Introduction and Overview
PAMCo – Audience Measurement for Publishers is the new audience measurement currency for published media. It produces de-duplicated brand reach allowing users to carry out reach & frequency planning and also plan and trade audiences across all the platforms on which published media content is delivered – phone, tablet, desktop and print.
PAMCo replaces the National Readership Survey (NRS). NRS was originally designed as a survey to measure print readership, and although over time some digital audience data were integrated via NRS PADD this was not a full solution. With the spectacular growth of mobile audiences it was time to design a new service for the digital world which would include all publisher platforms and enable full utility in planning audiences across those platforms.
The thorough industry wide process to find the successor to NRS allowed PAMCo to design such an audience measurement system. This is reflected in a world leading methodology, which is built on the strong base of a large high quality sample of 35,000 face to face interviews with the innovation of a specially designed data feed from comScore. The development of the PAMCo digital Panel provides measures of duplication of reading across digital and print, the first single-source data of its kind.
The new PAMCo currency is platform neutral and provides the following:
- De-duplicated reach and frequency for all platforms
- An increased number of brands reported across all platforms
- Single source data to understand duplication between print and digital
- Improved estimates of net brand reach and duplication
- Reporting newsbrand sections across print AND digital
- New engagement data
PAMCo’s world-leading methodology integrates data from three sources to provide a complete view of publisher audiences.
- A high-quality face to face survey of 35,000 participants per year interviewed in home to collect print readership and demographic data.
- A digital panel of around 5,000 participants (recruited from the survey participants at the time of interview) to have a specially designed Tracker App installed on their devices i.e. desktop, laptop, phone, tablet. The principal purpose of this panel is to provide single source data on duplication between reading in print and reading on digital platforms. It is not the intention to report digital platform estimates directly from the panel.
- A new specially developed data file from comScore, UKOM’s chosen digital audience supplier, which makes it possible to integrate fully ‘phone and tablet audiences as well as pc/laptop audiences. A highly sophisticated data integration methodology has been developed to fuse comScore’s estimates with the readership/enumeration survey. Duplication of reading between the print and digital platforms will be adjusted to match observations from the PAMCo panel. Duplication of reading between the digital platforms is matched to comScore.
You can access PAMCo data in 3 different ways:
- Topline audience estimates are available through the PAMCo website
- More detailed analysis can be carried out through computer planning bureaux, such as Kantar Media, Nielsen IMS, Telmar, as well as Mediatel and Touchpoints.
- There is also an opportunity to obtain direct access to respondent-level data to feed into publisher and agency proprietary tools.
For details on how to subscribe to PAMCo data, please see questions 47 & 48.
PAMCo: the latest Joint Industry Currency
The Publishers Audience Measurement Company (PAMCo) is the governing body which oversees audience measurement for the published media industry.
Our funding stakeholders are News Media Association (NMA – representing Newsbrands), Professional Publishers Association (PPA – Magazine Media) and the Institute of Practitioners in Advertising (IPA – Advertising Agencies). The Board also has representation from The Incorporated Society of British Advertisers (ISBA), and a research specialist, currently our research partner, Ipsos MORI.
PAMCo Ltd is responsible for the new Joint Industry Currency (JIC) called PAMCo (Audience Measurement for Publishers) in place of NRS data.
Joint Industry Currencies (JICs) are owned by the industry – advertisers, agencies and media owners – to provide transparent and objective audience measurement for each medium. These data are produced and sold at cost, providing both industry accountability and a robust trading currency for each medium. PAMCo is the latest Joint Industry Currency.
NRS Ltd handed responsibility for governance to PAMCo Ltd, from January 2016.
PAMCo provides “estimates” of “audiences” to be used for reach and frequency planning, and includes full demographic profiling of who readers are. ABC is the “count” of number of “copies/editions” sold/opened which can be used in planning and trading and offers media owners an independent check of internal reporting systems.
How it all works
There are differences in both the methodology and the utility of the PAMCo data relative to NRS.
In a key development to enable mobile audiences to be included with full utility for planning, comScore create a special ‘respondent level’ data file for PAMCo. This means data from comScore respondents can be fused with those of PAMCo respondents. For NRS PADD this was possible for desktop audiences, but not for mobile. This file also provides more granularity than was available previously e.g. separate audience estimates for ‘phones and tablets rather than a combined estimate for ‘mobile’.
