CUSO

Introduction 

The credit union industry faces a critical challenge in attracting and retaining younger generations, Millennials and Gen Z. These demographics, born between the early 1980s and late 2000s, have unique values, expectations, and behaviors that require tailored strategies. This white paper explores the factors influencing their financial decisions and presents actionable insights for credit unions to effectively engage with these younger members. 

Understanding Millennials and Gen Z 

Millennials and Gen Z are digital natives who grew up in a technology-driven world. They prioritize convenience, personalization, and transparency in their financial12941645669?profile=RESIZE_710x relationships. Unlike previous generations, they are more likely to seek financial advice from online sources and are less trusting of traditional financial institutions. Gen Z's spending is expected to grow sixfold by 2030, making them a crucial demographic for credit unions to engage. With more Gen Z members moving into higher-paying jobs and big-ticket purchases, the financial needs of this generation are rapidly evolving. A key factor in engaging these demographics is leveraging data effectively. Credit unions must invest in a robust data activation platform to analyze member behavior, preferences, and financial habits. This data-driven approach enables personalized experiences and targeted marketing campaigns. 

Challenges Faced by Credit Unions 

  • Digital Disruption: The rise of fintech companies and mobile banking apps has created a more competitive landscape. Credit unions must adapt to these technological advancements to remain relevant. 
  • Changing Consumer Preferences: Younger generations have different expectations from financial institutions. They value personalized experiences, convenience, and transparent pricing. 
  • Limited Trust: Many Millennials and Gen Z members have a distrust of large corporations, including traditional banks. Approximately 40% of Gen Z members switch financial institutions within a year if their needs are not met. This is significantly higher than Baby Boomers' 4% switching rate. Trust and innovation are key drivers that credit unions must address to retain Gen Z members(CUNA Strategic Services) Credit unions must build trust and demonstrate their commitment to their members' financial well-being. 
  • Lack of Unified Data: The lack of a unified data strategy can hinder credit unions' ability to understand and address the needs of younger members. A data activation platform can help combine data from various sources, providing a comprehensive view of member interactions. 

Effective Strategies for Acquisition 

  • Digital Marketing: Leverage social media, content marketing, and email marketing to reach younger audiences. CivicScience data show that 90% of Gen Z adults aged 18-24 report they use social media.  12941641863?profile=RESIZE_710x
  • Mobile-First Approach: Ensure your website and mobile app are user-friendly, accessible, and optimized for mobile devices. A study found that 81% of Gen Z consumers expect seamless digital experiences, especially through mobile banking apps. This generation prioritizes convenience and ease of use, with 79% citing ease of use as a deciding factor when selecting financial institutions​ (PYMNTS.com). Mobile-first approaches, offering real-time account updates, and intuitive interfaces are critical for attracting and retaining them.​ 
  • Partnerships: Collaborate with other organizations that appeal to younger generations, such as universities, community groups, and local businesses. 
  • Referral Programs: Incentivize existing members to refer their friends and family, tapping into their social networks. 
  • Targeted Promotions: Offer promotions and discounts specifically tailored to the needs and interests of Millennials and Gen Z. With the generation on technology even into the night, as seen in the chart from 99Firms.com, this enhances marketing time and the opportunity to capitalize on reaching the target market of Generation Z.  

Strategies for Retention 

  • Personalized Experiences: Use data analytics to understand individual member needs and preferences and tailor your offerings accordingly. 
  • Financial Literacy and Education Programs: Financial literacy is crucial for Gen Z, with 62% expressing interest in learning more about managing personal finances. Credit unions can capitalize on this by offering financial education tools and apps. Case studies like Diamond Credit Union's partnership with Zogo reveal that engaging educational platforms improve member engagement and retention, especially when paired with rewards programs​. 
  • Community Engagement: Support local initiatives and causes that resonate with younger generations. 
  • Loyalty Programs: Reward members for their loyalty with exclusive rewards, discounts, and benefits. 
  • Feedback Mechanisms: Actively seek feedback from members to identify areas for improvement and address their concerns. 
  • Data-Driven Retention:  Utilize data analytics to identify at-risk members and proactively address their needs. Measure the effectiveness of retention strategies and make fact-based adjustments. Personalization is key to engaging Gen Z, with 75% of Gen Z members saying they expect personalized financial advice and product offerings. Data-driven insights from platforms like data activation tools can help credit unions tailor products to individual preferences and financial habits, improving loyalty and satisfaction​(McKinsey.com). 

