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Migrating from Top.Mail.Ru to MyTracker

The Top.Mail.Ru (Rating Mail.Ru) interface is being discontinued. You can transfer your data to MyTracker — an analytics platform from the same VK company. This guide helps you get up to speed with the new interface and understand how MyTracker differs from the interface you're used to.

In a nutshell

  • Create an account in MyTracker at tracker.my.com using the VK ID with the same email address you used for Top.Mail.Ru.
  • After signing in to MyTracker, you'll be prompted to import your analytics data from top.mail.ru into MyTracker.

Getting started

  1. Open tracker.my.com.
  2. Click "Sign in" and authorize via VK ID using the same email address listed as the counter's owner. If you don't have a VK ID yet, when creating one use the email address you used when creating the counter.
  3. After registering and signing in to the MyTracker website, you'll see a prompt to import your data. Click the "Import" button, and your counter's data will appear in MyTracker.

Note: In Top.Mail.Ru, access to statistics was granted by a counter password or tied to a Mail.ru account. In MyTracker you sign in with a single VK ID. No counter password is required.

What changes in the analytics approach

MyTracker isn't just a new interface for the same counter. It's a more flexible platform. It was originally built for mobile apps but works equally well for websites, while giving you significantly more freedom in building reports. There are two things worth knowing up front so you can get the most out of it.

1. Data is stored "as is", and reports are computed on the fly

This is the main conceptual difference.

How Top.Mail.Ru worked. The counter collected events and immediately rolled them up into pre-aggregated metrics for a fixed set of reports (attendance, sources, demography, pages, etc.). You received pre-computed metrics from a ready-made report catalog. The set of dimensions and metrics was fixed.

How MyTracker works. Every event (page view, custom event, purchase, etc.) is stored in its original form, without any pre-aggregation — exactly as it was received from the counter. Aggregation happens at the moment you build a report — depending on the exact slice of data you need.

What this gives you in practice:

  • Report Builder (advanced tool). You combine metrics yourself, apply filters, group data, and compare periods. A report isn't an item from a predefined list — it's an arbitrary combination you assemble for your specific task.
  • Segments. Isolate an audience by dozens of parameters (geo, device, behavior, source, custom events, period) and use the segment as a filter in any report.
  • Funnels up to 10 steps.
  • Calculated metrics. Your own formulas on top of standard metrics.
  • Raw data export. You can retrieve events in their original, un-aggregated form via API — for your own processing, reconciliation, or training models.

The main advantage: reports always run against the full, original data, so you can slice it any way you like. MyTracker caches results for a while to keep things fast, and recalculates them on fresh data when needed.

Don't want to build anything by hand? Ready-made reports are there

The Builder is powerful, but not required. If you prefer the familiar format where reports are already assembled for you, open the Reports section — ready-made panels with your key statistics that open in one click. Just pick a section, a period, and optionally add a filter — the data shows up right away as tables, diagrams, and graphs.

Among the ready-made reports there are, for example:

  • Audience Overview — the profile of your users: activity, gender, age, geolocation, session duration.
  • Traffic Acquisition — which sources bring more users and how your new audience grows.
  • Events — how many users and devices completed target events, broken down by parameters.
  • Devices — browsers, operating systems, device types, and screen resolution.
  • Retention — how well the project retains its audience.

A ready-made report can be refined on the spot: include or exclude dimensions and metrics, switch the visualization, export to XLSX/PDF/PNG/SVG, and — if you ever need more freedom — jump into the Builder straight from the report. In other words, the simple and advanced modes aren't mutually exclusive: start with the ready-made reports and reach for the Builder only when you actually need it.

2. A flexible attribution model

The attribution model answers the question "which source should get credit for a visitor/conversion." MyTracker gives you a choice of models and applies a smart default, so it's worth knowing how it works when you compare numbers.

How Top.Mail.Ru worked. Different reports used different attribution models. The "Sources" report showed the source of the visitor's first transition for the day. In "new" mode — the source of the first transition over the past 91 days. When filtering by goal (as well as in the Goals report), the "Last significant transition" model was used (leveled last-click): the source of the last transition is credited with the visit, but with priorities — ad campaigns and user-defined sources (substrings in URL/referrer, parameters) outrank transitions from search engines and other sites.

How MyTracker works.
For the web, two attribution models are available, and by default reports display first-transition attribution:

Attribution happens only with the start of a new session. That is, during an active session, transitions from new sources will not cause new attribution. For example, if a user accidentally closes the browser tab with the site and opens it directly (the session won't have time to end), the user's events will continue to be attributed to the source of the original transition.

Attribution results can be interpreted using two models: first transition (First Visit) and last transition (Last Visit). Both models are available in the MyTracker report builder. The "Reports" section uses only First Visit model metrics.

  • First visit — all events are credited to the source of the user's first transition throughout their entire lifetime. This is a lifetime attribution model. To analyze data under the first visit model, the MyTracker report builder provides LT (LifeTime) and Flow metrics.
  • Last visit — a windowed model: events are credited to the source of the last transition until the attribution window ends (30 days by default). Metrics of this model are available only in the report builder. To analyze data under the last visit model, CA (Current Attribution) and AT (Attribution Time) metrics are provided.

Metric types for different perspectives. Because data is stored raw, MyTracker lets you evaluate statistics from different angles — Flow, LT/LifeTime, CA/Current Attribution, AT/Attribution Time. Flow and LT metrics let you analyze data under the First Visit model, while CA and AT metrics — under Last Visit.

Comparing numbers. If, after migrating, your source numbers differ from what you saw in Top.Mail.Ru, check the attribution model first. By default MyTracker computes by first transition (LT (LifeTime) and Flow metrics), whereas Top.Mail.Ru showed sources under the "last significant transition" model. To get a picture close to the old one, use CA metrics in your reports.

Report mapping

Most of the reports you're used to exist in MyTracker too — sometimes under different names and with more detail:

Top.Mail.Ru MyTracker
Visit dynamics, attendance The ready-made Audience Overview report
Sources Reports with breakdowns by traffic sources (most likely, you'll want to build a report with CA/AT metrics)
UTM tags SubID selectors (utm_source → Network, utm_medium → Medium, utm_campaign → Campaign, utm_content → Creative, utm_term → Ad Set)
Demography (gender/age) Demographic metrics and segments
Hit params Breakdowns by event parameters
Goals Report with "registration", "authorization", "custom events" metrics
Complex reports, Slices Segments and filters in the Builder
Retention The ready-made Retention report
Search queries Filters and breakdowns by Transition Source

Extra capabilities in MyTracker

Beyond porting your familiar web analytics, you also get:

  • Mobile app analytics — if you have an app, you can connect it in the same project.
  • Automatic web events with no extra code: form submission, click on phone/email/social, site search, product view, add to cart, checkout, and more.
  • Predictive analytics
  • Report templates, data export to XLSX/CSV and via API

If you have any questions, please contact our support team.

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