15.3%The Global Location Intelligence Market size is expected to reach $36 billion by 2028, rising at a market growth of 15.3% CAGR during the forecast period.

That’s a lot of potential location data providers coming onto the market in just 5 years! With so many options out there, and more to come, it’s going to get harder and harder for data consumers to find the right partner.

• Poor quality information means incorrect attributes are collected
  
• This means misinformation is ingested by your research team
  
• Updates are sporadic and the information collected is stale
• Stale and inaccurate information impacts the quality of your analysis
  

• Frequent updates build reliable market strategies
• Tenants change every day, and stale data misses these changes
• Updates shouldn't mean duplicate data or inconsistent attributes
  

• Primary sources are crucial - don't trust what comes from 3rd parties
  
• Machine learning is great, but human validation makes it better
  
• Whether chains are large or small, data quality control is key
• Accurate location data is key for every report – from void analysis to proximity reports

When you're doing historical analysis, what level of data metrics do you find the most useful?

40%of poll respondents said they used high-level data metrics. An example would be the number of specific brand locations changed per state.

40%of poll respondents said that they used mid-level of data metrics when doing a historical analysis. An example of a mid-level detail would be which regions had the most growth over time.

00% of poll respondents said that they used a nitty-gritty of data metrics when doing a historical analysis. An example of a mid-level detail would be specific trade areas.

20%of poll respondents said that they did not do historical analysis at all.

If you could pick the best metrics for your void analysis, what would they be?

80%of poll respondents said that demographic fit was one of the best metrics for their void analysis.

20%of poll respondents said that cannibalization rate was one of the best metrics for their void analysis.

100% of poll respondents said that monthly foot traffic was one of the best metrics for their void analysis.

40%of poll respondents said that the number of frequent co-tenants was one of the best metrics for their void analysis.