VIDEO DEMO

Hyperlocal Geotargeting and Location Intelligence for Businesses

Better customer targeting with location intelligence

Rather than relying on guesses or incomplete metrics, businesses today are creating a complete data-driven picture to target locations with the highest business potential.

With all the data they need at their fingertips, businesses can view a ranking of their existing stores, identify localities in a city with the highest business potential, and prioritize opportunities for market expansion.

Watch the video demo to learn how an Indian business used location intelligence to find out exactly where to target new locations.

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All crucial data in one place

Businesses can combine location data of the target geographies with their own company data, such as store locations or sales performance, pulled from siloed CRM system and sales reports.

This can then be layered with data about points of interests, such as the location of nearby competitor stores, banks, residential complexes and other attraction points - all sourced from hundreds of high-quality public data sources.

Keys to smarter, more data-driven decisions

  • Identify stores and localities with the most points of interest and highest business potential.
  • Reach more consumers by activating existing stores in areas of high business potential.
  • Expand store network by opening new stores in high business potential to capitalize on demand.
  • Optimize returns on marketing spend by prioritizing the best locations to target.

Business potential for each store

Data lets businesses view business potential for each store, based on an analysis of nearby points of interest, such as banks, residential complexes and stores of competitors, along with other demographic and economic data.

This lets businesses create a strategy of which stores they should target with new products or services.

Business potential for each locality

Businesses can also layer store-level data with point-of-interest data for every location, to map areas of influence in the city using 2.5 km wide hexagonal grids.

This lets businesses find areas with high business potential but no existing company stores — the perfect locations for expansion.

CASE STUDY

Keep Reading

Learn more about how we helped one of India's telecom giants use hyperlocal business potential data to roll out a new product in Tier 2 cities.

Read the case study