November 17, 2005

New Roy Morgan Readership Service – Introducing the “Top 1%” Readership Survey

Finding No: 3935

Roy Morgan Research launches its new Readership Service — the ‘Roy Morgan “Top 1%” Readership Survey’. The “Top 1%” are the most senior Executives and Directors (defined as those individuals in the top six occupation classes - Chairman/Managing Director, Other Director, Owner/Partner/Proprietor, General Manager, Member of Management Board/Executive Committee, Company Accountant/Treasurer/Company Secretary) and earning $120,000 or more per annum, who comprise 1% of the Australian population.

Please find below the first Media Release based on this data.

Newspapers on the way out? Not for the 166,000 Australians who comprise the “Top 1%” of the population

The “Top 1%” of the market— some 166,000 Australians who are the most senior Executives and Directors, and earning $120,000 or more per annum - are seen as crucial to the success of newspapers. In an exclusive analysis of the readership behaviour of over 1,000 of the “Top 1%” of the population, the ‘Roy Morgan“Top 1%” Readership Survey’ shows high levels of newspaper readership - and that at the “Top 1%” newspaper readership is even higher among “Heavy Internet Users”.

An average weekday issue of the Financial Review, which tops the list, is read by an estimated 41,000 of the “Top 1%”, while on Friday the Financial Review is read by 46,000, and 53,000 read at least one issue of the publication in an “average” week.

While weekday reading of the Financial Review among the “Top 1%” is well above that of The Australian (41,000 cf 18,000), weekend editions of each paper shows the reverse — 27,000 of the “Top 1%” read The Weekend Australian, compared with 19,000 for the weekend edition of the Financial Review.

The Sydney Morning Herald has a Monday-Friday “average issue” readership of 33,000 of the “Top 1%”, Saturday readership of 41,000 and Sunday readership of 33,000, bringing the net Monday-Sunday readership to 55,000, almost double that of the Daily Telegraph (net Monday-Sunday readership of 30,000).

In Melbourne, The Age attracts a Monday-Friday “average issue” readership of 19,000 of the “Top 1%” compared to 14,000 for the Herald Sun. Saturday readership of The Age is also higher than that of the Herald Sun amongst this group (23,000 compared with 13,000). However, readership of the Sunday Age and the Sunday Herald Sun is about the same (16,000 compared with 15,000).

Table 1. Readership of Major Newspapers by Day of the Week

M-F Average Issue

Readership

M-F

Read any Issue
M-S ~

Read any Issue
DAY-BY-DAY READERSHIP
M Tu W Th F Sa Su
Financial Review 41,000 53,000 58,000 39,000 39,000 40,000 39,000 46,000 19,000 N/A
Sydney Morning Herald 33,000 39,000 55,000 34,000 33,000 32,000 31,000 34,000 41,000 33,000*
Age 19,000 23,000 27,000 18,000 20,000 18,000 20,000 20,000 23,000 16,000#
Australian 18,000 26,000 38,000 17,000 17,000 18,000 20,000 21,000 27,000 N/A
Herald Sun 14,000 17,000 22,000 14,000 13,000 14,000 13,000 15,000 13,000 15,000+
Daily Telegraph 14,000 17,000 30,000 13,000 14,000 13,000 13,000 15,000 10,000 21,000^

~Indicates Monday to Saturday reading for the Financial Review and The Australian, and Monday to Sunday reading for all other titles listed.
*Sunday Sun Herald. #Sunday Age. +Sunday Herald Sun. ^Sunday Telegraph.

So what impact, if any, is the Internet having on the readership behaviour of this key group of Australians? Not only is the Internet not replacing readership of newspapers, those in the “Top 1%” who are also “Heavy Internet Users” (use the Internet 8+ times per week — 55% of the“Top 1%”) are actually more likely to be readers of all of the major dailies, most Newspaper Inserted Magazines and most Business Magazines. Thirty-four percent of “Heavy Internet Users” in the “Top 1%” read the Financial Review, 22% read The Sydney Morning Herald, 16% read The Age and 12% read The Australian.

Table 2. M-F Average Issue Readership of Major Newspapers by Internet Usage

M-F Average Issue Readership
Total “Top 1%” “Top 1%”
 

(Number)

 

(%)

Heavy Internet Users

(%)

Others

(%)

Australian Financial Review 41,000 24 34 13
Sydney Morning Herald 33,000 20 22 18
The Age 19,000 12 16 6
The Australian 18,000 11 12 9
Herald Sun 14,000 8 9 7
Daily Telegraph 14,000 8 9 7

Table 3. Average Issue Readership of Weekend Newspapers by Internet Usage

Average Issue Readership
Total “Top 1%” “Top 1%”
 

(Number)

 

(%)

Heavy Internet Users

(%)

Others

(%)

Saturday Sydney Morning Herald 41,000 25 27 23
Sunday Sun-Herald 33,000 20 24 16
The Weekend Australian 27,000 16 18 14
The Saturday Age 23,000 14 16 11
Sunday Telegraph 21,000 13 15 10
Weekend Financial Review 19,000 11 15 7
The Sunday Age 16,000 10 13 7
Sunday Herald Sun 15,000 9 10 7
Saturday Herald Sun 13,000 8 9 7
Saturday Daily Telegraph 10,000 6 6 6

Newspaper Inserted Magazines are also popular amongst the “Top 1%”. Good Weekend attracts significantly more readers from the “Top 1%” than does the next most popular Newspaper Inserted Magazine for this group, Sunday Life. Good Weekend has an “average issue” readership of 55,000 of the “Top 1%” followed by 33,000 for Sunday Life.

