Last visit evenness. Top Google Analytics Metrics
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Visual communication:
Reply rate of green is better than yellow and red
An optimistic view, what is good, what is the benefit:
Indicator shows as a percentage and, visually, with a color bar, the number of messages received by you from other people to which you answered. If the indicator is close to 100%, then this means that you are responding to almost every message received and the indicator is green. If you answer rarely, then the indicator bar will be red or yellow. High rate green color invites site visitors to contact you with a letter.
Go to your page at least once a day to update the date last visit site and show that you are interested in reading the messages on the site, you are open for communication.
A balanced, serious approach:
Respond politely and to the point to messages that interest you, and to those that you don’t like, try to answer as briefly as possible one or two times, try to keep the indicator in green or yellow.
Experiment with the text of your profile, make it clear that you are in a serious relationship.
How to avoid mistakes with a lack of experience and practice:
If you receive a lot of messages that you are not interested in answering, then it makes sense to think about how to change the text of the questionnaire, come up with new answers to questions. Try not to respond with silence to boring appeals, worsening your , and more often change the text of the questionnaire so as to politely prevent others from writing messages that you do not need.
Visit the site more often and correct those answers that many feel like ridiculing, clinging to. Polish your answers little by little.
Communication with foreigners, foreign experience, shopping abroad on the Internet:
Profile Statistics: Reply Rate - Statistics: Percentage of emails that were answered
Reply Rate Percentage of letters in the total mass of received messages that are answered. Usually, it has a percentage from zero if there are no answers, up to 100% if all or many letters are answered. And, color indication from green, symbolizing the tendency not to leave incoming letters unanswered and having to send a message, to red, when it is difficult to wait for a response to a sent letter. Yellow color means that some of the best letters were answered, while the other part of the letters remained unanswered. Reply Reply to an incoming letter, appeal, or message. Reply more often, it may be better to write shorter, but more often in correspondence with those you like. Rate Part, proportion, ratio.Profile Statistics - Statistical information about user activity
Profile Statistics Statistical information, a summary of the results of user activity, which are invited to pay attention. Your Profile Was Last Updated on: Profile, information about you was last updated. Your Profile Status: Approved Status of your profile: approved for publication. Indicates that the profile has been checked by a moderator, editor or site administrator. Number Of Times Your Profile Was Viewed: Your profile has been viewed by: . See Who Viewed Your Profile View a list of profiles of those users who are interested in opening your profile for viewing. These are users who could have messaged you, but something prevented them from doing so. Number Of Times Your Profile Has Been Favorited: Your profile has been added to favorites by users: . These are users who are somehow attracted by your profile and they want to study it in more detail at their leisure. And, at the same time, look at your reaction when you see that they like you, namely, if you add them mutually to your favorite users, then perhaps they will write you a letter or will expect a message from you. Adding to favorites is the equivalent of a wink, consider that you have been noted and are considering the next step, you are someone's favorite. See Who Favorited Your Profile See the list of profiles of those users who have added your profile to their favorite profiles on this dating site, who you are in favor with. Usually, if there is no symmetrical response from you, adding to your favorites, further correspondence, then your profile will most likely be removed from your favorites later, to your delight or to your chagrin.User Insight - How up to date the user is
User Insight Information that allows you to understand how accessible the user is for contact, how often he visits the site, whether he keeps himself aware of the progress of correspondence, whether he understands the language of correspondence while living in his country. Last Logged in on The last time the user visited the site. The date the site was last visited. The more often you or another person visit the site, for example, daily, the more you show interest in dating and pay more attention to dating. Last Logged in from The user accessed the site while being: . Software The dating site tried to determine the country from which you looked at the site, and may have mistakenly indicated a different country. Therefore, in practice, it makes little sense to pay attention to the indicator, the data presented are unreliable. It is more convenient to focus on the place of residence directly indicated in the questionnaire. Contact History Correspondence history.It is convenient to consider the main indicators (metrics) of the site on the example of the Audience Overview report, from which it is recommended to start acquaintance with GoogleAnalytics data.
