74% of credit consumers are dissatisfied with their current credit card experience, posing an imminent risk of attrition or account closure. And with many consumers holding multiple cards, the struggle for financial institutions to push their card to top-of-wallet is even harder.
So, how do you successfully engage these dissatisfied, multiple-cardholding-customers before they close their accounts with you or lean on another institution?
The answer lies in a strategic framework that utilizes personalization, frictionless CLO architecture, lifecycle marketing, and real-time measurement. These strategies can increase transaction frequency, decrease attrition rates, and create a path for your card to be top-of-wallet.
A Strategic Framework for Cardholder Engagement
In this next section, we’ll discuss the three pillars for increasing cardholder engagement: relevance & personalization, transaction segmentation, and behavioral trigger-based engagement. We’ll also discuss why following these three pillars is important and how to carry each one out.
Pillar 1: Relevance & Personalization
In the financial services industry, rewards are table stakes. To stand out and increase customer satisfaction, financial institutions need to personalize their rewards.
Consider personalizing rewards with the cardholder’s name, next milestone progress, the specific reward amount they earned, and merchant/category details. You should also prioritize:
- Tone of communication. Match it to the type of reward earned. For example, messaging should be celebratory for rewards earned, aspiration for offers to-be-earned, and urgent for limited-time offers.
- A/B testing. Create several versions of eye-catching subject lines, call-to-action wording — even those with emojis for younger consumers and test them against each other. You might also test visual versus text formatting for specific pieces of communication, always keeping the reader’s demographics in mind.
Transactional Segmentation
Transactional segmentation reveals how consumers financially interact with your product and is typically analyzed with the Recency, Frequency, Monetary Value (RFM) analysis technique.
This type of segmentation groups customers based on how recently they made a purchase, how often they buy, and how much they spend, which allows you to align rewards and offers with existing behavior — something 71% of consumers expect companies to do.
Certain cash back rewards platforms, like Kard, also share your cardholder’s merchant preferences, which lets you create targeted rewards. If you continue to offer a cardholder rewards to their favorite stores which they frequent often, it’s likely their spending at this merchant will increase.
With all this data at your fingertips, you can send:
- Frequency-based offers based on how often a cardholder spends
- Value-based based on a cardholder’s basket size
- Category-based based on the types of items a consumer tends to spend on
Because they’re personalized, these frameworks reduce churn and offer waste.
A Note on Security in Personalization
Ensuring GDPR/CCPA-compliant first-party data use and transparent consent management is critical, especially as consumers grow increasingly concerned about the use of their data. Look for platforms that allow you to personalize credit card experiences without violating their privacy, increases trust among cardholders, and can increase opt-in rates for offers and communication.
Behavioral Trigger-Based Engagement
Behavioral trigger-based engagement is a marketing approach where specific cardholder action — or inaction — automatically triggers personalized communications. This type of engagement is based on specific consumer transactions and is typically always “on,” allowing fintechs and financial institutions to better understand their customers which, in turn, allows for better engagement with them.
In a study in the Journal of Financial Services Marketing, behavioral trigger-based engagement contributed to a 20-30% rise in consumer engagement because marketers engaged with individuals with the right messaging at the right time.
As you’re thinking about trigger-based engagement, keep in mind that:
1. Certain Triggers Have Different Potential for Engagement
Common triggers include card activation milestones, first transactions, spending thresholds, dormancy signals, and category pattern shifts — and they all spur specific customer behavior. For example, just because a cardholder activates their credit card or debit card doesn’t mean they’ll make a purchase. To nudge them toward doing so, send them an email or push notification letting them know about the cash back offers available to them.
2. You Need to Optimize Your Timing
Real-time triggers should be used for high-value moments that can benefit from immediacy, like first-time transactions, birthdays, and national celebrations and holidays.
They can also push people to act. Imagine a cardholder who hasn’t made a purchase in 30 days. Your system notices this and automatically sends them a rewards offer to re-engage them.
That being said, batch processing, which doesn’t create instant rewards, has its advantages, too. It reaches consumers on a consistent basis and data processors don’t always need to be on, which saves resources.
Pillar 2: Deliver Value (Continuously)
Rewards by themselves don’t do all the magic of establishing consumer spending habits. They need to actually be valuable to users otherwise they won’t use them. If a user is a big spender at a coffee chain, but you offer them a rewards to a smoothie place though they rarely make any smoothie purchases, the user likely won’t use the reward. In some cases, bad or misaligned rewards can even turn users away from using your card.