The Role of Technology 

  • Mobile Banking: Offer a robust mobile banking app with features like peer-to-peer payments, budgeting tools, and financial education resources. 
  • Data Activation Platform: A data activation platform is essential for extracting insights from member data and driving personalized engagement. 
  • Artificial Intelligence (AI): Utilize AI-powered chatbots to provide personalized customer support and recommendations. 60% of Gen Z prefers interacting with AI chatbots over human representatives for basic banking needs, especially when it leads to faster, more efficient service. AI-driven chatbots can provide personalized recommendations and automate customer service, enhancing the member experience​ (PYMNTS.com). 
  • Biometric Authentication: Offer secure and convenient login options using fingerprint or facial recognition technology. 
  • Open Banking: Embrace open banking initiatives to provide members with greater control over their financial data and access to innovative financial products. 

Additional Articles: 

Case Study of Zogo’s Partnership with Diamond Credit Union 

Key Points from the Case Study: 

  • Gamified Financial Education: Zogo's app uses game mechanics and rewards to make learning about personal finance fun and engaging for young people. 
  • Diamond Credit Union's Goals: The credit union aimed to increase financial literacy among its members, particularly young people, and improve their overall financial health. 
  • Successful Partnership: The collaboration between Zogo and Diamond Credit Union resulted in a successful financial education program that met the needs of young members. 
  • Positive Outcomes: The partnership helped Diamond Credit Union to: 
  • Increase member engagement: Zogo's app's gamified approach makes it more appealing to young members. 
  • Improve financial literacy: Members who used the Zogo app demonstrated improved knowledge of personal finance concepts. 
  • Strengthen member relationships: The program helped Diamond Credit Union build stronger relationships with its younger members. 

 

Credit Unions Look to Connect with Gen Z 

  • The article underscores the increasing importance of attracting Generation Z members to credit unions. While this demographic stands for a significant market with substantial future spending power, credit unions often struggle to meet their evolving financial expectations. Gen Z consumers, renowned for their tech-savviness and brand-agnosticism, prioritize innovative products and services. Many credit unions, however, have not fully adapted their offerings to align with these preferences, leading to potential challenges in keeping and acquiring Gen Z members. Many credit unions are not currently offering the types of innovative features that Gen Z consumers are looking for, which causes credit unions to integrate high-quantity FinTechs into their companies to attract growth.  

Thinking Forward: Making Gen Z the Credit Union Generation 

The article from the Filene Institute offers valuable insights into credit unions seeking to attract and retain Generation Z members. It emphasizes the importance of leveraging member insights to drive business impact. Key takeaways include: 

  • Understanding Gen Z: Credit unions must recognize Gen Z's unique values, preferences, and behaviors, which differ significantly from previous generations. 
  • Prioritizing Innovation: Gen Z expects innovative financial products and services. Credit unions should focus on developing digital-first solutions, personalized experiences, and financial education programs. 
  • Leveraging Data: Utilizing data analytics can help credit unions understand Gen Z members' needs and tailor their offerings accordingly. This data-driven approach can also inform marketing strategies and improve customer service. 
  • Building Relationships: Gen Z values strong relationships with their financial institutions. Credit unions should focus on building trust and providing personalized support. 
  • Embracing Social Responsibility: Gen Z is more socially conscious than previous generations. Credit unions should prove their commitment to social and environmental responsibility. 

By implementing these strategies, credit unions can position themselves as attractive and relevant financial partners for Gen Z, ensuring their long-term success. 

Conclusion 

Attracting and retaining Millennials and Gen Z members requires a proactive and strategic approach. By understanding their unique needs and leveraging technology to enhance the member experience, credit unions can position themselves as trusted financial partners for these younger generations. "In addition to the strategies outlined in this white paper, credit unions must prioritize investing in a data activation platform. By leveraging data-driven insights, credit unions can create personalized experiences, improve member retention, and build stronger relationships with younger generations. Investing in a data activation platform can help your credit union unlock the full potential of personalized engagement. 

 

 

E-mail me when people leave their comments –

You need to be a member of CULytics Community to add comments!

