Keyword analytics: brands, games, providers

Keyword analytics: brands, games, providers

So, I officially release the alpha brand/game/provider analytics, based on the frequency of key queries from Google for different countries.

In short: the collection of frequencies occurs automatically across different query clusters, across different countries, then «magic» happens and we get statistics and graphs on:

• more than 5000 brands online casinos and bookmakers
• more than 31,000 games
• more than 500 developers (providers)

Based on the obtained data, graphs of dynamics for the year are formed, and a mass comparison of objects with each other takes place, which allows us to look at the overall picture of interest among residents of different countries in the world of gambling.

Brands:

queries are collected for clusters:
Brand — brand queries
iGaming — queries of the type «name + casino» (at this point, I will clarify that for each country, a combination of words in the local language and in a common form is taken, based on which query clusters are formed and data is collected. That is, most often not just one query of the type «casino name + casino» is used uniformly for all countries, but the language and usage of phrases in each country are taken into account)
SportsBook — queries of the type «name + bets, bookmaker, bk, etc.»
Promocode
Bonus
Registration
App / Download
(here the collection of clusters is analogous)

Providers:

Brand — collection of frequencies for the brand query
All games — total frequency for games of one provider
Games — queries of the type «provider+games»
Slots — queries of the type «provider+slots»
Casino — queries of the type «provider+casino»
The rating among providers is based on the overall frequency indicator from the clusters «games+slots+casino» and the sum of the frequencies of this provider's games for the phrases «game+provider».

Games:

Currently, the most «garbage» section, which is actively being refined. Garbage, because many games have titles that are widely used words and phrases. Therefore, brand queries for games are still collected, but on the game page, they are displayed as a separate graph and indicator, without interfering with other calculations (the rating from the brand query does not depend). We display information on Brand, as it will be quite useful for games with unique titles.
- name+slot
- name+provider
This is an example of a combination of queries for which frequency selection for games is currently underway, but taking into account different countries, the combination changes and can have more than one value. In the near future, some more combinations will be added, as well as a formula for calculating the «rating» of games, which will minimize the impact of «garbage» titles on frequency counting.

Countries:

All data on brands, games, and providers is also sorted by countries. On the country page, you can see both the main blocks of the type «top-5» for brands, games, and providers, as well as separate tabs with them. All the information presented on the page of one country is calculated specifically for that country. As a result, you can roughly see the overall picture of the gambling «market,» as well as gauge local residents' interest in certain brands and games.

Decoding of main designations:
AVG — average frequency indicator
SV — frequency at the time of the last update
Rank — position of the object in the overall list, mainly for one country
MS — market share, determined by the ratio of the number of key queries among objects in one country

In addition, parameters are calculated:
NEW — the system finds objects for which frequency has appeared for the first time in 1-2 months in some country, which may indicate the possibility of «birth» of interest among residents in the brand/game/provider
Trend — the system searches for objects for which there has been a sharp increase in frequency of 300% and more over 1-2 months. This way, possible growth in interest in the object can be determined. But this is only in the paid tariff

Data updates occur at least once a month. Currently, twice a month.