So, by following the above steps, you can create a solid foundation for analytics

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What parameters should you pay attention to
So, let's imagine that the test run of advertising is completed, and now we need to collect and study the results.

This is what you need to pay attention to in the statistics of an advertising system, for example, Yandex Direct, which is combined with Metrica.

Click-Through Rate ( CTR ). Click-Through Rate is the ratio of the number of clicks on an ad to the number of times it is shown. A high CTR (more than 2-3%) is a sign that the ad attracts attention well and hooks the audience.
Expense. This is the amount of money spent on the advertising cambodia mobile phone numbers database campaign for a specific period. It gives an idea of ​​the total costs for impressions, clicks or other actions (depending on the chosen strategy). It is important to control the expense to understand the efficiency of budget use and the percentage of achieving the desired results.
Average cost per click. How much an advertiser pays on average for one click on an ad. A high cost may indicate high competition for keywords, while a low cost may mean that the ad is attracting users.
Conversion. Shows the share of users who performed the target action after clicking on the ad. A high conversion (usually more than 2%) indicates the effectiveness of the ad.
Example of Direct interface with statistics
Example of Direct interface with statistics

You can find such useful information in Yandex Metrica reports.

Visits. The main parameter that shows the number of users who came to the site via advertising. The more visits, the better, but you need to measure the volume of traffic with the costs of the advertising campaign and its conversion. A large number of visits with a small conversion is a waste of money.
Bounce Rates. The percentage of users who left the site in less than 15 seconds without taking any action. A high bounce rate (over 50%) may be a sign that the site is not meeting expectations from advertising.
Time on site. This parameter shows how much time people spend on the site after clicking on the ad. The longer, the better: this means that the content is interesting to users. If the indicator is low, the ad is probably attracting the wrong audience or the site has problems with the content.
Example of statistics from the report "Direct, summary"
Example of statistics from the report "Direct, summary"