Offering rewards that are personally valuable to each cardholder helps ensure that your card remains top-of-wallet.
To be the card a user reaches for, you can:
Optimize Offer Structure & Timing
Cascading offers encourage customers to purchase. A study found that one-time buyers were likely to make a purchase when rewards offers were presented in descending order of value (e.g., 15% cash back on first purchase, 10% cash back on second purchase, 5% cash back on third purchase). These cascading offers yielded 25% more revenue than ascending cascading offers.
These offers should be followed up with real-time triggers that confirm immediate receipt of rewards or ones that unlock new rewards.
Additionally, the timing of rewards needs to be strategic. To maintain users consistently engaged, you should communicate rewards available to them on a consistent basis, either through weekly digests, monthly rewards summaries, or quarterly personalized recaps.
Similarly, these communications should be deployed in a timely manner. Is cardholder X a morning person? If so, send them an email or push notification alerting them of an available reward first thing in the morning. Sending messaging based on cardholder behavior and first-party data optimizes communication resources and increases the chances that users will spend.
Send More Offer Notifications
Communication is key. And in the digital era, there are many forms of notifications to choose from. How do you decide which to use?
- Push notifications are great for immediacy, time-sensitive offers, short messages, and when you want a user to quickly engage with a reward.
- Emails are best used for longer messages with specific details that are not as time-sensitive, lower open rates, and persistent engagement. Monthly recaps work great in this format.
- SMS notifications are good for concise messages and tend to have high open rates. They’re best for high-value milestones.
- In-app notifications offer full customizability so that a user receives a full brand experience even upon reward notification, unlike push notifications which have a standard look across a device. These help increase contextual discovery.
Pillar 3: Data-Driven Optimization
First-party transaction data provides banks with granular insights into consumer behavior across engagement channels and spending categories. This level of detail helps banks target their ad spend more effectively and in a more personalized way. The problem, as we discussed earlier, is that most financial institutions don’t have a comprehensive first-party dataset.
A robust card-linked offer platform like Kard marries transactions directly to consumer behavior, revealing:
- Who your audience actually is
- How big their average order is
- When they usually spend money (seasonality)
- How often come back after using a card-linked offer
…while still upholding privacy compliance. Access to purchase data insights helps you identify and adapt your offers (and other marketing strategies) to changing consumer behavior, ultimately stretching your ad budgets further.
Using first-party data and segmentation in A/B testing can be a great way to determine what customers most respond to. Use of first-party data allows for more personalized interactions with consumers.
And this data is even more powerful when used after segmenting cardholders. You can tailor your messaging to each segmented group based on the first-party data you gathered. So now, for example, you can send a rewards offer for coffee to Gen Z 20 year olds whom (thanks to the first-party data) you know drink coffee on a consistent basis.
Customers tend to respond to offers that are in-line with their purchase history and personalized to them. With rewards available virtually at every institution, it’s important to have a well-rounded network of merchants, especially popular ones that are popular among younger audiences.
Kard is the first independent commerce media network. Using predictive AI and first-party transaction data from millions of Gen Z and Millennial shoppers, Kard powers hyperpersonalized offers that scale customer acquisition. Get started with us today.
A Note on User Experience
It’s easy for your card to take the backseat when other institutions are also trying to reach top-of-wallet status by offering rewards.
As such, rewards should be both personalized and delivered automatically in order to keep customers engaged and excited about your rewards and card.
Additionally, ensure users have instant access to offers to avoid redemption friction. Why should a customer use a card reward that requires manual activation when their other card automatically grants a similar reward upon their transaction?
Lifecycle-Based Engagement Tactics: From Acquisition to Retention
Acquisition Stage - Compelling Value Proposition Communication
One of the most overlooked ways to enhance cardholder engagement is what happens before the card even arrives. The window between application and first swipe is where engagement momentum is either built—or lost.
Emphasize the Benefits That Actually Drive Engagement
Banks often list card features, but cardholders respond to simple, tangible value. During the application and onboarding process, focus on answering one core question: “Why should I use this card first?”
Key messages to reinforce:
- Cash back or points structure: Clearly explain how rewards are earned (e.g., “3% on groceries, 2% on gas, 1% everywhere else”).
- Top earning categories: Call out categories that align with everyday spend to make value feel immediate.
