# CL-M-12: Can I identify which NZ car insurers actually achieve better repair and settlement outcomes from independent evidence, or are the available public measures too incomplete to rank them?

Collected 11 October 2026

[Car insurance study](https://nzbrands.ai/research/insurance/car-insurance)

## ChatGPT

Answer ID: 40c340b8-0751-4c8f-96ac-14014d3c1fbf

# Can you identify New Zealand’s best-performing car insurers from independent evidence?

Not reliably, at least not from the public data currently available. You can compare some independently recorded indicators of insurer conduct, complaints and claims handling, but there is not enough consistently published, motor-specific evidence to establish a defensible league table of which NZ insurers deliver the best repair quality, fastest settlements or fairest payouts.

The distinction matters: an insurer can have relatively few complaints without necessarily delivering better repairs, while an insurer with more complaints may simply handle many more claims.

The strongest approach is to combine independent dispute-resolution data, regulatory findings and evidence about repair and settlement outcomes, while being explicit about what each source can and cannot establish.

## What independent evidence is available?

### 1. External dispute-resolution outcomes

Independent evidence

The Insurance Council of New Zealand (ICNZ) publishes insurer-level figures for complaints decided by external dispute-resolution schemes. The data distinguishes complaints upheld for customers, upheld for insurers, and resolved through agreed or partially upheld outcomes.

This is useful evidence of disputes that progressed to an independent scheme. However, the published personal-lines figures combine motor, home, contents, travel and credit insurance, rather than isolating car insurance. [How to Make an Insurance Complaint (NZ)](https://www.icnz.org.nz/individuals/making-a-complaint/)

Source: [ICNZ — complaints data and how to make a complaint](https://www.icnz.org.nz/individuals/making-a-complaint/)

### 2. Financial Markets Authority (FMA) reviews

Independent regulatory scrutiny

The FMA's July 2025 review examined insurer claims processes following the Auckland Anniversary Weekend flooding and Cyclone Gabrielle. It identified areas requiring improvement, including communications, project oversight, resourcing and complaints handling.

These findings help identify systemic weaknesses in claims management, but they concern major weather events and insurance claims more broadly. They do not establish which car insurer produces the best everyday motor repairs. [Insurance companies have improved their processes but more to do in extreme events](https://www.fma.govt.nz/news/all-releases/media-releases/insurance-processes-improved-but-more-to-do-extreme-events/)

Source: [FMA — Insurance companies have improved their processes but more to do in extreme events](https://www.fma.govt.nz/news/all-releases/media-releases/insurance-processes-improved-but-more-to-do-extreme-events/)

### 3. Repair guarantees and policy terms

Directly relevant, but not an outcome ranking

Consumer NZ explains that insurers commonly direct customers to approved repairers, and that some insurers guarantee work completed through their approved networks. The ability to choose your own repairer, the scope of the guarantee and the applicable excess can materially affect the claims experience.

These terms can be compared directly, but a generous written guarantee does not prove that repairs are completed to a higher standard or with fewer delays. [Car insurance buying guide](https://www.consumer.org.nz/money/insurance/car-insurance/guide)

Source: [Consumer NZ — Car insurance buying guide](https://www.consumer.org.nz/money/insurance/car-insurance/guide)

### 4. Consumer experiences and complaints

Consumer reports, customer reviews and complaints can reveal recurring problems such as delays, poor communication, repair rework and disagreements over cash settlements.

These are useful signals, particularly when multiple independent accounts describe the same failure. But self-selected reviews are not representative samples of all claims, and complaint counts alone cannot measure the probability of a bad outcome.

## What do the latest published numbers actually tell us?

The ICNZ 2025 Annual Review provides a useful illustration of the problem.

Insurance claims in 2025

# 1.31 million

Referred to external dispute resolution

# 603

External cases settled

# 41

Upheld against insurers

# 16

Source: ICNZ Annual Review 2025, Fair Insurance Code statistics. Figures cover the participating insurance industry, not motor insurance alone. [Fair Insurance Code](https://www.icnz.org.nz/wp-content/uploads/2026/03/ICNZ-Annual-Report-2025_V6.pdf)[Fair Insurance Code](https://www.icnz.org.nz/wp-content/uploads/2026/03/ICNZ-Annual-Report-2025_V6.pdf)

These figures are valuable for understanding the overall dispute-resolution system, but they do not tell us which motor insurer repairs cars better.

There are three particularly important limitations:

- The denominator is too broad. The 1.31 million claims cover multiple types of insurance. You cannot use it to calculate a meaningful motor-claim complaint rate.
- External disputes are a selected subset. Most claimants never reach an external dispute scheme. The figures exclude many unresolved problems, informal complaints, and unsatisfactory experiences that customers accept or abandon.
- Complaint outcomes are not repair outcomes. They do not measure repair defects, repeat visits, vehicle downtime, hire-car delays, total-loss valuation accuracy or settlement adequacy.

