Most B2B businesses measure their onboarding processes against one benchmark: regulatory compliance. Far fewer ask the harder commercial question of how many customers actually complete it.
According to Duna, that distinction carries a significant financial cost. Business onboarding, which encompasses know your customer (KYC) verification, anti-money laundering (AML) checks, and identity and verification (ID&V) processes, is not a back-office administrative function.
Duna recently discussed a key point of why onboarding is a conversion problem.
It is the first substantive touchpoint a business customer has with a product. Every redundant data field, every follow-up request, and every broken verification flow represents a customer that was already won, now quietly walking away.
Organisations that recognise this are not merely improving their compliance infrastructure. They are improving their top line.
The problem extends well beyond sign-up
The industry conversation around onboarding conversion tends to fixate on the initial sign-up flow. This, however, captures only a fraction of the actual challenge.
A business relationship generates numerous touchpoints after initial onboarding: product upgrades, periodic reviews, transaction monitoring alerts, and reboardings prompted by updates to terms of service. Each of these events functions, in practice, as a fresh onboarding with its own completion rate, its own drop-off points, and its own operational overhead. Most organisations have no meaningful visibility into any of them.
Across conversations with executives throughout financial services and regulated industries, a familiar pattern emerges: firms can sometimes articulate their initial conversion rate, but rarely know their reboarding completion rate, their follow-up response rate, or what a single non-response costs the business. Without that baseline, improvement is impossible.
Measurement must come before optimisation.
What causes KYC and KYB drop-off?
Conversion leakage is not random. The same friction points appear with near-universal frequency across onboarding journeys, and most are not the product of regulatory complexity. They are the product of how requirements are presented.
Follow-up loops are the single most common driver of mid-funnel attrition. The typical onboarding flow asks for the minimum upfront and collects supplementary information via follow-up requests. Each of those loops loses approximately 15% of customers who have already submitted, and the effect compounds. A second follow-up loses a further 15% of what remains. The “first-time-right” metric, which refers to gathering everything required in a single pass, is one of the highest-value improvements a compliance team can pursue.
Form design that ignores local context creates a related problem. Asking a German business to supply its “TIN” without localisation or an example will produce incorrect submissions. A Dutch BV and a German GmbH carry different regulatory requirements, and a form designed with neither in mind serves both poorly. The result is not just customer friction but additional support burden, delays, and further follow-up loops.
State management failures compound the issue. Customers who abandon a journey mid-way and return to find they must start from scratch typically do not return at all. The ability to resume precisely where a session was left off, across devices, eliminates this failure mode entirely.
Collaboration bottlenecks are a friction point particular to business onboarding. Unlike consumer flows, onboarding a company typically involves multiple parties, including ultimate beneficial owners (UBOs), legal representatives, and signatories, each required to contribute information or provide sign-off. Flows routed through a single login, with no mechanism to involve additional parties, create delays and drop-off at precisely the moment when customer engagement is highest.
Pre-fill remains the most underused lever available. Customers are routinely asked to supply information that could be retrieved automatically from company registries or populated from existing CRM data. Internal data suggests that 50% of follow-up queries from compliance teams relate to fields that were not pre-populated. In markets where pre-population is deployed, follow-up rates on those same fields fall to near zero.
What good onboarding actually looks like
The gap between a poor onboarding experience and a strong one is rarely a question of technology investment. It is a question of design principles applied consistently.
Adaptive journeys collect only what is relevant to the specific customer, covering their country, legal form, and business type. Dynamic question logic reduces the total number of inputs required and narrows the scope for errors.
First-time-right collection means conducting the risk assessment while the customer is still within the interface, not after submission. If additional information is required, it is requested within the same session, eliminating the follow-up loop rather than managing it.
Multiplayer facilitation treats business onboarding as the multi-party process it genuinely is. UBOs and legal representatives receive direct, private invitations to submit their portion of the required information. The coordinating party, whether a relationship manager or compliance officer, maintains visibility over what has and has not been provided, rather than chasing progress through email threads.
Smart re-engagement surfaces customers who have dropped off and reaches them through the appropriate channel at the right moment. Testing indicates that reminders delivered via SMS and WhatsApp outperform email for re-engagement, particularly among mobile-first customer segments, with well-targeted reminders typically delivering a lift of three to five percentage points.
Where AI reshapes the equation
The principles above describe what well-designed onboarding looks like today. Artificial intelligence will accelerate several of them and introduce capabilities not yet in widespread use.
Pre-fill will extend beyond registry data. Rather than populating only what appears in official company records, AI systems will be able to draw on a business’s public web presence, including its website, filings, and news coverage, to complete significant portions of an onboarding journey before a customer has typed a single character. For businesses that have previously onboarded with any institution on a shared network, information already verified elsewhere reduces a new onboarding to a consent action rather than a data-collection exercise.
Fraud considerations will also reshape identity verification. As synthetic identity fraud grows more sophisticated, reliance on document uploads will give way to biometric checks, mobile push notifications, and multi-party verification flows. Onboarding journeys not designed for this will require substantial rearchitecting.
The trajectory is consistent: fewer steps, more intelligence, faster decisions. The companies building towards this are not treating it as a compliance project. They are treating it as a commercial one.
The lifetime value connection
Conversion rate is the most commonly cited metric in this context. It is not the most important one.
Customers consistently find, and portfolio-level data supports, that faster, smoother onboarding does not only increase the share of customers who complete the process. It changes how those customers behave once they are on the other side. Improvements to onboarding journeys have been shown to raise total customer lifetime value (LTV) across a portfolio, not only for high-intent customers, but structurally, across the board.
The mechanism is psychological. A business that begins using a product within 24 hours of applying is in a fundamentally different state to one that waited a week for a decision. The latter has had time to explore alternatives. In markets where the underlying product is commoditised, covering payments, lending, and embedded finance, the experience of getting started is frequently the differentiator. Businesses that do not receive a decision within 24 hours activate at materially lower rates.
Compliance built for speed is compliance built for growth. Organisations that treat onboarding as a revenue function, rather than a regulatory obligation, find that the economics of both improve.
The practical starting point
Visibility must precede optimisation. Before completion rates can be improved, they must first be measured by stage, by journey type, and by the proportion of follow-up requests that end in abandonment rather than a submitted document.
Most organisations have simply not chosen to measure this.
In business onboarding, a five-percentage-point improvement in completion rate shows up on the revenue line.
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