Locus Intelligence detects dealer demand leakage by aggregating and analysing multiple signals that together indicate where brand demand is entering the network but not converting to brand-aligned sales.
Call handling signals are among the most direct indicators. Call response rates, callback speeds, and call duration distributions at specific locations can reveal patterns that suggest inbound brand enquiries are not being handled in a brand-aligned way. A location with high call volume but low conversion relative to its peers may be answering calls and recommending alternatives.
Review sentiment analysis reads the specific language customers use in their reviews across all dealer locations. Reviews that mention being shown alternative products, being told the brand’s product is unavailable when inventory data suggests otherwise, or receiving recommendations that led to a different purchase are leakage signals that appear in plain language if the data is being read systematically.
GBP performance benchmarking compares each location’s Google Business Profile metrics against the network average and against high-performing comparable locations. Locations that rank significantly below comparable peers on call volume, direction requests, and view-to-action conversion may have a visibility gap that reduces the inbound demand reaching the counter.
The platform does not make definitive attributions for any single data point. It identifies patterns across multiple signals over time that together build a picture of where leakage is most likely occurring, which then triggers an accountability workflow to investigate and address the specific location.
See how Locus Intelligence manages this across your dealer network in 30 days.