Embedded payments for platforms: models, implementation, and what to expect

Every time a user leaves your platform to complete a payment and is redirected to a third-party checkout, a bank portal, or a separate provider, you lose the moment, data, and, increasingly, the user. Embedded payments fix this by bringing the entire transaction inside your product.

The global embedded payment market reached $39.1 billion⁠ in 2025 and is projected to hit $430 billion by 2033, growing at a 35.5% compound annual rate — making it one of the fastest-expanding segments in financial technology. For context on what that means at the platform level: BCG reports that SaaS providers offering integrated payment solutions already account for 36% of SME acquiring revenues, a figure expected to reach 45%⁠ by 2028.

What hasn't kept pace is clarity about exactly how to get there. This guide covers the fundamentals: what embedded payments are, why platforms are adding them now, which model to choose, how implementation works in practice, and what catches teams off-guard as they scale.

What embedded payments actually are (and what they're not)

Embedded payments⁠ are payment capabilities built natively into a non-financial platform, enabling merchants, customers, or sub-accounts to complete transactions without ever leaving the product. The payment experience is branded, contextual, and part of the workflow, not a detour out of it.

That's different from simply integrating a payment gateway or adding a payment link. In a gateway integration, the user is typically redirected to a third-party checkout page. The processor controls the experience, the data stays with the processor, and the platform earns little or nothing from the transaction. Embedded payments allow the platform to control all of that.

It's also worth separating embedded payments from embedded finance, which is the broader category. Embedded finance includes payments, lending, insurance, and banking services integrated into non-financial products.

In practice, embedded payments look different depending on the platform type:

• Payment service providers (PSPs) or independent sales organisations (ISOs) building a merchant-facing portal accept transactions across card networks, alternative payment methods, and local schemes, route them based on cost and approval rates, and reconcile settlements in a single white-label dashboard under their own brand.
• iGaming platforms that process player deposits, manage withdrawal requests, and route payouts across multiple local payment methods within the operator's interface, without redirecting players to external providers.
• Crypto exchanges or fintech apps handling fiat on-ramps, conversion flows, and wallet top-ups natively, keeping the financial journey inside the product rather than handing off to a third-party checkout.
• B2B e-commerce marketplaces that manage buyer payments, hold funds in escrow until delivery is confirmed, and split payouts to multiple sellers without routing any of those flows through external rails.

What these have in common is that payments are woven into the core user journey.

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Benefits of embedded payments

Three things drive the decision, and all three compound over time.

New, recurring revenue line

When payments run through the platform, it earns a transaction margin. Under a referral model, that's a small residual. Under a PayFac-as-a-Service structure, the platform controls pricing and captures meaningful margin on every transaction. A platform processing €10 million annually at a 1% net margin earns €100,000 in payment revenue that would otherwise be surrendered to a processor. That number scales directly with GMV.

Revenue isn't the only metric that shifts. BCG's 2025 research found that platforms with embedded payments retain customers at 2.5 times⁠ the rate of those without, and merchants on those platforms adopt 18% more value-added services.

Retention that compounds

When a user's payments, payouts, reconciliation, and reporting all live within the platform, switching costs rise substantially. They're not just moving software — they're migrating their payment history, their merchant relationships, and their operational workflows. The platforms that didn't embed payments early are now competing against those that did, and the stickiness gap is measurable.

Product completeness

Any workflow gap that forces users outside the platform is a risk. If a fintech app manages account dashboards and transaction history but routes top-ups through a separate provider, every handoff breaks the seamless experience the product was built to deliver. If a B2B marketplace manages listings and order flows but sends buyers to an external checkout for settlement⁠, the seam shows. The platform that closes that gap takes both the workflow and the payment relationship; the one that leaves it open hands both to whoever fills it.

Checkout abandonment data makes the cost concrete — Dynamic Yield tracked a cart abandonment rate of 77%⁠ across 200 million monthly users in 2025, with mobile abandonment exceeding 80%. Removing the redirect removes the single largest structural cause of drop-off.

