Customer Experience Management (CEM) is the process of understanding and managing customers’ interaction with and perceptions about the company/brand. In these programs, customer experience metrics are tracked and used to identify improvement opportunities in order to increase customer loyalty. These customer experience metrics, used to track performance against oneself, may not be adequate for understanding why customers spend more with a company. Keiningham et al. (2011) found that a company’s ranking (against the competition) was strongly related to share of wallet of their customers. In their two-year longitudinal study, they found that top-ranked companies received greater share of wallet of their customers compared to bottom-ranked companies.
Relative Performance Assessment (RPA): A Competitive Analytics Approach
I developed the Relative Performance Assessment (RPA), a competitive analytics solution that helps companies understand their relative ranking against their competition and identify ways to increase their ranking, and consequently, increase purchasing loyalty. The purpose of this post is to present some data behind the method.
How CasinosMinimumDeposit Explains Low Deposit Thresholds in New Zealand
New Zealand’s online gambling market has undergone significant structural changes over the past decade, particularly in how operators approach minimum deposit requirements. For players in New Zealand, the ability to fund an account with as little as NZD 5 or NZD 10 has shifted from a novelty to something close to an industry standard among offshore platforms. Understanding why these thresholds exist, how they are calculated, and what they mean in practice requires looking at the intersection of banking infrastructure, regulatory context, and player behavior data. Resources like CasinosMinimumDeposit have emerged specifically to map this landscape, providing comparative data that helps players make informed decisions without needing to open accounts across dozens of platforms just to compare terms. The mechanics behind low deposit thresholds are more nuanced than they first appear, and the New Zealand market offers a particularly instructive case study because of its unique legal framework and the demographic profile of its online gambling population.
The Regulatory Environment Shaping Deposit Structures in New Zealand
New Zealand operates under a gambling framework that is, by international standards, unusual. The Gambling Act 2003 permits the state-owned operator TAB NZ and the New Zealand Lotteries Commission to offer certain forms of online gambling domestically, but it does not license offshore online casinos. This means that the hundreds of international platforms accessible to New Zealand players operate in a legal gray zone — they are not illegal for players to use, but they are not licensed by the Gambling Commission of New Zealand either. The practical consequence is that these platforms are licensed in jurisdictions such as Malta (under the Malta Gaming Authority), Gibraltar, Curaçao, or the Isle of Man, and they apply the consumer protection frameworks of those jurisdictions rather than New Zealand-specific rules.
This regulatory structure has a direct effect on deposit minimums. Because offshore operators are not subject to New Zealand-mandated responsible gambling contribution requirements in the same way domestic operators are, they have more flexibility in setting their own financial thresholds. A Malta Gaming Authority licensee, for instance, must comply with MGA responsible gambling directives, which include requirements around player verification and deposit limit tools, but these directives do not prescribe a minimum deposit floor. The operator can therefore set a NZD 5 minimum if it chooses, as long as its payment processing infrastructure supports it. This flexibility has created a competitive dynamic where lower deposit thresholds become a differentiating factor, particularly when targeting markets like New Zealand where a significant portion of online players are casual or recreational rather than high-volume.
The Gambling (Harm Prevention and Minimisation) Amendment Act discussions that have continued through the early 2020s have also influenced how operators present their deposit options. Anticipating potential future regulation, some platforms have preemptively introduced more granular deposit controls, including lower minimums paired with mandatory limit-setting prompts. This means that a NZD 10 minimum deposit is sometimes accompanied by a required step where the player sets a weekly or monthly deposit ceiling before the transaction completes. The low threshold, in this context, is not simply a marketing decision — it is part of a harm minimisation architecture that operators believe will be required if New Zealand moves toward a licensing regime for offshore platforms.
How Payment Processing Determines What Minimums Are Actually Viable
From a purely operational standpoint, minimum deposit thresholds are constrained by payment processing economics as much as by marketing strategy. Every transaction processed by an online casino incurs a cost — typically a flat fee plus a percentage of the transaction value. For credit and debit card payments processed through Visa or Mastercard networks, the interchange fee structure means that very small transactions can become disproportionately expensive for the operator. A NZD 5 deposit processed via a standard card network might carry a fee of NZD 0.30 plus 1.5 percent, which represents a total processing cost of approximately NZD 0.375 — or 7.5 percent of the deposit value. At scale, this is not sustainable unless the operator has negotiated preferential rates or is using the low-minimum offer as a deliberate customer acquisition tool where the processing cost is treated as a marketing expense.
