โพCampaigns Dashboard
๐ 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

๐ How to Access the Campaigns Dashboard
Navigate to Reports โ Campaigns Dashboard
Select all the relevant filters
Explore the Dashboard for detailed insights.
Tab 1: Summary
Weโve 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.

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.

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).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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