Because of Mason Digital’s partnership with Google, we were given the opportunity to run a beta Local Campaign, a beta product that was only available to select partners at the time. The objective was to drive store visits at scale, using a variety of different ad formats across the Google ecosystem – Search, Maps, GMB profile, Display, and YouTube. Using advanced machine learning technology, we executed a mobile advertising campaign that dynamically optimized budgets, ad placements and asset combinations to maximize the number of customers visiting their store locations.
Case Study
Driving and Measuring In-Store Traffic From Online Campaigns
Mr. Tire
Mason Digital has been an indispensable digital marketing partner to us for years. They always go the extra mile, looking for cutting-edge ways to deliver the best results for our campaigns. Chad Taggart, Director of Engagement
Challenge
According to Google, 70% of smartphone users who bought something in a store turned to their smartphones first for information relevant to that purchase. For Mr. Tire Auto Service Centers, we needed to understand how our online campaigns were affecting in-store traffic.
Solution
Utilize Google’s Local Campaign to drive store visits at scale, using a variety of different ad formats across the Google ecosystem – Search, Maps, GMB profile, Display, and YouTube.
Results
After six weeks we obtained:
- 4,789 store visits
- 19% store visit rate (about 1 in 5 people who interacted with an ad physically visited a store)
- $6.41 cost per store visit
