Skip navigation
1 2 3 Previous Next

See It

223 posts

Below is the detailed demonstration of the Asset Naming Convention design and workflow:


  1. Create a FORM say “A” in Eloqua with all the necessary fields you need in your Asset Name. For example: Prefix of the asset, Country, Industry, Month, Year, etc.


    2. Add the FORM “A” to the Landing Page say “ONE”.


    3. Create a Landing Page say “TWO” with form field merges, see below snapshot:


4. Add this Landing Page “TWO” to the FORM “A”  with Redirect to webpage processing step and choose the Landing Page “TWO". Don't forget to  choose Update Contacts – With Form Data processing step as this updates the contacts with form data that eventually help in populating field merge, see below snapshot:



5. Test the Landing Page “ONE”, see below outcome when the marketing users fill it. Share the Landing Page “ONE” URL with the marketing users, ask them to bookmark it to use it every time they create a new asset in Eloqua.


I hope this is helpful.

Working with a wide range of Eloqua customers, one issue that has come up frequently is around email frequency management. Sending contacts too much email too frequently can kill an opportunity fast and lead to bad spam reputation. But it's hard to track how often contacts are getting emails in any given week when you've got 3 or 5 or 30 different campaigns going - even if you have a sophisticated stoplight program in place.


Surveying activity histories, we noticed that many of our Eloqua customers had some portion of their contacts getting emailed more than 10 times per week, and often a lot more. There's also the ever-changing battle against abusive bots spamming your online forms.


We've created new intelligent analytics as a part of Motiva AI's smart Frequency Management system that lets you explore which contacts are getting what emails from which campaigns so you can do something about it. And we're already uncovering opportunities to improve as well as surfacing plenty of abusive bot behavior.


Screen Shot 2019-04-15 at 11.23.49.png


So: are you over-emailing? If you're not sure and want to see your own results, ping us and we'd be glad to show you. And even if you are sure, we might find something surprising.

We recently decided to use a ‘title drive’ to gather and update job titles for our contacts in order to better understand where they fit in our industry ecosystem. In doing this we would have cleaner data updated directly by the contacts themselves.  With better job title data, we can more effectively target our audience with engaging and timely content tailored to their specific role.  We decided to run our initial ‘title drive’ through an email marketing campaign with landing pages, prepopulated forms, and email autoresponders. We also added an A/B test to determine the most favorable subject line to get contacts to open.


Subject Line of email: We’re on a Title Search!

Landing page:

Title Drive 1.png

Subject Line of email: What’s Your Current Job Title? Action Requested

Landing page:

Title Drive 2.png


We sent it to two groups:1) the engaged, and 2) the dormant – those contacts who had not opened an email in three months. Our A/B testing included a Dormant A, Dormant B subject line test and an Engaged A, Engaged B subject line test. The target user path was to click the update/confirm title box which took the contact to a pre-populated landing page

Title Drive 3.png


This allowed us to not only gather their title, but allows us to confirm their email address. When they hit submit, we drove them to a thank you page:

Title Drive 4.png


The final part of the desired user path was for the user to receive an autoresponder email with their new title in it, just as a confirmation.

Email Body:

Title Drive 5.png


The other user path was the ‘no thanks’ path. We have been using this successfully to exclude people from remails and to preempt people from thinking they have to unsubscribe. It was very effective and we added a space for people to tell us why they won’t share their title with us. We also had a second ‘no thanks’ if they did not want to do either.


Title Drive 6.png

The Results:

The winner of the A/B test for both of our audiences was B: What’s Your Current Job Title? Action Requested. Our dormants converted at 3% (we were expecting 2%) and our engaged converted at 10% (we were expecting 6%), exceeding our expectations. We also got several thousand titles updated in our Eloqua database with correct title information, which was a huge win for us. And finally, we had less than 1% say ‘no thanks’, some of whom gave us free form comments as to why. All in all, it was hugely insightful and successful.


Lessons Learned:


No Thanks Path:
Some people said they would not provide their correct title information because they thought we already had it from another source.  Other people said they thought we were phishing so even though our campaigns were branded they were concerned about protecting their data (but they still felt comfortable enough offering this feedback.).


The shared mailbox:
We did not examine our list for group mailboxes, which wound up being an ah-ha moment for us. In one instance, the members from a group mailbox got caught in a cycle where one person in the group updated their title and the autoresponder sent thank you responses to everyone in  the group. This unnerved other recipients who thought the emails were spam/phishing. We were able to ‘fix’ this inline easily by updating the autoresponder to send one time instead of multiple times. It wasn’t a big deal for us since it was an internal campaign, but it’s something to keep in mind if you are doing an external customer campaign.