The metrics presented on this page are found in almost all service reports, so it is extremely important to understand their physical meaning and calculation features.
Sessions metric reflects the number of sessions for the selected reporting period. This term has many synonyms: visit, session, visit.
A session is a sequence of user interactions with a site that closes 30 minutes after the activity is terminated. The interaction is most often a page view, but there are other types (such as events or transactions).
Each session is tied to the user making it through cookies: if the visitor has them disabled, GoogleAnalytics will not capture such a session.
As soon as the user enters the site, the session acquires the "End Time" parameter. Each time a visitor performs an action recorded by GoogleAnalytics, the session expiration date is pushed back by half an hour. If the time of inactivity on the website lasts more than 30 minutes, all further activity will be attributed to a new session. If the pause between activities is less than half an hour, the session does not end. Let's look at an example.
In the first case, the user examines the product card and after 29 minutes goes to the cart. Cart browsing occurs within the current session, since 30 minutes have not yet passed since the last interaction, i.e. they are all performed in one session. In the second case, the user, after viewing the product card, goes to the cart after 31 minutes. This action will be recorded within the new session, because 30 minutes after the card is viewed, the current session will close, and the transition to the basket will initiate a new session.
In some cases, the session is closed according to a different algorithm:
The situation is similar when changing the request to repeatedly go to the same site within the same search engine: the second visit will already be marked as the next visit with a different traffic source.
Metric "Users" can be thought of as a kind of session container. A session that originates from the same browser that has the Google Analytics cookie for this site will be assigned to an already existing user. If there is no cookie, for the system it will be equivalent to the first visit to the website by a new user.
In fact, "Users" are unique cookies registered by the system for a selected period of time.
It is important to understand that this figure is not absolute. Let's assume that in the first week there were six sessions by four users (activity on four different cookies). In the second - six sessions committed by four users, and in the third - the same six sessions committed by three users. The system captures activity on different cookies for each week (reporting period), however, they may include the same users.
If we look at the statistics for the entire period, the system will show that four unique visitors were recorded on the site in three weeks, since only different visitors will be taken into account. cookies for the entire reporting period. Therefore, if you want to see similar statistics, say, for May, June, July, you must not summarize the data for each month, but take summary data for the period from May to July.
Page Views is a visit by a user to a page on a website that has a GoogleAnalytics tracking code installed.
The fact of viewing is registered at the time the tracking code is loaded. For example, the user opened page1, the code loaded, and the view data was sent to the GoogleAnalytics server. If a visitor, without closing page1, navigates to a tab with another site, and then returns to page1, the tracking code will not be reloaded and no new view will be registered. If the user refreshes page1, the system will record 2 views.
Pages/Session(otherwise called browsing depth) is the ratio of the number of page views to the number of sessions:
Browsing depth is a measure of user engagement. It is important to understand that its rate depends on the type of site, for example, for an online store, a large browsing depth can be a positive sign, and for a service site with a small number of pages, it can be difficult to navigate.
Average session duration- this is an indicator that, like the previous one, is calculated, that is, it is determined on the basis of other data:
To understand how it is calculated, it is important to know the principle of measuring the duration of a single session.
Let's say a user came to the site at 10:00 - a new session was opened. At 10:05 he moved to the next page, the duration of the session reached 5 minutes. At 10:15 he moved to another section, which was the last one in the session. We do not know how much time the user spent on last page because GoogleAnalytics was no longer receiving interaction data. Therefore, the session will last from 10:00 to 10:15 and will be 15 minutes long.
Session duration is calculated without taking into account user activity since the last interaction and reflects only known browsing time. At the same time, the fact that 5 minutes have passed between visiting the first and second pages does not mean at all that the user has been studying the content presented on the page all this time: it could well be on another browser tab. However, the average session duration is an indicator of user loyalty. So, if the time of interaction with the site has increased compared to the previous period, it means that users have begun to spend more time on the resource (they like new content, functionality, etc.).