Join CULytics Community

 

advantedge
altair
ibi
arka
trellance
coopfs
dfa
wherescape
alkami
prismacampaigns
marquis
aiq
totex
cnet
datava
aun
cinch
know

Related Post

 

Ad Unit Settings






Ad Url Settings

 

api-lead-approach
the-amazon-lending-experience
executing-advanced-analytics-do-s-and-don-t
lending-transformation-old-vs-new
data-journey-building-strong-analytical-practices
4-step-iterative-process-building-a-relevant-analytics-practice
significant-measures-towards-new-normal
building-a-strong-analytics-practice-recipe-for-success
data-warehouse-evaluation-and-implementation
explainable-ai-trust-and-transparency
forecasting
top-50-members-using-transactional-website-jun-2020
top-50-cus-with-highest-and-lowest-efficiency-june-2020
importance-of-financial-risk-management
secret-sauce-for-long-term-sustainable-business-intelligence-succ
top-pfm-technologies
secret-sauce-for-long-term-sustainable-business-intelligence-succ
top-pfm-technologies
data-warehouse-and-bi-technologies-opportunities-challenges
top-chatbot-technologies
keys-to-building-an-effective-branch-or-atm-network
top-50-credit-unions-with-highest-and-lowest-accounts-per-member
lowest-and-highest-net-income-per-branch
marketing-holy-grail
top-50-most-and-least-delinquent-credit-unions
modern-marketing-technologies
incremental-low-cost-data-driven-wins
power-of-storytelling
the-cost-of-not-investing-in-data-governance
questions-you-should-ask-before-investing-in-data-warehouse
learnings-from-new-data-based-on-auto-loan-pricing
5-questions-you-need-to-ask-before-investing-in-data-governance
digital-marketing-maturity-models-for-credit-unions
marketing-expense-per-member
top-2-reasons-that-are-holding-credit-unions-back-when-they-are-i
using-data-analytics-to-manage-lending-complexity-while-driving-h
5-reasons-your-credit-union-should-invest-in-data-and-digital-now
top-50-most-and-least-efficient-credit-unions
retail-financial-services-outlook-during-covid-19
use-of-operational-analytics-to-mitigate-the-impact-of-covid-19
top-50-credit-unions-based-on-asset-size
cu-peer-comparison-dashboard
cu-peer-benchmark
all-about-machine-learning-engineering
top-web-design-trends
most-important-social-media-marketing-trends
state-of-digital-marketing-maturing-in-credit-unions
top-kpis-for-email-marketing
data-cloud-and-the-digital-transformation-imperative
digital-trinity-and-you
phases-of-financial-industry
analytics-roundtable-workshop
invitation-to-join-digital-transformation-hub
analytics-in-the-credit-union-business
value-of-member-centricity-and-analytics-in-the-growth-of-cus
all-about-membership-analytics
top-fraud-management-technologies
getting-started-with-your-data-analytics-journey
explore-vizualization-for-credit-unions
investment-in-website-personalization-technologies
data-analytics-supporting-cu-s-first-member-philosophy
loyalty-rewards-and-retention-technologies
member-experience-analytics
channel-analytics-and-its-importance
project-portfolio-management-technologies
investment-in-self-service-data-preparation-technologies
self-service-data-preparation-technologies
new-frontier-in-customer-experience-management
role-of-marketing-analytics-in-credit-unions
important-aspects-of-consumer-lending-analytics
kpis-on-website-analytics
journey-towards-bank-less-banking
investment-in-crm-technologies
top-omni-channel-vendors
conversational-banking-solutions
/top-kpis-for-chief-information-officer
mistakes-to-avoid-when-implementing-a-omnichannel-member
top-things-to-consider-when-building-dashboards
making-digital-marketing-more-agile-through-tag-managers
cecl-solution-providers
mistakes-to-avoid-while-implementing-marketing-automation
p2p-payment-integrated-solutions
kpis-for-social-media-tracking
kpis-for-human-resources-management
investment-in-fintechs-should-or-should-not
top-kpis-for-online-banking
investment-in-marketing-automation-technologies
investment-in-e-signature-technologies-should-or-should-not
tips-and-tricks-to-a-successful-bi-program
kpis-for-credit-card-business
kpis-for-digital-marketing
kpis-for-consumer-lending
hot-topics-for-credit-union-data-leaders
kpis-for-debt-collections
kpis-for-finance
website-personalization-tools
data-integration-technologies
robotic-process-automation-tools
why-data-analytics-initiatives-fail
electronic-signature-softwares
data-governance-tools-for-credit-unions
digital-and-mobile-banking-technologies
report-inconsistencies-are-frustrating
is-your-culture-ready-for-data-analytics
three-big-data-myths
turning-transaction-data-into-a-goldmine-a-becu-case-study
