Accurat provides each account with 200+ out-of-the-box audiences. A - non exhaustive and continuously growing - overview of those audiences can be found below. All of them including additional metrics such as frequency, recency, specific POI visits etc can be combined to create custom audiences.
|Type of audience
|Users who live in a city.
|Users who live in a rural location, outside the city.
|Users who work near their home location (<10 km).
|White collar workers
|Users expected to work as a clerk.
|Blue collar workers
|Users who are expected to work in a factory.
|Users that are considered to be students.
|Recent job changers
|Users who recently switched jobs.
|Users estimated to travel for business.
|Users with (young) kids.
|Users that recently moved.
|Users within an estilmated social class.
|Users that commute mostly by car.
|Public transport commuters
|Users that commute mostly by public transport.
|Users that commute mostly by bike.
|Users that spend each day driving a car.
|Users that are often stuck in traffic.
|Users that visit supermarkets.
|Users that visit fashion stores.
|Users that visit beauty stores.
|Users that visit shoe stores.
|Sports store shoppers
|Users that visit sports stores.
|Users that visit DIY stores.
|Pet shop users
|Users that visit pet shop stores.
|Users buying from local bakeries and butchers.
|Users that visit stores with a more discount offering.
|Users that visit stores with a more premium offering.
|Fast food users
|Users that visit fast food restaurants.
|Fast food addicts
|Users that outperform in visiting fast food restaurants.
|Users that visit fitness locations.
|Users that outperform in visiting fitness locations.
|Users for a brand - calculated for 100+ retail brands
|<your brand> customer
|Users that visit your brand.
|<your brand> mixer
|Users that visit your brand and at least one competitor.
|<your brand> churner
|Users that tend to visit your store less compared to before.
|<your brand> loyal
|Users that visit only your brand.
|<your brand> recent visitor
|Users that visited your brand recently (timing dependent on category average).
|<your competitors> customer
|Users that visit your competitor - calculated for all category competitors
|<your competitors> mixer
|Users that visit your competitors and at least one competitor.
|<your competitors> loyal
|Users that visit only your competitor.
|Frequent visitors of movie theatres.
|Users that outperform in going out for diner.
|Users that outperform in going out for lunch.
|Select users with a high shopaholic behaviour, going for shopping most often.
|Users that prefer to go for shopping to the city.
|Users that prefer to go for shopping to malls.
|Users that prefer to go for shopping in retail parcs or periferic locations.
|Users that prefer to go for shopping near their home.
|Users that prefer cultural activities.
|Users that are a soccer fan.
|Users that show a sportive behaviour.
|Users that travel locally.
|Users that travel abroad at least once a year.
|Owns a pet
|Users that own a dog, cat or other pet.
|Users that go to accessory or home furniture stores often.
|Users that go to festivals.
|Users that have shown interst in music in several ways.
|Users loooking to buy a car in the near future.
|Users loooking to buy a kitchen in the near future.
|Users loooking to buy a bathroom in the near future.
|Windows & Doors intenders
|Users loooking to buy windows or doors in the near future.
|Users loooking to buy electronics in the near future.