“Average issue” readership of the Financial Review Magazine is 29,000 amongst the “Top 1%”, while The Weekend Australian Magazine has an “average issue” readership of 25,000, as does Sunday Magazine, and Boss has 19,000. In terms of Newspaper Inserted Magazines, the “Top 1%” who are “Heavy” users of the Internet are more likely than other members of the “Top 1%” to read most of the Newspaper Inserted Magazines measured — 38% read Good Weekend and 25% read Sunday Life.

Table 4. Average Issue Readership of Newspaper Inserted Magazines by Internet Usage

Average Issue Readership
Total “Top 1%” “Top 1%”
 

(Number)

 

(%)

Heavy Internet Users

(%)

Others

(%)

Good Weekend 55,000 33 38 28
Sunday Life 33,000 20 25 13
Financial Review Magazine 29,000 18 21 13
Weekend Australian Magazine 25,000 15 17 13
Sunday Magazine 25,000 15 17 12
Boss 19,000 12 17 6
Sunday Telegraph TV Guide 14,000 9 9 8
Sydney Magazine 12,000 7 9 6
Age Melbourne Magazine 10,000 6 8 4
Sunday Herald Sun TV Guide 8,000 5 6 3

In terms of Business Magazines, BRW has an “average issue” readership of 26,000 of the “Top 1%” — around twice the number of the Bulletin (15,000) and Time (12,000). The Qantas in-flight magazine The Australian Way has an “average issue” readership of 30,000 amongst this group, while competitive titles Voyeur (Virgin Blue) and Jetstar attract relatively few of the “Top 1%” (5,000 and 3,000 respectively). Investment magazines Personal Investor has an “average issue” readership of 9,000, while Money Magazine and Shares each attract 8,000, and Wealth Creator Magazine has fewer readers who are in the “Top 1%” (4,000). “Heavy” Internet Users among the “Top 1%” are more likely to be readers of The Australian Way (22%), BRW (18%), The Bulletin (10%) and Time (10%), and most other business titles.

Table 5. Average Issue Readership of Business Magazine by Internet Usage

Average Issue Readership
Total “Top 1%” “Top 1%”
 

(Number)

 

(%)

Heavy Internet Users

(%)

Others

(%)

Qantas The Australian Way 30,000 18 22 14
BRW 26,000 16 18 13
Bulletin 15,000 9 10 9
Time 12,000 8 10 5
Personal Investor 9,000 5 7 3
Shares 8,000 5 8 2
Money Magazine 8,000 5 7 2
New Scientist 5,000 3 4 2
Voyeur (Virgin Blue InFlight) 5,000 3 5 *
Wealth Creator Magazine 4,000 2 2 2
Jetstar 3,000 2 3 *

*Indicates less than 0.5%.

The above findings are drawn from the ‘Roy Morgan “Top 1%” Readership Survey’, as part of which 1,014 of the “Top 1%” of Australians were interviewed between October 2003 and September 2005. The "Top 1%" are defined as those individuals in the top six occupation classes (Chairman/Managing Director, Other Director, Owner/Partner/Proprietor, General Manager, Member of Management Board/Executive Committee, Company Accountant/Treasurer/Company Secretary) and earning $120,000 or more per annum, and comprise 1% of the Australian population.

Also attached are the following important papers which cover readership issues:

“Readers-per-copy: beyond the phony figure debate to understanding reader choice and how to drive it your way”

By Gary Morgan, Michele Levine and Marcus Tarrant

Presented to the Worldwide Readership Research Symposium at Cambridge , Massachusetts , USA , October 26-29, 2003.

“Are you going by the numbers? IF YES: Are they the right numbers?

By Michele Levine, Gary Morgan

Presented at International Herald Tribune Media, Planning and Research in Asia — Challenging Perspectives. Media Research

Methodology — Time To Rejuvenate? Hong Kong and Singapore, October 12 and 14, 2004

“A New Method to Measure Media Casualness for Magazines and Newspapers”.

By Gary Morgan , Michele Levine and Sergey Dorofeev

Presented at 10 th Worldwide Readership Symposium, Venice , October 21-26, 2001

“Single Source — The Problem Solver”

By Strategic Director Multi-Media Development, Roy Morgan Research

July 31, 2000

“A Fresh Look At Estimating Readership Frequency Distributions — Modelling readership

and exposure distributions using a ‘frequency’ question”

By Gary Morgan , Michele Levine and Sergey Dorofeev

Presented at Worldwide Audience Measurement Conference June 13-18, 2004

“A New Approach In Audience Measurement For Print Media”

By Roy Morgan

Presented at ESOMAR Seminar ‘Improving Media Research’April, 1982

“It’s Time? Sectional Readership Data for Newspapers

By Gregory Hywood and William Burlace

Presented at the Australian Newspaper Industry Forum ANIF 5, February 12, 2004

“How a Composite Method Has Overcome Telescoping, Prestige and Replication in Readership Research”

By Roy Morgan

June, 1983

“The Accumulation of Audiences for Australian Publications”

By Christopher Fry

February, 1972

“Reading: looking into … logging onto”

By Michele Levine, Gary Morgan, Marcus Tarrant , Nicola Hepenstall and   William Burlace

Presented to the Worldwide Readership Research Symposium at Cambridge , Massachusetts , USA , October 26-29, 2003.

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

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