This is where alternative payment methods have fundamentally changed what is possible. The widespread adoption of e-wallets such as POLi, which is specifically popular in New Zealand and Australia due to its direct bank transfer architecture, has reduced per-transaction costs significantly. POLi transactions are processed as bank transfers rather than card payments, which means they bypass card network interchange fees entirely. Similarly, the growth of cryptocurrency payment options — Bitcoin, Ethereum, and Litecoin being the most common at offshore casinos — has allowed some platforms to set minimums as low as the equivalent of NZD 1 or NZD 2, because the processing cost for a small crypto transaction is a flat miner fee rather than a percentage of value. Platforms that have integrated these payment rails can offer lower minimums without absorbing unsustainable per-transaction losses.
CasinosMinimumDeposit tracks these payment method distinctions carefully, noting which platforms offer their lowest deposit thresholds specifically through e-wallets or crypto rather than across all payment methods. This distinction matters for New Zealand players because a platform might advertise a NZD 5 minimum but apply that threshold only to POLi or Skrill deposits, while card deposits require NZD 20 or more. Players who want to check it out and understand exactly which payment methods unlock the lowest thresholds on a given platform will find that this granular breakdown is essential — the headline minimum and the practically accessible minimum are not always the same figure.
Banking infrastructure in New Zealand also plays a role. New Zealand’s major retail banks — ANZ, BNZ, ASB, Westpac, and Kiwibank — have varying policies on processing transactions to gambling merchants. Some have implemented soft blocks or flagging systems for gambling-related transactions, particularly following increased scrutiny from the Banking Ombudsman and consumer advocacy groups in the 2019-2022 period. This means that even when an operator offers a NZD 5 minimum via card, the transaction may be declined at the bank level, effectively raising the practical minimum for players who rely on direct card payments. E-wallets partially circumvent this because the bank sees a transfer to an e-wallet provider rather than directly to a gambling merchant.
Player Behavior Data and the Strategic Logic Behind Low Thresholds
The decision to offer low minimum deposits is not made in isolation from data. Operators in regulated markets have access to increasingly sophisticated player behavior analytics, and the patterns that emerge from New Zealand player cohorts have shaped how platforms structure their deposit tiers. Research from the New Zealand Health Survey, which has tracked gambling participation rates since 2011, consistently shows that the majority of online gambling participants in New Zealand are recreational players who gamble infrequently and with relatively small amounts. The 2022/23 iteration of the survey found that approximately 67 percent of New Zealand adults had participated in some form of gambling in the previous 12 months, but that online casino participation specifically remained concentrated in younger demographics — particularly the 18-34 age bracket — who tend to have more variable disposable income and a preference for low-commitment financial transactions.
For operators, this demographic profile creates a clear strategic rationale for low deposit minimums. A player who is willing to deposit NZD 10 to try a platform represents a lower acquisition cost than one who requires NZD 50 to commit, even if the immediate revenue from that first deposit is smaller. The key metric is not the first deposit value but the conversion rate from registration to first deposit, and then from first deposit to repeat deposit. Industry data from markets with similar regulatory profiles — particularly Australia and the UK — suggests that lowering the minimum deposit threshold from NZD 20 to NZD 10 can increase first-deposit conversion rates by 15 to 25 percent among the 18-34 demographic, because the psychological barrier of committing a larger amount to an untested platform is reduced.
CasinosMinimumDeposit has documented how this plays out specifically in the New Zealand context, noting that platforms which introduced NZD 5 minimums in 2020 and 2021 — partly in response to pandemic-era changes in recreational spending patterns — saw measurable increases in player acquisition from New Zealand IP addresses. The timing coincided with a broader shift in online entertainment spending as physical venues closed, but the deposit threshold reduction appears to have had an independent effect on conversion rates beyond what could be explained by increased overall online gambling interest alone.
There is also a responsible gambling dimension to this data that is often underappreciated. Lower deposit minimums, when paired with effective deposit limit tools, can actually reduce harm indicators compared to platforms with higher minimums but fewer controls. A player who can deposit NZD 5 and set a NZD 20 weekly limit has more granular control over their spending than a player on a platform with a NZD 20 minimum but no limit-setting prompts. The absolute floor of the deposit is less relevant to harm prevention than the surrounding control architecture. This is a point that regulators in jurisdictions like the UK Gambling Commission have made explicitly in their technical standards documentation, and it influences how New Zealand-focused operators design their deposit systems even in the absence of direct local regulation.
