SEO Efficacy Metrics

What is taken into account when working with semantics:

  • Frequency (including per year)
  • of the Webmaster: impressions / clicks
  • Data inside the search: impressions / number of requests
  • Context data: impressions
  • TOP10 data: availability of sites of our subject (sometimes they may be higher than us)
  • Data of specific sites:

• number of anime/TV series views

• the number of subscribers in the VKontakte group and so on

Let’s explain about the latter. For example, some little-known musical group appears. There is no representative data in wordstat. But in parallel with this in the official VK community of this muse. groups of about 40 thousand subscribers = users are interested, and the designer has a task to draw a new print.

How to store?

It is difficult to store 3+ million phrases in constant processing, and with them “zero” and forbidden phrases. In view of the fact that we do not need classical clustering, and all data lies at the collection level, the storage issue is acute. For this amount of information, Printbar is working on creating its own service.

How to manage SEO Effectively:

  • Collect reports in pbi/gds and see the entry points
  • Enrich with additional data on semantics
  • Use a webmaster, there is more relevance there
  • Site search – gives a lot of information
  • Parse the sites of the nearest topics, ideas for clusters
  • See foreign sites of similar subjects

If you have access to marketplace statistics, use

Sort out the names of the cards and their characteristics

If possible, keep the data at home

Combine phrases, parse deep

The selected software allows you to collect reports that are important for the work of SEO, marketing and design departments. They illustrate the interests of users that are converted into specific tasks. In other words, the designer sees a request for which it is worth drawing a new layout.

In addition, the dynamics of the project are always in sight. Information about the growth or sharp drop in categories makes it possible to respond to circumstances in a timely manner and without traffic losses.

It has become easy for the SEO Department to work with new/old collections in SEO-admin:

  • simple import and export
  • API for feeds
  • managing linking blocks
  • template engines for all meta and texts (for listings and cards)
  • easily build segments for SEOWORK

For a site with more than 500 thousand pages, and even more so in 1+ million, such detailed analytics is extremely important, because a lot of garbage accumulates at the entry points

It would seem that what prevents Printbar from generating a million queries, creating the same number of pages and doubling or even tripling the profit? Alas, it’s not that simple.

Difficulties with semantics

Where to look?

eCommerce of this kind includes anything, including memes, phrases, zodiac signs, holidays, cities and an infinite number more. However, in parallel with “everything” there are also licenses — you can’t just take and print Spider-Man.

In general, the wordstat of the guys from Printbar is very peculiar. It seems to display everything, but it does not always have time. For example, today there will be a release of a track by a popular artist, in the evening it will become a hit, and tomorrow everyone wants to find trending prints. Because of this, the traffic share of the project is 50% listings and 50% product cards. Hence the important conditions:

  • the name of the card affects a lot
  • , the presence of the card in the index is necessary
  • , there is an irrelevance of the card (mainly in Google)
  • Report from Google Data Studio + Yandex Wordstat

Wordstat does not always reflect reality/relevance and does not understand the intent. For example, requests about merch with the singer “shaman clothes” are not taken into account by Wordstat. Thanks to the internal site search report, only relevant project queries are taken into account. Noticing the real demand, the team creates a new print and a new product card that the user can buy.

The found queries are checked in the tools for the mass nature of the desire and, with appropriate indicators, it is launched into operation.

How to collect?

The project has its own feature. In order not to divide a large array of data into groups later, the team immediately forms them. All collections are collected through a scraper, an elementary coupling is created, for example, [by age — 27 years: 27 years of T—shirts] or [Rap — 2Pac: 2Pac T-shirts], etc. – all this is parsed, frequency is checked, and as a result, semantics is ready to be uploaded to SEOWORK and other tools. This method can be used in any subject (metal products, industrial equipment …).

We combine it with product types, commercial and thematic masks

Parsim hints, wordstat, mutagen, overlay, word-keeper

Parsim rel. pages (suddenly there is already, but there is no top)

Through the rel.pages, we parse more in moab, keyso

Parsim info sites of any subject: movies, music, anime, games

Parse the necessary fields of the type: author, director, actor, hero

Metrics

What is taken into account when working with semantics:

Frequency (including per year)

of the Webmaster: impressions / clicks

Data inside the search: impressions / number of requests

Context data: impressions

TOP10 data: availability of sites of our subject (sometimes they may be higher than us)

Data of specific sites:

• number of anime/TV series views

• the number of subscribers in the VKontakte group and so on

Let’s explain about the latter. For example, some little-known musical group appears. There is no representative data in wordstat. But in parallel with this in the official VK community of this muse. groups of about 40 thousand subscribers = users are interested, and the designer has a task to draw a new print.