Two different eras of marketing software
Eloqua is a deeply capable platform, and this page is not going to pretend otherwise. Campaign Canvas models multi-step journeys with real branching. Program Canvas processes data on a schedule. Lead scoring separates who someone is from what they have done. Security groups keep a global, multi-brand instance from turning into chaos. Very few tools handle that much complexity.
It was also designed for a world where all of your marketing data lived in your marketing platform. That world is gone. Product usage sits in Snowflake. Billing sits in a warehouse table. Intent scores come from a third party. Health metrics come from your data team. Eloqua cannot reach any of it natively, and no amount of admin skill closes an architectural gap.
Oracle’s answer has been to add AI features on top. Ours was to build the platform around them.
Count what Eloqua’s AI actually does
Eloqua has AI. It is worth being precise about what it consists of, because the list is shorter than the marketing suggests.
Advanced Intelligence generates up to five subject line options. It recommends an hour to send. It assigns a fatigue score. It suggests content blocks and drafts some copy. It produces a predictive lead score and an account intelligence readout. As of June 2025 the separate add-on purchase is no longer required, though the functionality still has to be requested and switched on in your environment rather than arriving enabled.
Now look at what every item on that list has in common. Each one is a single-step suggestion, offered to a person who is already sitting in the screen doing the work. None of them starts anything. None of them finishes anything. The audience still gets built by hand, the campaign still gets assembled by hand, the QA pass is still yours, the follow-up is still yours, and the reporting is still yours. Strip out the suggestions and the job is unchanged in every meaningful respect.
Then there is the harder limit. AI can only act on data it can see, and Eloqua’s AI can only see what already lives inside Eloqua. Your warehouse is not in that set and cannot be. So the model scoring your pipeline is reasoning over form fills and email clicks, while feature adoption, billing tier, support load, and every third-party intent signal sit in tables it will never read. A subject line suggestion written without knowing whether the recipient is a power user or a churn risk is a guess with better grammar.
That is the distinction. Eloqua’s AI decorates a workflow your team still performs end to end, using a fraction of the data that should inform it. Conversion unifies CRM objects, warehouse tables, and behavioral events into one schema first, then runs a native agent layer across the whole picture.
25 agents, and most of them never wait for you
Conversion ships 25 agents that own jobs rather than suggesting them. A sample of what runs without anyone opening the app:
On a standing schedule. List Hygiene runs Monday at 9am. Lead Routing runs nightly at 2am. Weekly Performance Digest lands Friday at 4pm. Nurture Gap Finder runs weekly, Re-engagement Wrangler monthly, Unsubscribe Investigator daily.
Continuously. Sync Watchdog catches a broken sync before your VP notices. Deliverability Watch checks every 30 minutes. Form Anomaly Detector runs hourly. Churn Risk Notifier, Lifecycle Stage Mover, Intent Signal Watcher, and Pipeline Reporter run on an ongoing basis.
On demand. MOps Intake triages incoming tickets. Audience Builder turns a plain-language request into a segment. Campaign QA checks a send before it goes out. Account Brief Writer, Localization Agent, and Webinar Follow-Up handle the work they are named for.
This is the part with no Eloqua equivalent. Program Canvas can move records on a schedule according to rules you wrote by hand, and it will do exactly that until you rewrite them. An agent evaluates the situation each run and produces an artifact for your review.
Governance is built into it. Each agent has explicit read and write permissions per object. Nothing ships, syncs, or sends until a human approves it. Every run is logged with its inputs, reasoning, tool calls, and outputs, so you can replay any decision an agent made. That combination is what gets an agentic platform through a security review instead of stuck in one.
The numbers follow. Teams report a 75% reduction in MOps time on recurring work and a 10x faster path from campaign request to launch. Requests arrive with a drafted campaign attached instead of a blank brief.
Scoring that keeps up with your pipeline
Eloqua’s scoring model is well designed and widely understood. Profile fit gets an A through D, engagement gets a 1 through 4, and sales learns to read the grid. The catch is that you defined those criteria, and they age. Most teams revisit the model once or twice a year, which means the score sales acts on today reflects what converted eighteen months ago.
