This post shares Fusion CX Analytics sample content as part of Oracle Fusion DataIntelligence (FDI), a family of prebuilt, cloud-native analytics applications for OracleFusion Cloud Applications. These sample artifacts are intended to demonstrate potential use cases, accelerate implementation efforts, and provide examples of how customers can extend and customize FDI content to meet their business needs. To explore additional reusable sample content, visit the FDI Library.
Content Description : This AI-enabled workbook combines campaign performance dashboards with an OAC AI Agent to provide an interactive analytics experience across email, landing-page, form, lead, and external campaign activities. Users can monitor campaign volume, evaluate email deliverability and engagement, analyze web and form conversion, compare campaign assets and lead sources, and identify campaigns that may require optimization. The AI Agent allows users to ask natural-language questions about campaign performance and receive relevant visualizations based on campaign, asset, account, contact, lead-source, and activity data.
Content Type: Workbook
Application: Fusion CX Analytics
Fusion Module: Eloqua, Fusion Marketing
Target Persona: Marketing Operations Manager, Campaign Manager, Demand Generation Manager, Revenue Operations Analyst, Digital Marketing Analyst, Marketing Performance Leader
Subject Areas: CX - Campaign Activity Detail Analysis
Business Use Case / Questions: This workbook helps answer:
- Which campaigns are generating the highest activity volume?
- How many emails were sent, delivered, opened, and clicked?
- Which campaigns have the strongest email engagement?
- Which campaigns have poor deliverability, bounceback, or unsubscribe performance?
- How are campaign activities trending over time?
- Which campaign types, products, or regions are driving engagement?
- Which campaigns are producing the most responses and new leads?
- How many landing page views are campaigns generating?
- Which landing pages or campaign assets are holding visitor attention?
- Are landing page visits converting into form submissions or leads?
- Which campaign assets are most effective?
- Which lead sources contribute most to campaign outcomes?
- Which accounts or contact domains are engaging with campaigns?
- Which campaigns need optimization based on low clicks, low conversion, or high unsubscribe rates?
- Which detailed campaign, asset, and activity records need further review?
Best Practices:
- Use campaign activity date filters to focus on the most relevant reporting period.
- Review campaign performance from reach to conversion rather than relying only on email volume.
- Use rate metrics such as delivered rate, open rate, clickthrough rate, and unsubscribe rate to compare campaign quality.
- Pair landing page views with form submissions and new leads to evaluate downstream conversion.
- Use top-N campaign and asset views to focus optimization efforts on the highest-impact areas.
- Use AI-generated responses to complement workbook visualizations and detailed records, and validate important business decisions against the underlying campaign data.
Pre-Requisites: Marketing Campaign Activity Detail Analytics Functional Area must be enabled
Download: Available in FDI Content Library
We’d love to get your feedback and business use cases to help build more sample FDI content.
