Policyholder information in 2026: targeting only works when the choice is clear

Since 1 July 2026, health insurers have been able to send policyholders targeted information about lower-cost medical services, suitable special forms of insurance and preventive measures. The commercial opportunity is obvious. The operational questions matter more: which data make a message relevant, who approves it, how should its limits be explained, and what proves that the policyholder still has an informed choice? This analysis treats targeted information as a service journey, not a volume campaign. It starts with one use case, defines the criteria, compares messages, sets up measurement and specifies when to stop. The first purchase offered to an insurer or specialist partner is a scoping workshop followed by a limited pilot. It may be commissioned quickly, but its economics and compliance still need to be confirmed. getfishnet provides neither medical advice nor coverage decisions. Its potential role is to identify a professional audience, test a useful proposition and measure actions that actually occur. General analysis updated on 7 August 2026. It does not replace the rules of compulsory health insurance, clinical responsibilities or data-protection obligations.

Since 1 July 2026, insurers may send targeted information about lower-cost medical services, suitable special forms of insurance or preventive measures. This option follows an amendment to the Health Insurance Supervision Ordinance. It permits insurers to provide information; it creates neither a medical obligation nor an automatic change in coverage.

The Federal Council adopted the amendment on 5 June 2026 as part of measures intended to curb rising costs. The Federal Office of Public Health identifies three families of information. Each offers a different benefit and requires its own evidence and clear ownership.

The operating model must distinguish general information, personalisation and advice. The more sensitive the selection data, or the stronger the recommendation, the more exacting the governance must be. Regulatory permission does not make every use proportionate.

Starting with the available data encourages a search for something to sell or change. Starting with the use case forces the team to name the problem, the benefit for the policyholder and the intended action. Data are then used only when they are necessary, relevant and compatible with the applicable governance.

A useful use case fits into one sentence: tell a clearly defined group about an accessible preventive option, or explain an insurance model at a genuine decision point. It specifies exclusions, duration and ownership. If the benefit cannot be described without jargon or pressure, the case is not ready.

Scoping must also consider unintended effects: confusion, a sense of being monitored, foregoing necessary care or overloading customer service. These risks do not require all information to stop. They shape the design and determine the stopping criteria.

The first purchase is a scoping workshop followed by a pilot limited to one use case, one segment, one message and one period. It delivers the criteria, approvals, journey, measures and a decision to continue or stop. It promises neither healthcare savings nor a change in behaviour.

The partner brings together insurance, legal, data-protection and customer-service teams, with clinical expertise where required. It maps the data source, selection rule, content, channel, response route and escalation. A small set of test scenarios exposes ambiguity before anything is sent.

Price, capacity, approvals and timing are set during scoping against the chosen use case and the partner’s available expertise. Acquisition must not begin without an appropriate clinical or legal owner for the case, a response route and a way to monitor complaints.

Explainable targeting uses a small number of criteria, each linked to the stated benefit and approved by the responsible owners. It avoids opaque categories and provides a straightforward way to request an explanation or stop receiving the message where applicable. A probability must never be treated as though it were a diagnosis.

The selection should be tested for false positives and omissions. Someone may meet a criterion without finding the information useful; someone else may need the service without appearing in the data. The campaign must remain an invitation, not a concealed decision.

The message should explain why the information was sent, the benefit being considered, the applicable conditions, the available alternatives and where to get help. It separates established fact from estimation. It uses neither fear nor artificial urgency, and never suggests that necessary care will be refused if the recipient does not respond.

The content depends on the use case. A lower-cost service requires a clear comparison; an insurance model requires consequences and conditions; a preventive measure must retain its clinical limitations. The channel should provide a durable reference and a suitable response route.

How to read the diagram. Measurement follows a free action and a working response process. A question is a quality signal, not noise to be filtered out.

Measurement distinguishes delivery, understanding, action, benefit and adverse effects. A click shows that somebody opened a link; it proves neither a saving, preventive impact nor a suitable choice. The programme should track questions, opt-outs, complaints and possible differences between groups, then assign responsibility for the decision to continue.

Indicators are set before the pilot. They include deliverability, understanding within a sample, the action selected, customer-service workload and complaints. Clinical or economic outcomes are used only when the method and accountabilities support them.

The campaign may stop if the message creates more confusion than value, if the segment proves unstable or if response capacity is insufficient. Stopping is not a commercial failure. It protects policyholders and prevents an unvalidated assumption from being applied more widely.

The pool includes health insurers, prevention providers, care networks and technology partners able to build a compliant service. Relevant events include the rule taking effect, the launch of an insurance model, a prevention campaign or a new offer. Outreach targets institutional decision-makers and never contacts policyholders on behalf of an insurer that has not appointed it.

This is a recent, date-specific opportunity. It permits targeted information but does not guarantee that every insurer will commission support. Priority goes to organisations with a defined use case, owner, population and response capacity.

The insurance and broking market page connects this analysis with distribution duties and contractual journeys. Content explains the issue, professional networks establish trust and direct outreach offers a bounded workshop. Potential savings to the healthcare system are never counted as getfishnet revenue.

Scaling requires the criteria, messages, controls and response routes to have been tested in a pilot. Expansion proceeds in batches and retains a control group where appropriate. A change in data, benefit or population reopens validation. Automation must never freeze an assumption that is no longer accurate.

An ongoing engagement is justified when every new use case, segment or message goes through validation and measurement. The partner may maintain the programme and review its rules. The relationship is not based on sending messages continuously, but on successive decisions whose value and limits remain visible.

Revenue is measured through paid workshops, pilots and review cycles, not the number of messages sent or assumed savings. The authoritative sources used are the FOPH, the Health Insurance Supervision Ordinance and the Federal Council communications of 5 June 2026. They provide no response rate, price or clinical outcome.

The complimentary eligibility check examines your use case, acquisition challenge, accountable owners and response capacity. It does not validate medical or insurance advice. Its purpose is to establish whether getfishnet and your team can build a tailored strategy that is useful to policyholders and measurable for the organisation.