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Free Drag & Drop Location Analytics

Rich behavior and location analytics powered by lightweight and efficient mobile SDKs

No credit card required – Get started in seconds.
Explore location data through a powerful dashboard

Look up insights by store
View near real-time visitation, loyalty, demographic trends, and associations between different retail chains.

See where your users are
Easily View and explore current and past location data on multiple map-based interfaces

Real-world behavioral segmentation
Segment your userbase by their retail world behavior or geographic location.

Easily export raw data
Easily export raw location or profile data into convienient formats including .csv files.

Personalize based on each
user's real world behaviors

Personalize your experience or optimize customer communication based on a variety of insights.

Privacy is important to us.

That’s why we provide developers with a variety of tools to inform users and control the amount of location data collected. Cintric’s location tracking is opt-in and based on an anonymous device-id that can be reset by the user at any time.

Super simple
mobile SDKs

They’re multi-platform, lightweight, and take less than ten minutes to integrate (yes, we timed it). Get up and running with location data accurate to ~10 meters, all while using less than 1% of battery per day. Pretty cool.

Cintric API

Integrate location-based profiles to personalize your messaging, content, and more. Query specific profiles by a variety of attributes, or segment and export them in bulk to augment your own datasets. Cintric’s API allows you to leverage the full power of location analytics in your own applications with simple API calls that return easy to use, formatted data.

