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dstillery dstillery
dstillery
111%
increase in in-store visits
0.6%
mobile click-through rate
65%
above the industry standard for mobile CTR
Objective

A leading quick-serve restaurant wanted to expand their audience among college students and turned to Dstillery to help them drive traffic to the store locator page of their web site as well as in-store traffic.

Approach

To build a unique and in-market audience, Dstillery analyzed pixel data from the store locator page of the client’s web site. Then, our data scientists used this initial data set to identify consumers who were acting similarly to the client’s current customers.  To create this new, custom segment, we used location-based signals from the restaurant chain and their competitors as well as data from universities to ensure we were encompassing a variety of prospective customers.

 

Next, we retargeted these likely prospects on their mobile devices in two ways:

  1. Hyperlocal Targeting – Dstillery reached prospective customers on their mobile device when they were in one of the places we used to create the custom segment.
  2. Location Retargeting – Dstillery captured location data from the above locations, and served mobile and tablet ads later in the day to increase engagement and ultimately drive foot traffic to the stores.
Results

To track results, Dstillery partnered with Placed, the leading location analytics and mobile attribution company, to track how many consumers exposed to the ads subsequently visited the restaurant locations. Astonishingly, the client saw a 111 percent increase in store visits!  The campaign drove a mobile click-through rate of 0.6 percent, which is 65 percent above the industry average for the food and beverage industry.

All Devices, All Channels

Let’s face it, we’re all on our devices online all the time. We’ve got your back and will deliver your message across Mobile, Desktop and Video.

Location, Location, Location

We capture mobile location insights and infuse with desktop behaviors to optimize targeting across all channels. We do it privacy friendly too.

Not Big Data, Better Data

Bigger is not always better. Often up to 20% of data is dirty.  We root out bots, bad location data and fraud. Work with our award winning data science.