Explore strategies to reduce waste, improve speed, and optimize your payment card portfolio.
As card program account access becomes more digital, more personalized, and more tightly connected to the overall customer experience, banks, credit unions, and fintechs face an increasingly complex question: Which card personalization model best supports our strategy today and tomorrow?
We’ve identified three distinct personalization pathways—traditional personalization, print-on-demand (POD), and hyper-personalization to align with issuers’ specific operational and strategic needs.
One approach isn’t universally “better”. The right model depends on your customer needs, card portfolio, pace of change, and growth ambitions. For some issuers, a hybrid approach that applies the right type of personalization to different programs or segments within their portfolios can be the ideal option for balancing cost, risk, and flexibility.
Pathway 1: Traditional personalization is built for stability and scale
Traditional personalization remains the foundation of many successful payment card programs, particularly where volume is predictable, and designs are consistent.
In this model, cards are manufactured in bulk using pre-selected materials, finishes, and designs. Once produced, that inventory is owned by the issuer and securely stored until cards are pulled, encoded, and issued—either daily or in batches.
Traditional personalization has a multi-step approach that excels when programs prioritize:
- Predictable issuance volumes
- Specialized materials (such as premium substrates or enhanced finishes)
- Tight control over unit costs
- Consistency across large replacement and reissue volumes
In one use-case example, we’ve recommended traditional personalization to best serve a midsize regional bank issuing thousands of debit and standard credit cards per month. This model thrives when projections are consistent and predictable offering the precision, consistency, and control needed to support a reliable and cost-effective program.
Pathway 2: Print-on-demand offers flexibility without inventory
Print-on-demand (POD) represents a shift in how personalization happens. Instead of preprinted card stock, POD allows issuers to update designs, disclosures, and personalization dynamically immediately prior to production.
Every project begins with a simple, blank white canvas. Using a single data file, multiple card designs, tailored disclosures, and full personalization can be produced—all in line and at high speed.
The defining advantage of POD is agility without inventory risk. Production is managed on the fly, eliminating the need for forecasting and reducing waste from unused stock.
POD is particularly well suited for:
- Multiple design portfolios
- Seasonal or campaign-based cards
- Programs with moderate but variable volumes
- Marketing teams that need creative freedom without long lead times
In another use-case, we’ve found POD the ideal fit for a nationwide issuer managing alumni cards, seasonal prepaid programs, and rotating designs. POD excels with portfolios that refresh frequently. This way, you can change designs often, pair each card with the correct disclosures, and avoid inventory management altogether.
Pathway 3: Hyper-Personalization — Real-Time, One-to-One at Scale
Hyper-personalization takes POD a step further by collapsing manufacturing and personalization into a single, real-time workflow. In this model, card packages are created and personalized together—without stock, forecasting, or pre-planning.
With hyper-personalization, the card packages are manufactured and personalized in a single workflow path. No stock, no forecasting, and virtually unlimited design.
This approach is powered by digitized program assets, automated scheduling, and dynamic data—making it ideal for tech-native, API-driven environments where speed and experimentation are critical.
Hyper-personalization is best suited for:
- Fintechs and digital-first issuers
- One-to-one, card-level personalization
- Rapid go-to-market strategies
- Programs where forecasting is difficult or impossible
In a fintech use case, each card can act as its own micro-campaign, generating artwork, messaging, and terms at the individual level. It reduces operational risk and lets you introduce or retire programs in real time.
Choosing the Right Personalization Path Depends on Your Destination
One of the most valuable takeaways for issuers is the emphasis on contextual decision-making. No single model fits every program or even every product within a portfolio. What’s important is finding the right fit for customer needs and the issuer business strategy.
The decision framework (shown below) can help issuers determine which path is best for them. We’ve highlighted seven key drivers: Design volatility, portfolio complexity, volume predictability, inventory tolerance, speed-to-market, budget sensitivity, and personalization depth.
Start with a portfolio audit, map products to the model that best supports them, and pilot POD or hyper-personalization with new programs requiring marketing, digital-first users and partner ecosystems. Set KPIs to validate performance and build a future-state roadmap so you can pivot as your needs evolve.
As personalization becomes a strategic lever—not just an operational step—issuers that align their personalization pathways with business goals will be best positioned to deliver relevance, efficiency, and differentiation well into 2026 and beyond.
For more recommendations, watch the full webinar or contact a personalization expert.
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