# Benchmark

## 📘 Overview

The **Benchmark Report** provides monthly trend analysis for your key KPIs, allowing you to compare your **brand’s performance against industry benchmarks**.\
This report is divided into three tabs:

* **Acquisition**
* **Deposit Activity**
* **Betting Activity**

It’s designed to help you monitor performance across the entire player lifecycle, identify trends, and make data-driven decisions.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-203d28c496a6b05ffbcb5a6120e144cfe9da263a%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

#### 🔍 How to Access the Benchmark Report

1. Navigate to Reports → Benchmarks
2. Select:
   1. Product (by player’s segmentation)
   2. Country
3. Explore the tabs for detailed insights.

## 📂 Acquisition Tab

Focus on new player acquisition and early-stage engagement.

### <i class="fa-lightbulb">:lightbulb:</i> FTDs

**What it is**

The total number of unique players who made their first deposit within the selected period.

**Why it matters**

FTDs reflect the success of your acquisition efforts and are the starting point for your revenue funnel.

**Example Insight**

* If FTDs increased 20% MoM but retention didn’t improve, acquisition quality may be low (bonus hunters).
* If FTDs are flat but revenue is growing, you may be improving player LTV through engagement.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-21a763fed38567925b861ba3aaaa528d08b2a716%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Retention by FTD Month

**What it is**

Percentage of players who deposited for the first time in a given month and remained active (or deposited again) in subsequent months.

**Why it matters**

Shows long-term engagement and product-stickiness of your acquisition cohorts.

**Example Insight**

* If Month 2 retention is 50% below industry benchmark, you may have onboarding or game experience issues.
* If early retention improves but later drops, focus on mid-lifecycle engagement.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-7399ccdd25619e6d90ba6ea8fec44283340d5809%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Average Deposit (7 & 30 Days from FTD)

**What it is**

The average total deposit amount per player within the first 7 or 30 days after their first deposit.

**Why it matters**

Helps identify short-term monetization potential and LTV forecast accuracy.

**Example Insight**

* If 7-day average rises while FTD count stays flat, you’re attracting higher-value players.
* If 30-day average drops while retention improves, players are depositing smaller amounts over time.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-c23a01786af1e9fe19331ae5899ea7fa4617e253%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Average FTD Amount per Player

**What it is**

The mean value of the first deposit made by new players.

**Why it matters**

Indicates initial player confidence and market pricing expectations.

**Example Insight**

* If Avg FTD amount is below benchmark, consider adjusting welcome offers or deposit UI.
* If Avg FTD is high but retention is low, you might be attracting high-risk players who don’t stick around.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-e99b820cad0d78837b1aed96421f1d19c8a58945%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Registration-to-FTD Conversion Rate

**What it is**

Percentage of registered users who made their first deposit.

**Why it matters**

Measures the efficiency of your funnel from registration to deposit.

**Example Insight**

* If Conversion Rate drops after UI changes, your onboarding process needs review.
* If Conversion improves during promos, evaluate cost vs. lifetime value to ensure profitability.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-325011333cf0650b04cb242afe282a11e1a81b29%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Days Between Registration and FTD

**What it is**

Average time between when a user registers and makes their first deposit.

**Why it matters**

A shorter gap usually signals a healthy funnel and strong intent.

**Example Insight**

* If this KPI increases, your onboarding flow might be too slow or bonuses unappealing.
* If it’s near zero but retention is poor, players may be pushed to deposit too early.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-dbb8c10b9a14c6b084fa98fdd11c4c071c357b1a%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

## 📂 Deposit Activity Tab

Helps analyzing the deposit patterns and player spending depth.

### <i class="fa-lightbulb">:lightbulb:</i> Deposit Amount MoM Change %

**What it is:**

The percentage change in total deposit amount compared to the previous month.

**Why it matters:**

Shows overall revenue momentum and seasonality.

**Example Insight:**

* If MoM deposit growth outpaces FTD growth, engagement from existing players is strong.
* If MoM deposits drop despite stable FTDs, retention or churn may be an issue.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-bca0c16033e4adcf2180c26739d99cd460c16d4a%2Fimage.png?alt=media" alt=""><figcaption><p><em>Positive % = growth, Negative % = decline.</em></p></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Net Cash to Deposit Ratio

**What it is:**

Deposit Amount minus Withdrawal Amount as a percentage of the Deposit Amount

**Why it matters:**

Indicates profitability.

