Use online data to optimize offline experiences. Get the most of IoT technologies to improve your sales online and offline and be feedback oriented.
Find and consolidate without overlapping the right target audience across 1st and 3rd party sets.
A Customer Shopping DNA(CS-DNA) carries the genetic and learned instructions used in the selection, purchasing, usage, and recommendation of products and services by all customers. By mapping all the combinations we create more than a 360 view, we achieve a truly 3D understanding of your audience.
Social traits - Social networks, connections, engagement, and more. Mobile traits - apps categories, usage, engagement. Digital traits - Search, content consumption and more
Psychographics, precise interests including activities, causes, entertainment, lifestyle, professional, and more. Shopping cart abandonments, product research, CRM, and others. Events
Demographics (age, gender, home location, household Income, native language, and ethnicity) Technology usage and preferences Cultural cues Regional cues
Precise real-time and historical location information, frequent places, competitors visits, unusual locations, and more Store Purchases and buyers remorse signals Expenditure patterns
Map and view the location of predefined customers’ cluster in real-time
Use past consumer behavior to plan and prepare for future events
Understand consumer flow and behavior under different conditions
Pre-target based on audience intelligence data and environmental signal
Target audience with the right message, at the right place and time for the right price
Retarget based on interaction with mobile ads.
Find out the real profile of your customers persona
Find out what are customers consuming and the places they are visiting
See consumer behavior in their physical environment in real-time.
Follow relevant audiences in the physical world based on their current location.
Track audiences based on their historical location visitation
Track audiences’ mobile and desktop usage.
Create incentives, promotions, and A/B tests in real time.
Improve the venue messaging and targeting
Provide businesses promotion attribution information
Match Audience’s DeviceIDs to brand’s 1st party data
Match Audience’s DeviceID to email, and phone number by leveraging 3rd party data
Match bidirectionally customers cluster with products and services