Learn more about your visitors at the point of sale (POS).

With our unique data pool of over 86 million mobile advertising IDs and corresponding geo-information, we can use Icon Geofencinggeo-analysis (or geofencing) to capture and digitally address anonymous store visitors at the point of sale (POS) in a privacy-compliant manner. Mathematical methods can also be used to describe a corresponding type of customer. This general type is then used to select so-called “lookalikes” for data protection-compliant targeting.


Which exemplary questions geo-analyses can help with:

  • How many customers live in the catchment area of my locations?
  • What types of customers spend time at the POS (point of sale)?
  • What interests do the different types of customers have?
  • What external factors influence the success of my sites?
  • Where are there still untapped areas for my expansion?
  • What sales can I expect at a particular location?
  • In which areas is brochure distribution worthwhile?
  • How many potential customers could I gain by opening a new location?
  • What is the impact of opening a competing location in the immediate vicinity?
  • Which of my customers also go to the competition?
  • What potential customer losses could result from site closures or mergers?
  • Where should my locations ideally be?
  • What is the demographic breakdown of visitors to my sponsorship event and what are their buying habits?
  • How can I identify and target competitive visitors?



These and even more questions can be answered with Schober’s geo-analyses.

Describe your question to us. We have the answer.


Online addressing of offline demand comparators with success measurement

Based on the Schober Mobile transaction data, a target group of current demand comparators was collected, in this case visitors of different furniture stores in a certain period of time. The mobile advertiser IDs of these visitors, which were collected in accordance with data protection regulations, were made available for digital targeting via Google Customer Match or Facebook Custom Audience. A 10% control group, which was not advertised, was retained.


You can see our approach in the slider on the right …

Survey demand comparator
Data protection-compliant recording of visitors to at least 2 furniture stores in the shortest possible time using geofencing
Digital address
Provision of the Schober IDs via Facebook and Google and execution of the campaigns
Survey of store visitors
Renewed recording of own furniture store visitors by means of geofencing (4 weeks after campaign)
Success measurement
Allocation of store visitors to mailing quantity: What proportion of those advertised were subsequently in the store?
Result: Significant increase in visitors
The group of advertised visitors had, on average, twice as high a proportion of visitors as the control group.

Would you like to know more about geoanalysis? We are looking forward to your inquiry.

Simply fill out the form with your data and your request. We will get back to you as soon as possible. Alternatively, you can also make an appointment directly via Calendly.

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