Accurat vs CARTO | Real-World Consumer Behaviour vs Spatial Analytics

	Accurat	CARTO
How it works	800.000+ share location data to derive store insights across industries	Cloud-native GIS platform: spatial analysis & visualisation tools powered by user-connected cloud data warehouses (BigQuery, Snowflake, Databricks, AWS, Azure). No proprietary panel, relies on third-party data providers
Nature of panel	Proprietary SDK for data-collection	No proprietary panel. Data sourced via CARTO Data Observatory (12,000+ curated third-party datasets) or user’s own cloud data warehouse
Representativity models in use	Sociodemographic, Sublocality level, Ticket data	Dependent on connected data sources. Supports H3 spatial indexing for multi-resolution geographic analysis. No standardised representativity model; analytical framework defined by the user
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 / POI visits (via third-party mobility data) ✓ Origin-destination ✓ Trade area analysis ✓ Catchment areas ✓ Site suitability scoring No native out-of-the-box retail KPIs (market penetration, recency, loyalty, share of visits, cannibalization). These require custom workflow build by the user using the Analytics Toolbox.
Depth of insights	National, Regional, Store level, Custom store groups	✓ National ✓ Regional ✓ H3 grid / custom polygon level No pre-built store-group concept; custom aggregations built by the user in Workflows
Audience profiling	RF(M) & Loyalty, Sociodemographic, Behavioural intent	✓ Socio demographic (via Data Observatory) Limited RFM: requires custom analysis using user’s own transaction / CRM data. No out-of-the-box behavioural intent segmentation.
Drive to store evaluation model	Incremental visits measured	Not available as a pre-built feature. Incremental visit measurement requires custom modelling by the user
Competitor benchmarking	Unlimited # of brands, Cross-category	Possible via third-party mobility / POI datasets ingested by the user. No native competitor benchmarking module; requires custom workflow setup
Time-based comparisons	Back to 01/2020 for all competitors and parameters	Dependent on user’s connected data sources. Historical depth is determined by the datasets subscribed to via Data Observatory or loaded into the user’s cloud data warehouse
Service model	Daily updated web-based dashboards for all parameters and brands	Cloud-based web platform (CARTO Builder + Workflows). Dashboards and analyses are built and maintained by the user or with support from Professional Services
Delivery times	Near realtime	Real-time / near real-time analysis possible when connected to a live cloud data warehouse. Refresh cadence depends on user’s data pipeline setup
Mapping	Building shapes for all of the locations of your brand and all locations of your competitors	Highly flexible: polygon, point, H3 grid, and custom geometries. Visualisation of billions of data points via CARTO Builder (powered by deck.gl / WebGL). POI building footprints subject to third-party data availability
Moments	Day specific (e.g. Saturday 01/04/2022)	Temporal granularity determined by user’s data. Supports hourly, daily, weekly, monthly aggregations when underlying data allows
Pricing	Long-term contract for all locations (current & future) of your brand & competitors	Enterprise, Strategic, and Custom tiers (quote-based). Priced by usage quota consumption and deployment model (Cloud / Self-hosted). 14-day free trial available. Marketplace payment options available on GCP, AWS and Azure

Accurat

CARTO

How it works

800.000+ share location data to derive store insights across industries

Cloud-native GIS platform: spatial analysis & visualisation tools powered by user-connected cloud data warehouses (BigQuery, Snowflake, Databricks, AWS, Azure). No proprietary panel, relies on third-party data providers

Nature of panel

Proprietary SDK for data-collection

No proprietary panel. Data sourced via CARTO Data Observatory (12,000+ curated third-party datasets) or user’s own cloud data warehouse

Representativity models in use

Sociodemographic, Sublocality level, Ticket data

Dependent on connected data sources. Supports H3 spatial indexing for multi-resolution geographic analysis. No standardised representativity model; analytical framework defined by the user

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 / POI visits (via third-party mobility data)
✓ Origin-destination
✓ Trade area analysis
✓ Catchment areas
✓ Site suitability scoring
No native out-of-the-box retail KPIs (market penetration, recency, loyalty, share of visits, cannibalization). These require custom workflow build by the user using the Analytics Toolbox.

Depth of insights

National, Regional, Store level, Custom store groups

✓ National
✓ Regional
✓ H3 grid / custom polygon level
No pre-built store-group concept; custom aggregations built by the user in Workflows

Audience profiling

RF(M) & Loyalty, Sociodemographic, Behavioural intent

✓ Socio demographic (via Data Observatory)
Limited RFM: requires custom analysis using user’s own transaction / CRM data. No out-of-the-box behavioural intent segmentation.

Drive to store evaluation model

Incremental visits measured

Not available as a pre-built feature. Incremental visit measurement requires custom modelling by the user

Competitor benchmarking

Unlimited # of brands, Cross-category

Possible via third-party mobility / POI datasets ingested by the user. No native competitor benchmarking module; requires custom workflow setup

Time-based comparisons

Back to 01/2020 for all competitors and parameters

Dependent on user’s connected data sources. Historical depth is determined by the datasets subscribed to via Data Observatory or loaded into the user’s cloud data warehouse

Service model

Daily updated web-based dashboards for all parameters and brands

Cloud-based web platform (CARTO Builder + Workflows). Dashboards and analyses are built and maintained by the user or with support from Professional Services

Delivery times

Near realtime

Real-time / near real-time analysis possible when connected to a live cloud data warehouse. Refresh cadence depends on user’s data pipeline setup

Mapping

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

Highly flexible: polygon, point, H3 grid, and custom geometries. Visualisation of billions of data points via CARTO Builder (powered by deck.gl / WebGL). POI building footprints subject to third-party data availability

Moments

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

Temporal granularity determined by user’s data. Supports hourly, daily, weekly, monthly aggregations when underlying data allows

Pricing

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

Enterprise, Strategic, and Custom tiers (quote-based). Priced by usage quota consumption and deployment model (Cloud / Self-hosted). 14-day free trial available. Marketplace payment options available on GCP, AWS and Azure

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Accurat vs. CARTO for location analytics

Instant insights, smarter decisions. Get started with Accurat today.

Instant insights, smarter decisions.  Get started with Accurat today.