# KPIs per period (tables)

## Month-to-Date (MTD)

{% hint style="info" %}
Use the MTD table to identify month-to-month tendencies in main KPIs
{% endhint %}

The MTD table consists of set of KPIs, which are being compared month-over-month for the period of between the beginning of the month till yersterday's day. <br>

**How to read it:**\
For example, on 15th of February, the comparison will be made between the period of 01/02-15/02 and the period of 01/01-15/01.\
In the example below:

* There are 107,855 new registrations for the period of 01/02-15/02, which is 15% more than the period 01/01-15/01

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2FF0DHTOIec5oezFxp4toa%2Fimage.png?alt=media&#x26;token=ed266ad7-1e4a-4a26-b25c-23c7025c2562" alt=""><figcaption></figcaption></figure>

## Daily Data

{% hint style="info" %}
Use the daily view to identify spikes, dips, or anomalies in affiliates' performance.
{% endhint %}

The Daily Data table consists of breakdown of affiliate performance day by day for the filtered time period.

**Key Metrics:**

* FTDs - Count of first-time depositors
* QFTDs - Count of qualified first-time depositors (who qualified for CPA commission)
* Deposit Count  - Count of deposits&#x20;
* Deposits Amount (non-FTD) - Amount of deposits that are not first-time deposits
* Deposits Amount (FTD) - Amount of first-time deposits
* Withdrawal Count - Count of withdrawals
* Withdrawal Amount - Amount of withdrawals
* Active Players - Count of players that had either a Bet or a Deposit during the relevant period.
* Volume (Bet Amount)
* PnL (GGR) - GGR, as reported to TAP as final value
* Bonus Amount&#x20;
* Net PnL (NGR) - NGR, as calculated by TAP based on PnL(GGR) - Bonus - Deductions
* Chargebacks - If reported by platform
* Deductions - If reported by platform
* CPA Fees - Total CPA commission calculated for affiliates
* CPL Fees - Total CPL commission calculated for affiliates
* Rev Share Fees - Total RevShare commission calculated for affiliates
* Sub Affiliate Fees - Total commission from Sub-Affiliates calculated for Parent affiliates
* Total Commission - Sum of CPA Fees + CPL Fees + Rev Share Fees + Sub Affiliate Fees <br>

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2F7aDE2tSxgWjNgkCAdGPr%2Fimage.png?alt=media&#x26;token=2f75ea7f-7b04-4d77-bba1-67fdf9298e91" alt=""><figcaption></figcaption></figure>

**Hints:**

* Use the 'Event date' filter to sepcify a time frame for which results will be shown.
* Use 'Date Zoom' filter to control the granularity of the report (how results are grouped by time), as shown below.

## Monthly Data

{% hint style="info" %}
Use the monthly view for high-level performance reviews.
{% endhint %}

The Monthly Data table consists of breakdown of affiliate performance month per month for the filtered time period.

**Key Metrics:**\
Same as Daily Data table

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2FwZdiyZxsRieISmzuoCLG%2Fimage.png?alt=media&#x26;token=aa449b96-48d1-48de-84a7-f78eaf68e8e7" alt=""><figcaption></figcaption></figure>

## Activity of Players by Registration Date (Cohort Report)

\
Build your custom cohort report by grouping players based on a shared characteristic, most commonly their **registration date**, to analyze their activity over a later time period.

To do this, use the **Event Date** and **Registration Date** filters together.<br>

* **Event Date** - Filters results based on when the activity occurred&#x20;
* **Registration Date** - Filters results based on when the player registered.&#x20;

**Example Insight:**&#x20;

* If you set **Event Date** between 01-03-2026 and 31-03-2026 and **Registration Date** between 01-02-2026 and 28-02-2026, the report will show **activities that happened in March for players who registered in February**.<br>

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2FjMoI2sPSrO7KZ9SJk7sT%2Fimage.png?alt=media&#x26;token=df6b9cb8-fd21-4e4e-97d0-a34063a33e47" alt=""><figcaption></figcaption></figure>

## Daily Acquisition Funnel

{% hint style="info" %}
Use the Daily Acquisition Funnel to identify periods with low/high conversions and spot trends amongst players.
{% endhint %}

This table provides daily breakdown of player conversions.

**Key Metrics:**<br>

* Visits (Unique) - Count of unique visits, generated via affiliates' tracking links&#x20;
* Registrations - Number of visitors who registered.
* FTDs - Number of registered players who made their first deposit.
* Conversion Rates:
  * Visits to Registrations - Percentage (%) of unique visitors who registered (Count of Registrations divided by Count of Count of unique visits, in %)
  * Registrations to FTDs - Percentage (%) of registered players who made an FTD (Count of FTDs divided by Count of Registrations, in %)

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2FU0cbkWawCjkoaFuWROis%2Fimage.png?alt=media&#x26;token=426b9026-1692-48d2-958e-b8372b8664b2" alt=""><figcaption></figcaption></figure>

## Monthly Acquisition Funnel

{% hint style="info" %}
Use the Monthly Acquisition Funnel to identify months with low/high conversions and spot trends
{% endhint %}

This table provides monthly breakdown of player conversions.\
\
**Key Metrics:**\
Same as Daily Acquisition Funnel

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2Fo9atSDpHkBjLtTdlAJ0L%2Fimage.png?alt=media&#x26;token=2c9a864c-8fab-4997-9e35-057c1b20d0a9" alt=""><figcaption></figcaption></figure>

## Important Clarifications

* **Active Players** – Represents count of players that had either a Bet or a Deposit during the relevant period.
* **NaN / Ø** – Indicates no data is available for the period or metric filtered.
* Use the **Date Zoom** to adjust the view to Daily, Weekly, Quarterly or Yearly granularity. \
  Once set, this filter is applied to all tables on the page, except the MTD table.&#x20;

  *The MTD (Month-to-Date) table* *has a predefined time frame and always shows month-over-month comparison.*

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2FcxTmMkQz7m2z0I3JYxmR%2Fimage.png?alt=media&#x26;token=dfc8a559-14e6-4475-bee8-1089e00eb508" alt=""><figcaption></figcaption></figure>

* Use **Event date** filter to get results that happened in the selected time frime\
  Once set, this filter is applied to all tables on the page, except the MTD table. \
  \&#xNAN;*The MTD (Month-to-Date) table has a predefined time frame and always shows month-over-month comparison.*

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2FOYVyCZTclLvnv8QUivod%2Fimage.png?alt=media&#x26;token=e9db4770-c558-4020-8ae9-c760ada9359e" alt=""><figcaption></figcaption></figure>

* Use **Registration date** filter to get results only for players registered in the selected time frame.\
  Once set, this filter is applied to all tables on the page, except the MTD table. \
  \&#xNAN;*The MTD (Month-to-Date) table has a predefined time frame and always shows month-over-month comparison.*

<figure><img src="https://2789002490-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2Fkbip9hFgRFwIv4mXJPnz%2Fuploads%2FocGTlHo3zP4CeiOzUOjR%2Fimage.png?alt=media&#x26;token=40384912-3a08-45ec-82b4-bb56fb61a120" alt=""><figcaption></figcaption></figure>