How to use seasonal statistics in practice?
Posted: Sun Apr 06, 2025 9:03 am
Graphs from the history of queries help in effective sales planning. They can be very useful even for businesses with obvious seasonality. For example, we know that the sale of skis is a purely seasonal story, but Wordstat shows that people start to be interested in this topic much earlier than the season starts. This information can be used for strategic business planning, for example, for the first launch of an advertising campaign.
There are many products and services for which seasonality of demand is not so obvious. For example, few people thought about the fact that sales of selfie sticks are also subject to certain cycles - Yandex.Wordstat clearly shows which ones.
Understanding that your topic has a pronounced seasonality, you will be prepared for the fact that in certain months search traffic will drop significantly. During this period, it is advisable to prepare the site for the new sales season, and not worry about where the traffic went.
You may also be interested in : female database The site's traffic has dropped or stopped growing. What should I do?
Understanding seasonal fluctuations is important to consider when compiling a semantic core. If there is no frequency for queries, it is possible that now is a period of thematic downtime, and they will appear in the search results later. By checking the query history, you will clarify this situation.
Statistics from the history of queries can also help in content planning. How does this work in practice? For example, we are preparing content for a blog of a travel store. We have a topic about sleeping bags. We enter a high-frequency query into Wordstat and see that, as expected, the topic has a pronounced seasonality. It is better to write an article during a decline. While no one is interested in this topic, the material will have time to be indexed, “settle” in the search and will be ranked normally when a wave of user queries comes.
There are many products and services for which seasonality of demand is not so obvious. For example, few people thought about the fact that sales of selfie sticks are also subject to certain cycles - Yandex.Wordstat clearly shows which ones.
Understanding that your topic has a pronounced seasonality, you will be prepared for the fact that in certain months search traffic will drop significantly. During this period, it is advisable to prepare the site for the new sales season, and not worry about where the traffic went.
You may also be interested in : female database The site's traffic has dropped or stopped growing. What should I do?
Understanding seasonal fluctuations is important to consider when compiling a semantic core. If there is no frequency for queries, it is possible that now is a period of thematic downtime, and they will appear in the search results later. By checking the query history, you will clarify this situation.
Statistics from the history of queries can also help in content planning. How does this work in practice? For example, we are preparing content for a blog of a travel store. We have a topic about sleeping bags. We enter a high-frequency query into Wordstat and see that, as expected, the topic has a pronounced seasonality. It is better to write an article during a decline. While no one is interested in this topic, the material will have time to be indexed, “settle” in the search and will be ranked normally when a wave of user queries comes.