The Pitbot journal

NPS in iGaming: How to Measure Player Loyalty Properly

What NPS means in iGaming, how to calculate it, what a score of 70 tells you, how it differs from CSAT, and how to stop it being gamed or misread.

14 min read

Net Promoter Score (NPS) in iGaming is a single loyalty number built from one question: how likely are you to recommend this operator, game or service to a friend or colleague? Players answer on a scale of 0 to 10, you subtract the share of detractors from the share of promoters, and you get a figure between -100 and +100. It is quick to run and easy to explain to a board. It is also easy to misuse, particularly in a regulated industry where a happy customer and a healthy customer are not always the same thing.

This guide covers how the score works, what a figure such as 70 can and cannot tell you, how NPS differs from CSAT, where it breaks down for gambling, and how to collect feedback without distorting it.

TL;DR

  • NPS asks one recommendation question and returns a score from -100 to +100: percentage of promoters minus percentage of detractors.
  • In iGaming, run it two ways: relational (the whole relationship, a few times a year) and transactional (straight after a support contact).
  • A high score is not proof of healthy play. Pair NPS with CSAT, resolution data and responsible gambling signals, and never tie bonuses to the number.
  • Protect the result from gaming: survey every eligible player, not just the happy ones, and keep the support team out of the scoring.
  • Support quality is the part of NPS an operator controls most directly, so treat each reply, and its audit trail, as part of the metric.

Table of Contents

What NPS means in iGaming

NPS was designed as a loyalty measure for any business. Applied to games, it measures loyalty by asking how likely a player is to recommend a game to a friend or colleague. The standard wording is: “How likely is it that you would recommend [organisation, product or service] to a friend or colleague?” The same source notes that the question can be pointed at a game, a brand or a service, depending on what you want to learn.

For an online casino or sportsbook, that gives you three useful targets:

  • The brand overall. Would you recommend this operator?
  • A product vertical. Would you recommend our live casino, or our sportsbook?
  • A service interaction. Would you recommend us, based on how that support conversation went?

Players are split into three groups by their answer:

ScoreGroupWhat it usually means
9 to 10PromotersLoyal, likely to recommend
7 to 8PassivesSatisfied but unenthusiastic, easily lured away
0 to 6DetractorsUnhappy, at risk of churning or complaining

Passives count in the total number of responses but not in the formula itself.

Why operators bother with it

The appeal is practical. A case study of customer experience in online gambling found that the NPS question correlated more strongly with revenues than other measures, and its verbatim comments gave strategic insight. That pairing is the real value: the number gives you a trend line, and the free-text comments tell you why it moved.

In a market where acquisition costs are high and players hold several accounts, a loyalty signal that you can track quarterly and by segment is worth having. The risk is treating it as the whole picture.

How to calculate NPS, with a worked example

The arithmetic is simple:

NPS = % promoters − % detractors

A published example from a survey platform uses 48.8% promoters and 28.2% detractors: 48.8 − 28.2 = 20.6, rounded to an NPS of 21. Note that the result is a number, not a percentage, and it can be negative.

Now an iGaming-flavoured example. Suppose you survey 1,000 active players in a quarter:

  • 520 answer 9 or 10 (52% promoters)
  • 300 answer 7 or 8 (30% passives)
  • 180 answer 0 to 6 (18% detractors)

Your NPS is 52 − 18 = 34. The 300 passives do not move the score, which is why a base full of lukewarm players can look the same as a base that is half promoters and half detractors in terms of net figure. Always report the three percentages alongside the score.

Calculation habits worth adopting

  • Report the sample size and response rate. A score from 40 respondents out of 20,000 players says little.
  • Round once, at the end. Do not round the percentages first.
  • Keep the question wording fixed. Changing “operator” to “casino” mid-year breaks the trend line.
  • Segment before you average. VIP, new depositor and dormant-reactivated players behave differently. A blended score hides the segment that is leaking.

Relational and transactional NPS

Game publishers can use relational NPS regularly to track sentiment over time, and transactional NPS after interactions such as support calls or live chat. The distinction matters more than most operators realise, because the two answer different questions. A comparison of the two approaches lays out the contrast: transactional NPS is event-based and continuous, while relational NPS is time-based and periodic.

Relational NPSTransactional NPS
Question it answersHow do players feel about us overall?How did that interaction go?
TriggerCalendar (for example quarterly)After a support contact, withdrawal, KYC check
VolumeLower, periodicHigher, continuous
Best ownerHead of CX, executive teamSupport team leads
Typical useTrend and benchmarkFix a specific touchpoint

For a casino, the transactional trigger points that tend to carry the most information are:

  1. A closed support ticket or live chat.
  2. A completed withdrawal, especially the first one.
  3. Completion of identity verification.
  4. A bonus or promotion dispute being resolved.