Another innovation is that a sub-set of PAMCo participants are recruited to the PAMCo Panel, which involves having their reading behaviour tracked on all devices soon after their interview. This provides single-source data on the duplication of reading the same brand in digital and print, something that has not previously been available
In respect of the readership interview, one key methodological difference is that PAMCo has a brand first readership interview, whereas NRS was print first and only asked about digital reading later in the interview. Other important differences within the interview include:
- PAMCo uses full colour masthead prompts for the readership questions, including non- date specific front covers for the magazines and newspaper supplements.
- Questions about print newsbrands ask specifically about weekday and Saturday papers, rather than the ‘6-day’ approach used by NRS.
- There are changes to the scale used to establish frequency of reading.
- The PAMCo interview is carried out on a single tablet screen rather than Double Screen CAPI.
For more detail on the differences between the NRS and PAMCo surveys and how this might affect the estimates please click here to see the overview of NRS & PAMCo key differences doc.
In terms of utility, PAMCo offers reach and frequency planning across all platforms, both separately and in combination i.e.:
For NRS, reach and frequency planning was only possible for desktop and print platforms.
The new methodology also allows for inclusion of audience estimates from new platforms and devices so long as they can be measured on comScore and comScore can in turn provide PAMCo with the required respondent level data file for data integration purposes.
- To reflect the reality that many readers now read across both print and digital platforms and so a questionnaire which focuses on print reading and asks about digital reading separately is no longer appropriate.
- To reduce the potential for confusion between print and digital reading (and possible over-claims for print).
- To collect claimed readership data for all publisher brands which is then used to provide ‘links’ for the fusion with comScore digital audience estimates. Claimed digital reading is very different from comScore estimates, and usually lower, not least because participants will not usually remember all the sites they have visited. There is no intention of publishing the claimed digital behaviour, but it helps to have these data in the background for the data integration process.
PAMCo incorporates comScore’s estimates for digital platforms, rather than issue its own estimates because:
- Published media wish to have a level playing field with all other digital brands in the universe. Buyers have told PAMCo this is critical to enable like for like comparisons and it would be unhelpful for PAMCo to release a different and conflicting set of numbers to those issued by the UKOM approved supplier and de facto industry currency.
- With a sample of 5,000, the panel is too small to provide direct measures for more than a small number of brands. Its purpose is instead to provide a high-quality source of data on print and digital duplication, to enable net reach to be calculated more effectively than has been possible in the past.
For information on comScore’s methodology for measuring digital audiences please contact Jing Yeow on email@example.com
In essence, fusion transfers audience estimates based on participants in one dataset (comScore in this case) to participants in the host dataset (PAMCo), so that there is a combined dataset.
In order to do this, the fusion finds the best possible matches between participants in the respective datasets in respect of their demographics and behaviour.
Unlike NRS, PAMCo has been designed for data integration. The questionnaire, for instance, includes more questions to help match the two sets of participants.
Another development specifically for PAMCo is that comScore create a special ‘respondent level’ data file to enable their respondents (i.e. participants) to be matched with PAMCo participants. For NRS PADD this was possible for desktop audiences, but not for mobile.
Creating the ‘respondent- level’ file is a complex procedure, as comScore’s audience estimates are ‘hybrid’ and only partly based on participants. comScore observes digital behaviour passively via several different and separate panels of participants, but also relies on counts of machine activity (i.e. site/app-centric measurement via tags) to capture all digital activity and model audience estimates.
Ipsos must also align the comScore and PAMCo universes, as there are some differences. You can read more about this in Q.13. Ipsos have developed a number of other procedures to prepare the comScore data for integration, e.g. filling in some missing demographic data for smaller brands.
- Data from each source (PAMCo readership survey and comScore) are fused together based on matching people in terms of demographics and behaviour.
- comScore supply a special respondent level file which improves the quality of the digital data and allows the fusion or match to happen
- Ipsos align the data in order to retain the key trading currency i.e. comScore for digital and PAMCo for readership
The data integration procedure is designed to match comScore’s published estimates as closely as possible.
Users will, however, notice some differences due to universe definition. PAMCO’s universe is Great Britain age 15+, while comScore’s is United Kingdom age 6+ for home desktop/laptop and 18+ for mobile and work desktop/laptop. Ipsos therefore make adjustments to remove those visitors who are either based in Northern Ireland or aged 6-14, and model in estimates for mobile visitors aged 15-17, as well as other procedures necessary to align the PAMCo and comScore datasets.