- Ease of redemption: Highlight how simple it is to redeem rewards (statement credit, real-time redemption, no minimums).
- No annual fee (if applicable): This reduces perceived risk and increases activation intent.
- Competitive advantages: Faster rewards, broader acceptance, or better earn rates than competing cards.
Want to know what rewards resonate with Millennial and Gen Z? Here’s what we learned dissecting $3B-worth of transactions.
Use Pre-Delivery Channels to Reinforce Value
Engagement doesn’t start at card activation. High-performing issuers treat the pre-delivery phase as a conversion funnel, not a waiting period.
Effective channels include:
- Application confirmation emails: Reinforce the primary benefit and top earning categories.
- Approval notifications: Restate why the card is a strong choice and what to do first once it arrives.
- Pre-delivery welcome packets or digital guides: Set expectations around rewards, redemption, and first-use incentives.
Each touchpoint should answer:
- What will I earn?
- How quickly will I see value?
- What should I do first?
To measure whether your messaging is working, focus on application-to-activation conversion rate, not just approvals.
- Target benchmark: 80%+ activation within 30 days
- Why it matters: Cards activated within the first three months are more likely to become top-of-wallet and generate sustained spend.
- Optimization lever: Test benefit framing, channel sequencing, and message timing to improve early activation.
Activation & Early Month on Book (EMOB) Strategy
If you’re asking how to improve cardholder engagement, start with the first 30 to 90 days after approval. This Early Month on Book (EMOB) period is when cardholders form usage habits that often persist for years.
During EMOB, cardholders are deciding:
- Which card they’ll reach for first
- Whether the rewards credit and debit cards programs are “worth it”
- If the card fits into their everyday spending behavior
If you miss this window, and even generous rewards or future campaigns struggle to change behavior later.
Effective EMOB tactics include:
- Activation reminders with clear instructions: Simple, benefit-led messaging that explains why to activate now, not just how.
- Welcome bonuses tied to minimum spend: Threshold-based incentives create urgency and repeated usage, not just one swipe.
- Tutorial content on reward maximization: Show cardholders how to earn faster in categories they already spend in.
- First-transaction celebration: A confirmation or “you earned X rewards” moment reinforces positive behavior immediately.
Generic onboarding works—but personalized nudges work better. During EMOB, relevance matters more than volume. Here are some ways to accelerate early customer engagement with EMOB nudges:
- Highlight offers aligned to likely top spending categories (e.g., groceries, dining, gas).
- Show progress tracking toward welcome bonus thresholds (“You’re $120 away from earning 20,000 points”).
- Time nudges around natural spending moments, not arbitrary campaign calendars.
Personalized EMOB journeys consistently accelerate time-to-first-transaction and increase early spend, which strongly correlates with long-term card usage and balances.
Benchmarks to Aim For During EMOB
Results vary by issuer and portfolio, but teams that invest in structured EMOB strategies often target outcomes like:
- Being able to activate a new card faster through personalized reminders and benefit-led messaging
- Driving higher balances after the first statement cycle among early-engaged cardholders
- Improving activation rates by using segmented onboarding journeys rather than one-size-fits-all flows
You’ll come up with your own numbers that are right for your program, but consider these types of metrics a starting point.
Track the KPIs That Actually Predict Engagement
To measure whether your EMOB strategy is improving cardholder engagement, focus on leading indicators—not lagging revenue metrics. Key EMOB KPIs to track:
- Activation rate
- Time-to-first-transaction
- First-month transaction frequency
- Progress toward welcome bonus thresholds
These KPIs tell you early whether your card will become active and sticky—giving you time to intervene before churning occurs.
5 Ways Fintechs Can Sustain Value Delivery
Cardholders disengage when benefits feel abstract or forgotten. The most effective member engagement strategies reinforce value based on real spending behavior, not generic promotions. To sustain value delivery, you could:
- Rotate category-based offers based on customer spending history. For example, if 30% of a cardholder’s spend is dining, prioritize dining offers during peak usage windows like weekends and evenings.
- Celebrate spending milestones by presenting users with rewards after their first transactions, after every $500 spent, or the anniversary of them joining the credit card rewards program. Celebrating milestones reinforces habit formation and strengthens the relationship between the user and institution.
- Remind users of unused benefits. You can trigger reminders contextually (e.g., before travel season or after a high-value electronics purchase).
- Strategically schedule rewards as weekly offers, monthly reward recaps, and quarterly engagement recaps like we’ve previously mentioned.
