Retention / Retention Rate — Why It Matters, How to Calculate It and Its Impact on LTV

Publication date: 26 August 2026

Retention is a measure of how well a product keeps users active over time. In iGaming, activity may be defined as making a repeat deposit, placing a bet, playing a game, or completing another qualifying action. The exact definition depends on the operator and analytics system.

Retention Rate expresses this as a percentage and shows what share of an acquired cohort remains active after a defined period.

For affiliates, retention is important because an FTD alone does not tell the full story of traffic quality. A player may make a first deposit and then never return. If that happens at scale, the long-term value of the cohort can be significantly lower than the initial FTD numbers suggest.

This is why retention is usually analyzed alongside FTD, repeat deposits, LTV and other traffic-quality metrics. For the basic acquisition event, see the guide to FTD and its role in player acquisition.

Why Measure Retention Rate?

Retention helps affiliates and operators understand what happens after acquisition, rather than focusing only on the initial conversion.

• Evaluate long-term traffic value. A high number of FTDs does not automatically translate into high LTV. If many players stop returning after their first deposit, the long-term value of the cohort may be limited.
• Compare traffic sources. One channel may generate more FTDs, while another brings fewer players but stronger long-term engagement. This is why retention should be analyzed alongside the economics and quality of individual traffic sources in affiliate marketing.
• Compare offers and GEOs. Player behavior can vary significantly depending on the market, vertical, device, acquisition source and operator.
• Evaluate RevShare potential. When an affiliate works on a revenue-share model, the long-term activity of referred players can have a major impact on future earnings. The exact revenue-share calculation depends on the affiliate agreement.

Retention should not be treated as a standalone profitability metric. A high retention rate does not necessarily mean high revenue if players deposit small amounts, have low activity or generate limited operator revenue.

How to Calculate Retention Rate

There is no single retention formula that applies to every analytics setup. Before calculating the metric, define:

1. the cohort being analyzed;
2. the starting event — for example, registration or FTD;
3. the activity event that qualifies a user as active;
4. the measurement period — such as D1, D7 or D30.

For cohort-based analysis, a basic formula is:

Retention Rate = (Number of users from the cohort who are active during the selected period / Original cohort size) × 100%

Example

Suppose a cohort contains 200 players who made their first deposit.

On day 30, 60 players from that cohort performed an action defined by the operator as active behavior.

The calculation is:

D30 Retention = (60 / 200) × 100% = 30%

The result means that 30% of the original cohort was active on day 30.

It would be incorrect to automatically conclude that the remaining 70% have permanently churned. Some users may simply be inactive at that point and return later. This is why retention calculations require a clearly defined methodology.

Cohort Retention

For affiliate marketing, cohort analysis is more informative than a single retention figure for the entire player base.

A cohort is a group of users sharing a defined characteristic — for example, the same FTD date, GEO, traffic source, offer or campaign.

For example:

This type of table provides much more actionable information than one average retention figure across the entire database.

D1, D7 and D30 are commonly used retention checkpoints in digital analytics and iGaming, although the exact measurement points can vary by product and business model. The key is to use the same methodology when comparing cohorts.

Retention vs. Churn Rate

Churn Rate measures the share of users who become inactive over a defined period.

For the same cohort and the same definition of activity, a simplified relationship can be expressed as:

Churn Rate = 100% − Retention Rate

However, this relationship only works when retention and churn use comparable definitions. In real-world analytics, churn may be calculated using additional conditions, such as a specified period of inactivity or rules around reactivation.

For affiliates, the practical takeaway is straightforward: higher churn means a faster decline in the active player base, which can negatively affect LTV and future RevShare revenue.

How Retention Affects LTV

Retention and LTV are related but different metrics.

Retention measures how much of a user cohort remains active. LTV measures the economic value generated by a player over a defined lifetime or active period.

All else being equal, longer player activity creates more opportunities for repeat deposits and further revenue generation. This makes retention an important input when assessing LTV.

However, there is no simple equation where higher retention automatically means higher LTV.

LTV is also affected by:

• deposit frequency and size;
• betting or gaming activity;
• wagering volume;
• player winnings;
• bonus costs;
• payment fees;
• GEO;
• vertical;
• affiliate program terms.

Professional traffic analysis therefore looks at retention together with LTV and other financial metrics rather than treating retention as a standalone KPI.

Retention and RevShare

Retention is particularly relevant to affiliates working on RevShare, because this model is designed around the long-term monetization of referred users.

Under a standard RevShare arrangement, an affiliate receives an agreed percentage of operator revenue generated by referred players. The actual calculation basis — such as GGR or NGR — depends on the affiliate program's terms.

Therefore, RevShare should not simply be described as a percentage of player turnover. Different programs use different calculation rules.

• Learn more about affiliate marketing payment models

If a player makes an FTD but never returns, their potential long-term value to a RevShare affiliate may be considerably lower than that of a player who remains active and continues depositing.

What Affects Retention Rate?

Traffic Quality and Relevance

The acquisition source affects not only traffic volume but also how closely users match the product and target audience.

However, it would be misleading to claim that one advertising format always produces better retention than another. Results depend on the GEO, audience, creative, offer and placement quality.

Bonus Terms

Welcome bonuses, free spins, cashback and other promotional mechanics can influence player behavior. Complicated wagering requirements, restrictive conditions or a mismatch between the advertising message and the actual promotion can negatively affect the user experience and repeat activity.

Payment Experience

Unavailable payment methods, declined transactions, processing delays and withdrawal issues can create additional friction and contribute to player churn.

Payment infrastructure therefore affects not only deposit conversion but also subsequent player behavior.

Product and User Experience

Website speed, mobile usability, game selection, betting markets, app stability, customer support and navigation can all influence whether users return.

GEO and Seasonality

Player behavior varies across markets. In sports betting, the sports calendar is an additional factor: activity may increase around major tournaments and decline once major events are over.

CRM and Retention Mechanics

Personalized offers, tournaments, cashback, free spins, push notifications and email communications can be used to reactivate and retain users. Their effectiveness should always be assessed in the context of the target GEO and responsible gambling requirements.

How Affiliates Can Use Retention Rate

Affiliates do not directly control player retention — much of it depends on the operator and product. However, retention can be a useful metric for evaluating traffic quality and offers.

1. Compare Cohorts, Not Just FTD Volume

If one source generates 100 FTDs and another generates 70, that does not automatically make the first source better.

Check how many players from each cohort remain active on D7, D30 and later.

2. Analyze Retention by GEO

Compare similar sources and offers across different GEOs. Differences in payment habits, product preferences, sports calendars and user behavior can significantly affect campaign economics.

3. Consider Retention When Selecting Offers

If an affiliate program provides data on repeat deposits, player activity or LTV, those figures may be more useful for long-term decision-making than the headline CPA alone.

For practical offer research, compare retention and other performance indicators with the available options in the 3SNET offers catalog.

4. Check Attribution and Analytics

To identify which sources actually deliver high-quality players, conversions need to be correctly attributed to traffic sources, campaigns and creatives.

Without reliable attribution, an average retention rate can hide major differences between individual acquisition channels.

5. Do Not Optimize for Cheap FTD Alone

A cheap FTD may look attractive during the initial campaign stage. But if those users rarely return or generate little additional value, the final economics may be worse than a campaign with a higher acquisition cost but stronger player quality.

Common Retention Rate Mistakes

Calculating retention across the entire player base.
An overall figure can hide major differences between GEOs, traffic sources and acquisition periods. Cohort analysis is usually more useful.

Treating every inactive player as permanently lost.
Users can return after periods of inactivity. Retention and churn should therefore be calculated using clearly defined rules.

Comparing metrics with different definitions of “active.”
If one system considers a player active after a deposit while another requires a bet, the figures cannot be compared directly.

Looking only at D1.
Early retention is useful, but D7 and D30 provide a better view of longer-term player behavior.

Confusing retention with approval rate.
Approval rate relates to the share of target actions accepted under the affiliate program's rules. Retention measures subsequent player activity. They describe different stages of the funnel.

Confusing retention with hold.
Hold is a financial metric associated with the relationship between wagers and winnings in a specific context. It does not measure player retention and should not be treated as a synonym for retention.