**Example Insight:**

* If ratio drops, players might be winning more or bonuses are too generous.
* If ratio rises significantly, review game fairness and risk controls.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-23241aa687424f3d2880bf089d2f89198a6cabc5%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Deposit Amount Pareto

**What it is:**

Distribution of deposits by player segments (e.g., 20% of players contributing 80% of deposits).

**Why it matters:**

Shows dependency on high-value players (VIP concentration).

**Example Insight:**

* If Pareto ratio worsens (e.g., 10% of players = 90% of deposits), your revenue is too reliant on a few whales.
* If distribution becomes more balanced, you’re building a healthier player base.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-aecd271b92036478e22948a8b98c6989eedfe838%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Average Deposit Amount per Depositor

**What it is:**

Average deposit amount per player who deposited at least once.

**Example Insight:**

* If Avg Deposit per Depositor rises while depositor count drops, revenue is driven by VIPs, not mass.
* If it’s below benchmark, consider payment method optimization or tiered offers.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-31d0d7c23d17137734317179a73532e8445d4e2d%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

## 📂 Betting Activity Tab

Measure player engagement and activity for Casino and Sports.

### <i class="fa-lightbulb">:lightbulb:</i> Active Players MoM Change %

**What it is:**

Month-over-month percentage change in the number of players who placed at least one bet.

**Why it matters:**

Measures engagement growth or decline.

**Example Insight:**

* If Active Players drop but deposits stay stable, you have fewer but higher-value users.
* If both drop, your engagement strategy needs review.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-a4433bde64cb843289f8da9d3459e2fb084b341c%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Active Players by Activity Segments

**What it is:**

Breakdown of active players into acquisition cohorts:

* New: First activity this month.
* Retained: Played last month and this month.
* Reactivated: Returned after inactivity.

**Example Insight:**

* If retained segment shrinks, churn is increasing.
* If reactivated grows, win-back campaigns are effective.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-86efe016edc76d6d92ac1ba9e31ac3f0f7fb90f9%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Stickiness

**What it is:**

Frequency of user activity within the month (e.g., ratio of DAU to MAU).

**Why it matters:**

Indicates how often players return and engage with your platform.

**Example Insight:**

* If stickiness drops but active users rise, you’re acquiring more low-frequency players.
* If stickiness improves, players are building habits.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-dbda8ef49c656252c464418f936a7d0df41e6f27%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Casino/Sport Average Playing Days

**What it is:**

Average number of distinct days a player has a bet in the period.

**Why it matters:**

Shows consistency of engagement in product vertical.

**Example Insight:**

* If Avg Playing Days rises, players are forming strong engagement loops.
* If it falls, review product variety and bonus structures.

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-5fd9018d4461147c0ff5a603422d065e74d6aeb7%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

### <i class="fa-lightbulb">:lightbulb:</i> Bet Amount per single Bet (Casino & Sports) – Median and 95<sup>th</sup> percentile

**What is median:**\
The middle value of all casino bets placed during the selected period. This avoids distortion from extreme outliers (whales or very small bets).

**Why it matters:**

A stable median reflects consistent engagement from the core player base, rather than being skewed by a few high rollers.

**Example Insight:**

If Median Bet Amount increased by 15% MoM, while traffic stayed stable, it may indicate players are becoming more confident and engaged.

**What is 95th percentile:**

The 95th percentile of all bets – the minimum bet size of the top 5% of bets. This reflects VIP betting behavior.

**Why it matters:**

A strong top 5% indicates the presence and health of a high-value segment.

**Example Insight:**

If Top 5% Bet Amount dropped by 20% while Median remained stable, your VIP activity might be shrinking (possible churn or reduced high-stakes play).

If Top 5% surged during a promo period, check retention post-promo to confirm it’s not bonus-driven play.<br>

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-4d09f80e4f4ca2ea0f744067da730d7fbb7c9457%2Fimage.png?alt=media" alt=""><figcaption></figcaption></figure>

✅ What to Look For

* How your KPIs compare to the industry benchmark.
* Which KPIs are trending up or down month over month.
* KPI Explanation, What to Look At (vs. Industry), Good Signs, Bad Signs

<figure><img src="https://77049817-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FfS5hl0PiysHtKAKMsQTe%2Fuploads%2Fgit-blob-1b37d123256d66cb259568cd14f8763b9ce1f3c2%2Fimage.png?alt=media" alt="" width="375"><figcaption></figcaption></figure>
