Click, Buy, Covered: How Embedded Insurance is Rewriting Distribution

Innovation in insurance is increasingly being driven by the growth of embedded products. Rather than competing directly with established carriers, many technology businesses are building the “digital rails” that allow insurance to be woven into non‑insurance customer journeys.

For insurers seeking new distribution models, access to richer data, and ways to modernise legacy systems without full‑scale transformation programmes, embedded insurance is becoming difficult to ignore. At the same time, these models raise regulatory, governance and strategic questions that need to be addressed at the outset.

Embedded insurance: distribution at the point of need

Embedded insurance refers to the integration of cover directly into non‑insurance customer interactions. Instead of requiring customers to search for and purchase insurance separately, protection is offered at the moment it becomes relevant.

Familiar examples include:

• a customer booking travel online and being offered travel insurance at checkout;
• a shopper buying a smartphone and being prompted to add device protection; or
• a ride‑sharing platform including accident or liability cover for drivers and passengers directly in the app.

In each case, the insurance product is secondary to the customer’s main activity. From the customer’s perspective this can streamline the purchase process: the product is presented at the point of need with minimal additional effort required.

For insurers, this represents a fundamentally different distribution model. Rather than relying on brokers, agents or direct‑to‑consumer marketing, insurers partner with platforms that already manage large volumes of customer interactions. These include e‑commerce marketplaces, fintech apps, travel sites, mobility services, property portals and SaaS providers used by SMEs. With extensive user bases and detailed behavioural data, these platforms can become powerful distribution partners.

Commercially, the benefits are clear. Embedded models can increase policy uptake by presenting cover where the risk is obvious and front‑of‑mind and they can provide access to customer segments that might otherwise be costly or difficult to reach.

However, these arrangements change the dynamics between insurers, intermediaries and technology partners. Platform operators often influence how cover is presented, what information is shown and how the digital journey is designed. From a regulatory perspective, this raises questions about whether the platform is merely introducing customers or is, in substance, carrying out regulated distribution activities.

In the UK, careful analysis is needed to determine whether a platform requires FCA authorisation, should be brought within an appointed representative arrangement, or can operate under another distribution model. Whatever structure is adopted, responsibilities between insurers and platforms must be clearly defined and documented, particularly given the increasing regulatory focus on oversight of third‑party distributors and their role in delivering good customer outcomes.

Data and product design in embedded ecosystems

A defining feature of embedded insurance is the depth of data generated by, and held within, digital platforms. These platforms typically maintain rich datasets on customer behaviour, purchasing patterns and risk indicators, which insurers can use to improve underwriting and risk selection, refine pricing models and design more tailored, context‑specific products.

The nature of this data varies by platform. A mobility provider may track driving patterns, trip frequency and vehicle usage. An e‑commerce marketplace may have detailed insight into product types, purchase values and return behaviour. A property platform might hold granular information on property characteristics, occupancy and maintenance history.

Taken together, this kind of contextual data enables insurers to build highly targeted products that align closely with the underlying activity and risk profile. In principle, that should support more accurate pricing and more relevant cover for customers.

At the same time, governance and customer outcome expectations need to be addressed:

• Algorithmic pricing and automated underwriting tools require robust model governance, documentation and oversight to ensure they deliver fair value and do not produce unintended biases or outcomes.
• Fast‑moving digital journeys must still provide customers with sufficient information to make informed decisions, rather than simply maximising conversion. The timing, format and prominence of disclosures become critical.

These considerations are particularly important under the UK Consumer Duty, which emphasises fair value, customer understanding and effective oversight of distribution chains. Insurers will need to evidence that embedded journeys support good outcomes, not just sales volumes.

Strategic considerations for insurers

Several strategic questions arise for insurers looking at embedded models, and many of them are closely connected.

First is distribution strategy and partnerships. Embedded models can significantly extend reach, but they also create dependencies on platforms that own the primary customer relationship. Insurers need to think about how partnerships are structured, including commercial terms and access to data, how far their brand remains visible when the platform controls the front end, and how they will meet product governance and distribution requirements when sales take place within a third‑party flow.

Data governance and contractual frameworks are equally important. Embedded partnerships usually involve extensive data sharing or access, and sit against a specific data protection backdrop in the UK. Insurers need a clear view of the respective roles of insurers, platforms and infrastructure providers – in many cases each will be processing personal data for their own purposes, so it is critical to distinguish where parties are acting as controllers, joint controllers or processors. That analysis should drive the contractual framework, including data‑sharing agreements or data‑processing terms that meet UK GDPR requirements, and contracts should deal expressly with data use, IP, model ownership, security, audit rights and any cross‑border transfers.

Firms also need to think carefully about transparency and lawful basis: customers should be given clear information about who is using their data, for what purposes (for example, underwriting, pricing, fraud prevention or marketing), and how long it will be kept. Where data is used for profiling or automated decision‑making, including algorithmic pricing, insurers should be mindful of the additional safeguards under UK GDPR. Given how critical these relationships can become, service levels, change management and exit provisions also need close attention, as does the use of appropriate transfer mechanisms and risk assessments where embedded distribution involves data being accessed or processed outside the UK.

These developments also prompt a rethink of the insurer’s position in the value chain. In embedded ecosystems, customer loyalty often sits with the platform rather than the insurer. Insurers may effectively become product manufacturers, with distribution and customer engagement handled by partners. That raises questions about how the insurer’s brand will be differentiated, whether it will retain sufficient access to customer and performance data, and the longer‑term risk of being displaced if a platform changes partner or brings more activity in‑house.

Finally, there is the legal and regulatory complexity. Embedded arrangements can be challenging from a regulatory standpoint, requiring a clear understanding of the platform’s role in marketing, arranging and concluding contracts, as well as how remuneration is structured and where conflicts of interest might arise. Responsibilities for disclosures, complaints, renewals and claims handling need to be allocated and documented. For cross‑border groups, these issues are compounded by differing local rules on distribution, licensing and consumer protection, so implementing embedded models across multiple jurisdictions requires careful planning and coordination.

Looking ahead

Despite the challenges, the direction of travel is clear. Embedded offerings are reshaping how insurance products are sold and experienced by customers. Digital platforms are likely to continue expanding their role as distribution channels, and insurers that can integrate effectively into these ecosystems will be well placed to access new segments and new data.

The key for insurers will be to engage proactively: building the regulatory, governance and technological foundations needed to participate in embedded models at scale, while maintaining control over customer outcomes and data. Those that do so can use embedded distribution not only to extend reach, but also to refine products, increase relevance and deepen their understanding of risk.

For further information on any of the topics raised, please contact the authors or your usual Freshfields contact.