Demographic analytics estimates broad characteristics of visitors, such as an age range or apparent gender, so a business can understand who it serves. The information can come from camera-based software, loyalty and membership data, or surveys.
Camera-based tools use software to estimate attributes from images and then, in some products, discard the image and keep only the estimate. Loyalty-based analysis uses details customers have provided, such as postcode or birth year. These are very different in privacy terms.
Retailers and venues use it to tailor range, signage, music, promotions and opening hours to their real audience, and to compare the audience in different locations.
Be careful on privacy and accuracy. Collecting or inferring personal characteristics from video can raise issues under the Privacy Act 1988 and may attract public concern, so transparent notices and legal advice are important. Estimates are not always correct and can be biased across groups, so they should guide decisions, not be treated as fact about individuals. Many operators decide plain counting is enough. Written notices and a clear internal purpose for the data help keep the use proportionate.
Understanding the audience can improve relevance, but the benefit should be weighed against the privacy and trust cost.