Why low-frequency requests? Promotion of VIN site in USA by low-frequency requests: traffic growth by 681% in 6 months Why use low-frequency requests for promotion - there is little competition for them, such requests are conversion. Yes, you can find a lot of slag among them, especially when it comes to mass offloading of hundreds of thousands of low-frequency units. But (when automating the process) it is worth it. For example, we go to the website of the clothing store. There is no category of "purple dress in a cage", but on the site it can be.But the main only basic categories needed to select. And after all, there are tens of thousands of requests for dresses: styles, colors, models, the name of the selebrity, which was worn similar to the red carpet. The user has a certain image, a query is generated on it and he expects to see a proposal that meets his expectations. The task of the optimizer is to provide the page with the relevant request. How do you create, promote, and sell websites for Amazon? The strategy of successful projects in the Amazon is based on the promotion of low-frequency requests.
Stages of Big Data Seo Regardless of the volume, subject matter of the site, work on the project is divided into six stages (iterations): For each project we select data sources, method and v.4.2.6 Seosight & Free Download principle, the algorithm by which we will process them. At the start we prepare the terms of reference, which describes in detail the stages and intermediate steps of each iteration. We work with semantics (search query pool).
Unloading all the semantics of the niche, starting with our site and competitors' sites (direct and indirect) in each category. Where we get the data from: Google Search Console; Serpstat; Google Ads; Google Analytics and Stock Manager 3.4.17 Nulled Advance with Point of Sale Module others. This data is collected for the current site as well as from competitors' sites. That is, we get all the semantics of the niche. Then the information is automatically cleared of garbage. The next step is to extend the list of requests using the semantics generation script.
For each previously uploaded request, similar phrases, hints are automatically selected. The volume increases again and we clean up again. During the second cleanup, for example, queries in a writing system that is not relevant for the language (for Cyrillic alphabet v2.9.10 - Masterstudy 2.9.9 NULLED Latin and vice versa, hieroglyphs) are filtered. We also determine the length of the query that is not relevant for WP Reset Pro v.5.45 Nulled – WordPress Plugin the language.
