Use case examples

Trade Fair

NOSCO Behaviour Analytics can measure the individual visitor experience. As a result, a movement profile can be displayed in real time featuring length of stay, sex, age group and emotions, and can be used later for follow-up communications. 

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Smart POS Marketing

NOSCO Analytics supplies accurate data on visitor numbers, visitor composition according to age and sex, as well as visitor emotions. 
By analysing this data, information on visitor behaviour such as their interests, walked routes, length of stay and the visitors’ future behaviour may be generated. This data can be used for the targeted control of digital media. 
By permanently measuring the changes of the visitors’ behaviour, media controls can be increasingly aligned to the needs of the visitors or to specific goals. Besides analysing visitor behaviour, external data such as the weather or large events can also be included in the adaptation. This self-learning system can be used with different POS effectors such as light, fragrance, audio or digital signage, etc., thus offering the visitor an individual, multi-sensory experience.
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Retail Analytics

When entering and exiting a POS, an EGO-ID of all individuals is recorded using NOSCO Behaviour Analytics and the total foot count calculated. In addition to this, the system calculates the length of stay based on the interval between recordings however it deducts all EGO-IDs that were recorded entering and exiting inside a pre-defined time from the foot count. The pre-recorded EGO-IDs of staff and security personnel can be subtracted. The actual weather situation is evaluated via a link to an online meteorological service.
At the campaign’s installation site (e.g. a shop window), all observers of the installation are recorded anonymously with NOSCO Behaviour Analytics. At one or more sites relevant to the evaluation (e.g. shop entrance or checkout area), passing individuals are once again recorded anonymously. By comparing the EGO-IDs and length of stay at all recording stations, the individuals who first noticed the campaign and then entered the shop or stood in the checkout area can be clearly identified. An evaluation of all recorded individuals in relation to their sex, age group and emotions is also possible allowing for further evaluations. 
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