Your users contextual data delivered to your marketing tools

Detect when the user is at home without compromising privacy.

Detect when the user is at work without compromising privacy.

Detect when the user is on a commute they take frequently.

Detect when the user is in a grocery store, department store, or other store, with several levels such as “Retail Store”, “Macy’s”, “Macy’s in Seattle”, “Macy’s on 5th Ave.”

Detects when the user is at an airport, with several levels such as “Airport”, “Chicago Airports” or “O’Hare Airport.”

Detects when the user is at a hotel, with levels such as “Hotel”, “Hotel in Seattle”, “Hotel in Downtown Seattle”, or “W Hotel in Seattle.”

Detects when user is at a restaurant, with levels such as “Restaurant”, “Restaurant in Downtown Miami”, or “Fast Food Restaurant.”

You can specify other places that are important to your mobile app, such as a Hospital, a University, or Gym.

Detects when the user is walking, running, exercising or standing still.

Detect when the users wake up in the morning.

Detect if the user is working more or less than usual.

Describes the user’s device battery, such as whether it is charging, low, or high.

Based on the user’s region, describes whether it is a work day, holiday, weekend, weekday, first day of the work week and more.

For the user, detects whether it is morning, noon, afternoon, evening, sunset, night and more.

The network being used by the user’s device at the time, whether wireless, roaming, data network, tethering, etc.

Identify if it’s sunny, rainy, first rain of the season, fresh snow and more.

Detect the user’s interactions with the device, such as the first time the user looks at the phone in the morning, or when the phone has not been used recently.

Detects if the user frequently engages in physical activities, such as cycling or running.

Detects if the user enthusiastically follows one or more sports, such as baseball, football and other sports.

Detects if the user is frequently in stores, and the type of shopping, such as bargain or luxury stores.

Detects if the user frequently travels, and the type of traveling, such budget-conscious or a luxury travels.

Detects whether the user lives in an urban or rural area.

Detects whether the user prefers walking, biking, taking a bus, or driving.

Specify the user’s language like English, Spanish and Other.

If a user has not signed up yet, Clever Nudge detects the user gender.

If a user has not signed up yet, Clever Nudge detects the user age bracket.

Detects if the user is married or single.