Discussions
Fatigue Model - Clear definitions for each fatigue level
How is each fatigue level calculated? I would like to understand more about each level. The definitions provided by Oracle are vague: https://docs.oracle.com/en/cloud/saas/marketing/eloqua-user/Help/AdvancedIntelligence/FatigueAnalysis/Tasks/FatigueAnalysis_Mechanics.htm.
For example, Saturated-medium => The contacts from this bucket received between X and Y emails within the past 6 months, and have an Open Rate between A and B%.
Are these details available anywhere?
Thanks in advance for your support.
Ioana
Comments
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@Ioana Stofor - LogDMS.com as I understood it from @Wren Ludlow-Oracle it's not quite as simple as above. The calculation is based on machine learning, so the calculations can change over time. And I wonder if it's a bit like showing the lead score versus showing Suspect, Inquiry, MQL etc.
For what it is worth we have found fatigue to be an excellent predictor of open rates. If fact for most marketing campaigns we now suppress oversaturated contacts by default, and saw a significant (expected) increase in open rates across the board. There was some panic as segment sizes reduced by quite a bit but when total unique opens remained static everyone started to understand it!
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@Greg_W, thank you so much for sharing your thoughts. I am also using the fatigue levels, and people keep asking about the algorithm and the logic behind the functionality. I guess we'll just have to trust Eloqua on this one. 😊
I appreciate you taking the time to reply to this.
Have a lovely Friday!
Ioana
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@Ioana Stofor - LogDMS.com - I get asked about the calculation too - and I reply that it's magic.... then follow that up with a clarification that it is actually based on machine learning and continually refined and adjusted - and also quite probably proprietary! I am about to post over in DreamIt to ask for fatigue over time for a contact to be made available. Right now all we know for a contact is their fatigue level now, but I want to be able to see it over time and plot the impact of comms on the score - so feel free to upvote that!
Greg
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I will definitely keep this in mind. You'll get my upvote :).
Ioana
