Ambiguous offline analysis,
Even without an app!
Even without stores!
Even without customer data!
It's Possible!

loplat has a variety of offline data for industry-specific characteristics.
Start data-driven decision-making.

[Details of data provided]
Time spent in store
Percentage of visitors
Hourly / Daily number of visitors
Visit status
Store unit analysis
Residence/ Workplace
Inflows
Competitor analysis
Complex mal floor unit analysis
Daily/Weekly visit trends
Cross-visit ratio
Device information

Data collected from expensive research is limited.
Request custom analytics data at a reasonable cost!

Widely used for sales growth, store operation, and performance measurement.

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Use Cases

Complex Mall H

“It’s the 1st opening anniversary, and I want to check the visitor trends!”

What about the offline data? 🤔

Sales data alone can't reveal offline trends. I would like to know what the customer share by the floor is and who’s locking customers in the Yeouido commercial district.

loplat's Customized Analysis 🎯

Visit analysis
  • Top 5 residential areas of H mall visitors.
  • Average time spent per person.
  • Distribution of visitors by floor
  • Percentage of H mall visits among total visitors to Yeouido.
Cross-visit analysis
  • Cross-visit within Yeouido for people visiting H mall.
  • Top 9 places most visited by visitors to Yeouido.
Commercial district analysis
  • Weekend Top 15 Foot Traffic.
  • Foot traffic growth rate of Seoul’s main commercial districts compared to 2020.
  • Top 3 Most Visited Museums in Seoul.
  • Compare the share of weekday/weekend visitors in Seoul's top 5 commercial districts.

Curious about the report?

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Outdoor Advertising Agency F

“I want to measure outdoor advertising performance!”

What about the offline data? 🤔

I want to experience offline performance measurement through loplat's residential area analysis! Can the impact of elevator advertising be measured by analyzing customer visit data?

loplat's Customized Analysis 🎯

Results of Elevator & Outdoor Advertising
Difficult to measure outdoor advertising effectiveness?

Big data collected by loplat's location tech accurately analyze the visitor’s sources and allows you to identify visitors' residential areas by city/province/district nationwide.

With loplat's residential analysis, you can measure the conversion rate of outdoor ads installed on apartments into store visits.

Tailored analysis for your taste

STEP 1
Contact us for offline data you need*See [Details of data provided] above
STEP 2
loplat data expert for customized analysis will be assigned
STEP 3
Data extracted and receive results analysis* Tailored reports/dashboards available

Want to see the data directly
without an analyst?

Visitor’s journey-based analysis loplat i

loplat i provides a convenient and intuitive big data dashboard for users’ offline journey.

Commercial District / Foot Traffic Analysis#RealEstate #Franchise #PopUp store
Residential / Work Area Analysis#FlagshipStore #Landmark #EVChargingStation
Competitor Store / Brand Comparison Analysis#DepartmentStore #Outlet #Distributor #Mart

Looking for loplat i free trials?

From real-time marketing to analysis and performance measurement!

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