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Accurat vs. Placer.ai 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 Placer.ai both turn mobile location data into footfall insight, but they cover different markets. Placer's panel is built as a representative sample of the US population, and its platform delivers visits to locations across the United States. Accurat is built for European retail, with a proprietary SDK collecting consented, GDPR-first data across Europe. If you need granular, near real-time behaviour for your own and competitor locations in Europe, Placer offers no equivalent coverage.
| Accurat | Placer.ai | |
|---|---|---|
| How it works | 800.000+ share location data to derive store insights across industries | Panel of tens of millions of devices, combined with statistical analysis and machine learning, to derive foot traffic and visitation insights across industries |
| Nature of panel |
| Proprietary SDK embedded in third-party mobile apps for data-collection |
| Representativity models in use |
| Sociodemographic, Census block group level, Psychographic / behavioural modelling
|
| Insights to derive |
| Market penetration Frequency Recency Estimated spend / sales estimation Dwell time Origin-destination (True Trade Area) Audiences attracted Footfall Cannibalization Cross-shopping / share of visits Customer loyalty Customer transfer
|
| Depth of insights |
| National, Regional (state / DMA / CBSA), Property / store level, Custom venue groups
|
| Audience profiling |
| RFM & Loyalty Sociodemographic Psychographic & behavioural segmentation
|
| Drive to store evaluation model | Incremental visits measured | Incremental visits measured (offline attribution for online and offline campaigns) |
| Competitor benchmarking | Unlimited # of brands, Cross-category
| Chain-level benchmarking across an extensive venue database, Cross-category
|
| Time-based comparisons | Back to 01/2020 for all competitors and parameters | Historical data back to 01/2017 |
| Service model | Daily updated web-based dashboards for all parameters and brands
| Web-based dashboards with regularly updated reports and dedicated Customer Success Manager |
| Delivery times | Near realtime | Near real-time data (typically refreshed daily / monthly depending on report type) |
| Mapping | Building shapes for all of the locations of your brand and all locations of your competitors | Property-level polygons for brand and competitor locations across the U.S |
| Moments | Day specific (e.g. Saturday 01/04/2022) | Day specific (daily granularity available) |
| Pricing | Long-term contract for all locations (current & future) of your brand & competitors | Customized subscription packages priced by number of properties analyzed, user seats, modules and service level; free tier available |
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