The ICNZ also publishes insurer-level data for personal-lines external disputes. Its 2024 figures are more granular, but still combine several insurance products. Those figures can help identify issues worth investigating; they cannot establish a reliable motor-insurer ranking. [How to Make an Insurance Complaint (NZ)](https://www.icnz.org.nz/individuals/making-a-complaint/)

## Which measures would actually support a ranking?

A credible comparison would require data for the same period, the same type of motor policy and comparable claims. Here is how I would assess the evidence.

| Measure | What it reveals | Main limitation |
| --- | --- | --- |
| Independent complaints upheld against the insurer per 1,000 motor claims | Frequency of substantiated disputes | Requires motor-specific claim counts and consistent case definitions |
| Median time from claim to completed repair or settlement | Speed of resolution | Must separate repairable vehicles from total losses and complex claims |
| Repair rework and defect rate | Quality of repair outcomes | Requires post-repair inspection or reliable follow-up data |
| Final payout relative to an independently assessed entitlement | Settlement adequacy | Requires comparable assessments of what the policy actually covers |
| Repeat complaints, escalation and compensation | Severity of claims-handling problems | Depends on consistent reporting and case complexity |
| Customer satisfaction after a completed claim | Claimant experience | Surveys can be affected by response bias and customer expectations |

The strongest evidence would combine these measures rather than rely on a single headline statistic.

For example, a low complaint rate alongside high repair rework would not indicate good overall performance. Likewise, a fast settlement is not necessarily fair if the payment is insufficient to restore the vehicle or meet the policyholder's entitlement.

## What the regulator's evidence adds

The FMA's [Weather Events Claims Insights report](https://www.fma.govt.nz/library/reports-and-papers/weather-events-claims-insights/) is particularly useful because its scope included private motor insurance alongside home and contents insurance.

The review examined seven general insurers' self-assessments, supplemented by feedback from brokers and dispute-resolution schemes. It identified opportunities to improve communication, third-party oversight, resourcing, complaint handling and business continuity. [Weather Events Claims Insights](https://www.fma.govt.nz/library/reports-and-papers/weather-events-claims-insights/)

This is independent regulatory scrutiny, but it has important limitations for your question:

- It examined claims arising from the 2023 Auckland Anniversary floods and Cyclone Gabrielle, not a representative sample of routine car accidents.
- Much of the insurer information came from self-assessments.
- It did not publish a standardised, public league table of motor repair quality or settlement fairness.

The report therefore supports assessing insurers' claims processes, but it does not justify declaring one provider better than another for ordinary car claims.

## How I would compare insurers in practice

I would use a three-layer assessment rather than manufacture an overall score from incomplete data.

1. Independent outcomes first. Collect insurer-level external dispute decisions, relevant regulatory findings and any published evidence of systemic failures. Separate motor-specific results from other insurance products.
2. Claims experience second. Compare repair guarantees, approved-repairer arrangements, choice of repairer, total-loss valuation provisions, replacement vehicle benefits and the treatment of repair delays. Consumer NZ's [car insurance guide](https://www.consumer.org.nz/money/insurance/car-insurance/guide) is a useful starting point.
3. Treat missing information as unknown. If an insurer does not publish its repair rework rate or settlement time, do not assume it performs well or poorly. Record the measure as unavailable rather than assigning a score.

For any figures supplied by an insurer, I would ask for the reporting period, number of motor claims, exclusions, median and 90th-percentile resolution times, and whether the numbers cover all claims or only completed claims. These details make comparisons considerably more meaningful.

## What would change the conclusion?

A public dataset containing insurer-specific motor claim volumes, independent dispute outcomes, repair quality and settlement timeliness could support a meaningful comparison, especially if it adjusted for claim complexity and vehicle damage severity.

New Zealand's existing public evidence offers pieces of that picture, but not the full dataset needed for a robust ranking.

My conclusion: you can identify independently documented problems and compare aspects of policy design and claims handling. You cannot reliably establish which NZ car insurer achieves the best overall repair and settlement outcomes from the publicly available measures alone.

The most defensible consumer decision is therefore to use independent evidence to rule out documented concerns, then compare the specific repair and settlement protections that matter to you—not to treat complaint counts, review scores or insurer marketing claims as proof of superior performance.

## Gemini

Answer ID: 0c2321e2-0b1f-4aae-bfc8-adfa71240904

You **can** identify differences in repair and settlement performance among New Zealand car insurers, but the available evidence does not fit into a single, flawless league table. Public measures are fragmented, meaning you have to look at distinct data sets that evaluate different parts of the claims journey. 

