Bookshelf Home | Contents | Index | Search | PDF |
Siebel Analytics User Guide > Siebel Marketing Analytics >
Siebel Marketing Analytics Dashboards
Siebel Marketing Analytics dashboards are available to users of Siebel Marketing Analytics.
Campaign Performance Dashboard
This dashboard accesses information about campaign performance by metrics, such as ROI, response rate, leads generated, and orders booked. You can analyze these metrics from several points of view. For example, at one time, you may analyze the response rate for a given offer within a campaign. At another time, you may analyze the response rate for the same offer, but across various campaigns.
Each page tab on the dashboard contains reports that provide analyses about a particular dimension, such as programs, offers, and segments. Reports on responses, opportunities, and orders allow you to analyze by facts for campaigns.
Marketing Executive Dashboard
This dashboard provides information about key areas of the business. Reports on this dashboard show the status of all current marketing programs in the aggregate. Executives can then drill into details. Some reports allow executives to view how the marketing budget is being spent by various types of programs, such as cross-sell, acquisition, and so on, as well as by region.
A report showing the distribution of marketing dollars, spent across the customer base, allows executives to obtain information by customer attributes, such as gender and age. If the programs are business-to-business (B2B), these attributes can be replaced by account attributes, such as Account Vertical, Region, and so on.
This dashboard also contains reports, such as Top 10 Product Lines, Segments, Accounts, and Partners. Some reports highlight the challenges facing a marketing department, such as pipeline overview, the top five competitors, competitive opportunity revenue, and programs that are performing poorly.
Customer Insight (Business) Dashboard
This dashboard provides customer-centric analysis of a business customer base. It analyzes the demographics of the customer base, based on RFM metrics, number of products owned, and loyalty metrics.
This dashboard contains product affinity analyses that show product purchase behavior, as follows:
- The Market Basket report shows the frequency with which products are purchased together in the same order. You can group this information by account attributes, such as SIC codes, Vertical, Region, Revenue Growth Category, RFM, and so on. The report also shows orders in a certain order date range only. Additionally, this report analyzes the products, in the same order, that earn the maximum margin, maximum revenue, and so on.
- The Next Product Purchased report shows which products follow the purchase of other products. This analysis can also be done on a product line basis.
- The Product Propensity report shows which product purchases tend to group together over time. For businesses that purchased a particular product, such as a high-end server, you can see the other products that they purchased most frequently.
Several reports in this dashboard also assist with elements of enterprise contact planning, as follows:
- The Over and Under-promoted Customers report groups customers by the number of times they were promoted. From this report, you can drill down to a report that shows the propensity to respond. The report groups responders into High, Medium, and Low response categories. Drilling down again shows how much revenue the selected group earned.
- The Promotion Frequency Analysis of Accounts report groups customers by the gap between promotions.
- The Overlap of Campaigns with Other Campaigns by Account report analyzes the overlap in promotions to the same accounts. The analysis can be performed by Campaign Name, Campaign Type, and Campaign Division. After a campaign is populated in Siebel Marketing, and after the data is brought into the Siebel Data Warehouse prior to campaign execution, this report can show which divisions and campaigns are promoting to the same accounts.
Customer Insight (Consumer) Dashboard
This dashboard provides customer-centric analysis of a consumer customer base. It analyzes the demographics of the customer base, based on RFM metrics, number of products owned, and loyalty metrics.
This dashboard contains product affinity analyses that show product purchase behavior, as follows:
- The Market Basket report shows the frequency with which products are purchased together in the same order. You can group this information by account attributes, such as SIC codes, Vertical, Region, Revenue Growth Category, RFM, and so on. The report also shows orders in a certain order date range only. Additionally, this report analyzes the products, in the same order, that earn the maximum margin, maximum revenue, and so on.
- The Next Product Purchased report shows which products follow the purchase of other products. This analysis can also be done on a product line basis.
- The Product Propensity report shows which product purchases tend to group together over time. For customers who purchased a particular product, such as a laptop computer, you can see the other products that they purchased most frequently.
Several reports in this dashboard also allow you to perform elements of enterprise contact planning:
- The Over and Under-promoted Customers report groups customers by the number of times they were promoted. From this report, you can drill down to a report that shows the propensity to respond. The report groups responders into High, Medium, and Low response categories. Drilling down again shows how much revenue the selected group earned.
- The Promotion Frequency Analysis of Accounts report groups customers by the gap between promotions.
- The Customers in Overlapping Campaigns report analyzes the overlap in promotions to the same customers. The analysis can be performed by Campaign Name, Campaign Type, and Campaign Division. After a campaign is populated in Siebel Marketing, and after the data is brought into the Siebel Data Warehouse prior to campaign execution, this report can show which divisions and campaigns are promoting to the same customers.
Bookshelf Home | Contents | Index | Search | PDF |
Siebel Analytics User Guide Published: 18 April 2003 |