These are the moments where players decide whether an operator is trustworthy. Send the survey close to the event, while the player still remembers it, and keep it to the single question plus one open comment box.

What a 70 NPS means, and whether it is a benchmark

Players and marketers often ask whether 70 is good. Mathematically, a 70 means promoters outnumber detractors by 70 percentage points, for instance 78% promoters and 8% detractors. Most NPS guidance treats that as an exceptional result. Vendor benchmark pages commonly call scores above 50 excellent and 70 or higher world-class, though those figures come from general consumer brands rather than gambling.

That last point is the catch. We would be careful with any headline iGaming benchmark, for three reasons:

  • Different populations. A score from a survey of recent winners is not comparable with one from a random sample of all active players.
  • Different methods. Email survey, in-app prompt and post-chat survey produce very different response biases.
  • Self-reported figures. Companies publish their best quarter. For example, a CRM platform vendor in the sector has reported a +85 NPS in a quarter, but that is a B2B score from business clients, not a measure of player loyalty at a casino. B2B and B2C scores should never sit on the same chart.

The most useful benchmark is your own history, by segment, measured the same way each time. If your transactional score after withdrawals is 15 points lower than after live chat, you know where to work. If your VIP score is falling while the overall number is flat, you have a retention problem that the average hides.

NPS versus CSAT in iGaming

Customer satisfaction score (CSAT) asks how satisfied the player was with something specific, typically on a 1 to 5 scale, right after it happened. NPS asks about the likelihood of recommending, which is a loyalty attitude. As one Qualtrics XM Institute expert put it, NPS is a relationship metric measuring loyalty attitudes, not customer experiences.

In practice:

NPSCSAT
MeasuresLoyalty, advocacySatisfaction with one thing
Scale0 to 10, result -100 to +100Usually 1 to 5, result as % satisfied
Best forBrand health, trends, segment comparisonJudging a chat, a ticket, a payout
WeaknessSlow to react, abstractSays little about future behaviour

For a casino support team, CSAT is the better day-to-day tool for scoring individual agents, conversations and AI-drafted replies. NPS is the better tool for asking whether the whole relationship is strong. Running both on the same support interaction is fine, provided you do not ask the player more than two questions.

Where NPS falls short for gambling operators

NPS is popular because it is simple. In gambling, that simplicity has costs.

It does not predict growth on its own

A Greek academic thesis evaluating customer experience metrics at an online gambling operator found that NPS did not work well as a firm-growth predictor, and that combining it with another metric may predict growth more accurately. It is a single case, so treat it as a caution rather than a rule, but it supports a sensible habit: never let one number carry the strategy.

Winning feels like loyalty

A player who has just won will often give a 10. One who has just lost may give a 2 and have nothing to do with your service. Outcome bias is built into gambling surveys. Mitigate it by separating service-related questions from game outcomes, timing surveys relative to support contacts rather than sessions, and reading the verbatim comments for the reason behind the score.

It says nothing about whether play is healthy

A player who is highly engaged, deposits heavily and scores you a 10 may also be showing signs of harm. A strong promoter base is therefore not evidence of good outcomes. UK-licensed operators work under the Gambling Commission’s rules on customer interaction, and the regulator itself looks well beyond satisfaction: for the National Lottery, it tracks consumer sentiment on honesty and trust, how well the lottery is run, responsible play and innovation. The lesson for operators is that trust and responsible play belong next to loyalty in any measurement framework.

In practice, that means keeping NPS outside any decision about whom to market to. A player flagged by your responsible gambling process should be suppressed from promotional outreach regardless of their score. Our page on responsible gambling automation explains how detection and outreach suppression work together.

It is a lagging, abstract signal

A quarterly score tells you something went wrong weeks ago. To act faster, combine it with operational support data: first response time, resolution time, reopen rate, escalation rate and complaint volume. We cover these in more depth in our guide to casino support KPIs.

Five support metrics alongside quarterly NPS

Collecting feedback without distorting the result

Once a score matters internally, people start steering it. Survey gaming, as described in a well-known Harvard Business Review piece, includes recording inaccurate contact details to bury negative feedback, asking only happy customers to respond, or begging for high scores. The same article warns against linking pay to customer feedback, which is where most of the trouble starts.