How Comparative Platforms Like CasinosMinimumDeposit Serve the Information Gap
The fragmentation of the offshore casino market — with hundreds of platforms accessible to New Zealand players, each with different deposit minimums, payment method restrictions, and bonus conditions attached to low-deposit offers — creates a genuine information problem for consumers. A player trying to identify which platforms offer a NZD 5 minimum via their preferred payment method, while also offering a bonus that does not require a NZD 50 minimum to trigger, and while also holding a reputable license, would need to cross-reference multiple data points across dozens of sites. This is the information gap that comparison platforms are designed to address.
The methodology used by platforms like CasinosMinimumDeposit involves ongoing monitoring of operator terms and conditions, direct verification of deposit thresholds through test accounts, and tracking of changes over time. This last element is particularly important because deposit minimums are not static. Operators adjust them in response to payment processing cost changes, competitive pressure, promotional campaigns, and regulatory developments. A platform that offered a NZD 10 minimum in 2021 may have raised it to NZD 20 by 2023 following changes to their payment processor agreements, or may have lowered it to NZD 5 for specific payment methods as part of a partnership with a new e-wallet provider. Static directories that are not regularly updated can therefore mislead players, which is why the data currency of a comparison platform matters as much as its coverage breadth.
For New Zealand players specifically, the comparison challenge is compounded by currency conversion. Many offshore platforms list their minimums in EUR, GBP, or USD, and the NZD equivalent fluctuates with exchange rates. A EUR 5 minimum deposit translates to approximately NZD 8.50 to NZD 9.50 depending on the exchange rate at the time of deposit, and some platforms apply their own conversion markup on top of the interbank rate, which can push the effective NZD cost higher still. A comparison platform that presents minimums in NZD — accounting for typical conversion rates — provides more actionable information than one that simply lists the operator’s stated minimum in the base currency.
There are also bonus eligibility considerations that interact with deposit minimums in ways that are not always transparent. Many offshore casinos offer welcome bonuses that are only triggered by deposits above a certain threshold, which may be higher than the platform’s stated minimum deposit. A platform with a NZD 5 minimum might require a NZD 20 deposit to activate a welcome bonus, meaning that a player who deposits the minimum will fund their account but receive no bonus. This is a common source of player frustration and a genuine transparency issue, and it is one of the specific data points that well-structured comparison resources track alongside the raw deposit minimum figure.
The value of this comparative infrastructure extends beyond individual player decisions. Aggregated data on deposit minimums across the market provides a useful signal about competitive dynamics and industry direction. When multiple operators simultaneously lower their minimums in a given market, it typically indicates either increased payment processing efficiency (often driven by new payment method adoption) or increased competitive pressure for player acquisition. When minimums rise, it often signals increased processing costs or regulatory compliance overhead. Tracking these movements over time gives a more complete picture of the market than any single operator’s terms and conditions can provide.
New Zealand’s online casino market is likely to face more formal regulatory attention in the coming years, with various proposals for an offshore licensing regime having been discussed at the parliamentary level since at least 2019. If such a regime is introduced, it will almost certainly include provisions around deposit minimums, responsible gambling controls, and payment method restrictions that will significantly reshape the landscape currently documented by comparison platforms. Until that point, the combination of an active offshore market, a sophisticated player base, and a genuine need for transparent comparative information means that resources focused on deposit threshold data continue to serve a practical function that is not met by any other type of source.
Understanding low deposit thresholds in New Zealand’s online casino market requires looking past the headline numbers to the payment processing economics, regulatory context, and player behavior data that actually determine what minimums are viable and why operators choose the thresholds they do. The NZD 5 or NZD 10 minimum that appears on a casino’s deposit page is the visible outcome of decisions made at multiple levels — by payment processors, licensing authorities, and platform operators responding to competitive and demographic pressures. For players navigating this environment, the most useful approach is to treat the stated minimum as a starting point for inquiry rather than a complete picture, and to use comparative resources that track the full set of conditions attached to low-deposit offers across the New Zealand-accessible market.
