The target audience for a burger brand is youth who are heavy users of smartphone for watching videos, shopping, gaming, and social media. One of their top three activities was search. How can the burger brand use ‘search’ for selling chicken burger as young people did not search for keywords ‘chicken burger’ but they searched the internet for issues they were facing every day in their life such as getting good scores in exam or
finding the right partner or getting a good job. The youth were looking for answers to their collective problems, desires, and dreams which were manifested through queries in search engines.
A search engine is a web resource (site and/or application) that is a directory from other sites.
Using search engines, you can find pages, documents, pictures, audio, or video that contain the keywords specified in the request (or words associated with these keywords). For this task, the algorithms analyze billions of pages per second and produce a ready-made list of results. It is not random - the position of each site is determined by search engine algorithms.
The cherished dream of every site owner is to get into the TOP as often as possible, and even better - to the first position of the list.
The whole process of searching and issuing can be divided into 3 main stages:
Scanning pages and files. First, Google collects information - it looks for new pages and adds them to its database. This is done using a special robot - Googlebot. There are several such robots - some scan the content of a web page, others index images, and still others scan pages and files for mobile delivery. Robots are able to identify original pages, duplicates, canonical pages, and their copies.
Indexing. Robots process the content of each page - text, media files, tags (title, description), attributes for images (title, alt). You can hide the page from indexing using the "no follow" or "no index" tag, or by writing recommendations in the Robots.txt file.
Displaying search results. Algorithms (which are constantly changing and refined) provide the user with the results that are most suitable for his requests based on the information collected earlier. This process is influenced by hundreds of factors, for example, behavioral factors, page load speed, optimization for mobile devices, content uniqueness, site navigation ease, location, site reliability, design.
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