Person API example code
{
    "install": {
        "machine_name": "iPhone 6",
        "home_state": "Louisiana",
        "install_id": "d43b7dec212982a34fe1b44121da4c45",
        "cintric_version": "3.2.0",
        "carrier_name": "AT&T",
        "arrival_date_formatted": "2016-06-08 21:32:33",
        "work_state": "Louisiana",
        "created_at_date_unix": 1460371026.744,
        "lon": 2.2922873,
        "push_enabled": true,
        "active_days": 289,
        "income": 25667,
        "advertising_id": "941D38BF-D6CB-4174-BB63-B188851F7FF7",
        "project_id": "57feedb4-97bd-4412-47b4-a2cccba04293",
        "total_visits": 1910,
        "arrival_date_unix": 1465421553.000017,
        "home_city": "Walker",
        "created_at_date_formatted": "2016-04-11 10:37:06",
        "work_city": "Westminster",
        "lat": 48.8583736,
        "system_version": "9.3.2",
        "custom_id": "1508466",
        "customer_id": "5456bd16590dffb00ce6d3e0",
        "identifier_for_vendor": "9D655EFD-3195-4F10-6EFF-1D4CC7FD0ABD"
    },
    "brandAffinity": [
        [
            "1041>sonic_drive-in",
            34.10034602076124
        ],
        [
            "1221>walmart",
            23.996539792387544
        ],
        [
            "1055>starbucks",
            10.103806228373703
        ],
        [
            "577>hyatt_regency",
            5.051903114186851
        ],
        [
            "360>dominos_pizza",
            3.7889273356401385
        ],
        [
            "1217>waffle_house",
            2.5259515570934257
        ],
        [
            "542>home_depot",
            2.5259515570934257
        ],
        [
            "1557>dippin_dots",
            2.5259515570934257
        ],
        [
            "1073>subway",
            2.5259515570934257
        ],
        [
            "180>burger_king",
            2.5259515570934257
        ],
        [
            "840>panda_express",
            1.2629757785467128
        ],
        [
            "1220>walgreens",
            1.2629757785467128
        ],
        [
            "52>arbys",
            1.2629757785467128
        ],
        [
            "1478>hibbett_sports",
            1.2629757785467128
        ],
        [
            "893>popeyes_chicken__biscuits",
            1.2629757785467128
        ],
        [
            "531>hilton",
            1.2629757785467128
        ]
    ],
    "categoryAffinity": [
        [
            "Shopping",
            154.08304498269896
        ],
        [
            "Dining",
            82.09342560553634
        ],
        [
            "Dining>Restaurants",
            56.83391003460208
        ],
        [
            "Shopping>Fashion",
            47.99307958477509
        ],
        [
            "Dining>Restaurants>Fast Food",
            46.73010380622837
        ],
        [
            "Commercial Services",
            29.048442906574394
        ],
        [
            "Shopping>Grocery Stores",
            29.048442906574394
        ],
        [
            "Commercial Services>Automotive",
            25.259515570934255
        ],
        [
            "Shopping>Discount Stores",
            23.996539792387544
        ],
        [
            "Shopping>Department Stores",
            23.996539792387544
        ],
        [
            "Shopping>Fashion>Footwear",
            23.996539792387544
        ],
        [
            "Shopping>Fashion>Clothing",
            23.996539792387544
        ],
        [
            "Shopping>Warehouse/Wholesalers",
            23.996539792387544
        ],
        [
            "Community>Features",
            11.366782006920415
        ],
        [
            "Community",
            11.366782006920415
        ],
        [
            "Arts And Entertainment",
            10.103806228373703
        ],
        [
            "Dining>Coffee Shops",
            10.103806228373703
        ],
        [
            "Dining>American",
            8.84083044982699
        ],
        [
            "Arts And Entertainment>Entertainment",
            7.577854671280277
        ],
        [
            "Vacation And Travel>Lodging",
            6.314878892733564
        ],
        [
            "Vacation And Travel>Lodging>Hotels/Motels",
            6.314878892733564
        ],
        [
            "Arts And Entertainment>Entertainment>Amusement Parks",
            6.314878892733564
        ],
        [
            "Vacation And Travel",
            6.314878892733564
        ],
        [
            "Health And Wellness",
            5.051903114186851
        ],
        [
            "Dining>Restaurants>Fast Casual",
            3.7889273356401385
        ],
        [
            "Commercial Services>Food/Drink",
            3.7889273356401385
        ],
        [
            "Health And Wellness>Hospitals and Medical Centers",
            3.7889273356401385
        ],
        [
            "Dining>Pizza",
            3.7889273356401385
        ],
        [
            "Shopping>Food And Beverage",
            3.7889273356401385
        ],
        [
            "Commercial Services>Home Improvements",
            2.5259515570934257
        ]
    ],
    "tagAffinity": [
        [
            "fast_food",
            44.20415224913495
        ],
        [
            "restaurant",
            40.41522491349481
        ],
        [
            "burger",
            34.10034602076124
        ],
        [
            "superstore",
            23.996539792387544
        ],
        [
            "cafe",
            10.103806228373703
        ],
        [
            "coffee",
            10.103806228373703
        ],
        [
            "hotel",
            6.314878892733564
        ],
        [
            "american",
            6.314878892733564
        ],
        [
            "pizza",
            3.7889273356401385
        ],
        [
            "hardware",
            2.5259515570934257
        ],
        [
            "breakfast",
            2.5259515570934257
        ],
        [
            "chicken",
            2.5259515570934257
        ],
        [
            "sub",
            2.5259515570934257
        ],
        [
            "waffles",
            2.5259515570934257
        ],
        [
            "pharmacy",
            2.5259515570934257
        ],
        [
            "dessert",
            2.5259515570934257
        ],
        [
            "supermarket",
            2.5259515570934257
        ],
        [
            "ice_cream",
            2.5259515570934257
        ],
        [
            "grocery",
            2.5259515570934257
        ],
        [
            "fast_casual",
            2.5259515570934257
        ],
        [
            "hoagie",
            2.5259515570934257
        ],
        [
            "home_improvement",
            2.5259515570934257
        ],
        [
            "southern_food",
            1.2629757785467128
        ],
        [
            "mexican",
            1.2629757785467128
        ],
        [
            "convenience_store",
            1.2629757785467128
        ],
        [
            "budget",
            1.2629757785467128
        ],
        [
            "asian",
            1.2629757785467128
        ],
        [
            "chinese_food",
            1.2629757785467128
        ],
        [
            "discount_store",
            1.2629757785467128
        ],
        [
            "health",
            1.2629757785467128
        ]
    ]
}
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