Among our customers we serve various market associations, publishers & broadcasters from TV, Online, Radio, Out-of-Home, Newspapers and Magazines and their sales houses. We also design and tailor data models for market research companies as well as for Joint-Industry-Committees (JIC) and Media-Owner- Committees (MOC).
AGF Videoforschung GmbH
Project: Convergence / Total Video
We weave the various measurements of TV and streaming usage into a Total Video analysis (respondent level data).
In order to calculate valid net-reach in a daily scheme, we apply a multidimensional model and calibrate the audience figures towards the census-based data of usage figures.
Within a bespoke pipeline formed by the ANKORDATAscience framework we apply various sewing mechanisms on an overnight schedule:
- Fusion of the various sub-samples from panel source.
- Net-reach-modelling for all media properties
- Calibration of net-reach and number of views by site-centric measurement / census data
- Preparation of fully integrated Total Video dataset (respondent-level), covering video consumption across all platforms
https://www.agf.de/en/audience-measurement/measurement/video-streaming
agma Arbeitsgemeinschaft Media-Analyse e.V.
Project: ma media analysis
As one of the outfitters for agma (Arbeitsgemeinschaft Media-Analyse) we supply them with various designs across their cross-media surveys for newspapers, magazines, audio / radio and out-of-home media
ma Presse, ma Tageszeitungen, ma Audio, ma Out of Home
Our special attention is paid to fusion of various building blocks and net reach modelling, which also includes the finishing of resulting datasets.
Out of the surveying of usage of regularly published content, we seek to provide reliable figures for media planning. To obtain this information, probabilities of usage are calculated from the data on average frequency of media consumption (frequency scale) and the last media contact that can be easily remembered.
We apply various methods for this, such as segmentation. Supported by additional attributes we distinguish the audience into segments and target groups and assign a bespoke probability of usage to each tier. Usage behavior is recorded over time (e.g., daily schedule) and assigned to appropriate segments. By applying a probability modelling (p-values), the net-reach per target group is calculated. Additionally, results are calibrated towards originally measured usage figures.
According to the design of specific media research, a finishing of datasets is completed by
- final weighting towards benchmarks of socio-demographics, iterative and multidimensional method
- addition of target group characteristics by fusion and imputation
- tabulation & data visualization
In addition, we actively contribute to the further development of innovative agma projects by analyzing the various data inputs. We also advise agma for design and development of new surveys, always meant to provide data for media planning at best accuracy.
b4p , best for planning
GIK Gesellschaft für integrierte Kommunikationsforschung mbH & Co. KG
Project: b4p best for planning
Covering more than 2,400 brands from more than 120 industries and categories, best for planning b4p is the most comprehensive market media study in Germany.
As a result of the large number of brands and products surveyed for b4p, the questionnaire cannot be as detailed to the same extent as, for example, a media currency like the surveys done by agma. Thus, the figures of media consumption for TV, audio and out-of-home is fused into b4p out of the corresponding agma project. We utilize the values for each media type recorded specifically in the b4p as anchors to inform the fusion procedure.
VuMA (RMS Radio Marketing Service)
Project: VuMA Touchpoints
This study is done on behalf of audio marketer RMS Radio Marketing Service. It includes reach figures across radio and online-audio combined with rich audience data.
Within the ANKORDATAscience framework, we run a weighting of input data and we impute data on income of the respondents from corresponding sources.
For enhancement of the resulting dataset we run an iterative calibration of net-reach data informed by official currency standards for media. This design also requires a bespoken fusion of results for consumption of online audio into the calibrated radio data. Once more the combined reach figures will be leveled towards the reference data as reported within the media currencies.
https://rms.de/wissen-und-planung/planungstools/vuma-touchpoints
AGOF Arbeitsgemeinschaft Onlineforschung e.V.
Project: Daily digital facts
For reporting of daily digital facts of AGOF various data sources are stitched together to form a huge virtual panel (+300,000, cross-device):
- Extrapolation and calibration of usage by census-based measurement. The usage recorded in several panel samples and composed to a single dataset is adjusted by the figures from site-centric data collection
- In a next step we enhance those results by demographics and target group information from external sources such as VuMA Touchpoints and best for planning b4p (fusion)
By completing this pattern, we create a day-by-day dataset for reporting of unique user (net reach). As this is formed as respondent level data, it is applicable to detailed analytics as well as for features of media planning.
- Extrapolation and calibration of usage by census-based measurement. The usage recorded in several panel samples and composed to a single dataset is adjusted by the figures from site-centric data collection
MMS Mediamätning i Skandinavien
Assessment of R&F Modelling
MMS measures the viewing of programmes, clips and advertisements and delivers daily viewing figures to the Swedish media industry. The main clients are large media houses, media agencies and advertisers.
With broad competence and long experience, MMS monitors trends and develops new methods for measuring TV and online video.
A pilot project for reach modeling of online videos with regard to net reach and calibration of contacts as well as total reach for linear TV and online video was carried out in collaboration with ANKORDATA. We have applied the PRECEP (PREferences and CEnsus based Poisson) model from our ANKORDATAscience framework for this.
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