A tolerance is then set that PAMCo estimates should be within 5% of the target comScore estimates, though they are usually well within that.
14. Why are the duplications for reading via mobile different between brands in PAMCo compared to NRS PADD?
PAMCo has a completely different way of incorporating comScore’s mobile audience estimates, compared to NRS PADD. The NRS PADD monthly mobile data were created by calibrating the NRS questionnaire claims for mobile readership so that they matched comScore’s monthly audience levels by brand. So the NRS PADD duplications with the mobile claims for other publisher brands in part came from what existed in the underlying recall data (which are quite different from comScore anyway) and in part ‘fell out’ as additional respondents were converted to be mobile readers in order to match the comScore targets. There was no practical way of controlling mobile duplications with other publisher brands. The PAMCo methodology uses a fusion with a specially created respondent level data file from comScore which includes audience data for all digital platforms including ‘phone and tablet. The duplication between reading different brands on digital platforms reflect those in the data file supplied by comScore.
15. Why are there some differences when I compare duplications between brands in the original comScore data with the duplications between brands on digital platforms in PAMCo?
The complexity of the comScore respondent level file means that it is not possible for comScore to control the duplication in reading between individual brands so that they exactly match what is in comScore’s own analysis system. There is a tendency for duplications between brands to be somewhat overstated in the PAMCo dataset. We are looking at a number of strategies to address this, including supplying ready calculated ‘roll-ups’ of particular groups of brands of interest.
No, the audience estimates will not be directly comparable with NRS. There are many changes which mean that it will not be possible to make direct comparisons for commercial purposes, and the PAMCo data are in effect a brand-new dataset. For instance, changes to the readership questions include the introduction of a ‘brand-first’ questionnaire structure.
Although the audience estimates for digital platforms will be sourced from comScore, as they were for NRS PADD, overall estimates of brand reach may change somewhat as estimates of the duplication of reading in print and digital will be derived from PAMCo’s new panel.
Due to the different methodologies, the PAMCo Board has mandated that NRS and PAMCo data should not be compared for commercial or marketing purposes. This means that from Q1 2017 data release onwards the data should not be compared with previous periods of NRS data. Also, individual periods should not be broken out to compare NRS and PAMCo data for commercial or marketing purposes.
The new PAMCo questions and increased utility will be available with the first full PAMCo data release in April 2018.
Throughout the development of PAMCo, the team have been participating in a number of conferences and discussions where audience measurement surveys around the world share best practice and latest developments.
There are some common themes to these developments, for instance:
- Adoption of brand-first questionnaire designs
- The increasing number of fusions to incorporate passively collected estimates of digital reading
- A growing focus on the importance of representing duplication of reading between print and digital.
A number of countries are developing tools to measure the latter, though PAMCo has the first all-device Panel we are aware of.
What’s included in the dataset?
PAMCo represents a universe of adults aged 15+, living in Great Britain. The weighted universe is 52,748,000 adults for 2017.
For digital, we are expecting around 100 publisher brands to have estimates included across all platforms, a considerable increase on NRS.
In addition to the 170 print brands measured by NRS, PAMCo will include estimates for around 50 additional newspaper supplements and in-paper sections.
Around 350 non-publisher brands will also have digital estimates included in the dataset (e.g. large advertiser websites), so that they can be analysed alongside the publisher brands.
Total Brand Reach (TBR) is the measure used in the PAMCo published tables. The definition has been agreed by the PAMCo Board.
TBR is a measure reach of all related content for each publisher brand and includes:
- Related/sub-brands that share the main title branding or url of the parent brand e.g. The Guardian and www.the guardian.com.
- Related and sub-brands that display the parent branding on the home page of the website/app.
- Sunday papers that do not share weekday branding (e.g. The Observer), to keep parity with other brands.
Non-publisher websites, including store/retailer/membership websites will not be included in TBR definitions but could be part of the overall PAMCo dataset.
In the analysis systems provided by the computer bureaux, it will be possible to break out the different brands and platforms contributing to TBR, with the exception of third-party platforms which are covered in more detail in Q.19 below. A full list of the brands and platforms included in each TBR estimate will be available on the PAMCo website and within the computer bureaux.
For more detailed information please click here for our full TBR Rules.
