Segmentation examples
- In the for people with condition group, click .
- Choose the condition: https:example.com/tariff/). Use @example.com to segment a report for all pages that include example.com.. Enter the URL for the page (for example,
- In Yandex Direct, add a retargeting list.
- In the for people with condition group, click .
- Choose a condition: www.example.com/promo.html). Use @example.com to segment a report for all pages that include example.com.. Enter the URL for the required page (for example,
- Choose the time period for pageviews: click For reporting period, then Choose period.
- Find the Sessions in which condition group and click .
- Set a condition: More and enter 10,000 as the order total., then select
- Find the report Content - Landing pages in the Sessions in which condition group and click .
- Choose the condition:.
- Only leave the Landing page dimension in the dimensions list. To do this, click Dimensions and remove the others.
- Click Dimensions.
- Select.
- Find the Sessions in which condition group and click .
- Choose the condition:.
- Click .
- Pull out sessions where the “Calculator” goal was completed: , and choose the goal from the list.
- In the for people with condition group, click .
- Choose the condition:. Enter the URL of the directory with the service rates.
- Choose the time period for pageviews: click For reporting period, then Choose period.
- ! at the beginning — negates the condition.
- at the beginning — matches a string (case-insensitive).
Selecting users who viewed specific site pages (for example, the product catalog in one of the categories), in order to use Yandex Direct to offer these users a product or service related to these pages.
View an example of a selected segment for a Yandex Metrica demo tag.
If we take the data from the Sources, Summary report, we can select the information about users who went to the site and viewed a page with a promotional offer from March 1 to March 15.
View an example of a selected segment for a Yandex Metrica demo tag.
In the Sources, Summary report data, we can select users who completed an order for an amount over 10,000 rubles.
A user followed a link from an external source to a page that doesn't have a tag (for instance, contacts.html), then immediately (during the same session) navigated to a page with a tag (in this case, page1.html). This means that two conditions are met: the session starts from page1.html (because Yandex Metrica doesn't have data about the contacts.html pageview due to the absence of the tag on this page), but the page the user navigated from (contacts.html) belongs to the same site that is specified in the tag settings (http://mysite.example/).
To detect the page without the tag:
This gives us information about the pages that the session started from. To determine how the user got to these pages, add a dimension with the referrer (source) that started the session:
Now the report shows the pages that the session started from, and the second level of the report hierarchy shows the pages that clicks came from. For convenience, you can move the Referrer dimension to the top of the list of dimensions. Then the first level will show the pages that presumably might be missing the code snippet, and the second level will show where users navigated to from them.
The small number of sessions in this report indicates that everything is probably fine with the tag, and the internal referrals are caused by session timeouts.
View a similar report for a Yandex Metrica demo tag.
A mobile provider has added a calculator for service rates on its website.
To evaluate the effectiveness of the new tool, we need to compare statistics for users who used the calculator with those who didn't (for example, over the first 14 days after introducing the tool). It will also be helpful to evaluate traffic sources. Segmentation can help us do this. Let's assume that the tag already has a goal created for interactions with the rate calculator (“Calculator”).
In the Sources, Summary report, we'll select sessions for new users who completed the “Calculator” goal:
Then refine the data, leaving information about users who viewed the service rates pages with the calculator between March 1 and March 15. The rates pages are standardized on the site, and they all show the calculator. So the condition can specify the URL of the entire “tariff” directory by using the * symbol.
This gives you statistics on site users who used the rates calculator during a set time period in the past. Save the segment.
Now let's get average data for site users. Delete the Goals reached condition and save the segment with a different name. Now you can compare the two segments.
You can exclude data with a brand mention from the report. To do this, use segmentation and add a condition in the format!your_brand for the Russian and English versions of the brand, where:
For example, for the company “Alice in Wonderland”, a regular expression may look like !алиса в стране чудес for the Russian version of the brand and !alice in wonderland for the English version. Using this method, you can remove up to 20 phrases from the report. To exclude more than 20 phrases, use the regular expression !~(brand|бренд.рф|brand.ru).