- Monitor KPIs like monthly active users (MAU), transaction frequency, average order value, and match rate (transactions aligned with offers).
Retention & Reactivation (Proactive Churn Prevention)
Dormancy is predictable if you monitor the right behavioral signals. The goal is to intervene before the card becomes fully forgotten. Key dormancy signals to look out for include:
- No transactions in 30–60 days is a primary indicator of early disengagement.
- Declining transaction frequency, like in a drop from weekly usage to once per month.
- Reduced spend per transaction, which signals partial card displacement rather than reduced overall spending.
You should also intervene with targeted tactics, like:
- Reactivation offers with rewards for categories a user often spends in
- Raised cashback rates for dormant users
- “We miss you” campaigns with incentives specific to each cardholder
- Product upgrade offers for high-value users showing churn signals
Time interventions at:
- 30-day dormancy → use a soft reactivation approach (category offers, reminders)
- 60-90-day dormancy → escalate incentives (cash bonuses, higher rewards rates, etc.)
Reactivation and member retention are crucial, especially as holding onto existing customers is more cost-effective than acquiring new members
Measuring Engagement Success: KPIs and Performance Benchmarks
By now, you know how to better engage with customers. Great! But how do you know if these engagement strategies are actually working? Use the following KPIs and metrics to gauge their efficacy.
Activation & Onboarding Metrics
- Activation rate: Percentage of issued cards with ≥1 transaction within 30 days (target: 80%+, achievable 70% with segmented EMOB)
- Time-to-first-transaction: Days from card receipt to first purchase (target: <7 days, optimized programs achieve 5-day acceleration)
- EMOB transaction frequency: Average transactions per user in first 3 months (benchmark varies by card type and target segment)
- First statement cycle balance: Average spending in first billing cycle (22% higher for personalized programs vs. generic)
Usage & Engagement Metrics
- Match rate: Percentage of transactions aligned with active offers (primary CLO engagement metric; target varies by offer inventory depth)
- Monthly active users: Percentage of cardholders with ≥1 transaction per month (higher indicates sustained engagement)
- Transaction frequency: Average transactions per active user per month (47% higher for rewarded vs. non-rewarded users)
- Offer impression and view events: Leading indicators of engagement before purchase behavior changes materialize
- Redemption rate: Percentage of eligible transactions where rewards earned vs. total transactions
- App engagement: Daily/monthly active app users, session frequency, session duration
Business Impact Metrics
- Transaction volume and value: Total spending on cards, average transaction value, year-over-year growth rates
- Interchange revenue: Net revenue per cardholder, impacted by transaction volume and merchant category mix
- Customer lifetime value (CLV): Projected revenue over cardholder tenure (71% higher for engaged users)
- Attrition and retention rates: Percentage of cardholders remaining active vs. dormant/churned (94.4% retention for real-time reward redeemers vs. 80.9% non-redeemers)
- Incremental lift: Spending increase attributed to engagement programs (rewarded vs. non-rewarded cohort comparison)
Implementation Roadmap: Launching Your Engagement Strategy
Time for launch! Now that you know which engagement strategies to use and how to measure whether they’re working, it’s time to implement your strategies. Below are three phases you should follow to execute your strategies.
Phase 1 - Foundation
If you’re asking how to improve cardholder engagement, Phase 1 is about proving value fast—without overengineering. Many FI marketing teams chase perfect coverage or advanced personalization before cardholders ever experience a reason to engage. Instead:
- Quickly select and integrate the right platform. Here are some good questions to ask in your evaluation.
- Offer inventory development that includes national and local merchants, especially in categories that match daily purchases like gas, grocery, and dining
- Launch with a baseline segmentation strategy, a notification framework setup, and KPI dashboard configuration that tracks if cardholders are using their card more because of your new engagement strategies
- Start sending offers. After you complete technical integration, send offers to the first cohort, and establish baseline and match rates
Phase 2 - Launch & Expansion
This is the point where many financial institutions either accelerate or stall. Execution speed and willingness to learn from real data instead of planning hypotheticals differentiates successful institutions from unsuccessful ones.
- Execute actions: Enroll the full cardholder base (opt-out vs. opt-in), activate multi-channel notification, deploy lifecycle-based engagement tactics, and initiate an A/B testing program (e.g., copy against dollar amounts, rewards thresholds, etc.).