23. Will PAMCo include separate estimates for third party platforms such as FBIA, Google AMP, Snapchat, Apple News, Google newsstand, Daily Hunt?
comScore can include measurements for some of these platforms, currently FBIA, Google AMP, Apple News, Flipboard and Google Newsstand. This requires publishers to make the necessary arrangements with comScore and have appropriate tagging in place. Traffic via these platforms will then be included in their overall digital estimates within PAMCO.
However, due to the way data relating to third-party platforms are collected, comScore are not able to supply Ipsos with the ‘respondent-level data’ which would be required to break out estimates for third-party platforms in the PAMCo database. In the interests of transparency, the PAMCo Board have therefore agreed publishers will be asked to identify whether or not their comScore estimates include traffic from third-party platforms. This will be indicated by a symbol D contained in the name of the publication so it is immediately visible to users when using any analysis system or published tables.
It remains a key development objective to be able to break out third-party platform estimates within the PAMCo dataset, so that their contribution to the overall digital estimate is clear and users have maximum flexibility as to which platforms to plan on. PAMCo and Ipsos will be working with comScore and the other industry bodies concerned towards this end.
For all brands:
- Average Issue Readership
- Daily reach
- Weekly reach
- Monthly reach
- Read Past Year
- Frequency of reading (using a NEW scale*)
- *The four PAMCo frequency codes (Almost Always, Quite Often, Occasionally, Less Often) will be published via the bureaux, but ‘Occasionally’ and ‘Less Often’ will continue to be merged and reported as ‘Only Occasionally’ in top line reports.
- Probability of reading (High, Medium, Low) for newspaper supplements and in-paper sections
- Source of copy
- Time spent reading
- Attitude statements (NEW to PAMCo):
- Reading it is time well spent
- I feel a close connection with it
- It gives me something I can’t get elsewhere
- I trust what I read in it
- A list of 48 different topics, including breakdowns for types of news and sport
- B. The following topics were not published in the NRS blended data but will be published for PAMCo now that there are a full 12 months of data:
- Topic interest: news, politics, craft, environment
- Sports interest: horse riding, boxing, cycling/mountain biking, swimming
- News interest: local news, national news, international news
- Seven activities planned for the next six months, including obtaining a new car and spending £1,000 or more on home improvements or furnishings
- NEW and detailed data on household and personal usage (Any, 1, 2, 3+) of the following devices:
- E-book reader
- Smart watch
- Video games console
- Smart TV
- Blu Ray
- Streaming devices
- An internet connected Set Top Box or DVR
- Age (now including separate breaks for 65-74 and 75+, instead of just 65+)
- Social grade
- Main shopper
- Marital status
- Terminal education age
- Employment status
- Working status
- Chief Income Earner
- Household composition and presence of children
- Ethnic Origin (NEW: the full PAMCo response list will now be published)
- Government Office Region
- SIC and SOC classifications
- Radio (including NEW PAMCo data on days a week any station listened to and time spent listening on an average day)
- Internet usage
The key measure of print readership is known as Average Issue Readership or AIR. AIR is the number of people who have read or looked at an average issue of a publication. The definition is based on those who say they have last read a publication within its publication interval, i.e.:
|Daily newsbrands||Read yesterday|
|Sunday newsbrands||Read in the last 7 days|
|Weekly magazines||Read in the last 7 days|
|Fortnightly magazines||Read in the last 2 weeks|
|Monthly magazines||Read in the last month|
|Bi-monthly||Read in the last 2 months|
|Quarterly||Read in the last 3 months|
For daily newsbrands AIR is available for Saturday editions, as well as an estimate for the 5-day weekday edition, and an overall 6-day estimate.
The data incorporated from comScore are:
- Daily, weekly and monthly reach (Unique Visitors) by platform
- Page views by platform. (Desktop video views are also included)
- Time spent by platform
- Content sections (where published by comScore, usually for the newsbrands). It will be possible to analyse these digital sections individually and by 11 content categories: News, Homepage, Sport, Lifestyle, Arts & Entertainments, Personal Finance, Business, Science & Technology, Travel, Jobs/Careers, and Motors).