call-for-presentation-for-2019-credit-union-analytics-summit-is-n
top-10-keys-to-successful-data-analytics-practice
credit-union-chooses-accountscore-for-open-banking-transaction-da
how-much-do-you-spend-to-serve-a-customer
marketing-automation-technologies-for-credit-union
alexa-ask-first-abilene-fcu-for-my-balance
dataweb-content-management-technologies-for-credit-unions
efficiency-ratio
web-analytics-technologies
data-warehousing-software-for-banks
customer-experience-software
the-best-kept-secret-for-credit-union-data-analytics
mark-sievewright-on-technology-trends
naveen-jain-on-credit-union-analytics-summit-2018
why-analytics-doesn-t-make-a-difference-by-gary-angel
cuas2018-harnessing-the-right-data
build-a-financial-phone-assistant-for-your-credit-union-in-3-step
2018-culytics-analytics-challenge-winner
update-from-naveen
error-resolution
benefits-of-conversational-apps
who-are-your-most-valuable-members-part-1
how-alexa-can-help-your-credit-union
top-10-kpis-for-measuring-retail-channel-performance
how-much-is-too-much-personalization
top-10-kpis-for-measuring-contact-center-efficiency
pressure-on-margins-for-auto-loans-indirect-auto-loans-declining
best-business-intelligence-technologies-for-credit-unions
establishing-a-thriving-data-analytics-practice-is-a-journey
educational-presentations-from-the-2017-axfi-conference
modelling-alternatives-for-cecl-a-deep-future-analytics-study
data-analytics-use-cases-for-credit-unions-infographic
data-analytics-opportunities-in-credit-union-business
loan-application-analytics-with-cufx
machine-learning-delivers-great-consumer-experiences
deep-insights-of-credit-union-members-data-with-machine-learning
web-analytics-reporting-tips-for-credit-unions
big-data-strategy-roadmap-our-data-journey
webinar-framework-for-member-focused-decision-making
too-many-regulations-hurt-credit-union-members
digital-marketing-automation-solutions
online-banking-boom
transformation-transactions-to-relationships
top-dispute-management-technologies
2020-retail-trends
future-of-artificial-intelligence
2020-culytics-summit-attendee-dashboard
repositioning-the-role-of-marketing
marketing-automation-a-step-towards-marketing-transformation
strategic-agility
using-data-to-navigate-through-the-new-normal
digital-transformation-bcu
highest-and-lowest-new-loan-balances-per-branch-as-of-jun-2020
-new-members-ratio-as-of-june-2020
cus-with-highest-and-lowest-loan-grants-per-member-june-2020
self-service-data-preparation-technologies
highest-and-lowest-marketing-expense-per-member-june-2020
the-amazon-lending-experience
api-lead-approach
4-step-iterative-process-building-a-relevant-analytics-practice
data-journey-building-strong-analytical-practices
post-election-the-cu-outlook
most-and-least-delinquent-credit-unions-sept-2020
leveraging-ach-data-to-produce-real-outcomes
member-engagement-scores-benefits
member-engagement-key-to-serve-the-best
story-of-james-an-intelligence-transformation
executive-kpis-the-pulse-of-the-organization
untangling-member-journey
onboarding-strategy-to-deliver-success
the-importance-of-digital-technologies
top-interactive-financial-calculators
using-artificial-intelligence-to-improve-your-productivity
organizational-transformation-to-drive-growth
multi-year-journey-through-data-transformation
top-50-cus-with-the-highest-and-lowest-member-per-branch
digital-transformation-lessons-through-the-eyes-of-a-ceo
organizational-readiness-for-digital-transformation
ruthless-prioritization-to-do-more-to-learn-more-and-to-earn-more
performance-measures-for-digital-services
analytical-maturity-journey-towards-growth
less-is-more-the-necessity-of-focus-for-strategic-success
solving-the-crm-mrm-puzzle
insights-driven-messaging-member-and-product-onboarding
performance-measures-for-marketing
data-insights-that-drive-member-product-innovation
solving-the-crm-mrm-puzzle
the-agility-flywheel-a-strategy-that-never-goes-out-of-the-way
artificial-intelligence-as-a-playing-field-for-credit-unions
performance-measures-for-call-centers
top-automl-technologies
performance-measures-for-lending
building-business-case-for-data-analytics
driving-innovation-and-change
data-analyze-decide-and-create
digital-readiness-important-steps-to-achieve
digital-readiness-important-steps-to-achieve
enabling-credit-unions-with-ai
culytics-virtual-summit-2022-a-resounding-success
culytics-virtual-summit-2022-day-1
digital-banking-roundtable
digital-marketing-roundtable
transformative-lessons-from-a-chief-digital-officer
data-analytics-roundtable-mar-11
