Oracle CX Marketing Eloqua unleashes
Advanced AI features for all clients
Great news for all Oracle Eloqua users! Oracle has announced that its cutting-edge Advanced Intelligence (AI) features are now available to all Eloqua clients at no additional cost. This means you can now leverage the power of both generative and classic AI to significantly boost your marketing campaigns, improve customer engagement, and drive superior results.
Last updated: 27th May, 2026
What’s on Offer?
As of 12th June 2025, you can request to have these powerful AI features enabled in your Eloqua environment. Oracle will be proactively reaching out to all customers over the coming month, but if you’re eager to get started, you can request activation straight away.
Here’s a glimpse of the AI features you can unlock today
Fatigue Analysis
Send Time Optimisation
Account Intelligence
Generative AI
Fatigue Analysis
Say goodbye to over-messaging. This feature helps you avoid bombarding your audience, leading to increased engagement.
Each contact is assigned a Fatigue Level e.g. Inactive, Just right, Oversaturated High, Medium, Low, Saturated High, Medium, Low or Undersaturated.
You can add these filters to Segments, Shared Filters and apply them to your Lead Score Models and more.
Send Time Optimisation (STO)
Ensure your messages land at the most impactful moment, reaching your audience when they’re most likely to engage.
Each client will have their specific use case for STO. An obvious use case for many Eloqua clients will be lead nurture and always-on campaigns where the delivery date and time of particular emails is not critical.
Maximising Eloqua Advanced Intelligence: An introduction
Oracle Eloqua Advanced Intelligence is now included as standard in the Eloqua platform.
It uses artificial intelligence to help you make better decisions, personalise your communications, and increase engagement.
Read further and access the webinar replay today to discover how.
Account Intelligence
Gain deeper, more actionable insights into your most valuable accounts.
For Eloqua clients with a developing or evolved Account-Based Marketing strategy, the Account Performance dashboard will provide a new level of insight.
Generative AI | Updated 15th October 2025
Revolutionise your content creation! Instantly generate subject lines and craft or rewrite content for emails, landing pages, shared and dynamic content (with some considerations for the latter), and SMS messages, all directly within Eloqua.
Update October 2025 | Gen AI Services are now also available via the Frankfurt region. This is in addition to the existing Chicago (USA) region already available.
Eloqua environments located within PODs 6, 7 & 8 that have Gen AI feature enabled will start to have their Gen AI requests processed via Frankfurt by default after the arrival of the 25D release*. The change will be rolled out gradually to Eloqua environments in POD 6, 7 and 8.
Please be advised that there are no changes for Eloqua environments on PODs 1, 2, 3, and 4 that have the Gen AI feature enabled, and they will continue to be processed via Chicago (USA).
NOTE: *Release 25D will be rolled out to all PODS beginning 31st October, 2025 – 15th November, 2025.
Expert guidance for your Eloqua AI journey
Our team of Eloqua experts is ready to assist you and your team in harnessing the power of these new features. We can offer tailored advice on how to leverage these Advanced AI capabilities best to foster innovation and enhance efficiency, tailored to your business and existing Eloqua setup.
Start experimenting
Once enabled, you can immediately begin exploring AI-powered recommendations and insights directly within your familiar Eloqua workflow.
We’ll be exploring these features over the next few months. Keep an eye out for invitations from the Eloqua User Group to learn more in the coming weeks.
Not already subscribed? See below….
Getting access to these exciting new capabilities is straightforward.
To enable the AI features in your Eloqua instance, Marketing Cube clients can log a Service Request with our Support Team.
Oracle clients must go to My Oracle Support and open a Service Request (SR). For detailed information on what to include in your request, visit Oracle Cloud Customer Connect.
Learn more
To familiarise yourself with the new features, explore these resources from Marketing Cube and Oracle:
Eloqua AI Overview
Check out the “Learn More About AI for Eloqua” guide in the Oracle community, which includes videos and FAQs.
Subscribe to the Eloqua User Group
If you’re not already subscribed to the Eloqua User Group, subscribe today and attend our complimentary monthly webinar for all Eloqua clients. Details will follow shortly about how to use these AI tools in Eloqua.
Practical video training | Oracle
Access the “AI for CX Marketing: Oracle Eloqua” course (49 minutes) for practical video training. Please note an Oracle University subscription is required for this.
Power hour session | Oracle
Join their “Power Hour Session on June 26: AI in B2B Marketing & Eloqua” to explore how AI is reshaping B2B marketing, enabling more intelligent segmentation, optimised engagement, and better results with Oracle Eloqua.
Visit some of our recent Eloqua User Group webinars
Frequently Asked Questions
1. What are the main benefits of integrating advanced AI into a marketing automation programme? Advanced Artificial Intelligence (AI) helps modern marketing teams make data-driven decisions, personalise communications at scale, and boost overall engagement. By utilising both predictive capabilities (classic AI) and content creation tools (generative AI), marketers can transition from generic campaigns to highly tailored customer experiences.
2. How does AI-driven fatigue analysis prevent subscriber burnout? Audience fatigue analysis uses machine learning to assess how often your contacts are being messaged across all campaigns. It assigns a fatigue level to each individual, ranging from ‘undersaturated’ to ‘oversaturated’. Marketers can use these insights to filter their segments and lead scoring models, ensuring they do not over-message contacts and inadvertently increase unsubscribe rates.
3. What is Send Time Optimisation (STO), and how does it work? Send Time Optimisation uses predictive AI to examine historical engagement data for each contact. Instead of sending an email blast to an entire list simultaneously, STO automatically delivers the message at the specific time and day each recipient is historically most likely to open and read it.
4. What are the best use cases for Send Time Optimisation? STO is highly effective for ‘always-on’ campaigns where the exact delivery time is not time-sensitive. Excellent examples include ongoing lead nurturing sequences, automated welcome journeys, and monthly newsletters where reaching the inbox at the optimal moment of consumer behaviour is key.
5. How can B2B marketers leverage Account Intelligence? Account Intelligence aggregates individual engagement data to provide a macro view of an entire business account. For organisations practising Account-Based Marketing (ABM), this provides deeper insights into account-level performance. It allows marketing and sales teams to see which target companies are engaging most with their content, making it easier to prioritise high-value corporate leads.
6. How is Generative AI reshaping content creation within marketing platforms? Generative AI enables copywriters and marketers to instantly generate email subject lines, rewrite copy, and draft landing pages, SMS, and newsletter content directly within their campaign creation tools. This significantly reduces production time and helps teams experiment with different tones of voice and messaging variations more efficiently.
7. Are there data residency considerations when enabling generative AI tools? Yes. Depending on your business’s compliance requirements, it is vital to understand where your generative AI data requests are being processed. Many enterprise platforms handle AI requests across varying regional cloud hubs (such as Europe or North America). Organisations must ensure their AI deployment complies with local data privacy regulations and internal data governance policies.
