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Person/people and recipients

This sample will help you understanding the difference between a person/a people and a recipient in Adobe Campaign. We will send a delivery to several people to highlight the difference between people and recipients while detailing the calculation method for the following indicators:
  • Clicks
  • Distinct clicks for the population reached
  • Distinct opens for the population reached
  • Estimation of forwards
  • Raw reactivity
These indicators are used in the Tracking indicators report. For more on this, refer to Tracking indicators .
Three links are added to a delivery. It is sent to 4 recipients:
  • John Davis : this recipient does not open the email (and therefore does not click any links).
  • Marie Stuart : opens the email but does not click any links.
  • Florian David : opens the email and clicks the links 9 times. He also forwards the email to someone who opens it and clicks twice.
  • Henry Macdonald : this recipient has configured their internet browser to reject cookies. He opens the email and clicks the links 4 times.
The following tracking logs are returned:
To get a clearer idea of how people and recipients are counted, we are going to analyze the logs of each profile.

Step 1: John

John Davis does not open the email (and therefore does not click any links).
Since John neither opened nor clicked in the email, he doesn't appear in the logs.
Intermediate calculation:
Recipients who clicked
People who clicked
Recipients who opened
John
-
-
-
Intermediate total
0
0
0

Step 2: Marie

Marie Stuart opens the email but does not click any links.
Marie's open is displayed in the following log:
The open is assigned to a recipient: Marie. Adobe Campaign therefore adds a new recipient to the count.
Intermediate calculation:
Recipients who clicked
People who clicked
Recipients who opened
John
-
-
-
Marie
-
-
+1
Intermediate total
0
0
1

Step 3: Florian

Florian David opens the email and clicks the links 9 times. He also forwards the email to someone who opens it and clicks twice.
Florian's actions (one open and 9 clicks) appear in the following logs:
Recipients : the open and the clicks are assigned to the same recipient (Florian). Since this recipient is different from the previous one (Marie), Adobe Campaign adds a new recipient to the count.
People: Since this recipient's browser accepts cookies, we can see that the same identifier (UUID) is assigned to all click logs: fe37a503 [...] . Adobe Campaign correctly identifies these clicks as belonging to the same person. A new person is added to the count.
Intermediate calculation:
Recipients who clicked
People who clicked
Recipients who opened
John
-
-
-
Marie
-
-
+1
Florian
+1
+1
+1
Intermediate total
1
1
2
The following logs coincide with the open and two clicks carried out by the person whom Florian forwarded the email to:
Recipients : its open and clicks are assigned to the recipient who forwarded the email (Florian). Since this recipient has already been counted, the recipient count remains the same.
People : concerning clicks, we can see that the same identifier (UUID) is assigned to all logs: 9ab648f9 [...] . This identifier hasn't been counted yet. A new person is therefore added to the count.
Intermediate calculation:
Recipients who clicked
People who clicked
Recipients who opened
John
-
-
-
Marie
-
-
+1
Florian
+1
+1
+1
Unknown person
-
+1
-
Intermediate total
1
2
2

Step 4: Henry

Henry Macdonald has configured his internet browser to reject cookies. He opens the email and clicks the links 4 times.
The open and 4 clicks carried out by Henry appear in the following logs:
Recipients : the open and clicks are assigned to the same recipient (Henry). Since this recipient hasn't been counted yet, Adobe Campaign adds a recipient to the count.
People : Since Henry's browser does not accept cookies, a new identifier (UUID) is generated for each click. Each of the 4 clicks is interpreted as coming from a different person. Since these identifiers haven't been counted yet, they are added to the count.
Intermediate calculation:
Recipients who clicked
People who clicked
Recipients who opened
John
-
-
-
Marie
-
-
+1
Florian
+1
+1
+1
Unknown person
-
+1
-
Henry
+1
+4
+1
Intermediate total
2
6
3

Summary

At the delivery level, we have the following results:
  • Clicks (recipients who clicked): 2
  • Distinct clicks for the population reached (people who clicked): 6
  • Distinct opens for the population reached (recipients who opened): 3
Raw reactivity and estimation of forwards are calculated as follows:
  • Estimation of forwards = B - A (thus 6 - 2 = 4)
  • Raw reactivity = A / C (thus 2 / 3 = 66,67%)
In the following formulas:
  • A represents the Clicks indicator (recipients who clicked).
  • B represents the Distinct clicks for the population reached indicator (people who clicked).
  • C represents the Distinct opens for the population reached indicator (recipients who opened).