Timing: At the end of the calendar year and beginning of the new year many people get promoted or change jobs so we strategically planned our campaign to align with this time. It is helpful to catch people when they are excited about their new titles and are updating their linked in profile, email signature, etc. We will run another campaign of this kind as the results of our first one exceeded expectations.

This is me venting. Just got the word that Oracle will be making Eloqua CSMs a paid service going forward, so we will be losing our CSM. Anyone else heard about this yet? An enterprise product as robust and complex as Eloqua without CSMs seems ridiculous to me. Another example of Oracle making you pay to be successful with their product.

Hello Topliners,


Here is the situation.


We are uploading a list of custom data objects (that have no unique mapping).   They are set to map to contacts, so if the contact doesn't exist they will create one.  Every new CDO is added to a program canvas.  In what order are they processed. First in first out or is the batching modified once added to the canvas?

Few Important Points to attract your target list and make more open rates:


1) Add relevant content and most important titles should be in H1 Tags

2) Check or add Image Alt text's. Don't add higher resolution images in email template.

3) Keep CTA links in Top header section.

4) Avoid Email Id's in header or body section. Better to have it in footer section.

5) Get the Subject line Right

6) Keep Tracking parameters for the CTA link. It will be helpful for the reporting.

Audiences are key to everything marketers do, right? You can have the best content, timing, sequencing, and channel strategy in the world, but if you're not talking with right people none of it matters. This post outlines how it's possible to improve audience segmentation through message experimentation, and how you can deploy that learning into other marketing strategies beyond just email.


Audience understanding is often hard-won. A combination of intuition from personal experience, contact attribute requirements, and inputs from your team each play a factor in defining and refining audience segments. And often, once those segmentation definitions are established, they don't change very much.


One thing we've discovered running large scale campaigns for different customers is that with the right open attitude and some effective reporting, you can learn a lot from the results of testing different versions of messaging. It's something we frankly hadn't expected to see with Motiva AI, but very glad it is. Take a simple canvas campaign. The use case is the following:


  1. You have a segment for a given campaign. Think about a fairly generic campaign you might run over a larger audience, or one where you're just collecting new contacts automatically and flowing them into your pipeline.Screen Shot 2018-04-18 at 12.15.48.png
  2. You run a Motiva AI experiment step with a few variations of your message.
    Screen Shot 2018-04-18 at 12.15.06.png
  3. Motiva tracks response patterns from your populations on each message variation and gathers data as your campaign runs.
  4. You use the Who Responded report to see what Motiva is discovering about your audience. Here's where it gets interesting. More often than not, we're finding that within a more generic audience, there are actionable subpopulations who are responding to different versions of your messaging. Here's an example where we're looking at Company Size and Industry attribute data laid on top of response data across three versions of a message in our campaign:
    Screen Shot 2018-04-18 at 12.19.04.png

    Motiva lets you project whatever data you have on contacts against message response results. Here we're seeing that there are potentially at least two distinct subgroups - a Electronics industry group and a Charitable Organizations group who are responding to different messages at higher rates. Note that as opposed to what most marketers look to get out of messaging testing, we didn't get to a clear single message that was a "winner" for the larger population. That tells us that either our messages were equally good, too similar to make a difference, or that maybe we have subpopulations responding in different ways.


Now, maybe in the example here you realize you don't really care about the Charitable Organizations contacts because they aren't your ideal target customer. Yes, overall that Version A performed better than C, but that was among an audience that isn't your focus! You just learned that you could increase performance by tweaking your content to better fit the groups you DO care about. Maybe this is an opportunity to filter and re-segment. Maybe it's also an opportunity to use data to drive a discussion with the creative team about doing more of the stuff that works for the group(s) you're interested in. The point is that you're able to both accelerate your ability to target and adapt to your audiences, and improve the performance of your campaign.


You could imagine getting into a campaign creation pattern where you're constantly testing and refining those audience definitions not just on a campaign basis, but across your team. And as your team improves its audience intelligence, you can deploy that learning across your entire marketing strategy.


To make this super concrete, a large Eloqua customer ran a 12-way message test for an onboarding campaign triggered from an external download. Contacts flowed into their campaign, hit a Motiva step and Motiva executed the 12-way test as it received contacts. We were able to find a few different versions that the larger audience responded to (no single best message), but when the customer reviewed the campaign Who Responded report they realized they could use those results to target audiences much more precisely than they had been and corrected some assumptions along the way. They used these insight to improve and tighten up messaging, and then took several of the subpopulation definitions they discovered into improving PPC and SEO strategies. Team learning FTW!