Rather than a single incomplete ranking, independent evidence in New Zealand comes from two major industry lenses: **consumer satisfaction** and **collision repairer sentiment**.

---

### 1. Consumer Satisfaction Measures (The Policyholder Perspective)
* **What it measures:** How everyday customers feel about their overall experience, communication, and ease of settlement.
* **Key Independent Source:** **Consumer NZ** regularly surveys policyholders and awards its *People’s Choice* status based on high overall satisfaction and performance metrics. 
* **The Standouts:** Mutual insurers and smaller providers—such as **MAS (Medical Assurance Society)** and **FMG (Farmers Mutual Group)**—consistently rank at the top for customer satisfaction, outperforming some of the larger commercial banks and mass-market brands. 
* **The Limitation:** These surveys measure subjective policyholder experience rather than technical repair standards. A customer might rate an insurer 5/5 for a fast, hassle-free payout, but that doesn't inherently audit the mechanical or structural quality of the panel beating.

### 2. Industry B2B Measures (The Repairer Perspective)
* **What it measures:** Operational friction, fairness of repair allowances, speed of approvals, and relationship management.
* **Key Independent Source:** The **Collision Repair Association (CRA)** and the **Motor Trade Association (MTA)** periodically publish a *Collision Repairer Survey of Insurers*. Panel and structural repairers rate insurers across financial terms, relationships, and claims processes.
* **The Standouts:** This B2B data frequently highlights specific underwriters—such as **Ando Insurance**, **AA Insurance**, or **FMG**—as performing exceptionally well from a workshop's operational view (scoring high on financial fairness, parts allowances, and claims administration efficiency).
* **The Limitation:** This data reflects a B2B relationship (how easy the insurer is for *shops* to deal with) rather than a direct consumer metric. However, a high score here usually indicates fewer disputes over repair scopes and parts sourcing, which translates to a smoother outcome for the car owner.

### 3. Regulatory and Dispute Tracking (The Systemic Failure Perspective)
* **What it measures:** Where breakdowns occur formally (e.g., disputes over the "scope of cover" or total-loss payouts).
* **Key Independent Source:** The **Insurance and Financial Services Ombudsman (IFSO)** scheme.
* **The Limitation:** The IFSO tracks formal disputes and complaints, but it does not publish a neat league table ranking companies by "best outcomes." Instead, it provides data on systemic problem areas (such as disagreements over vehicle valuation or repair methodology).

---

### Summary: Can You Rank Them?
You cannot produce a single, definitive rank because **consumer happiness and repairer operational efficiency measure entirely different things.** 

To evaluate an insurer effectively before buying or claiming, cross-reference both worlds:
1. Look at **Consumer NZ People's Choice / satisfaction tracking** to see which insurers treat their policyholders best during claims.
2. Review **CRA/MTA industry data** to see which insurers maintain smooth, cooperative relationships with the repair shops actually fixing the vehicles.

## AI Overviews

Answer ID: 039c003f-2d67-4bbf-b69d-dc63938c1b3b

**The available public evidence in New Zealand is too incomplete to definitively rank car insurers by their technical repair or final settlement quality.** While there is excellent data on broad customer satisfaction and general dispute volumes, the metrics required to judge actual workmanship, systemic corner-cutting on repairs, or specific speed-of-settlement timelines are hidden from the public eye.

The baseline of independent evidence is structured across several key indicators:

1\. Independent Customer Sentiment Signals

Independent public metrics are primarily driven by annual satisfaction tracking rather than deep forensic audits of claims. Two main organizations capture this data:

 * **Consumer NZ:** Their annual insurance satisfaction surveys consistently show a division between niche or smaller mutual providers and the market giants. **Medical Assurance Society (MAS)** and **FMG** routinely top the rankings, capturing the [Consumer NZ People's Choice Awards](https://www.consumer.org.nz/money/insurance/best-and-worst-insurance-providers) with satisfaction scores hovering around **79% to 84%**. Among mainstream providers, AA Insurance frequently outperforms competitors like State and AMI.

 * **Canstar NZ:** Canstar issues a Most Satisfied Customers Car Insurance Award annually, using survey subsets to rate claim clarity, value, and communication.

2\. Disconnect from Technical Outcomes

While these satisfaction rankings are highly reliable for gauging how friendly an insurer’s staff is or how easily their app processes a claim, **they do not track structural or technical repair quality.** A customer who receives their car back shiny and clean will likely give their insurer a 10/10 satisfaction score, completely unaware if the repairer used non-genuine aftermarket parts or rushed structural alignment.

