PassBy

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_servicesBuilt for real-world retail operations

Diagnose underperforming stores fairly

Separate controllable execution issues from external market effects before intervening.

Identify repeatable success

Understand which stores are genuinely outperforming due to favourable conditions rather than short-term noise.

Prioritise action across regions

Focus attention and resources where intervention will actually drive impact.

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Features Designed for Store Operations Teams

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Store operations teams are accountable for explaining performance, deciding when to intervene, and ensuring stores are assessed fairly. Without understanding what’s happening in the local market, those decisions are often based on incomplete or misleading signals.
Store Operations Dashboard

Understand whether underperformance reflects execution issues or broader market pressure before taking action.

Smart Benchmarks

Benchmark stores against realistic, market-specific peers rather than arbitrary averages.

Use comparisons that stand up to scrutiny in performance reviews and regional discussions.

Visits, Trips, and Spend

Combine multiple demand signals to validate whether a trend is real. Reduce overreaction by confirming changes across independent measures of demand.

Location-level accuracy

Reliable store-level signals, even in dense retail environments and multi-level malls where other tools struggle.

Powered by 15+ unique retail data sources.

Full access to insights that cover every aspect of physical retail.

Covering
Retail brands in the US.
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Proven in day-to-day retail operations teams

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Store operations teams use PassBy to:

• Support weekly and monthly performance reviews
• Prioritise interventions across regions
• Align central teams and field teams around the same evidence
• Avoid unnecessary operational changes driven by noise

(Same-store visits +4.2%)(Market-adjusted spend +3.6%)(Repeat visit rate +5.1%)(Visit-to-transaction conversion +1.8%)(Average basket size +2.9%)(Trips per customer +3.3%)(Local market demand index −1.2%) 
(Same-store visits +4.2%)(Market-adjusted spend +3.6%)(Repeat visit rate +5.1%)(Visit-to-transaction conversion +1.8%)(Average basket size +2.9%)(Trips per customer +3.3%)(Local market demand index −1.2%) 
Retail brands trust our tools
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