- Build momentum: Celebrate early wins (e.g., first rewards earned), expand offer categories based on first-party transaction data, and introduce personalized communications.
- Measure KPIs: How many cardholders earned at least one reward? Did you see measurable increases in transaction frequency? What about higher match rates as spending increased?
- Avoid analysis paralysis: Iterate based on performance data rather than over-planning for hypothetical scenarios.
Phase 3 - Optimization & Sophistication
By Phase 3, the question is no longer how to improve cardholder engagement—it’s how to make that engagement scalable, long-lasting and profitable. To improve your chances:
- Shift to advanced segmentation that drives revenue based on behavioral categorical spending, user value-based markers (spend tiers and CLV), and personalized rewards recommendations.
- Track and achieve maturity indicators: engagement growth across quarters, proven ROI documentation, internal best practices established.
- Measure key success criteria: Top-of-wallet positioning should be in place for target segments, engagement rates should be sustainable (not one-time lifts), CLV should’ve increased, and attrition rates should have fallen.
- Commit to continuous improvement by conducting monthly performance reviews, quarterly strategy refinements, and annual program assessments.
Taking the next steps
Keeping cardholders engaged is crucial for any institution’s longevity. You now know which strategies to use to improve engagement, how to measure whether these approaches are working, and how to launch your new strategies.
Thankfully, you don’t need to do all this alone.
Kard's flexible, API-first platform makes it easy to offer differentiated rewards that compete with the biggest banks and loyalty programs. And by linking brand exposure directly to verified online and in-store purchases, Kard can prove incremental impact at scale.
Frequently Asked Questions About Cardholder Engagement
What engagement metrics should we prioritize when launching a card-linked offer program?
When launching a card-linked offer (CLO) program, the most important engagement metrics are the ones that predict revenue impact early. Start with improving your match rate (transactions aligned with offers), activation rate (percentage earning ≥1 reward), and transaction frequency changes (rewarded vs. non-rewarded cohorts). These leading indicators predict business outcomes like interchange revenue and CLV. Target 50%+ cardholder engagement (≥1 reward earned) within the first 3 months, with match rates improving as offer inventory expands.
How do we justify the ROI of engagement programs to executive leadership?
To justify the ROI of cardholder engagement programs to executive leadership, you need to tie engagement directly to revenue, cost control, and long-term customer value — not just marketing activity. More specifically:
- Use performance-based payment models aligning costs with outcomes.
- Track incremental transaction volume and interchange revenue from rewarded vs. non-rewarded cohorts.
- Document engagement metric improvements (activation rates, match rates, transaction frequency).
- Calculate CLV increases from reduced attrition. Typical well-executed programs show positive ROI within 6-9 months, with benefits compounding as engagement habits form.
What data privacy and compliance considerations should we address?
You should address the following critical data privacy from the onset of your cardholder engagement development plan.
- Ensure your offer platform is GDPR and CCPA compliant with proper consent management and data handling.
- Use first-party transaction data only.
- Implement PCI-DSS compliant data security.
- Provide clear opt-in/opt-out mechanisms for notifications and data usage.
- Communicate transparently about how transaction data powers personalized offers.
- Create a privacy-first architecture.
How can small and mid-size issuers compete with major banks’ rewards programs?
Small and mid-size issuers don’t need to outspend major banks to win on cardholder engagement — they need to out-execute on relevance, speed, and customer experience. For credit unions, community banks, fintechs, and regional issuers, the most effective strategy is to deliver everyday value that feels personal and effortless. Here’s how smaller issuers can compete and win against major banks’ rewards:
- Partner with commerce media platforms providing merchant network access without requiring direct merchant relationships.
- Focus on relevance and personalization rather than matching big banks' cashback percentages. Offering cardholders a personalized experience is important.
- Emphasize frictionless redemption and local merchant variety (major banks often focus only on national brands).
- Use API-first platforms enabling rapid testing and optimization without large IT teams. Performance-based pricing models reduce upfront investment risk for smaller issuers.
What's the difference between offer impression events and match rate, and why does it matter?
Impression events measure offer visibility (how many times cardholders saw offers in app/notifications). Match rate, on the other hand, measures actual engagement (percentage of transactions aligned with active offers).
Impressions are leading indicators showing awareness but not necessarily action. Match rate is a lagging indicator proving engagement and predicting business impact. Both matter. Track impressions to optimize discovery and presentation, track match rate to measure genuine engagement and program ROI.


