Journey AI Integartion in Adobe Campaign Classic v7 & v8 | Community
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Arthi-1
New Participant
November 1, 2023
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Journey AI Integartion in Adobe Campaign Classic v7 & v8

  • November 1, 2023
  • 2 replies
  • 1048 views

Hi Team,

 

Please give more details on Journey AI whether it supports Adobe Campaign classic v7 & v8. If not,what is the alternate solution we can look into Adobe campaign classic to implement  Send-time Optimization and  Engagement Scoring.

 

Thank you

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Best answer by Marcel_Szimonisz

Hello @arthi-1, i did once implemented send time optimization 🙂 but it was not AI.

 

  • We did the send time optimization with correlation analysis of send times and opens. You look if there is any relationship between send time and open. 
    //Convert the date and time information into a format suitable for analysis. //For example, you can represent the time of day as the number of minutes since midnight. var emailData = [ { sendTime: 8 * 60, open: 1 }, // Email sent at 8:00 AM and opened { sendTime: 9 * 60, open: 0 }, // Email sent at 9:00 AM and not opened { sendTime: 10 * 60, open: 1 } // ... (more data) ]; /* functions to calculate correlations ... ... */ //results Best send time: 10:00 Correlation for the best send time: 0.8579616512303485
  • Same you can come up with engagement scoring.

 

Ask GPT on both and how to implement them in JS ES5


Marcel

2 replies

D
druidajes
New Participant
September 25, 2024

Did you find out how to use predictive models?

Marcel_Szimonisz
Marcel_SzimoniszAccepted solution
New Participant
November 2, 2023

Hello @arthi-1, i did once implemented send time optimization 🙂 but it was not AI.

 

  • We did the send time optimization with correlation analysis of send times and opens. You look if there is any relationship between send time and open. 
    //Convert the date and time information into a format suitable for analysis. //For example, you can represent the time of day as the number of minutes since midnight. var emailData = [ { sendTime: 8 * 60, open: 1 }, // Email sent at 8:00 AM and opened { sendTime: 9 * 60, open: 0 }, // Email sent at 9:00 AM and not opened { sendTime: 10 * 60, open: 1 } // ... (more data) ]; /* functions to calculate correlations ... ... */ //results Best send time: 10:00 Correlation for the best send time: 0.8579616512303485
  • Same you can come up with engagement scoring.

 

Ask GPT on both and how to implement them in JS ES5


Marcel

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