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Knowledge Base
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Getting started
Welcome!Module overview Understanding the building blocks of the modelPackage of articles to get you started Data sources & information about updatesThe RetailSonar business case: how to optimize your future network footprint ?
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Concepts & terminology
ActivationAggregated zone levelAverage basketBaseline networkBaseline periodBenchmarkingBrandCatchment areaChurn rateCompetitionCompetitive pressureUpdated platform terminologyConvenienceCoverage of KPIsCross-visit potentialCustomer areaDefault frameworkDetailed zone levelDeviation (LPF)Deviation map layerDrivetimeExperienceReality correction factorFrequencyFull market sizeFootprint periodGeocoderGross market spaceHalo-effectHALO uplift potentialInternal CannibalisationIsochroneKPILocation classificationLocation clusterLocation managementLocation Performance FrameworkLocation ViewLoyaltyMailboxes grossMailboxes netMarket sizeMarket ShareMarket sizingMacro environment indicatorsMaturityMicro accessibilityLocation characteristicsModuleUnprofitable locations w/o growth potentialObtainable market sizeOutperformersCar passage and footfallPassage confirmationPassage VisibilityPenetrationLocal activityPotlocProtection areaRoad segmentsSales KPIsSales per family/householdSales per mailboxSales per inhabitantSimulationSegmentOpportunity frameworkTarget audienceTemporary situationBenchmarkPredicted salesPredicted sales per mailboxPredicted market shareActual driving speedUnderperformers UrbanizationUser rolesVisibilityWillingness to travelWealth indexZone

Predicted sales per mailbox

The predicted sales per mailbox is calculated as the total predicted sales in a certain zone divided by the number of net mailboxes in that zone. 

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