Bounce rate is the percentage of sessions during which only one page was viewed.
There is no other interpretation for this concept in Google Analytics. The number of abandoned visits can also include such visits when the user carefully studied the contents of the page he visited, but instead of going further to look for something on the site, he made a call. Good visit? Good. But denied. When considering the methodology for estimating the duration of a session, we noted that the last view has zero duration, since the session is considered ended at the moment of the final interaction (transition to a page, section, etc.). It turns out that if the user went to the site, studied the content of the page in detail and left the resource, he spent zero seconds on it. It really is. And, if no additional settings are provided, such a session will be counted as a refusal - the user's refusal to interact with this site.
An important difference between the calculation of the bounce rate in Google Analytics and Yandex Metrica is that the last bounce is considered a visit during which the user was on one page and spent less than 15 seconds viewing it. Due to this interpretation, the number of bounced visits in Yandex.Metrica is less than in Analytics. This does not mean that one of the systems is more accurate, they just have different methods of counting.
“Average session duration” is calculated as the sum of the duration of all failed sessions (0 seconds each) and the duration of all failed sessions, divided by the total number of sessions, i.e. the average is “blurred” by failed ones.
Segmentation allows you to understand how long non-failure sessions last on average. To configure it, click on the plate of the "All sessions" segment, go to the "Built-in" section (standard GoogleAnalytics segments). Select the "Sessions without failures" segment, click "Apply".
Percentage of new sessions shows the percentage of new user sessions (the fact that a new cookie was created and sent to the browser) and is calculated as the ratio of the number of new visits to the total number of visits for a certain period of time. It is important to understand that if a user visits a site for the first time with home computer, its session is bound to the browser. However, if after that he makes a second visit from a smartphone, this visit will be new for GoogleAnalytics and will be linked to mobile browser. The service will register two new users.
The percentage of new sessions, although it has an error in accounting for unique users, on a site scale reflects the dynamics of traffic growth and the effectiveness of attracting new potential customers.
Good day.
It turns out that far from all users know that by default, any browser remembers the history of the pages you visit. And even if several weeks, or maybe months have passed, by opening the browser visit log, you can find the coveted page (unless, of course, you have not cleared your browsing history ...).
In general, this option is quite useful: you can find a previously visited site (if you forgot to add it to your favorites), or see what other users sitting at this PC are interested in. In this short article, I want to show how you can view the history in popular browsers, as well as how to clear it quickly and easily. So…
How to view the history of visiting sites in the browser ...
In most browsers, to open the history of visiting sites, just press a combination of buttons: Ctrl + Shift + H or Ctrl + H .
In Chrome on the right upper corner the window has a “combo button”, when clicked, a context menu opens: in it you need to select the “History“. By the way, the so-called keyboard shortcuts: Ctrl+H (see Fig. 1).
Rice. 1 Google Chrome
The history itself is a regular list of web page addresses, which are sorted depending on the date of visit. It is quite easy to find the sites that you visited, for example, yesterday (see Fig. 2).
Rice. 2 History in Chrome
Firefox
The second most popular (after Chrome) browser at the beginning of 2015. To access the journal, you can click quick buttons(Ctrl + Shift + H), or you can open the menu " Magazine"And from context menu select " Show entire log«.
By the way, if you don't have top menu(file, edit, view, log…) - just press the left "ALT" button on the keyboard (see fig. 3).
Rice. 3 opening a magazine in Firefox
By the way, in my opinion, Firefox has the most convenient visiting library: you can select links even yesterday, even for the last 7 days, even for the last month. Very handy when searching!
Rice. 4 Visit Library in Firefox
Opera
IN Opera browser viewing the history is very simple: click on the icon of the same name in the upper left corner and select the "History" item from the context menu (by the way, the Ctrl + H keyboard shortcuts are also supported).