Conversion’s scoring learns from your closed-won and closed-lost outcomes and retrains continuously as new deals close. It evaluates hundreds of signals across CRM, warehouse, and product data, including the ones Eloqua cannot see natively: feature adoption velocity, billing tier, support ticket volume, third-party intent. Every score comes with a breakdown of its top contributing factors, so it survives a pipeline review instead of becoming a number sales quietly ignores.
ABM, and the tools Eloqua needs you to buy
Eloqua ships account dashboards and aggregate engagement scoring, which is real. The constraint sits underneath it: Eloqua’s automation operates on records, not accounts. Firing a campaign when an account crosses a threshold means building custom objects and workarounds that translate account state back into record state.
The clearest evidence of the gap is how the ABM ecosystem integrates with Eloqua. To bring 6sense intent and predictive data in, your Eloqua administrators hand-build the required Custom Data Objects, then 6sense pushes scores through Eloqua’s Bulk API on a nightly sync, capped at 700 API calls a day. So the intent signal your campaign should react to arrives once overnight, into an object type limited to 25 per instance for reporting, that you needed a higher trim or the Data Tools add-on to create in the first place. Demandbase and similar platforms follow the same pattern. The account intelligence lives in one vendor, the execution lives in another, and your team owns the seam.
Conversion is account-native. Accounts, contacts, opportunities, and custom objects are related entities with full relationship mapping. Segment by account attributes, trigger workflows when account-level thresholds are met, and personalize by buying committee role, so the champion, the technical evaluator, and the economic buyer each get different content in a coordinated sequence. Target account lists come from a CSV, a Salesforce account view, or a dynamic query against warehouse data. Firmographics, product usage, intent scores from any provider, and custom account health metrics feed targeting directly, on your warehouse sync schedule rather than an overnight batch.
One platform instead of a stitched stack
Step back and count what a mature Eloqua instance actually costs to operate. Eloqua itself. The Standard or Enterprise trim, or the Data Tools Cloud Service add-on, before you can create a custom object. A reverse ETL vendor like Hightouch or Census to move warehouse data in. An ABM and intent platform whose data lands nightly in objects you maintain by hand. Often a BI resource who can build in Insight because marketing cannot. Then the integration surface between all of them, which is where your ops team’s week actually goes.
None of those tools is bad. The problem is that they exist to compensate for things the platform at the center cannot do, and every one of them is a contract, a sync to monitor, and a seam that breaks on its own schedule.
Conversion collapses the middle of that stack. Warehouse connections are included and configured by marketing ops in the UI. The data model is account-native, so intent and firmographics are attributes rather than a CDO integration project. Scoring trains on your own closed-won and closed-lost outcomes. Pipeline reporting reads the same source of truth the campaigns run on. Segmentation, personalization, workflows, and reporting operate on one schema, which means there is no seam between them to own.
The custom object ceiling
Most of the remaining friction traces back to how Eloqua stores anything that is not a contact or an account. Custom Data Objects were a real advantage when they shipped, and they carry structural limits that get more painful as a B2B motion gets more sophisticated.
A custom object record links to exactly one contact or account. Custom objects cannot link to each other. Only 25 can be enabled for Insight reporting, capped at 25 text, 10 numeric, and 10 date fields each, and the database tops out at 25 million custom object records. Creating custom objects at all requires the Standard or Enterprise trim or the Data Tools Cloud Service add-on.
So anything with real structure gets flattened. A subscription that belongs to an account and involves six contacts becomes six duplicated records, or one record attached to a single “primary” contact and a note in a runbook explaining where the other five went. Multiply that across products, events, contracts, and usage, and a meaningful share of your ops time goes to maintaining a shape the platform imposed on you.
