During a survey conducted among loyalty program decision-makers from across the globe, nearly ***** out of 10 respondents reported being satisfied with their current loyalty programs in 2025. The share increased in comparison to the results from 2024.

In the face of an upcoming recession in the United States, ** percent of consumers stated they are willing to switch to less expressive brands, according to a survey conducted in 2022. Roughly ** percent noted that they will keep loyal to brands they currently purchase but will consume them less often. Only ** percent of the surveyed consumers expected to maintain their shopping behavior, buying the brands they are used to and keeping the purchase amount and frequency the same.

According to Statista's Consumer Insights Survey conducted between April 2024 and March 2025, 35 percent of consumers in the United States used a points-based reward program. Roughly one-third of respondents signed up for cashback programs. Some 16 percent did not use any type of loyalty programs.

It was found that the redemption rate of loyalty program rewards (points, cashback, and other rewards) amounted to **** percent across the globe in 2023. A year earlier, the share stood at **** percent.

The size of the Customer Success Management Platforms market was valued at USD XXX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 22.18% during the forecast period.Customer Success Management Platforms, or CSMPs, are software solutions that enable businesses to proactively manage customer relationships, improve retention rates, and maximize the lifetime value of customers. The integration of different functionalities, such as customer analytics, engagement tools, and automated workflows, in these platforms aims to enhance the overall customer experience.CSMPs give a business a good understanding of the behavior and preferences of their customers, helping them identify risks of churn and provide personalized support to build long-term customer loyalty. Recent developments include: June 2022 - Salesforce, one of the leading global CRM firms, has introduced new Customer 360 technologies that combine marketing, commerce, and service data on a single platform, allowing businesses to connect, automate, and personalize every encounter and develop trusted relationships at scale., May 2022 - Gainsight announced a partnership with Japan Cloud to make it easier for companies in the Asia-Pacific area to adopt Gainsight customer success solutions, resulting in higher net revenue retention, expanded accounts, and reduced churn. The collaboration marks a full-scale entry into APAC in response to the emergence of new SaaS business models, which has fueled the need for customer success.. Key drivers for this market are: Rapid Adoption of Cloud-based Technology, Advanced Analytics, and Automation, Growing Demand for Personalized Customer Experience. Potential restraints include: Issues in Data Synchronization and Implementation. Notable trends are: Retail and E-commerce Industry to hold Significant Share.

In 2023, a global survey revealed that top drivers of customer loyalty included offers of good products/services, good customer service support, and low prices. Around *** in ** consumers expressed a preference for companies offering high-quality products or services. This indicates that businesses need to prioritize the quality of their offerings to retain and attract customers. Customer loyalty no longer a matter of incentives A 2023 survey revealed that ** percent of consumers in Australia, Germany, the United Kingdom, and the United States demonstrated true loyalty to a specific retailer, brand, or store. This kind of loyalty was based on genuine brand adherence and it has increased since 2022. Similarly, the so-called silent loyalty, not instigated by any type of advocacy but developed organically, also increased in the course of a year. The only type of loyalty that significantly declined was the incentivized one, driven by discounts and rewards from brands. The data suggests that brand loyalty is becoming less about the perks the company offers and more about its trustworthiness. Brand loyalty at first sight  During a May 2023 survey, ** percent of respondents across various countries agreed that consumers can discover aspects that foster brand loyalty after their initial purchase. This insight emphasizes the importance of companies effectively showcasing their loyalty drivers from the first interaction with a consumer, as it can impact long-term brand loyalty. The data also underscores the need for businesses to focus on delivering positive initial experiences to capture consumer loyalty.

As of November 2023, approximately **** in five adults surveyed in the United States considered customer support, range of options, availability, and data privacy policies as important factors in keeping them loyal to a brand. Brand purpose ranked last among the presented factors, chosen by ** percent of the respondents.

About this dataset

Context

The dataset tabulates the population of Loyal by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Loyal. The dataset can be utilized to understand the population distribution of Loyal by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Loyal. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Loyal.

Key observations

Largest age group (population): Male # 0-4 years (14) | Female # 15-19 years (11). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Loyal population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Loyal is shown in the following column.
• Population (Female): The female population in the Loyal is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Loyal for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Loyal Population by Gender. You can refer the same here

About this dataset

Context

The dataset tabulates the population of Loyal by gender across 18 age groups. It lists the male and female population in each age group along with the gender ratio for Loyal. The dataset can be utilized to understand the population distribution of Loyal by gender and age. For example, using this dataset, we can identify the largest age group for both Men and Women in Loyal. Additionally, it can be used to see how the gender ratio changes from birth to senior most age group and male to female ratio across each age group for Loyal.

Key observations

Largest age group (population): Male # 0-4 years (68) | Female # 20-24 years (72). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Scope of gender :

Please note that American Community Survey asks a question about the respondents current sex, but not about gender, sexual orientation, or sex at birth. The question is intended to capture data for biological sex, not gender. Respondents are supposed to respond with the answer as either of Male or Female. Our research and this dataset mirrors the data reported as Male and Female for gender distribution analysis.