The counterargument is real: embedding payments takes engineering time, introduces compliance obligations, and requires operational support. But the cost of inaction compounds with every transaction that leaves the platform. Each one is a margin, data, and relationship that the platform permanently surrenders.

Three models for adding embedded payments to a platform

The model a platform chooses determines how much of the upside it captures and how much operational complexity it takes on. There are three primary structures, and the decision should be matched to current scale, team capacity, and risk tolerance rather than to the maximum possible outcome.

Model 1: Referral/integrated payments

The platform connects users to a payment processor and receives a referral fee per transaction. Integration is light, often a few API calls or a pre-built SDK, and the processor owns everything: merchant underwriting, compliance, support, and the customer relationship.

The tradeoff is control. The processor sets the pricing, handles disputes on its own terms, and retains the merchant data. Revenue share is typically thin: a platform processing €50 million annually under a referral model may earn only 5 to 15 basis points, where the same volume under a PayFac structure could generate 5 to 10 times more.

This model works well as a starting point for early-stage platforms, low payment volumes, or teams with no dedicated payments resource.

Model 2: PayFac-as-a-Service

The platform partners with a PayFac-as-a-Service⁠ (PFaaS) provider and white-labels the payment experience. The provider handles underwriting, compliance, risk management, and settlement infrastructure. The platform controls merchant onboarding flows, the UX, and pricing to its merchants, and earns a meaningful revenue share from every transaction processed.

This is the most common entry point for scaling platforms. It delivers the commercial benefits of being a payment facilitator⁠ without requiring the platform to register with card networks, build underwriting operations, or assume direct liability for fraud. The dependency is on the PFaaS partner's infrastructure and the terms of the commercial agreement, so partner selection matters significantly.

Key variables to assess: which markets and payment methods the partner supports, how white-label onboarding can be, the revenue-share structure, and whether the partner's infrastructure can scale with the platform's growth trajectory.

Model 3: Full PayFac

The platform registers directly with card networks and acquiring banks as a PayFac, maintaining sub-merchant accounts for all its merchants. It owns the entire payment relationship, including underwriting, compliance, settlement, dispute resolution, and customer support, as well as the full economics.

This model suits large-volume platforms with internal payments teams and the operational capacity to sustain it. The investment is significant: licensing, infrastructure, compliance staffing, and ongoing regulatory obligations. It makes commercial sense when payment volume is high, the use case is low-risk and sticky, or when full control over the merchant experience is a genuine product requirement.

Most platforms start at Model 2 and graduate to Model 3 as volume and team capacity warrant it.

How to add embedded payments: the 7-step implementation path

These are the seven steps that determine whether the outcome is a clean payment product or a technical debt problem.

Step 1: Define your payment scope

Start by mapping every payment flow the platform needs to support. Accepting payments from end customers, splitting funds across multiple merchants, paying out to sub-accounts, managing recurring billing, and handling refunds and disputes — each introduces distinct infrastructure requirements. A platform that processes simple checkout payments needs a different architecture from one managing multi-party fund flows. Get this wrong, and you'll have to redesign it under load.

Step 2: Choose your model

Use the framework above. Match the model to current transaction volume, available engineering capacity, and risk tolerance. For most platforms at the scaling stage, PFaaS is the right starting point: meaningful economics, manageable complexity, and a clear path to greater ownership over time.

Step 3: Select a payment partner or infrastructure layer

This step is one of the hardest decisions to reverse. A PSP that works well at $1 million in annual volume may become a bottleneck at $50 million — wrong market coverage, limited payment method support, or a commercial structure that doesn't scale. The integration cost of switching mid-growth is high, so the evaluation needs to account for where the platform is going, not just where it is today.