Conversion models the relationship as many-to-many. One subscription record relates to every contact on the account at once, and the relationship itself carries fields: role, status, quantity, start date. The renewal owner and the three end users stay distinguishable without duplicating anything. Those objects are available in segmentation, Liquid templating, and workflow triggers, so the structure you model is the structure you can act on.
Your warehouse data, without the middleware
Eloqua has no native connection to a data warehouse. If product usage, billing status, health scores, or enrichment output live in Snowflake, BigQuery, or Databricks, getting them into Eloqua means Bulk API jobs, a reverse ETL vendor like Hightouch or Census, or a custom pipeline someone on the data team owns. Then it means a custom object to land the data in, and a Program Canvas step to keep it current. That is a second vendor, a second bill, and a second thing that breaks at 2am.
Conversion connects to Snowflake, BigQuery, Databricks, and Redshift directly. Write a query, pick a destination, set a schedule from every fifteen minutes to daily. Tables become contacts, custom objects, or events you can use in segments, personalization, and workflow triggers immediately. Marketing ops configures the whole thing in the UI. No separate product to license, no pipeline for engineering to babysit, no ticket to file to answer a question about your own customers.
The Salesforce integration reset
Oracle removed the native Eloqua Salesforce integration in the 25D release. Instances now run on the Salesforce Integration App, which processes through Program Canvas. Teams who made that move know what it cost: rebuilding imports with SOQL WHERE clauses, converting anything still on 15-character Salesforce IDs, and finding new answers for match and deduplication rules that Program Canvas does not support.
Conversion’s Salesforce sync is part of the platform, not an app installed on top of it. It runs bidirectionally at under two seconds average latency, and you control behavior per field with five sync modes: prefer Salesforce unless empty, always prefer Salesforce, always prefer Conversion, two-way where the most recent write wins, and do not sync. Conflict resolution is a setting rather than a support ticket. No query language to learn, no canvas to maintain, and no migration project the next time a vendor retires an integration.
Reporting your own team can run
Insight is a capable reporting engine. It runs on Oracle Analytics Server, so the ceiling is high and it can answer almost anything you can express.
Expressing it is the problem. Building in Insight is a BI skill, not a marketing skill, so most teams end up with two people who can build reports and a queue of everyone else waiting on them. A question as ordinary as which segments drove pipeline last quarter becomes a request with a turnaround time.
Conversion reports on pipeline from the same source of truth the campaigns run on. Segmentation, personalization, workflows, and reporting all read the same data, so the person who built the campaign can answer what it produced without opening a second tool or filing a request.
Speed, and who gets to build
Eloqua rewards expertise. That is a strength for the specialist who has mastered it and a constraint for everyone else. Campaign builds concentrate in a few certified people, routine requests queue behind them, and institutional knowledge walks out the door when someone changes jobs.
Conversion is built to be lived in eight hours a day. Drag-and-drop email with live CRM and warehouse fields, full Liquid when you want template power, a visual segment builder that gives you query-level control without SQL, and agents that draft the repetitive builds for review. More of your team can ship work, and the work ships faster.
Migration without a lost quarter
Leaving a mature Eloqua instance is the part every team worries about, and the concern is fair. Years of programs, scoring models, custom objects, and integrations represent real investment.
An in-house deployment strategist leads the migration, not an outsourced consultant, and covers contact records, email templates, workflows, scoring models, lists, segments, forms, and your Salesforce sync. Eloqua stays live the entire time while Conversion runs in parallel, so no campaign goes dark. The average is about four weeks, typically two to six depending on instance complexity, and cutover happens only after you have confirmed the new instance behaves the way you expect.
Who Conversion is built for
Conversion fits enterprise B2B teams who have pushed Eloqua as far as it goes. If your custom objects have been flattened into shapes nobody can explain, if the data that would sharpen your targeting sits in a warehouse your platform cannot reach, if pipeline questions route through a BI queue, and if campaign velocity depends on which two certified people are free this week, the platform has become the constraint. Conversion keeps the orchestration depth that made Eloqua worth running and adds the unified data layer, the agent workforce, and the build experience that B2B marketing needs now.