Accurat vs. Geoblink for Location Analytics

Discover how our data is different from other solutions and why real-world behaviour data is extremely powerful for your future decision making.

 

Accurat and Geoblink are both location intelligence solutions. But if Geoblink doesn’t meet your needs, Accurat offers much more than site-selection and network optimisation. With Accurat’s dashboards, you gain insight into real client behaviour and competitors, usable for expansion and beyond.

Accurat Geoblink
How it works

800,000+ share location data to derive store insights across industries

Geoblink is a Location Management Platform that aggregates data from telecoms, banking/card transactions, GPS providers, and public sources to deliver geospatial insights for Retail, Real Estate, and FMCG

Nature of panel
  • Proprietary SDK for data-collection

  • Data-brokers

 

  • Data-brokers (telecom partnerships)

  • Banking/card transaction data partners

  • GPS/navigation data providers

  • Public/government datasets
Representativity models in use
  • Socio demographic

  • Sublocality level

  • Ticket data

 

  • Socio demographic

  • Catchment area / polygon level

  • Transaction data (banking partners)

 

Insights to derive
  • Market penetration

  • Frequency

  • Recency

  • Budget spent

  • Dwell time

  • Transport insights

  • Origin-destination

  • Audiences attracted

  • Footfall

  • Cannibalization

  • Share of visits

  • Loyalty

  • Visit transfer

 

  • Footfall / pedestrian traffic

  • Catchment area analysis

  • Cannibalization simulation

  • Consumer flows (origin-destination)

  • Customer sociodemographic profiling

  • Sales forecast for new locations

  • Competitor proximity analysis

  • Events impact (alerts on events)

  • Territory management

  • Available property search

 

Depth of insights
  • National

  • Regional

  • Store level

  • Custom store groups

 

  • Regional

  • Store / point-of-sale level

  • Custom catchment areas / polygons

 

Audience profiling
  • RF(M) & Loyalty

  • Socio demographic

  • Behavioural intent

 

  • Socio demographic (age, gender, income, etc.)

  • Customer import & buying behaviour analysis

  • No native RFM loyalty scoring

 

Drive to store evaluation model

Incremental visits measured

Not available as a standalone drive-to-store attribution module; impact measured via footfall comparisons and event-based alerts

Competitor benchmarking
  • Unlimited # of brands

  • Cross-category

 

  • Competitor proximity and overlap analysis

  • Limited to brands within platform coverage area

 

Time-based comparisons

Back to 01/2020 for all competitors and parameters

 

Historical data available; depth of historical archive varies by data source and market; not explicitly published

 

Service model

Daily updated web-based dashboards for all parameters and brands

 

Web-based SaaS platform with map-centric dashboards; updates depend on data source refresh cycles (typically monthly for aggregate data)

Delivery times

Near real-time

Periodic / aggregate data (typically monthly refresh cycles; not near real-time)

Mapping

Building shapes for all of the locations of your brand and all locations of your competitors

Map-centric interface with catchment area polygons and isochrone mapping; point-of-interest level granularity; no building-shape level competitor mapping

Moments

Day specific (e.g. Saturday 01/04/2022)

Aggregate time periods (monthly, seasonal); no day-specific granularity reported

Pricing

Long-term contract for all locations (current & future) of your brand & competitors

Subscription-based SaaS pricing; scoped by number of locations, markets covered, and feature tier; bespoke enterprise agreements available

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