Seasonality is the change in the demand for certain requests depending on the season. For example, the frequency of requests for warm things or heaters increases by the autumn-winter, and air conditioners are popular in late spring-summer. When starting to work on a project, it is important to remember that it is necessary to promote each category of goods in advance, long before the jump in demand, so that by the time of peak demand it will be optimized to the maximum. To do this, you should know when the number of visits may be potentially the highest.

Methods of optimization after the seasonality analysis: increasing the reference mass to a category; optimization of content (texts, images); How to optimize content: title, h1, description, keywords. metadata refinement; adding page re-links and more; The frequency of analysis may vary depending on the project. Information Gathering How to determine whether there is seasonality of demand for the project - the site, online store, marketplace, v1.0.6.4 v23.9 - WooCommerce Shipping Tracking Nulled 23.8 Industro – Industry & Factory WordPress Theme Nulled and so on: On traffic - whether there are takeoffs all over the site / certain pages, analyzing data through Yandex.Metrics or Google Analytics: Advantages: You can track exactly what month there was a peak and drop, and for what requests; the downsides: hikes happen due to some info feeds or other reasons unrelated to seasonality.

By audience or client surveys; the upside: people orientation; shortcomings: it is not known whether the information will remain relevant after some time. Thanks to thematic blogs/competitions, you can subscribe to mailing lists or social networks to follow publications in your industry. Advantages: we also focus on people; the downsides: not everyone likes to participate in the mailing lists and answer questions. How do I choose my keywords?

How to create a semantic core without specialist help - a guide for online store owners When working with the site always need to collect the most complete semantic core for all categories. You should take as many transactional and relevant phrases as possible. For online stores, it is better to choose commercial requests, for example, "buy a bouquet of roses", rather than just "a bouquet of roses" (if such semantics is present).

Example of how we fill in the table If you do not have a semantic kernel, you can use it to find the right search queries: Yandex. Wardstatt; Serpstat; Google Adwords and other services. find search queries Where and how do I find frequencies by month? We analyze seasonality and make a forecast for next year based on last year's frequencies. For example, Amasty Gift Card 1.2.14 Nulled for Magento 1 if we make a calendar in April 2020, we take data from April 2019 to March 2020. There are such services to determine the frequency by months: Google Trends - a tool for determining the dynamics of seasonality in Google.

Keyword Planner Ads vPremium - Webkul Market place Twilio SMS Notification v.2.0.1 Nulled – M2 a tool from Google to determine the seasonality of keywords. Unlike Google Trends, it can handle a large number of keywords. Wordstat query history - a tool from Yandex to determine the seasonality of demand. How to check seasonality of demand v1.2.14 - YITH WooCommerce Uploads Nulled Read more about how to use each of these tools in the article about seasonality of demand. How to perform analysis? To work with seasonality analysis, I recommend using Google Tables - you can show and share them with other users, view them from different devices.

An example of such table: Let's see an example of the real such table The table should be the most important for the analysis: categories; keywords; frequencies by months; category prioritization; quantity of goods; frequency chart; average frequency value, etc. specific search query Creating a table will simplify some of the work that you have to do manually. Also here you can add separate tabs for different search engines (Yandex, Bing).

11 Google table functions to help SEO specialists If there are several projects and many need to do such an analysis (or you will soon need to do it again), it is better to create the table as a template with formulas for automatic data calculation.