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Evaluate partners on:

• API-first architecture. A well-documented REST API with sandbox access, webhook support, and clear error handling is the baseline. Poorly designed APIs⁠ create integration debt that surfaces at the worst possible moments during scaling, incidents, or when adding a new payment method. Ask for API documentation before signing anything.
• Market and payment method coverage. Which countries does the partner support natively? Which local payment methods — bank transfers, wallets, real-time schemes — are available? A partner with broad coverage on paper but thin local infrastructure in your key markets creates reliability risk.
• Compliance coverage. What will you handle on your behalf, and what remains the platform's responsibility? This varies significantly by model and geography. Understand where the compliance boundary sits, particularly around PSD2⁠ in Europe, card scheme rules, and AML thresholds, before assuming anything is covered.
• White-labelling depth. How much of the payment experience can be branded? This includes onboarding flows, hosted payment pages, email communications, and dispute notifications. Shallow white-labelling means the partner's brand surfaces to your users at critical moments, undermining the native experience that embedded payments are supposed to create.
• Documentation and developer experience. The quality of documentation serves as a proxy for how seriously a partner takes integrations. Poor documentation leads to slower implementation, more support tickets, and higher engineering costs. Check whether error messages are descriptive, whether the changelog is maintained, and whether there's a responsive technical support channel.
• Commercial scalability. What happens to pricing as volume grows? Are there volume tiers, minimum commitments, or per-method fees that compound? A competitive rate card at low volume can become an expensive structure at scale if it wasn't designed with growth in mind.

Step 4: Design the merchant onboarding flow

Know Your Customer (KYC) and Know Your Business (KYB) checks must happen at the sub-merchant level. The design of this onboarding flow — what information is collected, in what order, and how verification is handled — directly affects both the merchant experience and the platform's risk exposure. Under PFaaS, the provider typically manages the compliance logic while the platform controls the UX; understand exactly where that boundary is before building.

Step 5: Handle compliance requirements

PCI DSS scope⁠ depends on how card data flows through the integration. Hosted fields and tokenisation keep most platforms out of scope for the most onerous PCI tiers, but confirm this with your partner before assuming. Local licensing requirements (particularly in Europe under PSD2, or in markets with specific acquiring rules) may apply depending on the model and geography. Anti-Money Laundering (AML) obligations follow transaction volume; plan for them before they arrive.

Step 6: Build reconciliation from day one

A payment integration with no reconciliation layer creates operational debt that compounds at scale. Every transaction needs to be matched against settlements, chargebacks, and refunds in a way that maps to the platform's financial records. Build or integrate this from the start. Retrofitting reconciliation into a live payment stack is significantly more expensive than doing it correctly the first time.

Step 7: Test thoroughly and plan for failure

Use sandbox environments to test the full transaction lifecycle, including declines, network errors, and chargeback scenarios. The failure states matter as much as the happy path. Define what happens when a payment fails mid-flow:

• Does the user see a clear message?
• Does the platform retry automatically?
• Is there a fallback provider?

Failure handling is where most payment integrations are weakest.

Three traps platforms may hit as they scale

These are the operational realities that tend to surface only once volume picks up.

• Margin erosion. Interchange fees ⁠shift, сard network rules change. A pricing structure that made sense at launch can compress margins at scale if it's never revisited. Platforms that set payment pricing once and leave it untouched for years risk turning a strong initial revenue position into a thin one. Build a regular pricing review into operations — a quarterly cadence is reasonable once volume is material.
• Single-provider concentration risk. Routing transactions through a single PSP creates dependency on that provider's uptime, pricing decisions, and geographic coverage. With smart routing across multiple PSPs, platforms can optimise for authorisation rates in specific markets, reduce costs through competition, and avoid single points of failure. This is one of the core functions a payment orchestration layer provides, and it's significantly easier to design in than to add retroactively.
• Compliance creep. What's compliant at launch in one market may need updating as the platform expands geographically, changes its transaction structure, or reaches thresholds that trigger new obligations. Compliance is an ongoing operational function; treat it as a quarterly review.

Key takeaways

Three things to take from this guide:

• The referral model is a starting point, not a destination. PFaaS delivers real economics and a branded experience without requiring you to become a PayFac.
• Implementation decisions compound. Scope payments correctly, build reconciliation from day one, and design for failure, not just for the happy path.
• Margin, concentration risk, and compliance creep are the scale-up problems. Plan for them in the architecture.

If you're at the stage of evaluating models, shortlisting partners, or thinking through what your payment stack should look like at scale, we'd be glad to walk you through it. Get in touch⁠ and let's talk through your setup.