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SOLVED

Visits on Products

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Level 1

Hi all,

 

If I have a table with "Visits" on the column and "Product" on the row, how are products assigned to visits?

Say, a user visits my website, and browsed Product A, then Product B.

Will the table show this visit under Product A or Product B?

 

Thank you 🙂

1 Accepted Solution

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Correct answer by
Community Advisor

Both.

 

Let's use your simple example.

 

If you do a product breakdown, and use the visits metric (and the user hit both products in the same visit):

 

|                                      |              Visits |                UVs |                 PVs |

| (Total)                           |                    1 |                     1 |                      2 |

| Product A                     |                     1 |                     1 |                      1 |

| Product B                     |                     1 |                     1 |                      1 |

 

 

When you look at each product individually, Product A had 1 Visits. Product B also had one Visit. But the same user, on the same visit hit BOTH products, so at a Total level, you still only have had 1 visit. In this case, both the Visits and UVs shouldn't add up, they are de-duplicated at the Total Level, because it was still only a single user on a single visit.  The Page Views for each product count as 1, and because each product was on a separate view/page, the totals will add up to 2.

 

If we were to look at a similar behaviour, but say that the same user hit Product A on their first visit, then later on hit Product B on their second visit, the data would look like:

 

|                                      |              Visits |                UVs |                 PVs |

| (Total)                           |                    2 |                     1 |                      2 |

| Product A                     |                     1 |                     1 |                      1 |

| Product B                     |                     1 |                     1 |                      1 |

 

 

The UVs are still de-duplicated, because the visitor is the same, but the products were viewed on separate visits, and therefore, each visit is counted against the product that was viewed, and the total visits becomes 2 since there were 2 separate visits.

 

 

Any dimension broken down this way should act in the same manner.... Visits and UVs (which can roll up based on the context) will show against the all rows of data that are relevant, but the totals will be de-duplicated. PVs don't roll up (well sort of... products can technically have multiple items tracked on the same view - such as if you were looking at Cart Views for instance... every product in the cart would be on the same page view, and in this scenario, the PVs would also de-duplicate), but for the most part... one item per page, the totals should add up to the total shown.

View solution in original post

3 Replies

Avatar

Correct answer by
Community Advisor

Both.

 

Let's use your simple example.

 

If you do a product breakdown, and use the visits metric (and the user hit both products in the same visit):

 

|                                      |              Visits |                UVs |                 PVs |

| (Total)                           |                    1 |                     1 |                      2 |

| Product A                     |                     1 |                     1 |                      1 |

| Product B                     |                     1 |                     1 |                      1 |

 

 

When you look at each product individually, Product A had 1 Visits. Product B also had one Visit. But the same user, on the same visit hit BOTH products, so at a Total level, you still only have had 1 visit. In this case, both the Visits and UVs shouldn't add up, they are de-duplicated at the Total Level, because it was still only a single user on a single visit.  The Page Views for each product count as 1, and because each product was on a separate view/page, the totals will add up to 2.

 

If we were to look at a similar behaviour, but say that the same user hit Product A on their first visit, then later on hit Product B on their second visit, the data would look like:

 

|                                      |              Visits |                UVs |                 PVs |

| (Total)                           |                    2 |                     1 |                      2 |

| Product A                     |                     1 |                     1 |                      1 |

| Product B                     |                     1 |                     1 |                      1 |

 

 

The UVs are still de-duplicated, because the visitor is the same, but the products were viewed on separate visits, and therefore, each visit is counted against the product that was viewed, and the total visits becomes 2 since there were 2 separate visits.

 

 

Any dimension broken down this way should act in the same manner.... Visits and UVs (which can roll up based on the context) will show against the all rows of data that are relevant, but the totals will be de-duplicated. PVs don't roll up (well sort of... products can technically have multiple items tracked on the same view - such as if you were looking at Cart Views for instance... every product in the cart would be on the same page view, and in this scenario, the PVs would also de-duplicate), but for the most part... one item per page, the totals should add up to the total shown.

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Level 1

Thank you for your reply! That cleared things up for me 🙂 

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Community Advisor

You're welcome.. it can be a little hard to wrap your head around sometimes when you are starting out....

 

Just remember that Page Views tracks each page (which should have the highest count - well aside from Occurrences), Visits should be the next highest (each a user comes to the site) and then Unique Visitors (which is technically each "device").

 

Occurrences is actually your Page Views AND Clicks combined (if your dimension is part of the click data, then this number will actually be the highest value)