Rice. 5 Viewing history in Opera
Yandex browser
The Yandex browser is very similar to Chrome, so everything is almost the same here: click on the “list” icon in the upper right corner of the screen and select the item “ History/History Manager” (or just press the Ctrl + H buttons, see Fig. 6).
Rice. 6 viewing the history of visiting in the Yandex browser
Internet Explorer
Well latest browser, which could not simply be included in the review. To view the history in it, just click on the "star" icon on the toolbar: then a side menu should appear in which you simply select the "Journal" section.
By the way, in my opinion, it is not entirely logical to hide the history of visiting under the “asterisk”, which most users associate with the favorites ...
Rice. 7 Internet Explorer…
How to clear history in all browsers at once
You can, of course, manually delete everything from the history if you don't want someone to be able to view your history. Or you can just use special utilities, which in a matter of seconds (sometimes minutes) will clear the entire history in all browsers!
One of the most popular programs for Windows cleaning from "garbage". It also allows you to clean the registry from erroneous entries, remove programs that in the usual way are not removed, etc.
Using the utility is very simple: run the utility, press the analysis button, then check the boxes where necessary and press the clear button (by the way, browser history is internet history).
Rice. 8 CCleaner - history cleaning.
IN this review could not help mentioning another utility, which sometimes shows more top scores Disk Cleaner - Wise Disk Cleaner.
Alternative to CCleaner. Allows not only to clean the disk from various kinds of junk files, but also to defragment (it will be useful for the speed of work hard drive if you haven't done it in a very long time).
Using the utility is just as easy (besides, it supports the Russian language) - first you need to press the analysis button, then agree with the cleaning items that the program has assigned, and then click the cleanup button.
That's all for me, good luck everyone!
Attributions help to determine the main source of transition to the site by targeted actions of the audience - purchase, application, subscription, etc.
In this article, you will learn what attribution models Yandex.Metrica offers and how to evaluate advertising channels using it.
What's new in Yandex.Metrica
Users visit the site, as a rule, more than once: by a contextual ad, by search results, by an address in the browser line, through social networks, etc. Before taking a targeted action, they study the offer, product features, customer reviews.
Your task is to identify which path the visitor takes and which visits are valuable.
In December 2014, Yandex introduced the last significant click model. It analyzes the behavior of the audience in real time and helps to calculate the conversion more accurately.
Attributions are available not only in source reports for the "Traffic source (detailed)" and "Traffic source" groupings. You can apply them to advanced reports for Yandex.Direct and to traffic with From, UTM, and Openstat tags:
This is an opportunity to easily identify the site, ad and advertising campaign that brought visitors for the first time.
Model overview
Last transition
For each visit, Metrica determines the source:
In the example, users visited the site 3 times from different channels:
It is useful to apply this algorithm to detect pages without a counter code.
Minus - it does not take into account the history of visits, and therefore does not show the entire conversion path. At the same time, the number of touches with the brand has a positive effect on the readiness to purchase or order.
In the remaining two models, the Yandex team took this into account.
First transition
A typical situation: a visitor takes a long time to make a purchase decision (delayed conversion) and during this time returns several times from other traffic sources.
The algorithm of the first interaction uses the history of visits. The main transition is the first visit. All subsequent summed up to it:
For example, a user wanted to buy a product after opening an ad, but after that he also searched for information about it on Google and the company's social media account:
Last significant transition
We add clicks from secondary sources to the significant previous one. This helps to evaluate its effectiveness in detail.
Example: the sources of the first two visits - advertising and search - are significant:
The third visit on a direct call is insignificant. Therefore, all visits are attributed to the second - the last significant one in this chain:
The model also works for sites with fast conversion (performing a targeted action in one visit).
How to apply attribution models in Yandex.Metrica
Open the standard report "Sources, summary" (by Direct and tags similar in structure).
The list of standard service reports can be found in the "Reports" menu:
How to customize the report for your tasks?
Adjust the time settings
Period
Set the calendar period. The default is month:
Or set the date interval:
Detail by time
By default, charts show data for the interval, taking into account the selected period. If necessary, specify the time period:
Define the content of the report
Segmentation
Let's say you need a list of visits to the Perm region. Filter users by location:
We create segments according to the desired features. Button "Segment" - and select the conditions from the list:
The limit on the number of segments for one counter is 500.
Note: Yandex.Metrica respects user privacy and discloses some data with restrictions if the sample of visitors does not exceed 10. For example, 6 people visited the site. This is less than 10, so information on the proportion of men or women is not available.
Select the goal for which you will calculate the conversion from the list:
Attribution Models
Customize the conversion report - first, last or last significant. In accordance with the attributions that we described earlier.
For the first and last significant source, Yandex uses the browsing history.
Select options in one of the following ways:
In "Group" select from the list desired groups indicators:
When a group is selected, an icon appears next to it, as near the "Sources" block in the screenshot. This means that you have marked at least one grouping from this block for the report.
To select individual metrics, click Metrics. Here is their list:
The maximum groupings and metrics in the report is 10.
Specify a filter that is the basis for other statistics. For example:
The table will show information (here on failures) only with a value above 50%.
Ensure Data Accuracy and Reliability
Accuracy
If a report needs a lot of information, it will take a lot of time. To speed up their collection, the service uses part of the data (for example, 10%). Click Accuracy to change this value and choose a balance between Faster and More Accurate:
When you open another report, the setting is saved.
Reliability
The metric provides many indicators, but they are not always reliable in terms of site performance. If one user visited the site and read the content for 10 minutes, this does not mean that the average visit time is 10 minutes.
This conclusion is correct by calculation, but not by common sense.
Click the checkbox to hide rows with invalid information:
Make your report visual
Types of charts
To get a visual dynamics of indicators, select a chart type:
- Circular - distribution of values by groups:
- Lines (default) - absolute values in time:
- Areas - dynamics of values. The graph at each moment shows the sum of visits for the specified values:
- Columns - change in the ratios of quantities over time:
- Map - summary data (total and average) on the world map and on the maps of Russia, Ukraine, Belarus and Turkey.
Display in table
There are two options - all in a row or grouping by features. What does it look like?
Sorting
The default sorting is by visits. To change the indicator, click on the column name.
By default, the chart shows the values for the visits by which you sorted the data:
This is also indicated by the active chart icon. In the screenshot, it is in a red frame.
You can change the index. Similarly - click on the column name.
To rename and delete, click the same arrow and select the desired action. A deleted report cannot be recovered.
To export to PDF, XLSX or CSV, click the button:
The uploaded file includes the first 100,000 rows of the table.
Note. All operations are available only to the owners of the counter, or if there is representative access or editing access!
Saved reports can be found here:
Now you know how to build a report on traffic sources and find out which user clicks are more valuable. However, is it possible to draw sufficiently complete conclusions on Metrica? Or is it inferior to Google Analytics in reliability and accuracy?
Yandex.Metrica vs Google Analytics
Let's look at an example.
The screenshot shows the number of achievements for the "Open Cart" goal in Yandex.Metrica:
According to the attribution of the last click, internal transitions are in the lead. For other models, this number is much lower.
First interaction:
Last significant interaction:
It can be seen that before the target action, users interacted with the brand through other sources - social networks, search advertising or retargeting. This means that social media advertising, SEO optimization and retargeting campaign were not in vain.
The Google Analytics Multi-Channel Funnel Paths tool offers a visual way to track traffic chains.
Let's choose the same dates:
And it's true: the achievement of the goal occurred mainly through internal transitions. Here the weight of this channel can reach 20 - 40%, because:
- It doesn't bring direct conversions from the last interaction;
- He is actively involved in the chains;
- Similar chains are repeated several times.
Google Analytics has more options for analyzing traffic sources.
