To attract a relevant audience to your site or app based on the system's knowledge of your customers, use Look-alike.

If you have Top.Mail.Ru counter data or your own list of users, you can select more users who are similar to them in many ways.

To target your campaign to these users, use Look-alike when creating your campaign. To do this:
What data use for Look-alike
You can create a Look-alike audience based on:

In order for the system to select the best-quality Look-alike audience, you need to set the correct parameters for creation, use a large number of source users and fresh lists.

Parameters for creating Look-alike

1. Relevant goal
You can use lists of buyers (i.e., a list of users who have reached the "Purchase" goal), or those who have left a request on the site, ordered a call, etc. (i.e., they have reached the "request/call" goal on the site, etc.).

If you have many different product categories, we recommend building a Look-alike based on the goals of visiting the product category and purchasing at the same time. For example, both "Visited the "Dress" section" and "Made a purchase".
Learn more about how to set up goals

2. The correct period
Select the period that corresponds to the period when the decision to purchase your product or service. For example, for clothing/cheap electronics — 7-14 days, for furniture and home appliances — 14-30 days, for cars/real estate — 30-60 days.

Number of source users

The minimum number of matched users in the source required to create a Look-alike is 1000 people.

For applications, it is possible to build a Look-alike not only based on events, but also based on installs. This is convenient if there are not enough events yet.

The result of creating a Look-alike based on lists and counters with a small number of users (less than 3000) depends on the quality of the history of these users for the specified period. If there is not enough data to build, then Look-alike will have the status "Failed".

Relevance of the data

The list that the Look-alike is based on must be uploaded to myTarget or updated no more than 90 days ago. However, we recommend building a Look-alike immediately when filling the list. The algorithm will take into account the most relevant behavior, and you can launch the campaign later.
Creating a Look-alike based on users who visited the site in the last two weeks
Look-alike is updated every 4 days. The latest counter data will be taken into account automatically. If a similar audience is based on a list of users, just update the list. Look-alike will be rebuilt to reflect changes in the original audience.
Important! If there is not enough data to create Look-alike, the counter may only be on your resource for a few days and the data has not yet been collected.

If the data was received for the entire specified period, increase the period and / or build on an intermediate goal, such as "Put it in the cart" or "Spent enough time on the site".

The period always starts from the current moment (from = 0) and must end no more than 60 days ago.
Creating a Look-Alike based on users who have reached an intermediate goal
How to create Look-alike source
You can create Look-alike in two ways.

Method 1.
Open the "Audiences" tab and go to the "Look-alike" menu. Click "Create Look-alike". Select the source.
Creating a Look-alike Audience
Method 2.
Use quick links.
  • To create a Look-alike based on the counter Top.Mail.Ru open tab "Audience" → "Counters Top.Mail.Ru" and in column "Look-alike" click "Create".
Fast creating Look-alike
  • To create a Look-alike based on the downloaded list of users, go to the "Audiences" tab → "User Lists" and in the "Reach" column click "Increase".
Fast creating Look-alike
  • To create a Look-alike based on "In-app events", open the "Audiences" tab → "In-app events". Select the appropriate app, then click the arrow to expand the list of configured trackers. Click the arrow next to the desired tracker. This opens a list of events that you can use to create a new audience. In the "Look-alike" column, click "Create".
Fast creating Look-alike
You can only create a Look-alike based on your own data source. Sources shared with you cannot be used.
Calculating the extended audience usually takes several hours. The audience status will change after you create it.
How to create a segment based on Look-alike
To use Look-alike in an ad campaign, you must create a segment based on it.

You can do this manually after creating a Look-alike or when creating it:
By default, a segment is created based on each Look-Alike
When creating a Look-alike, 5 millions users are added to the myTarget system. There may be many times more users found by the algorithm, but we only include the most relevant ones.

By default, the segment will include 1.5 million users. We recommend using this cutoff for testing. After a successful test period, increase to 5 millions users. If you have small budgets and need small coverage, you can reduce the cutoff to 900K.

The similar audience that the system selects is updated every four days, provided that the segment created based on Look-alike is used in active advertising campaigns. Users from the original selection will not be included in the Look-alike list, which will only allow you to reach a new audience.
Important! The "Not supported" status in the segment only means that the interface can't display coverage for this type of source yet. The segment is correct and can work. Focus on the coverage cutoff that you set.
How to create an ad campaign based on Look-alike
To target a campaign to users that the system has selected, in the "Segments" section, select a segment that is based on Look-alike.
You can create an ad campaign when Look-alike has not yet been created.

Select all the necessary settings and click "Create campaign". The campaign will be sent for moderation. In parallel, the system will collect data to build a Look-alike — so you will save time.

When ads pass moderation and Look-alike is built, the campaign will start automatically.
How many audiences can be created
You can only create one extended audience for a single list of users.

For a counter with the same selected goals and their periods, only one Look-alike can be built.
Important! The effectiveness of Look-alike depends on the original audience. Test different sources and periods of gathering the original audience — this will help you find the optimal settings.
Providing access to Look-alike
To share your Look-alike audiences, add them to a segment, and then share the segment. Read more
Assess user compliance with a given audience
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