Customer Analysis utilises ANZ's retail spending data to provide a visual Dashboard to allow for a greater understanding of your Australian consumer spending habits. Spending insights are generated through data captured from credit card, debit card, BPAY and direct debit transactions, which is deidentified to remove all identifiable information to provide a range of customers spending and demographic insights.
The Dashboard displays the Customer Analysis National Summary Panel, Customer Postcode Heatmap and charts determined by the location selected.
- Customer Analysis is only available to view using a Chrome browser
- Customer Analysis data is updated on the 7th day of every month
- Customer insights are general in nature and contains no individual customer confidential information
Customer Analysis National Summary Panel
The Customer Analysis National Summary Panel shows key customer spending metrics based on the selected Business Entity and Time Range.
Customer Postcode Heatmap
The Customer Postcode Heatmap shows customer metrics based on selected Heatmap Metrics across Australia. For region specific spending insights, up to three catchment areas can be added.
- Unique Customers
- Average Customer Spend
- Average Transaction Spend
- Average Customer Frequency
- Most Valuable Customers %
Filters
Filter the data displayed in the Dashboard by:
- Last Month
- Last 3 Months
- Last 6 Months
- Last 12 Months
- Last 24 Months
Available charts
This chart shows the percentage of the population by age group. The data is from the Australian Bureau of Statistics’ most recent census. It is useful when comparing with Customer Demographics to understand where you are over or under-represented in relation to the total population. Those age groups where the ABS data is higher than your demographics, are groups that potentially have a larger area for growth over others.
This chart shows the average customer spend by age group. It is useful in identifying the value of your customers, helping your understanding of which age groups spend the most overall. The chart is calculated by dividing the total transaction value with the unique customer count for each age group. If there is insufficient data in selection, gaps and isolated points may occur.
This chart shows the percentage of unique customers by gender. It is useful in identifying where your largest customer base is and where you are over or under represented in relation to the total population. The ABS data is from the Australian Bureau of Statistics’ most recent census. The gender where the ABS data is higher than your demographics, is the gender that potentially has a larger area for growth. Click on the legends at the bottom to switch between your selected catchments.
This chart shows the average customer spend by age group. It is useful in identifying which customers are spending the most in a single transaction. The chart is calculated by dividing the total transaction value with the transaction count for each age group. If there is insufficient data in selection, gaps and isolated points may occur.
This chart shows the average transaction frequency by age group. It is useful in identifying which customers are transacting with you more frequently. The chart is calculated by dividing the total transaction count with the customer count for each age group. If there is insufficient data in selection, gaps and isolated points may occur.
This chart groups your customers into 10 segments based on their average customer value, with #1 segment being the most valuable 10% of customers and #10 segment being the least valuable 10%. A skewed graph indicates a smaller group of your customers make a large contribution to the overall spend. Click on a segment to reveal what proportion of the total spending they account for. Click on the legends at the bottom to switch between your selected catchments.
This chart shows the distribution of customer’s age brackets within each customer segment. It can help indicate if there is a high percentage of customers from a particular age group in your most valuable customer segment. Click on the legends at the bottom to switch between your selected catchments.
This chart shows the number of unique customers per month. It is useful in identifying how many customers are shopping at your stores over time. If this chart is trending upwards, it means that each month, more total customers are visiting your stores. If there is insufficient data in selection, gaps and isolated points may occur.
This chart indicates the relationship for your customers between how frequently they make transactions and the time since the last transaction.
Buckets on the right hand side of the graph contain customers that frequently make transactions and vice versa. Buckets at the bottom of the graph contain customers who have recently made a transaction. The circle indicates which buckets have more than 5% of your customers. Click on the legends at the bottom to switch between your selected catchments.
This chart shows the average transaction value per month. It is useful in identifying how customer spending habits have changed over time, particularly, how much they spend per transaction.
If this graph is trending upwards, it means that customers are spending more each time they go to the counter. If there is insufficient data in selection, gaps and isolated points may occur.
This chart shows the average customer spend per month. It is useful in identifying how valuable your customers are over time, particularly, how much they spend each month in total.
If this graph is trending upwards, it means that, overall your customers are spending more in your stores. If there is insufficient data in selection, gaps and isolated points may occur.
Customising Chart View
All charts can be customised to suit your preferences.
| Chart Menu | Description | |
| Toggle | Change the chart view to a normal distribution | |
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Tabulation | Change the chart display to a tabulation format |
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Age Groups | Select the age groups to include |
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Export | Export the chart data into CSV |
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Information | View a description of the spending insights presented in the chart |
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Close | Close the chart |
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Postcode Insights | Select the postcode spending insights to show or hide information on the chart |
Customise your Dashboard Layout
Click Edit to move, resize, add or remove charts:
Click Drag Widget to move charts to another position on the Dashboard. Click the bottom right-hand corner and drag to resize charts:
Click the Plus icon to add or remove charts and then select Add or Remove for the relevant chart:
Click Save to save any changes made to your Dashboard: