Improved position and demand analytics

A comprehensive collection of phone data for research analysis.
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rifat28dddd
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Joined: Fri Dec 27, 2024 12:12 pm

Improved position and demand analytics

Post by rifat28dddd »

Checking website positions: why, what for and how

Checking website positions: why, what for and how



How Tags Work in Rush Analytics
Tags allow you to group keywords by any feature, whether it be belonging to a certain category of goods/services, promotion region, page type (informational, transactional, etc.) or any other parameter at your discretion.

Once tags are assigned, they become available for use in all Position Check reports and charts. You can filter and segment data by the tags you need to focus your analysis on a specific subset of keywords.

Visualization of tags in graphs and tables
The tagging system is integrated into all visual elements of the Position Checker. You can color the graphs and charts according to the distribution of tags to better understand the structure of the site's traffic and ranking.

Let's give an example of segmentation for an online electronics store:

Tags by category: smartphones, laptops, TVs, accessories
Tagsbybrands: Apple, Samsung, Sony, Xiaomi
Tags by region: Moscow, Saint Petersburg, Kazan
By filtering reports by these tags, a marketer can assess czech republic telegram data which product categories generate the most traffic in each region of presence, which brands rank better, and how demand changes depending on the season. Armed with these insights, he can redistribute budgets and adjust purchasing strategy in accordance with the actual demand of the target audience.

The Position Check update also affected the ranking and demand analysis tools. Now you have even more opportunities to study the results of promotion and user behavior in detail.

Filters and smart scaling on charts
Visibility and demand graphs can now be filtered not only by date range, but also by tags. This allows you to focus on the dynamics of the desired group of queries and track how changes on the site or competitors' actions affect ranking for each specific category.
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