Below are the basic steps on how to manage the "Success Pages" of a form (referenced in the processing steps as "Redirect to Web Page"


A good use case for this is when you want to use one form across multiple landing pages but want to control which success page the contact ends up on dynamically without having to build multiple form processing steps.


Step 1:

Build your landing page that will have the form. In the code for the form you will want to add a new "input" that has a value that is unique to that form/success page. In this case I used "Unique-Value-1". You will need to remember this value for later. For this input I used "RedirectCode" as the name and ID which you will need to remember for later. You can use any value here but will need to remember to add it to your form in step 4.



Step 2:

Build your success page. Once you have built it and saved it you will need to remember the ID that is listed in the url.

Step 3:

Create a new picklist.

To do this go to Settings > Manage Picklists > Picklist (top right corner) > New Picklist


After naming your pick-list you will need to have two values we identified in steps 1 and 2, one will be the value that is unique to the landing page and the other will the ID of the success page you want the contact to be redirected to. In the below screenshot you will see as the option value I entered the success page url id and in the option name I entered the uid I created for the form.



Click "Add" and then click save and close at the bottom.


Step 4:


Navigate to the form you would like to use. Click "Custom Fields" to add a new field and choose "Single Line Text". Under advanced settings update the HTML name to the name/ID we used in step 1. In this case it was "RedirectCode".



Step 5: Add a new "Redirect to web page" processing step and choose the "Send to an Eloqua Landing Page". Then choose "Use a picklist to select the landing page". The form field will be the new custom field you just created and the picklist will be whatever you named your picklist in step 3.



Click Save and test.


Few notes:


  • You can also use the same process with the auto responder emails by using the same ID from the email you want to send to them and creating a new pick-list that manages the auto responders.
  • It is tempting to use the ID that you are creating in Step 1 be the same url ID in step 2 but if you ever want to use the same success page for multiple landing pages it will quickly get confusing.
  • There is an alternative backup you could add with a new input value of "url" and then when you want to send them to a non-eloqua landing page you can manually enter the url in that input value. If you decide to do this you can add conditional values to both that processing step and the one created for this one essentially seeing if the "field not equaling blank" which should ensure the form steps do not get confused.

Hello All, the new Eloqua Insight (OBIEE) is coming and Classic Insight will be deprecated next year (Classic Insight Sunsetting (Sept 2018)). Unfortunately, there are a few features that were obvious to do in Classic that aren't so obvious in the new Insight. One of them being how to create a dynamic date filter (i.e last 1 day, last 7 days, last month, etc). In the new Insight, the options look to be for static ranges only. This is a problem if you have scheduled email reports that you want to see only recent data. An example we have is to see all the emails sent in the last week and the metrics around them that we receive on a weekly basis. We have found a way to use dynamic filters using SQL. Please see how we did it below.


1.  Find the report you want to add the filter to and hit 'Edit'


2. Click on the add filter icon


3. Select the date field you want to be dynamic. If the field isn't immediately there, click on the 'More Columns' option at the bottom


4. Set the operater to 'is greater than or equal to', select any date for the Value, and then check 'Convert this filter to SQL'


5. Remove everything after the '>=' symbols


6. In this scenario, we will be getting everything within the last 1 day. Replace what you deleted above with this code (not including quotes): "TIMESTAMPADD(SQL_TSI_DAY, -1, CURRENT_DATE)". The "-1" represents the amount of days and you can change the number depending on how many days you want to look back.

7. Click 'OK' and you now have a dynamic date filter.


Please note that this is something that we found ourselves and may not be officially supported by Eloqua. Please do not contact support with questions on how to do this. Happy to to field any questions you may have on this through the thread. Thanks!

AI is all over the news these days. It’s hard to know how to make it work for your marketing team. This post outlines some practical tips in using the Oracle Marketing Cloud and AppCloud offerings like Motiva AI to bring new adaptive intelligence capabilities into the way you design, execute, and improve your marketing programs.


When you get beyond the term “Artificial Intelligence”, you’re really just talking about software that learns to do things. There are lots of opportunities where you can get started with AI today that will have a measurable impact on your marketing. Here are five tips for how to go about it.


Tip #1: Start simple

Don’t try to take too much on with AI out of the gate. Start small, show some results, and then build on your success. Begin with simple proof of concept use cases that you can measure easily. A good candidate here is message testing in a single campaign – but going beyond simple A/B type testing. You can use a tool like our own Motiva AI to test and automatically find winning messages that lead directly to campaign response improvement. Profit!


