Individual banks attempting to provide market share information for business customers using own data results in low market coverage. When combined, the picture becomes more accurate. When using this model, select one or more banks to see how accuracy increases the more banks are involved. The model is based on a fictitious restaurant in Barcelona city with simulated turnover, but market share metrics are fairly accurate.
ICESTAT CQ Simulator
Pollovacerdo · Meet & Eat
SIMULATED DATA
Market Share — Revenue Trend
Pollovacerdo vs Barcelona Market
Pollovacerdo revenue (SAB) vs visible market denominator (selected banks × BCN daily turnover)
Market Share & Trend
Market Share with Trendline
Pollovacerdo share of selected bank universe · linear trendline (OLS)
Daily Customer Volume
Pollovacerdo avg customers by day — SAB data
Revenue Composition
By spend category — Pollovacerdo (SAB)
Transaction Feed — Sample
Recent Transactions
SAB
| DATE | TIME | TYPE | DESCRIPTION | AMOUNT | RUNNING BAL |
|---|
Automated Insights