rewind-2022-culytics-day-key-highlights
data-analytics-team-roles
data-warehouse-development
data-analytics-team-size
is-your-data-analytics-program-not-delivering-results
active-deposit-management-for-profitable-growth
data-modeling
maximize-your-success-with-2023-CULytics-summit
biggest-opportunities-for-credit-unions
should-ceos-attend-the-culytics-summit
the-cost-of-a-wrong-decision
biggest-roadblocks-in-becoming-data-driven
a-journey-for-all-organizational-maturity-levels
maximize-your-data-analytics-checkup
navigating-the-data-analytics-landscape
improving-data-literacy
why-credit-union-leaders-should-invest-in-their-teams
why-credit-unions-should-not-invest-in-building-predictive-models
why-should-measure-the-success-of-data-analytics-program
cost-of-choosing-the-wrong-data-analytics-technology-stack
why-data-analytics-strategy-focus-on-supply-and-demand-side
kpis-to-measure-the-success-of-data-analytics-program
data-analytics-for-credit-union-branch-heads
data-organizing-principles
top-data-warehouse-storage-technologies
discover-the-hidden-truth-behind-watermelon-kpis
unveiling-the-hidden-dangers-of-cobra-effect-on-kpis
are-you-accurately-interpreting-your-kpi
unmasking-biases-a-guide-to-data-analysis-and-kpi-definition
uncover-the-power-of-proxy-kpis
unraveling-the-hidden-impact-of-sampling-bias-in-credit-unions
bi-department-structure
hidden-impact-of-confirmation-bias-in-credit-unions
getting-executive-attention-for-your-data-analytics-program
uncovering-biases-in-data-preprocessing
navigating-missing-data-in-credit-unions
navigating-sampling-bias-in-cu
unleash-the-power-of-real-time-data-use-cases
how-confirmation-bias-impacts-cus
breaking-down-selection-bias-in-credit-unions
unmasking-reporting-bias
elevate-your-cu-with-data-analytics-expertise
understanding-and-tackling-volunteer-bias-in-credit-unions
time-period-bias-in-credit-union
overcoming-biases-in-credit-unions
embracing-the-future-fast-future-fundamentals-program-equips-cred
unlock-growth-and-efficiency-credit-unions-guide-to-generative-ai
how-better-data-and-behavioral-biometrics-can-help-credit-unions-
harnessing-the-power-of-data-in-credit-unions
leveraging-third-party-data-a-strategic-guide-for-credit-unions
unlocking-member-insights-how-cus-can-leverage-third-party-data
enhancing-customer-experience-through-third-party-data
third-party-data-integration-techniques-and-technologies
the-future-of-lending-third-party-data-role-in-credit-decisioning
how-third-party-information-shapes-cu-strategies
using-data-to-improve-access-to-credit-for-low-income-members
designing-financial-products-for-low-income-members-using-data
measuring-and-enhancing-the-impact-of-support-programs
data-governance-why-selling-internally-is-important
selling-data-governance-in-your-credit-union
building-a-business-case-and-engaging-stakeholders
creating-a-data-governance-roadmap-and-executing-it
measuring-and-demonstrating-the-impact-of-data-governance
sustaining-momentum-keeping-data-governance-a-priority
overcoming-challenges-in-transaction-data-analysis-credit-unions
empowering-members-through-transaction-data
how-credit-unions-leverage-transaction-data-best-practices
unlocking-financial-independence-the-power-of-transaction-data
the-power-of-transaction-data-enrichment
avoid-financial-reputation-and-member-trust-issues
introduction-to-model-risk-management
week-1-mrm-a-practitioner-s-approach
week-2-guide-to-identifying-and-maintaining-models
survey-insights-navigating-mrm-in-credit-unions
week-3-application-of-mrm-insights-to-sound-model-development-eff
unlocking-the-secrets-to-attracting-gen-y-and-z
creating-a-seamless-member-experience-for-gen-y-and-gen-z
data-analytics-maturity-assessment-report
marketing-to-gen-y-and-z-strategies-that-work-for-credit-unions
the-imperative-of-engaging-millennials-and-gen-z
cu-build-lasting-relationships-with-gen-z-financial-literacy
how-social-responsibility-drives-gen-z-membership
loyalty-programs-that-work-keeping-gen-y-and-z-members-engaged
insights-on-engaging-millennials-and-gen-z-at-credit-union
ai-driven-member-experience
streamlining-operations-with-ai
innovation-and-member-inclusion-in-ai-credit-risk-models
ai-risk-management-enhancing-fraud-detection-and-cybersecurity
how-ai-is-transforming-data-analytics-for-credit-union
overcoming-ai-adoption-challenges-in-credit-unions
the-state-of-ai-in-credit-unions-survey-insights
creating-a-culture-of-innovation
building-the-foundation
closing-the-talent-gap
ensuring-data-readiness
navigating-the-roadblocks-ai-and-data-analytics-in-credit-unions