1) A clear user path, as you have already seen.
2) More Attribution Models:
- First transition;
- Last transition;
- Last indirect click (direct visits are ignored, 100% of the conversion value is assigned to the last channel in the interaction chain);
- Last click in AdWords (100% of the value is assigned to the last click on the ad in AdWords);
- Linear (all channels are equally significant);
- Positional (valuable only the first and last to the same extent);
- Age of interaction (for short-term or one-time promotions).
Yandex.Metrica offers only the first two attributions, which means that it does not take into account all the nuances of the paths, for example, quick and delayed conversions along with regular ones.
3) The Time to Conversion report shows how long an individual visitor is considering a purchase decision. There is no similar analytics in Yandex.Metrica - the "Time on site" column is common for all visits for a specific source.
4) Ability to compare incoming traffic by criteria: mobile vs desktop, new users vs returning customers.
5) GA gives four useful reports. In Yandex, there is only one - "Sources".
Read more about attribution in Google Analytics in the article:
Both platforms show the number of achievements and allow you to audit the advertising budget and identify which sources are worth investing and which are not.
Conclusion
User paths are unique. It is difficult to predict which advertising channel will bring more conversions. With the right distribution of weight between traffic sources, you invest in promising options and increase ROI.
Today there is no and only correct algorithm for this. Yandex.Metrica has room to grow and develop. And although it is still inferior to Google Analytics in terms of analysis tools and reports, the team is regularly working on improvements.
What do you know about visitors?
In the last article, I told you about what Yandex Metrica is. In addition, we talked about its basic tools and capabilities. It's time to dig deeper and look at the next tool. So, Yandex Metrica: Reports.
So, "Yandex Metrica" - "Reports"
“Reports” is the next item after the “Summary”, which you get to by default. The menu - I'll clarify just in case - is located on the left side of the screen.
After clicking on the "Reports" item, a drop-down menu opens. First, let's look at its left (middle - in the picture below) part.
As you can see, there are 5 main parts:
Search by reports - allows you to find the report you are interested in.
“Standard reports” are the main reports preconfigured in the system. We will talk about them in this article.
"My Reports" - reports that you will create yourself will be displayed here.
"Favorites" - reports that you bookmark can be found in this item.
"Frequently used" - Metrics tools (not necessarily reports!) that you use most often.
This article is intended for beginners, so we will only analyze standard reports. So, in order.
- "Direct summary" - general information on various campaigns in Yandex.Direct;
- "Direct - sites" - statistics of clicks from various sites where ads are shown through Direct. Separately for search and separately for YAN;
- "Direct - expenses" - statistics on the number of visits made on various advertising campaigns and requests.
- "From marks";
- "UTM tags";
- "Openstat tags".
- "Geography" - where people come from. You can segment up to the city;
- "Long-term interests" - shows the gender, age and interests of the audience of your site (for example, like this: "male → 25-34 years old → Tourism"). Yandex collects statistics about users using search terms, entered by users, as well as statistics collected by Yandex.Browser;
- "Age" - statistics by age categories (there are 5 such categories in total) without division into gender;
- "Gender" - it's the opposite here, it shows statistics for men and women, but without separation by age. If you need to understand gender and age statistics, you will have to tinker a bit and set up additional segments;
- View Depth - segments users by the number of pages they have viewed;
- “Time on site” is the same, but by the time they spent on the site;
- "Attendance by time of day" - similar to the previous two, but by the time when people visited the site (from 0:00 to 01:00, from 01:00 to 02:00, etc.);
- "Total number of visits" - how many times users visited the site and how they behaved depending on this;
- "Frequency of visits" - how often users visit the site;
- "Time since the first visit" - how much time passes from the first to the second visit;
- "Time since the last visit" - how much time passes from the penultimate to the last (on this moment) visit.
-
The next three reports require additional settings, so I'll just list them:
- "Parameters of visits";
- "Visitors parameters";
- "Settings for Online Stores".