The comScore definition is that a Unique Visitor has:
- Initiated the page-load (comScore try to remove auto-refresh/open pages)
- Had a page view credited within a 3-second window
PAMCo will publish data every quarter based on the most recent 12 months of survey data available e.g. the launch dataset will be PAMCo January 2017 – December 2017, and a rolling 12-month dataset will be released every quarter thereafter. The comScore data integrated will be from a single month close to the end of the PAMCo 12-month survey period. The plan for releases in 2018 is shown below:
|PAMCo Data Period||comScore data period|
|January 2017 – December 2017||November 2017|
|April 2017 – March 2018||February 2018|
|July 2017 – June 2018||May 2018|
|October 2017 – September 2018||September 2018|
Please note that as the print and digital data integration is carried out based on the full 12-month dataset, digital data and combined print and digital data should only be analysed on a 12-month base, even if the print title is large enough to be analysed on a six-month base. The integration of digital data is not controlled on a six-month base, or for any time period other than the full 12 months.
The PAMCo Digital Panel
The principal purpose of the Panel is to provide single source data on duplication between reading in print and reading on digital platforms, which is used to set targets for the duplications in the final fused database. It is not the intention to report digital platform estimates directly from the Panel.
The Panel provides data which:
- Provides a benchmark to validate how well the fusion is working.
- Ensures print and digital duplication of reading is fully represented, particularly for the smaller brands for which this is more of a challenge for the fusion. Using duplication targets based on the Panel data, all brands have at least some duplication and for smaller brands around 20-30% extra duplication (relative to the fusion alone) is added in.
With a sample of 5,000, the Panel is too small to provide direct measures for more than a small number of brands. Its purpose is instead to provide a high-quality source of data on print and digital duplication and to enable net reach to be calculated more effectively than has been possible in the past
Reading of publisher’s digital platforms is measured via an app installed on all of the participant’s devices. Content must be tagged in order to be measured by the PAMCo Panel. Digital reading is recorded for 28 consecutive days as soon as possible after the print readership interview, and participants are asked to install the app onto all their digital devices for a period of 8 weeks to ensure this is possible.
The Panel data are used to measure how much more likely print readers are than non-print readers to visit digital platforms of the brand concerned. For some brands there is very little difference between print readers and non-print readers, for others there is a much stronger relationship, with print readers being much more likely than non-print readers to visit digital platforms for that brand.
This information is used to set a target print and digital duplication for each brand, which must take into account both the information from the Panel and the size of the comScore digital audience estimate. Duplication targets are set at a monthly level, and initially for digital reading as a whole (though the allocation process takes into account the various different digital platforms).
When datasets are brought together (in this case PAMCo and comScore) there is a natural tendency to underestimate duplication, particularly if sample sizes are low. The target duplications derived from the Panel data are used to adjust the print and digital reading duplications in the fused dataset and ensure duplication is represented fully. For the largest brands these adjustments tend to be small, as the fusion is already capturing most of the expected duplication. For smaller brands around 20-30% extra duplication (relative to the fusion alone) is added in.
This means there tends to be more print and digital duplication of reading in PAMCo data than there was in NRS PADD, and all brands have at least some duplication, which was not always the case with NRS PADD.
Ipsos use a sample of around 5,000 collected across c.15 months to generate the duplication targets, though in practice samples by individual brand may be less than that if tagging has not been at 100% throughout. Ipsos have developed an innovative solution to provide duplication targets for all brands:
- A smoothing approach is used which is variable by sample size. For large sample brands smoothing is minimal, while small sample brands have more smoothing applied to their targets, to avoid volatility.
- The smoothing model also draws on claimed duplication data from the PAMCo print survey to help predict duplication targets for brands for which there is insufficient panel sample (though it would not be appropriate to take these data at face-value due to the biases and understatement in what participants claim they have read on screen).
- To take account of different levels of readership in the fused PAMCo/comScore database compared the PAMCo Panel, e.g. if the comScore estimate is bigger than the digital reach observed in the Panel, which is often the case.
- To take account of sample sizes which are too small to produce reliable duplication estimates.
The Panel is recruited directly from the high-quality PAMCo sample, with every effort made to encourage participation. It has the challenging objective of measuring visits to publisher sites across all the participant’s devices, rather than a single device, which would be much easier to achieve. As such, the Panel quality is high relative to the more usual ‘opt-in’ sample used for digital measurement panels.
As with most samples, there are some skews in the unweighted sample. The most noticeable is to somewhat under-represent those with 3+ devices, and a tendency to under- represent men and over- represent women. The Panel data are therefore weighted by gender and age, newspaper and magazine readership (to ensure print readers are not over-represented) and 4-week print readership and device usage, to correct these skews as far as possible.