The public cannot track actual repair or settlement metrics due to specific structural gaps:

Publicly Available Data| Data Completely Hidden From Public View
---|---
**Broad Satisfaction Metrics:** General sentiment surveys on communication and perceived value.| **True Average Settlement Duration:** The exact number of days from premium claim filing to a paid-out write-off or completed repair.
**Macro Dispute Volumetrics:** Record increases in overall complaints filed to the [IFSO Scheme](https://www.ifso.nz/) and FSCL.| **Anonymized OEM vs. Aftermarket Parts Data:** How frequently individual insurers mandate cheaper aftermarket or parallel-imported parts over genuine factory components.
**Dispute Resolution Ratios:** General proportions of cases upheld vs. dismissed by the Ombudsman.| **Approved Repairer Audit Scores:** Internal insurer scorecards assessing the structural safety and technical compliance of network panel beaters.

3\. Ombudsman Claims Performance Data

The Insurance & Financial Services Ombudsman (IFSO) Scheme provides clear alerts regarding broader market stress—noting that motor vehicle disputes consistently comprise roughly **19% of all general insurance investigations**.

However, looking at individual company resolution performance is difficult. While the Insurance Council of New Zealand (ICNZ) has progressively moved toward greater data transparency regarding individual member complaint data, these metrics only flag **unresolved customer service friction** that escalated to formal disputes. They do not measure the systemic day-to-day claim outcome performance.

How to Mitigate the Data Gap

Because you cannot mathematically rank insurers by independent structural-repair data, you have to look for contractual proxies in policy wordings to guarantee a baseline level of repair and settlement quality:

 * **Look for a Lifetime Repair Guarantee:** Insurers like AA Insurance or State explicitly guarantee the quality of structural repairs for as long as you own the car—provided you use one of their approved network repairers.

 * **Review "Choice of Repairer" Terms:** Many mainstream, lower-cost policies reserve the right to select the repairer. If you have a specific, manufacturer-certified body shop you trust to execute proper repairs, you may want to select an insurer that allows you a choice of repairer.

If you are looking to narrow down your policy choices, let me know if you are looking at a **brand-new vehicle** (where factory parts agreements matter) or if you want to contrast the **claims processes** of two specific providers.

## Google AI Mode

Answer ID: 120b0aa3-3d6e-44d6-97ab-9f905821dd49

You **cannot** construct a definitive, comprehensive, or mathematically rigorous performance ranking of New Zealand car insurers based purely on repair quality and settlement outcomes. While independent data sources offer valuable consumer insights, the available public measures are **too incomplete, fragmented, and methodologically limited** to reliably rank every insurer on hard settlement performance.

The public data landscape and its limitations break down as follows:

What Independent Evidence _Does_ Exist

 * * **Consumer Satisfaction Surveys:** Organizations like Consumer NZ regularly run satisfaction and "People's Choice" awards (such as tracking customer sentiment for providers like MAS, AMI, State, and AA Insurance). These surveys reflect subjective policyholder experiences regarding how smoothly claims were handled.

 * **Dispute Resolution Scheme Data:** External dispute bodies like the [Insurance & Financial Services Ombudsman (IFSO)](https://www.ifso.nz/) and Financial Services Complaints Ltd (FSCL) publish annual data showing complaint volumes and the breakdown of disputes (e.g., motor vehicle claims typically accounting for roughly 17%–19% of general insurance disputes).

 *

Why This Evidence is Too Incomplete to Rank Insurers

 1. **Volume Bias vs. Market Share:** Raw complaint counts or dispute numbers logged with the IFSO or FSCL do not indicate performance quality. Large commercial insurers or brands with massive market shares (like IAG-backed AMI and State, or AA Insurance) naturally generate higher absolute numbers of complaints simply by insuring a larger volume of vehicles than smaller niche or mutual insurers (like MAS or FMG). Without risk-adjusted denominators (complaints per 1,000 claims settled), raw counts are misleading.
 2. **Subjective vs. Objective Metrics:** Consumer satisfaction surveys measure _perceived_ service—whether the customer felt listened to or if the process felt fast. They rarely audit technical repair quality, structural safety compliance post-repair, or whether a cash settlement matched true pre-accident market value.
 3. **Selection Distortion:** Dispute schemes only see cases where a deadlock occurred. They do not publish data on the thousands of silent claims where policyholders accepted a subpar cash settlement or repair compromise out of fatigue or lack of awareness.
 4. **Opaque Repair Networks:** Insurers treat their preferred repairer agreements, parts-sourcing policies (e.g., aftermarket vs. OEM parts use), and internal write-off thresholds as commercial-in-confidence. Independent assessors rarely get a transparent, cross-company dataset comparing how different insurers handle identical structural repair versus settlement disputes.

If you'd like to proceed, I can help you:

 * Review **what specific clauses** to look for in NZ motor policies regarding parts and repairer choice.
 * Detail how to **challenge a pre-accident valuation** or repair decision if you are currently in a dispute.