Practical safeguards for an operator:

  1. Sample by rule, not by agent. The survey goes to every eligible interaction automatically. Agents cannot choose who receives it.
  2. Do not tie bonuses to the score. Reward resolution quality, accuracy and compliance instead.
  3. Never signal the desired answer. Phrases such as “we hope we earned a 10” bias the response.
  4. Do not offer incentives for ratings. Free spins in exchange for a survey response corrupt both the score and your promotion records.
  5. Include the quiet players. Dormant and low-stakes players are part of your base, even if they rarely write in.
  6. Audit the data. Check for invalid contact details, duplicated submissions and sudden jumps by agent or shift.
  7. Close the loop. Follow up detractors within a day. Not every follow-up needs a human first, but it should always reach a human before it reaches the player (more on that below).

A clean process is also easier to defend in front of an auditor or regulator if you ever have to explain how you handled customer feedback.

How support quality moves your NPS

Of all the levers behind a casino’s NPS, support is the one operators control most directly. Players remember how long a withdrawal query took, whether anyone understood the issue, and whether they had to explain themselves three times on three channels.

The patterns that typically separate promoters from detractors in support:

  • Speed on the first reply. Slow first responses are where frustration starts.
  • Context. The agent, or the AI assistant, knows the player’s history and does not ask for it again. Our article on omnichannel casino support sets out the record components that make this possible.
  • Tone for the segment. A VIP expects a different register from a first-time depositor.
  • Correct, compliant answers. A fast wrong answer on bonus terms is worse than a slightly slower right one.
  • Sensitive cases handled by people. Complaints, distress and self-exclusion requests need escalation, not a template.

Perspective: speed means nothing without review

We build Pitbot for online casino operators, and we see the NPS question from the support desk’s side. Our view is that operators are often tempted to chase a higher score by making replies faster, and AI makes that easy. We think that is the wrong target on its own.

Perspective: speed means nothing without review — overview diagram

A reply that is quick but wrong, or quick and promotional to someone who should have been left alone, can lift a transactional score today and create a compliance problem tomorrow. That is why every AI-generated reply in Pitbot is reviewed by staff before it reaches the player. The AI does the drafting, the human decides, and the system records the decision, so the operator has an audit trail of every response. Speed is a benefit of that process, not a substitute for it.

We also think the most important number in your NPS programme is not the score but the detractor list. Every detractor who mentions support is a ticket you can learn from. Sentiment detection that flags frustrated players early, and routes them to the right person, does more for your score than a survey ever will. And whatever your promoters say, responsible gambling signals should override marketing, always.

— pitbot

Putting it together: a simple NPS programme for an operator

You do not need a large research budget. A workable structure looks like this:

  1. Relational survey, quarterly. One question, one comment box, sent to a random sample of active players per segment.
  2. Transactional survey after support. Same NPS question, plus a one to five CSAT rating, triggered automatically when a ticket closes.
  3. Dashboard by segment. Show promoters, passives and detractors, response rate and sample size, not just the headline.
  4. Link to operational data. Overlay response time, resolution rate and escalation rate on the score.
  5. Responsible gambling overlay. Keep harm indicators separate from satisfaction, and use them to suppress marketing rather than to interpret a high score as health.
  6. Quarterly review of verbatims. Read the comments from detractors and passives. Tag the top five themes. Fix the top two.

If support is your biggest source of detractors, the fastest route to a better score is usually improving how replies are written, reviewed and routed. That is the problem Pitbot’s AI player support for online casinos is built around: multi-provider AI drafting, staff review of every reply, email, live chat, SMS and Telegram in one workspace, sentiment-based escalation, VIP queue management and analytics on the same dashboard. You can see the full feature list before you book a demo.

FAQ

What does NPS mean in gaming?

NPS stands for Net Promoter Score. In gaming and iGaming, it is a loyalty measure based on how likely a player is to recommend a game, brand or service to a friend or colleague. Players score 0 to 10 and the result is the percentage of promoters (9 to 10) minus the percentage of detractors (0 to 6).

Is a 70 NPS good?

In general terms, yes: general benchmark pages describe 70 or higher as world-class. For an online casino, though, it only means something if the sample is representative, the method is clean and the score is stable over time. Compare against your own earlier results by segment rather than against another company’s headline figure.

What is better, NPS or CSAT?

Neither is better; they answer different questions. CSAT judges a specific interaction, such as a chat or a withdrawal query. NPS shows how loyal players feel towards the operator overall. Most operators use CSAT for daily service quality and NPS for quarterly brand health.

Can operators game their NPS?

Yes, and many do it unintentionally by surveying only happy players, nudging people towards high scores or linking bonuses to the number. You reduce the risk by sending the survey automatically to every eligible interaction, keeping agent pay unrelated to the score and reviewing the data for odd patterns.

Sources

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