Other points to note are:
- Reading via work computers is not included. It is not possible to achieve the necessary permissions to provide a representative sample of reading at work for PAMCo’s purposes.
- Reading via third-party platforms is not included, other than for Google AMP if the correct tags are in place.
- The Tracker App cannot identify if different people are using a single device, particularly as it is designed to be as non-intrusive as possible. Only primary users of phones and tablets will have their reading measured, which helps reduce the likelihood of shared usage. While in some cases there will be some overstatement of digital repertoire, the claimed usage data suggest relatively low levels of shared usage.
In respect of all of these points, please bear in mind that the main purpose of the digital panel is to provide single-source data on duplication of reading between print and digital, rather than a direct measure of visits to digital platforms. For the first time single-source data on the cross-over between print and digital reading are available across the market and to a high standard given the recruitment challenges involved.
The PAMCo Technical Group has conducted an assessment of the data provided by the Panel, which appear credible in terms of relationships between the print and digital platforms, and between different types of brand and content.
Using PAMCo in the data bureaux
37. Can I set up favourite runs/cross tabs and use them each time there is a new data release (i.e. from NRS to PAMCo and each release after PAMCo launches)?
Any favourite/regular runs saved within the NRS dataset will not be able to be carried forward to the new PAMCo dataset. You will need to set these runs up again once PAMCo has launched. However, once the runs on the PAMCo data are set up they can then be carried forward for each future PAMCo release.
Due to the different methodologies between NRS and PAMCo data the PAMCo Board have mandated that they should not be compared for marketing and commercial purposes. As such, you will not be able to trend data until such time as there are at least two PAMCo datasets to compare and trend.
PAMCo will publish data every quarter based on the most recent rolling 12 months of survey data available e.g. PAMCo January 2017 – December 2017. In order to avoid issuing multiple datasets to the bureaux, a single 12-month dataset will be published, i.e. there will be no separate six-month file available within the bureaux
An over code for the two six-month periods will be provided within the 12-month dataset, as a convenience for brands that qualify to have their print estimates published on a six-month base, and wish to analyse their print estimate on this basis. Brands with large enough print samples to do this are highlighted by the letter “H” in the bureaux.
However, please note the following analyses should ONLY be carried out on a 12-month base:
- Digital platform audience data/reach and frequency
- Combined print and digital audience data/reach and frequency
- Print audience data for titles published on a 12-month or 24-month base
In the case of analyses involving digital platforms, this is because the integration of digital data is carried out using the full 12 months of PAMCo data and is not controlled on a six-month base, or for any time period other than the full 12 months.
PAMCo recommends that data are analysed on a 12-month basis unless the brand’s audience is large enough to be analysed on a 6-month data period (highlighted by the letter “H” in the bureaux).
This is possible. Please contact your own planning bureaux for details on how to carry this out.
- Nielsen IMS UK Ltd: 020 7420 9200
- Kantar Media: 0020 8185 4900
- Telmar Communications Ltd: 020 7467 2599
One of the objectives of PAMCo was to include as many publisher brands as possible in the digital dataset, and if a brand is included data will be shown for all platforms for which comScore produces data.
However, we would caution that users consider the size of the brand concerned when analysing the data in detail. For a relatively small digital brand it would not be recommended to look at daily and weekly audience data; the monthly data will provide a more stable analysis base. Similarly, it will not always be appropriate to carry out detailed analysis for individual platforms (e.g. by specific demographics), particularly tablet which tends to be the smallest of the digital platforms.
Unfortunately, it is not possible to give guidance in respect of specific sample sizes, particularly as the comScore data are only in part based on sample.
43. Why if I manually combine daily and weekly estimates, are they different to the overcodes in the bureaux?
In the PAMCo data, whether a person has read or looked at a publication in print or online is expressed in one of two different ways, either as a binary (1/0) variable or as a probability. Traditionally, probabilities have been used as the required input for reach and frequency algorithms and binary data has been used within the cross-tab systems but in the PAMCo dataset (as in its predecessor NRS PADD) probabilities have also been used for some parts of the data within the cross-tab systems because daily and weekly reach in comScore’s data file take the form of probabilities. Click here for more information.