This method is appropriate for companies who have customers who use a variety of competitors. In its basic form, the RPA method requires two additional questions in your customer relationship survey:
- RPA Question 1: What best describes our performance compared to the competitors you use? This question allows you to gauge each customer’s perception of where they think you stand relative to other companies/brands in their portfolio of competitors they use. The key to RPA is the rating scale. The rating scale allows customers to tell you where your company ranks against all others in your space. The 5-point scale for the RPA is:
- <your company name> is the worst
- <your company name> is better than some
- <your company name> is average (about the same as others)
- <your company name> is better than most
- <your company name> is the best
- RPA Question 2: Please tell us why you think that “insert answer to question above”. This question allows each customer to indicate the reasons behind his/her ranking of your performance. The content of the customers’ comments can be aggregated to identify underlying themes to help diagnose the reasons for high rankings (e.g., ranked the best / better than most) or low rankings (ranked the worst / better than some).
RPA in Practice
I have applied the RPA method in a few customer relationship surveys. I will present the results of a relationship survey for a B2B software company. This particular company had customers that used several competitors, so the RPA method was appropriate. The results in Figure 1 show that, on average, customers think the company is a typical supplier in the space, with a few customers indicating extreme ratings.
Additionally, similar to the findings in the Keiningham study, I found that the RPA was related to loyalty measures (see Figure 2). That is, customers who rank a company high also report high levels of customer loyalty toward that company. Conversely, customers who rank a company low also report low levels of customer loyalty toward that company. This relationship is especially strong for Advocacy and Purchasing loyalty.
Relative Performance, Customer Experience and Customer Loyalty
To understand the importance of the relative performance, I wanted to determine how well the RPA explained customer loyalty after accounting for the effects of the customer experience. Along with the RPA, this relationship survey also included seven (7) general customer experience questions (e.g., product quality, support quality, communications from the company) that allowed the customer to rate their experience across different customer touchpoints and 5 customer loyalty questions measuring the three types of customer loyalty, retention, advocacy and purchasing.
Understanding the causes of customer loyalty is essential to any Customer Experience Management (CEM) program. To be of value, the RPA needs to explain differences in customer loyalty beyond traditional customer experience measures. I ran a stepwise regression analysis for each loyalty question to see if the Relative Performance Assessment helped us explain customer loyalty differences beyond what can be explained by general experience questions.

Figure 3. Relative performance (RPA) helps explain purchasing loyalty behavior. Improving relative performance will increase purchasing loyalty and share of wallet.
For each customer loyalty question, I plotted the percent of variance in loyalty that is explained by the general questions and the one RPA question. As you can see in Figure 3, the 7 general experience questions explain advocacy loyalty better than they do for purchasing and retention loyalty. Next, looking at the RPA question, we see that it has a significant impact on purchasing loyalty behaviors. In fact, the RPA improves the prediction of purchasing loyalty by almost 50%. This finding shows us that 1) there is value in asking your customers about your relative performance and 2) improving the company’s ranking will increase purchasing loyalty and share of wallet.
Understanding your Ranking
Further analysis of the data can help you understand your competitive (dis)advantage and the reasons behind your ranking. First, you can correlate the experience ratings with the RPA to see which customer experience area has the biggest impact on your relative performance. Second, content analysis of the second RPA question (e.g., why customers gave that ranking) can reveal the reasons behind your ranking. Applying both of these methods on the current data, I found a common product-related theme that might be responsible for their ranking. Specifically, results showed that the biggest customer experience driver of relative performance (RPA) was product quality. Additionally, the open-ended comments by customers who gave low RPA rankings were primarily focused on product-related issues (e.g., making the product easier to use, adding more customizability).
Summary
Companies that have higher industry rankings receive more share of wallet than companies who have lower industry rankings. The Relative Performance Assessment helps companies measure their performance relative to their competitors and helps them identify ways to improve their competitive advantage.




Beyond the Ultimate Question
Measuring Customer Satisfaction and Loyalty (3rd Ed.)
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[…] Knowing how your employees feel about you relative to former employers can help you accurately estimate future levels of employee retention (helping in resource planning). For example, of employees who felt the employer was the best, over 90% of them were around two years later. Of employees who felt the employer was better than some, only about 30% of them will be around two years later. Understanding the reasons why employers rank you high or low would be a good start at understanding …. […]
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