CUSO
Thriving in Turbulence: Strategic Growth Opportunities for Credit Unions in an Uncertain Economy

Executive Summary

The U.S. economy is showing signs of stress in 2025 - tariff-related volatility, high interest rates, and persistent inflation have made consumers cautious and credit unions more operationally strained. According to the Federal Reserve, consumer credit card debt has surpassed $1.13 trillion (about $3,500 per person in the US), while personal savings rates remain below pre-pandemic levels. As a result, members are holding back on borrowing and spending, directly impacting credit union growth strategies.

This white paper offers practical strategies to grow during economic slowdowns - re-engaging hesitant members, improving operational productivity, and using cross-sell strategies that build trust instead of pressure. These strategies are made possible when credit unions activate the data they already have - turning it into insight, timing, and action.

 

Understanding the Current Landscape

In 2024, credit union membership grew just 2.8%, a slowdown from the 4.1% growth in 2022. Loan growth has been similarly moderate - expected to hit 6% in 2025, up from 3% in 2024 but still well below the 10-year average of 7%.

Meanwhile, the cost of funds has doubled since 2022, and delinquency rates on consumer loans have reached 0.81% - the highest since 2011. These headwinds are forcing credit unions to reallocate resources and reconsider traditional growth strategies.

 

Member Engagement in a Spending Slowdown

Research shows that during economic downturns, consumers reduce discretionary spending by up to 25% and delay financial commitments such as auto loans and home equity lines in this climate, personalized engagement matters more than ever - but only when it is grounded in member behavior and actual needs.

Credit unions that monitor transactional behavior, account dormancy, or digital activity patterns can identify subtle shifts signaling disengagement. For example:

By using tools that detect these signals and trigger timely, relevant outreach, credit unions can keep members engaged - without pushing unnecessary products.

 

Cross-Sell Tactics That Build Trust

Cross-selling in today’s economy must be data-driven, not pressure-driven. According to McKinsey, consumers are 3.5x more likely to accept financial offers when they feel tailored to their specific life circumstances. However, only 16% of financial institutions feel confident in their ability to personalize offers at a certain scale.

The opportunity is clear: use internal data to identify not just who might benefit from a product but when they are most likely to say yes. Consider:

When implemented responsibly, smart cross-sell strategies help members improve their financial well-being - and keep your credit union top of mind during uncertain times.

 

Productivity Where It Matters Most

Labor efficiency is one of the clearest paths to stability and growth in lean environments. A study by Cornerstone Advisors found that the average credit union employee spends 19% of their time manually compiling reports, checking siloed systems, or managing duplicate data.

Reallocating even 5–10% of that time can produce a major impact. For example:

By streamlining reporting, aligning incentives to real goals, and equipping teams with the right data, credit unions can stretch every minute further - without compromising service.

 

Rethinking Growth: A Strategic Shift

Despite efforts, many credit unions have failed to meet long-term growth goals. According to a 2023 NCUA benchmarking study, only 41% of federally insured credit unions increased their total market share over the prior two years. And with FinTech’s expanding into lending and savings products, the pressure to differentiate has never been higher.

Data activation and strategic agility are no longer optional - they are essential. Whether it is proactively retaining members, deploying staff where they make the most impact, or aligning campaigns to the economy’s rhythm, credit unions must lean into their core differentiators: community knowledge, trust, and member-first values.

 

The Datava Difference:

Member Engagement When Money Is Tight

Datava’s platform is designed to activate your data in real-time. With members becoming more cautious about spending or investing, our technology helps identify subtle behavior shifts - like increased balance holding or changes in transactional frequency - signals an opportunity for re-engagement.

We help credit unions deliver:

  • Highly personalized messaging for relevant products at the right time
  • Behavior-based automation to reduce marketing waste
  • Smart segmentation to match low-cost services to member needs.

Even in economic slowdowns, we have helped clients like American Heritage Credit Union grow. During the COVID-19 pandemic, AMH leveraged Datava to launch proactive campaigns, shift member conversations digitally, and optimize staff workflows - resulting in billion-dollar growth when many were stagnating.

 

Cross-Selling in a Conservative Economy

In an economy where upselling can feel tone-deaf, Datava helps your teams cross-sell responsibly - with data-informed conversations that actually meet members where they are. Our platform supports:

  • Product-fit modeling for high-probability opportunities
  • Real-time prompts for frontline staff during interactions
  • Visual dashboards to track which campaigns are moving the needle.

By focusing on need-based cross-selling over aggressive pitches, credit unions can drive engagement and loyalty - even when wallets are tight.

 

Every Minute Counts: Raising Staff Productivity

With leaner teams and tighter budgets, efficiency is essential. Datava was built to reduce time spent on manual reports, disjointed systems, and reactive workflows. Instead, we enable:

  • Single-pane-of-glass interfaces for faster decision-making
  • Automated task tracking and incentive alignment
  • A library of prebuilt reports and dashboards to reduce onboarding time and accelerate results.

 

Final Thought

Credit unions do not need to sit on the sidelines during this economic cycle. With the right tools and insights, they can engage more meaningfully, operate more efficiently, and grow with intention. By leveraging data and focusing on prompt member needs, the most forward-thinking institutions will lead the industry into its next chapter - no matter the economic climate. If your credit union is ready to grow with greater intention, we would welcome a conversation. Connect with us at datava.com/contact or email us at hello@datava.com to learn more.

 

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
measuring-the-impact-of-analytics
best-practices-for-operationalizing-analytics-across-departments
addressing-common-barriers-translating-data-insights-into-action
establishing-data-driven-new-year-resolutions-for-credit-unions
benchmarking-success-how-cus-can-achieve-data-driven-goals
integrating-analytics-into-strategic-planning-a-guide-for-cu
understanding-data-literacy-in-credit-unions
shaping-the-future-insights-from-the-2025-data-driven-strategies
challenges-in-building-a-data-literate-culture-in-credit-unions
tools-strategies-to-improve-data-literacy-in-credit-unions
the-silent-risk-data-access-controls-in-credit-unions
building-genai-on-secure-foundations-a-cu-leader-s-guide