Please speak to your respective planning bureaux for training on how to carry out reach and frequency planning
There will be a code for the various digital platforms in combination (as well as codes for each of the individual platforms separately). However, as the method of planning print is by insertions and for digital is by page views, it is not possible to combine the two into a single code. Print and digital can be planned in combination in the same schedule, using the separate codes provided for each.
This is not possible, as the audience estimates are an average across the reporting periods concerned.
47. Can I plan several insertions that appear in different parts of a single edition of print title, e.g. one in the main paper and one in an accompanying supplement on the same day?
No, this is not advisable. At the moment the reach and frequency planning facilities within the bureaux assume that if there is more than one insertion in a publication, that these are placed in different editions. The calculations would be misleading if the intention was that the insertions appeared in the same edition, as reach would be overstated. PAMCo will be working with Ipsos and the bureaux to see if it is possible to develop a facility specifically for this type of analysis.
Please contact your respective planning bureaux for information on optimisation tools.
49. If I am a monthly title, can I analyse my daily and weekly print reach as well as monthly reach?
Daily, weekly and monthly print reach estimates are provided for all brands in the bureaux planning systems. However care should be taken with sample sizes for the smaller brands.
Accessing PAMCo – Audience Measurement for Publishers data
The topline data will be posted on the PAMCo website and are available without subscription. PAMCo & comScore subscribers have access to the full PAMCo database via one of the computer bureaux (Kantar Media, Nielsen IMS, Telmar, Mediatel) licensed by PAMCo Ltd to provide a data analysis service.
It is also possible to obtain direct access to respondent-level data to feed into your own planning tools. Please contact PAMCo Ltd to find out how to do this.
To access the full PAMCo dataset you must subscribe to both PAMCo and comScore.
You need a subscription for MMX Multi-Platform, MMX and Mobile Metrix. If you have a query about your existing subscription please contact your designated Account Manager or if you are new to comScore please contact Nicola Harrison on firstname.lastname@example.org
For digital brands this is the case, even if there is no corresponding print brand, or the print brand does not have a readership estimate published.
For print publications the key consideration is that display advertising is carried. Publications which are not normally covered are:
- Titles carrying only classified advertising, or not carrying advertising at all
- Trade, business or professional titles, or special-interest titles whose readers are unlikely to be properly represented in the sample
- Titles aimed primarily at children (aged 14 or under)
- Titles appearing less often than quarterly, or titles which appear irregularly
There is no minimum circulation requirement for print publications, but a publication must achieve a minimum sample before any data can be released. Click here to see the PAMCo Rules for Measurement and Publication.
53. What if I have a brand that doesn’t have enough sample for publication of a print estimate, or does not have an accompanying print publication, can the digital estimate still be included in the PAMCo dataset?
Yes, providing it appears within comScore.
Magazine publishers should approach the PPA (Professional Publishers Association) and newsbrand publishers should contact NMA (News Media Association) for further information on how to have their brand measured by PAMCo as part of the PAMCO dataset.
Publishers who are members of either the NMA or the PPA and who wish make changes to their brands that are currently measured on PAMCO should let PAMCo and their respective industry bodies know
Tagging is not essential but is strongly recommended in order to achieve the best possible estimates.
comScore reports digital audience estimates even if brands are not tagged, using weighted estimates derived from their panels. These estimates can be integrated within the PAMCo database. However appropriate tagging is highly desirable, as this will improve comScore’s estimate by ensuring all activity is credited, including activity not covered by comScore’s panels (e.g. from Android tablets).
Tagging is ESSENTIAL for digital reading to be measured by PAMCo’s Panel, in order to calculate a target duplication of reading between digital and print for the brand concerned. Untagged brands can still be included in the PAMCo database, but their print and digital duplications will not be controlled as data will not be available from the Panel to set a target.
PAMCo audience estimates will be published on a quarterly basis.
|Date Period||Release Date||Embargoed Until|
|PAMCo 1 2018||Jan ’17 – Dec ’17 (Nov ’17 comScore data)||9th April 2018||00:01am 19th April 2018|
|PAMCo 2 2018||Apr ’17 – Mar ’18 (Feb ’18 comScore data)||18th June 2018||00:01am 25th June 2018|
|PAMCo 3 2018||Jul ’17 – June ’18 (May ’18 comScore data)||10th September 2018||00:01am 17th September 2018|
|PAMCo 4 2018||Oct ’17 – Sep ’18 (Sep ’18 comScore data)||10th December 2018||00:01am 17th December 2018|