The Spike Is the Signal, Not the Story: AI and Account Prioritization in ABM
AI account prioritization reads the multi-contact engagement spike a static fit score misses, reprioritizing ABM account lists in real time before the buying window closes.
Software for maximizing your marketing while ensuring privacy compliance
Innovative solutions to do more with Marketing Automation platforms
Centralize Preference Management Across Your Organization
Visual Segmentation for Marketers
Integration solutions for Eloqua, Marketo, CRM, and other systems
Align corporate and marketing goals
Data capture strategy
Lead scoring, nurturing, segmentation strategy, and funnel framework
Measure results and plan improvements
Ensure compliance with privacy laws
Email, form, and landing page execution. Deliverability and reporting
Eloqua and Marketo specialists
Improve skills and increase productivity with custom online training and videos
Uncover opportunities to improve performance and outcomes
Enhance email impact through expert analysis
Platform installation, change management, and success planning
Data management and stewardship
System integration options using connectors and custom APIs
Custom cloud apps, HTML templates,
JavaScript, and responsive email
AI account prioritization reads the multi-contact engagement spike a static fit score misses, reprioritizing ABM account lists in real time before the buying window closes.
Campaign ROI prediction lets marketing ops flag a likely underperformer before a single email or landing page gets built, turning launch day into a data-backed...
Predictive signals marketing operations teams often miss, ROI risk, account spikes, data anomalies, show up too late on dashboards. Here is how AI closes that...
An AI marketing operations analyst is already automating the manual reporting, monitoring, and root-cause work analysts used to handle by hand.
Natural language segmentation lets marketing ops teams describe an audience in plain English and let AI build the filter logic, replacing manual work with a...
AI attribution modeling doesn't make attribution smarter, it makes it honest, reconstructing the real customer journey instead of a simplified, analyst-approximated version of it.
Software for maximizing your marketing while ensuring privacy compliance
Innovative solutions to do more with Marketing Automation platforms
Centralize Preference Management Across Your Organization
Visual Segmentation for Marketers
Integration solutions for Eloqua, Marketo, CRM, and other systems
Align corporate and marketing goals
Data capture strategy
Lead scoring, nurturing, segmentation strategy, and funnel framework
Measure results and plan improvements
Ensure compliance with privacy laws
Email, form, and landing page execution. Deliverability and reporting
Eloqua and Marketo specialists
Improve skills and increase productivity with custom online training and videos
Uncover opportunities to improve performance and outcomes
Enhance email impact through expert analysis
Platform installation, change management, and success planning
Data management and stewardship
System integration options using connectors and custom APIs
Custom cloud apps, HTML templates,
JavaScript, and responsive email
AI account prioritization reads the multi-contact engagement spike a static fit score misses, reprioritizing ABM account lists in real time before the buying window closes.
Campaign ROI prediction lets marketing ops flag a likely underperformer before a single email or landing page gets built, turning launch day into a data-backed...
Predictive signals marketing operations teams often miss, ROI risk, account spikes, data anomalies, show up too late on dashboards. Here is how AI closes that...
An AI marketing operations analyst is already automating the manual reporting, monitoring, and root-cause work analysts used to handle by hand.
Natural language segmentation lets marketing ops teams describe an audience in plain English and let AI build the filter logic, replacing manual work with a...
AI attribution modeling doesn't make attribution smarter, it makes it honest, reconstructing the real customer journey instead of a simplified, analyst-approximated version of it.
CO Cloud Feeder allows you to add CO Records to any Program Canvas based on filters configured in the app.
This document will show how this Cloud App can be used inside Program Canvas for Custom Objects.
Please follow these instructions to set up this cloud app in your Oracle Eloqua instance.
NOTE: If prompted to log again, please do so.
The following instructions show a basic/simple usage. You can incorporate this Cloud App to any existing Program Canvas for Custom Objects.
You will need a user to log in and configure this Cloud App. If you don’t have one, you can create one. If you do, use your user to Log In in the page shown in the following screenshot:
Notes: You can create up to 5 filter criteria and use “AND/OR/NOT” logic to create complex filters for your CO records.
Note that Eloqua supports only a limited number of filter-formats, specifically the ones in the following screenshot:
If you need something different than the previous ones, we encourage you to test enough and make sure the results are what you’re expecting.
If you add a filter that needs to be removed just click on the trash can icon to the right of the filter line.
There are some new operators:
Note: Eloqua does not allow more than 2 date fields to be included in one filter
To configure the Scheduler, you need to:
That’s all. Activate the Program and see the CO Cloud Feeder add CO records to it!
You need a license to configure and execute this Cloud App. If you don’t have a license, an error message will appear on the configuration page.
If you don’t see CO Records being processed by the app, it may be because your license is missing or expired. To obtain a license, contact your account manager or contact us.