Roy Morgan New Zealand Customer Satisfaction Awards 2026 Webinar
Join Roy Morgan CEO Michele Levine to discover:
- Who has won Roy Morgan New Zealand's Customer Satisfaction Awards for 2026 as voted by New Zealanders?
- Who has won the Best of the Best Award that goes to the brand that achieved the highest customer satisfaction rating of all winners?
- Which industries are leading the way in customer satisfaction?
These awards honour the businesses that provide their customers with industry-leading levels of satisfaction throughout the year. For the 2026 awards, over 6,000 New Zealanders were asked to rate their satisfaction with brands and service providers across 25 industry categories.
In this webinar, Michele will present the following Awards:
- Car Manufacturer of the Year
- Major Bank of the Year
- Bank of the Year
- Major Insurer of the Year
- Insurer of the Year
- Auto Store of the Year
- Clothing Store of the Year
- Coffee Shop of the Year
- Department Store of the Year
- Furniture/Electrical Store of the Year
- Hardware Store of the Year
- Book/Stationery Store of the Year
- Sports Store of the Year
- Chemist/Pharmacy of the Year
- Online Store of the Year
- Shoe Store of the Year
- Quick Service Restaurant of the Year
- Supermarket of the Year
- International Airline of the Year
- Domestic Airline of the Year
- Internet Service Provider of the Year
- Mobile Phone Service Provider of the Year
- Mobile Handset Provider of the Year
- Electricity Provider of the Year
- Gas Provider of the Year
Visit the Roy Morgan Customer Satisfaction Awards website. This website monitors the ongoing movements in Customer Satisfaction for many businesses across different industries.
Margin of Error
The margin of error to be allowed for in any estimate depends mainly on the number of interviews on which it is based. Margin of error gives indications of the likely range within which estimates would be 95% likely to fall, expressed as the number of percentage points above or below the actual estimate. Allowance for design effects (such as stratification and weighting) should be made as appropriate.
| Sample Size | Percentage Estimate |
| 40% – 60% | 25% or 75% | 10% or 90% | 5% or 95% | |
| 1,000 | ±3.0 | ±2.7 | ±1.9 | ±1.3 |
| 5,000 | ±1.4 | ±1.2 | ±0.8 | ±0.6 |
| 7,500 | ±1.1 | ±1.0 | ±0.7 | ±0.5 |
| 10,000 | ±1.0 | ±0.9 | ±0.6 | ±0.4 |
| 20,000 | ±0.7 | ±0.6 | ±0.4 | ±0.3 |
| 50,000 | ±0.4 | ±0.4 | ±0.3 | ±0.2 |
