Analyze mobile foot traffic data with extreme precision

Create, analyze, and visualize mobile datasets for any place and see how results change over time. Use Buxton's household-level data and proprietary data methodologies to provide the most accurate, granular, and detailed view of visitors possible.

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Select any geography

Study any location
or area using custom
or pre-deﬁned polygons

Feedback in seconds

Real time processing
delivers results fast

Household-level data

Understand visitor
behavior through
household level attributes

Look-a-likes

Go beyond visitor data.
Identify everyone that
looks like key, target audiences

Overview

Easy-to-use enhanced mobile data

Use unlimited amounts of mobile data combined with Buxton's psychographic segmentation data to analyze consumer foot traffic at any place and time.

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Massive Scale

Built to scale with 1 billion+
devices of data...and growing

Historical Data

Covers back to
January 1, 2019

Clean & Accurate

Proprietary data cleansing
and normalization methods

Buxton Enriched

Advanced attributes for
making assessment at the
household-level

Take your strategy to the next level with unique mobile data sets that inform, benchmark and define opportunity

Mobilytics gives you instant insights to make the right decisions. Whether your goal is to inform site selection for your retail portfolio, benchmark competitor traffic volumes or define consumer traffic patterns to inform your development strategy, our interactive report provides a clear understanding of visitor behavior to support decision making in real time.

How it works

Track visits at any location over a set period of time

Benchmark results by selecting up to two study areas or time periods.

Select study area

Draw custom polygons around any area or select a pre-defined polygon. Data for the area will be processed into a report instantly.

Select the Begin and End Date

01-01-2019

09-15-2020

Select time period

Choose your beginning and end date: back as far as January 1st, 2019, and as recent as 48 hours.

Select a Daily Time Range

8:00 AM

6:00 PM

All Day

Select the daypart

Choose the time range for each day that you'd like to study, or simply use “all day.”

Our language is potential

Benchmark results
Turn data into decisions

University

Linwood

Features & Benefits

Visitor & Market Insights

Visitors

Who is visiting?

Buxton leverages consumer lifestyle characteristics along with household-level demographics for a detailed view of who's visiting.

Psychographic segmentation
Detailed customer profiles
Household composition
Economic circumstances
Housing and living

Spatial Analysis

Where are they coming from?

View insights into the home and work locations of visitors, using point or density based geography thematics. See a list of the other places these visitors most frequently visit.

Visitor home & work locations
Thematic visualization
Trade area distance by miles
Origination by county, DMA, state, or ZIP

Visit Volume Trend

When do they visit?

Know how often the devices are visiting the locations and identify volume percentage changes based on visitors or visits.

Visit and visitor trend data
Available by hour, day, week, & month
Calendar view

Visitor Behavior

Other places visited

Know the top named places by category where visitors are observed before or after their visit, as well as how frequently they visit those places.

Customer journey insights
Visits by business type
Visits directly before, after, or anytime
Visitor loyalty insights

Advanced Analysis

Add results to your
SCOUT map

View Mobilytics results as an overlay on top of the SCOUT map. Use all of SCOUT's spatial tools and data to identify insights, enabling decision making with ease.

Let's chat.

We want to make it easy for you. We're here to answer your questions about how we can work together to help your organization reach its goals.

Give us a call: 1-888-228-9866

Drop us an email: buxton@buxtonco.com

Privacy Statement

We care about consumer privacy. All visitor home and work locations are geographically shifted to a small degree and we won't return results unless there are a minimum of 50 unique devices observed in your selected study area.