Variables / Data Columns

• Age Group: This column displays the age group for the Loyal population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Loyal is shown in the following column.
• Population (Female): The female population in the Loyal is shown in the following column.
• Gender Ratio: Also known as the sex ratio, this column displays the number of males per 100 females in Loyal for each age group.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Loyal Population by Gender. You can refer the same here

According to the results of a 2023 survey of consumers in the United States, the most disliked factor about loyalty or rewards programs was the time it takes to redeem a reward, cited by ** percent of respondents. Nearly ********* of surveyed consumers also said they did not like how difficult it was to earn a reward.

Recent economic fluctuations have bolstered revenue volatility for fashion designers. COVID-19 lockdowns in 2020 sharply reduced in-person retail demand, causing revenue to plummet. As restrictions eased and incomes rose with mass vaccination, spending on fashion designers rebounded, fueling substantial revenue growth in 2021 and 2022 and contributing to the modest climb in providers’ profit from 2020 to 2025. However, sky-high inflation in 2022 led the Federal Reserve to hike interest rates, dampening consumer confidence and discretionary spending, resulting in slower revenue growth in 2023 and 2024. With future interest rates uncertain, partly because of new tariffs, designers face continued market unpredictability and are likely to invest more in marketing to build customer loyalty. Meanwhile, sustainability has become crucial, with designers responding to rising consumer expectations for eco-friendly, ethical practices and gaining loyalty and revenue from these strategies. Digital tools and AI now drive efficiency and personalization, bolstering designers’ popularity. Overall, revenue for fashion designers in the US has soared at a CAGR of 8.6% over the past five years, reaching $4.4 billion in 2025. This includes a 2.1% gain in revenue in that year. Moving forward, fashion designers are expected to see positive but slower revenue growth. While rising disposable incomes and steady consumer spending will support demand, providers won’t enjoy pandemic-era surges, limiting companies’ expansion. The aging population will also constrain revenue, as fewer people will need professional attire because of a lower percentage of the population in the workforce. Recent tariff increases by the US on all countries’ imports, starting in April 2025, have stirred economic uncertainty, escalated manufacturing and retail costs and reduced disposable income. This has heightened the risk of recession and would likely dampen demand for designers’ services in 2025 and 2026. Regardless, collaborations with luxury designers and growing inclusivity, such as adaptive and size-inclusive lines, will expand designers’ market reach, with designers who prioritize accessibility benefiting most from evolving consumer expectations. Overall, revenue for fashion designers in the US is forecast to expand at a CAGR of 2.3% over the next five years, reaching $4.9 billion in 2025.

Not all app categories can boast the same degree of user retention on day 30. While news apps were reported in the third quarter of 2024 to have a retention rate of almost 10 percent, social media apps presented less than two percent retention rate after 30 days from install. Entertainment apps presented a three percent installation rate, while a shopping apps had a retention rate of around four percent one month after installation. Before retention: user acquisition Gaining new users is fundamental for the healthy growth of a mobile application, and app developers have an array of tools that can be used to expand their audience. As of the second quarter of 2022, CPI, or cost per install, was the most used pricing model for user acquisition campaigns according to app developers worldwide. The cost of acquiring one new install in North America was of 5.28 U.S. dollars, but driving in-app purchases in the region was more pricey, with a cost of roughly 75 U.S. dollars per user. The future of in-app advertising In recent years, subscriptions and in-app purchases have become more popular app monetization practices, with users finally willing to pay for app premium functionalities and services. In 2020, video ads were reportedly the most expensive type of ads to drive conversions on both iOS and Android apps, while banner ads had a cost per action (CPA) of 36.77 U.S. dollars on iOS, and 10.28 U.S. dollars on Android.

According to the results of a recent survey conducted in the United States, around ** percent of respondents who recently bought skincare stated that they would stay loyal to the same brand as the most recent product they bought. Only ***** percent of participants said that they would mainly purchase other brands.

According to the results of a recent survey conducted in the United States, around 56 percent of respondents who recently bought beauty supplies stated that they would be willing to purchase multiple brands. About nine percent of participants said that they would only purchase the same brand as the most recent product they bought.

During a 2022 survey carried out among consumers who purchased something online in the past six months from various countries across the globe, ** percent stated that a brand would lose their loyalty if it delivered a non-personalized experience. A year earlier, the share stood at ** percent.

The global loyalty management market amounted to ***** billion U.S. dollars in 2024. Furthermore, it was projected to surpass **** billion dollars by the end of 2032.

According to a 2023 survey among consumers in the United States, ** percent of respondents among Generation Z and Millennials stated that loyalty or rewards programs impacted their decision to continue doing business with a brand. This share was ** percent among Gen X and Baby Boomers. On average, loyalty programs influenced buying decisions for nearly ***** out of 10 U.S. consumers.

The annual total number of customers who switched their current bank account provider in the United Kingdom (UK) fluctuated significantly over the years between 2012 and 2024, with an overall decreasing trend until 2022. After 2022, however, account switches increased notably, reaching a record high of 1.32 million in 2024.

The retention rate measures the percentage of users who continue to use an app after having downloaded it. According to a 2022 study, hospitality and tourism apps had a ** percent average retention over 90 days that year. Meanwhile, the average annual retention rate of this kind of apps was ** percent in 2022.

According to the source, in the first quarter of 2023, Amazon Prime had a 30-day trial after which 72 percent of users subscribed to the service. The conversion rate has increased, as it was 67 percent in the same period of 2022. Moreover, 97 percent of Amazon Prime members renewed their membership for a year, and 99 percent renewed it for a second year over the first three months of 2023.