Tip#2: Match the right task with the right tool

There are some tasks that machines tend to do better than people - and machine learning applications will get better at it over time. Here are some great candidates:

  • Audience segmentation and definition
  • Message testing and optimization
  • Personalization
  • Send time optimization
  • Data cleaning
  • Advanced analytics


Example: A large national healthcare company recently decided to focus on message testing and optimization, and used the Motiva AI Cloud for Eloqua on a patient-facing audience and saw a 200% difference in click-through rate by simply trying lots of message variations in the population. Motiva adapted to the audience preferences it observed, which allowed the campaign to adapt organically. A simple place to start, with big impact.


Tip #3: Look for “10x” opportunities

Ask yourself: where could we make the biggest impact in terms of customer response or labor savings? More often than not, machine learning can at least help the human marketers improve decision-making; in some cases, you can just outsource the entire workflow to intelligent helpers. Campaigns that most directly touch revenue or direct conversions are great places to improve pipeline dynamics.  Combine that with labor savings from automation. 


Tip #4: Measure and improve

It’s vital to think about what your definition of success is for a given use of machine learning and how you’ll measure progress towards your goals.


  • Will it be in terms of time saved for your marketers? Then track their time – develop a baseline for the workflow you’re interested in and the difference over time.
  • Will it be in terms of campaign performance? Again, make sure you’re collecting the data and reporting for the story you want to tell.
  • Will it be in terms of effects downstream in the sales process?  Ensure you can track your treatment effects all the way through your pipeline.


It’s not difficult, but you do have to do it. It’s just good modern marketing practice.


Tip #5: Remember it’s about your audience, not just the tech

Your number one concern should be how to develop that communication channel with your end audiences. Technology can be super useful here, but not all technology and not all the time. In terms of AI-driven tools, ask yourself:

  • Does this help me learn more about my customers and their needs?
  • Does it help me serve my customers better?
  • Does it strengthen the customer experience?


Make a connection between the tools you’re using and how they ultimately lead to positive customer impact.


The adaptive future

These tips are a place to begin to think about how to bring machine intelligence into your marketing. We are just seeing the start of a marketing revolution with machine intelligence combined with human intelligence.


For more information on Motiva AI, check out our free pilot in the Oracle AppCloud.

Hi Team,


how many attempts can be taken for Eloqua Master Exam 2017 as far i know for 2016 it's only 3 attempts is that same for 2017 ?

It's epically awesome!


The Inspired Marketing Podcast is a bi-weekly show for marketers, by marketers produced by Relationship One. We focus exclusively on inspiring stories of achievement, succcess, and transformation among modern marketers who are leveraging Oracle Marketing Cloud solutions. We've released over 10 episodes featuring the likes of the Chicago Bears, Optum, Mountain America Credit Union, Laser Spine Institute, Insperity, National Instruments and many other OMC all-stars.


We are lining up our roster for the next round of episodes. If you are interested in participating, you need only to share a few details about your story (alternatively we can also work with Markie submissions). Contact me ( if you are interested!

Meet this amazing Oracle Marketing Cloud (Eloqua) App: Custom Upload Wizard

With this app, you will be able to perform a clean contact upload, add contacts to new or existing shared list and associate contacts to marketing campaigns (for example, external marketing campaigns such as tradeshows or conferences.

Watch how it works through this video:


Upload Wizard.png

You can design your own subscription page for each region seperately instead of using elqoua's default one.


Steps are as Follows :

1) Design a Subscription page as you need with email groups field as check box

2) Create one Eloqua Form with same fields and Integrate with Fields in Subscription page

3) Use the Form processing steps -> Email Group - Subscribe/Unsubscribe, Subscribe contacts globally, Unsubscribe Contacts Globally based on email group value choosen.

4) Note the subscription list lookup id in the Email groups that you are using in the page.

5) Create one New Web data Lookup by Choosing


“Contact Group memberships” for data lookup type.

“Email address” As Data field and Save


and note the Data lookup key that was generated.


6) Use the Data lookup key and Email group lookup Ids in landing page and Test the results.


With Best Regards,

Gowtham Palaniswamy

Featuring fresh, lighter, brighter more welcoming feel and some fantastic new enhancements throughout the platform, the new user experience arrives for all customers  in February 2016.

It's more than just a pretty interface! Want a sneak peek?


Still curious? Visit the Eloqua Release Center to read through all of the details/FAQ's about the new user experience arriving in February 2016 and to view our exclusive Customer-Only Briefing session available on-demand now!

Filter Blog

By date: By tag: