that the channel strategy remains diversified rather than overly reliant on a single, potentially expensive medium like SMS.

Section 5: Daily Trend of Campaigns split by Campaign Target

This chart introduces a daily number of Campaigns, splitting them by the Campaign Targets.

Key Visualization:

Chart, presenting the number of Campaigns that started on each day during the filtered period, distributing the count per Target of the Campaign. The "Other" category will include the campaigns with targets: Mission Completed, Personal Details Update or campaigns without defined target.

Value to You: By continuously mapping campaign targets over time, it enables you to verify that high-impact activitiesโ€”such as "Deposit" pushesโ€”are correctly timed around key events (e.g., paydays or major sports fixtures), while simultaneously preventing the saturation of the player base with conflicting or repetitive calls-to-action on any single day.

Section 6: Attribution Value Trend (refers only to the Deposit Campaigns)

This chart introduces a daily number of users that were converted by the Campaigns as well as the average Attribution Value of those users.

Key Visualization:

Chart, presenting the daily number of Converted Users and their Average Attribution Value, considering only the Campaigns with the Target = Deposit.

Value to You: By correlating the daily number of depositors with their average value, it provides immediate insight into whether campaigns are driving meaningful revenue or merely generating low-value activity (such as minimum-deposit bonus hunting). This distinction is vital for refining strategy, ensuring that optimization efforts prioritize maximizing net value rather than just increasing the raw count of participants.

Tab 4: Communications.

This tab includes the daily trend of the communication funnel, split into communication channels.

Key Channels:

  • Email

  • Push

  • Inbox

  • Popup

  • SMS

  • Viber

  • Whatsapp

  • Telegram

Key Metrics:

  • Created - count of communications that were created to be sent to the users. This is the 1st step of the communication funnel.

  • Created-Sent - share of the communications that were sent to the users out of the communications that were created.

  • Sent-Impressions - share of the communications that were viewed by the users out of the communications that were sent to the users.

  • CTR - share of the communications that were clicked by the users out of the communications that were viewed by the users.

Key Visualizations:

Chart, presenting the daily number of Created Communication on the left side of the axis Y and the conversion rates of the communication funnel on the right side of axis Y.

Value to You:

This visualization serves as a Channel Health & Efficacy Monitor, providing a granular diagnostic of the entire delivery pipeline across all communication mediums.

  • Operational Reliability: By tracking the Created-to-Sent ratio, it instantly flags technical delivery failures.

  • Engagement Benchmarking: The Sent-to-Impressions and CTR trends allow for a direct performance comparison between channels, enabling the business to dynamically shift budget and volume toward the highest-performing, most cost-effective touchpoints.

Tab 5: Operational Data

Section 1: Communications Fails

This chart presents the daily trends of the failed communications ratios per communication channel.

The bottom table elaborates on the reasons for the failed communications per communication channel.

Key Metrics:

  • Created - count of communications that were created to be sent to the users. This is the 1st step of the communication funnel.

  • Failed Communications % - share of the failed communications out of the communications that were created.

Value to You:

By tracking failure trends and pinpointing specific error causes this view enables the technical team to rapidly diagnose integration outages before they impact revenue. Furthermore, it serves as a critical feedback loop for data hygiene, highlighting segments populated with invalid contact details that require purging to protect the sender's domain reputation and reduce wasted processing costs.

Section 2: Bots & Negative Clicks

Use this section to monitor the share of the daily Bot Clicks and the Negative Clicks out of the created communications.

Key Metrics:

  • Users that started the Campaign - count of unique users that registered to the Campaigns.

  • Bots Share - how many clicks are originated by bot (some mail/sms gateways may trigger clicks on the links) out of the total clicks.

  • Share of Negative Clicks - either clicks on unsubscribe in the mail/sms or clicks on "close" icon/button in the popups/inbox out of the total clicks.

Value to You:

Tracking "Negative Clicks" serves as an early warning system for database churn, alerting the team to aggressive or irrelevant content that is actively damaging brand reputation and eroding the reachability of the audience.

Tracking non-human activity ("Bot Clicks") protects the business from making strategic decisions based on inflated "vanity metrics," ensuring that performance analysis reflects real player behaviour.

Section 3: Funnel markers.

The table refers to the Markers, the business defined proactively as a part of the Campaign Flow.

In case this wasn't defined, the table will appear empty.

Key Metrics:

  • Campaign ID - unique identifier of the Campaign.

  • Campaign Name - the name of the Campaign.

  • Funnel Marker - the name of the Marker, used in the Campaign flow.

  • Started - unique number of users that started the Campaign

  • Unique Users - unique number of users that reached the Marker.

  • Times Reached - how many times the Unique Users reached the Marker.

Value to You:

Tracking custom checkpoints (Markers) allows the business to perform Micro-Funnel Analysisโ€”identifying exactly where users are dropping off within complex flows. Additionally, the comparison between "Unique Users" and "Times Reached" reveals Looping Behaviour, helping to distinguish between smooth linear progress and users who are stuck, confused, or repeatedly hitting technical friction points.

Tab 6: Analytical Data

Use this tab to cross reference the Conversion Rate and the Attribution Value for the Campaigns. The Chart only refers to the Campaigns that have more than 20 converted users and an Attribution Value.

Key Visualizations:

  • Each dot represents a Campaign, showing the ID when hovering over it.

  • The higher the dot is on the axis Y - the higher is it's Conversion Rate.

  • The more the dot is to the right on axis X - the higher is it's Attribution Value.

The Tables present the chart data in a less graphical manner with one table for the Top Attribution Value Campaigns and one table for the Top Converting Campaigns.

Value to You:

  • Identify "Stars": Pinpoint the "Sweet Spot" campaigns that deliver both high efficiency and high revenue, signalling where to scale budget immediately.

  • Diagnose "Missed Opportunities": Differentiate between campaigns that have high potential but poor execution (High Value / Low Conversion) versus those that generate traffic but little profit (Low Value / High Conversion).

  • Focus ROI: This ensures that optimization efforts are not wasted on low-value activities, but are instead targeted at initiatives that drive profitable growth.

Tab 7: Control VS Test

Use this tab to monitor the performance of the Campaigns, split into Control and Test populations. Based on this data decide whether the Campaign Test population outperformed the Campaign Control population.

Key Metrics:

  • Campaign ID - unique identifier of the Campaign.

  • Campaign Name - the name of the Campaign.

  • Campaign Population - unique count of users that registered to the Campaign.

  • Conversion Rate - share of the Converted Users out of Users that registered to the Campaign.

  • Attribution Value - average Deposit Amount, directly associated with the user's activity on the given Campaign.

The chart shows by how much the Test Population is better than the Control Population in a more user friendly manner.

Value to You:

By isolating a "Control" group (who receive no communication) against a "Test" group, it enables the business to measure True Upliftโ€”stripping away organic behavior to reveal exactly how much additional revenue or activity the campaign itself generated. This distinction is critical for financial discipline; it prevents the business from paying out bonuses to players who would have deposited anyway, and provides the statistical confidence needed to either scale successful campaigns to the full database or terminate ineffective ones before they waste further budget.

Tab 8: A/B Testing

Use this tab to compare between the pre-set marketing resources and decide which is the better offer for the business to keep. Read more on the A/B Testing here.

Key Metrics:

  • Campaign ID - unique identifier of the Campaign.

  • Campaign Name - the name of the Campaign.

  • Resource Name - the name of the A/B splits, the business made for the comparison purposes.

  • Attribution Value - average Deposit Amount, directly associated with the user's activity on the given Resource.

  • Users Started - unique count of the users that registered to the given Resource of the Campaign.

  • Users Converted - unique count of user that reached the Conversion step on the given Resource of the Campaign.

The below tables allow you to further analyse the A/B performances per each Communication Channel.

Value to You:

Evaluating distinct resourcesโ€”such as different email subject lines, banner creatives, or bonus amountsโ€”against financial metrics like Attribution Value allows the business to scientifically determine the "Winning Variant", ultimately squeezing higher ROI from the same volume of traffic.

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