"Technologies"- allows you to see what devices, browsers and other technologies your site visitors use. Allows you to understand for whom you need to optimize the site in the first place, as well as to detect “bottlenecks” leading to a large number failures.
- "Browsers" - which browsers (Google Chrome, Yandex.Browser, Firefox, Safari, etc.) are used by visitors;
- "Display resolution" - what resolutions are used (sorted by width and height);
- "Operating Systems" - Windows, iOS, Mac OS, Linux and others;
- “Devices” means PCs, smartphones and tablets. The last 2 categories are divided into brands and models of devices;
- "Flash Versions" - Flash Player which version is used by visitors;
- "Silverlight Versions" - what version of Microsoft Silverlight is used by visitors;
- "Presence of ad blockers" - statistics for users who use (or do not use) an ad blocker;
- "Java Availability" - statistics for users using (or not using) Java;
- "Presence of Cookies" - statistics for users who have cookies enabled (or disabled / not supported);
- "JavaScript presence" - statistics for users who have JavaScript enabled (or disabled / not supported).
"Monitoring"- reports on the quality of the site.
- "Load on the site" - how many visitors were online and how many requests per second they made (again - the maximum);
- "Traffic by minutes" - how many views were made by site users;
- "Page loading time" - how quickly different pages of the site are loaded (with the possibility of segmentation by different countries);
- "Scan results" - the availability of the site for the selected time interval;
- "Robots" - statistics of site visits by search engine robots.
"Target Call"- analysis of calls received on the site. In order to obtain information using these reports, you need additional setting, so we will not consider it in detail.
"E-commerce"- the same applies to this item. It is not for beginners, so it makes little sense to consider it in a review article.
"Attendance"- allows you to see how many visits were made during the specified period, how many people visited your site, how many pages they looked at, what was the proportion of new visitors, how much time they spent on the site ... In general, a lot of information for analysis.
Pay attention to the fact that you have many opportunities for in-depth analysis of the behavior of visitors to your site. You can set up additional segments using the top menu (“Visits where<выбрать условие>for people who have<выбрать условие>»).
You can also compare different segments, change the period for which information is analyzed... In general, do whatever you want. Here, for example, visitors to our blog over the past month, who came to us through search engine Yandex and spent more than 10 minutes on the site:
What conclusions can be drawn from this? For example, that on weekends people come to us using Yandex search much less often than on weekdays.
And now let's compare this report with the same one, but for Google:
As you can see, the attendance is almost the same, but if in the first half of December the attendance from Google was higher on weekends, then in the second half of the month the opposite is true - Yandex is breaking ahead. Now you can see and compare statistics on those who spent less than 10 minutes on the site, see exactly what queries people came to our blog for…
In general, information, in fact, the sea. The main thing is to have time and desire to analyze it. But this is not the topic of today's article. Our task is to analyze the opportunities that Yandex Metrica and its Reports present to us. So let's continue.
"Conversions"- achievement of goals by site visitors. Unfortunately, the blog will not help us here, since the goals are not configured in it ... Let's turn to one of our projects for help:
In its basic form, everything is very simple - two graphs for each goal, one with the number of goals achieved, the second with the percentage of people who reached the goal out of the total number of site visitors.
As always, the most interesting thing is the ability to add conditions to evaluate which of the visitors converted. In terms of mechanics, everything is exactly the same as in Attendance. However, in Reports, in general, everything is very similar in terms of the principles of work, so I will not repeat this regularly.
"Sources"- the way a visitor gets to your site.
If you have labels configured, then 3 more reports are available to you:
But I think you can figure them out on your own.
"Visitors"- information about the people who visit your site. Helps to identify target audience your site and figure out if necessary - whether you are attracting the right people to it.
Today we have analyzed the next section of Yandex Metrics - "Reports". I hope now it will be a little easier for you to use it. If you have any questions - ask them in the comments, and I will definitely answer them.
Next time we will consider the next section - "Maps".