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Accurat vs. Targomo 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 Targomo are both strong location intelligence solutions, but if Targomo doesn’t fully meet your needs, Accurat offers much more than a site-selection and network-planning tool. With Accurat’s dashboards, you gain insight into real client behaviour and your competitors, applicable beyond expansion and catchment modelling.
| Accurat | Targomo | |
|---|---|---|
| How it works | 800.000+ share location data to derive store insights across industries | Location intelligence platform (TargomoLOOP) powered by 250+ third-party geospatial datasets, plus an API suite (TargomoAPI) for routing, isochrones and reachability, and a GeoAI module for predictive modelling |
| Nature of panel | Proprietary SDK for data-collection | Aggregated third-party data sources (public sources such as OpenStreetMap, commercial data partners, and anonymised mobile-device foot-traffic providers) |
| Representativity models in use | Sociodemographic, Sublocality level, Ticket data
| Socio demographic / Grid-cell level (~100m H3 cells, down to 4m in dense zones) / No ticket data
|
| 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
| Catchment analysis / Footfall (absolute & index) / Staypoints / Vehicle traffic & AADT / Origin-destination (trip lengths) / Cannibalization / Competitor/POI overview / Correlation analysis / Reachability & travel-time analysis
|
| Depth of insights | National, Regional, Store level, Custom store groups
| National / Regional / Site (location) level / Custom catchments (micro, local, macro)
|
| Audience profiling | RF(M) & Loyalty, Sociodemographic, Behavioural intent
| Socio demographic / Spending power / Consumer segments (no RFM or loyalty profiling)
|
| Drive to store evaluation model | Incremental visits measured | Modelled reachability and predicted footfall via GeoAI (no measured incremental visits) |
| Competitor benchmarking | Unlimited # of brands, Cross-category
| POI-based competitor overview (dependent on POI dataset coverage)
|
| Time-based comparisons | Back to 01/2020 for all competitors and parameters | Limited historical depth; depends on individual third-party dataset refresh cycles |
| Service model | Daily updated web-based dashboards for all parameters and brands
| Web-based platform (TargomoLOOP) with periodically refreshed datasets, plus API access for developers |
| Delivery times | Near realtime | Structural data, refreshed on dataset-specific cycles |
| Mapping | Building shapes for all of the locations of your brand and all locations of your competitors | Grid-cell mapping (~100m, down to 4m in dense urban zones) and road-segment (edge) mapping |
| Moments | Day specific (e.g. Saturday 01/04/2022) | Aggregated periods (typical weekly/seasonal averages depending on dataset) |
| Pricing | Long-term contract for all locations (current & future) of your brand & competitors | Subscription licensing for TargomoLOOP, configurable by datasets, countries and user seats; pay-as-you-go pricing available for TargomoAPI (with €300 free credit) |
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