Discover how location intelligence produces powerful retail insights that can drive brand performance. Cuebiq and GasBuddy examined over 121 million consumer trips to C-Store and Fuel Retailers in 2017. Our latest Footfall Traffic Report sheds light on retail insights, consumer behaviors, trends and a 2018 forecast provided by CSP.

Key Retail Insights Include:

Retail Intelligence: How Brands Can Drive More Visits and Create a  Better Consumer Experience

2017 in Review: Top Brands, Visit Trends, Consumer Habits,  Shopping Preferences and More

2018 Forecast: Data & Analysis by CSP

Cuebiq, a leading location intelligence company with the largest, most accurate location database in the U.S. and GasBuddy, the only smartphone app connecting nearly 70 million drivers with their Perfect Pit Stop, have conducted its second quarterly joint study examining foot traffic of GasBuddy users to convenience stores and gas stations across the U.S. in Q2 2017. As the first footfall trend report series in the fuel and convenience store space, the analysis exemplifies how location intelligence can help this massive and rapidly growing industry understand consumer habits and behaviors.

Marketers today have seemingly unlimited options when it comes to building, targeting and delivering a campaign. Amid all of these options, marketers are still trying to answer the age-old question: Is my advertising actually working? Location data has quickly emerged as a powerful solution to tie together signals across channels, it helps marketers measure in-store footfall. Footfall attribution analysis enables marketers to see how their audience is reacting to a campaign in the physical world.

The whitepaper will take a closer look at how marketers can implement key footfall metrics and leverage attribution into their campaign analysis and strategic planning. Among the report's key highlights:

- The power of high quality location data to answer marketers' most pressing questions.

- Footfall attribution benchmarks by advertising vertical.

- Consumers' footfall trends, offline behaviors, and brand loyalty by advertising category.