Media Monitoring
Armenia
The type and number of television and radio channels subject to monitoring are not a technical constraint — any requested channel can be included. The pricing proposal is based on the channels available in the public multiplex and the radio stations in the FM band. The one limitation concerns the provision of advertising samples: apart from the client's own ad spots, no other spots can be supplied, because no physical recording of the broadcast is made or stored.
Advertising monitoring captures both technical and content descriptors, then delivers the results online in a comparable, ready-to-analyze form.
Each spot is logged with technical descriptors: date, time, duration, broadcast source, and position within the advertising block. Some descriptors are derived automatically — for example, weekends and weekdays, the week number, and the season of the year are derived from the date, while time slots and similar fields are derived from the time.
Content descriptors capture the advertiser and manufacturer of the product or service, a 3-level brand typology, the advertised product or service, a description of the ad spot, a four-level typology of the advertised product or service, and a description of the advertising campaign by communication objective, type, object, kind, and origin. Where present, the slogan (tagline) used in the spot is also recorded.
The same typology is applied to both radio and television channels, which makes the datasets directly comparable — a significant advantage when analyzing campaigns across media.
Data is provided online. Clients receive a username and password for a platform where the monitoring results are available, with some results presented as ready-made charts. The complete dataset is available both for viewing and for download, and downloaded results can be processed further in Microsoft Excel®.
Algorithmic audio recognition makes monitoring results available in near real time, with only minimal human intervention required.
Automatic recognition is accurate down to the millisecond, ensuring precise capture of each advertising spot.
The system was built from the outset in three languages, with every classifier-based descriptor available automatically in all three.
A single unified typology spans both radio and television channels, making the datasets directly comparable and ready for export to Excel.
We helped a mid-sized hospice and hospital network increase efficiency and patient trust by building a custom medical management app that drove more bookings and reduced no-shows.
Through account-based LinkedIn advertising and a simpler sign-up process on the website, we helped a SaaS startup get 73% more leads and 50% more trial-to-paid conversions.