Example 4. Monobrand
The key performance indicator of the strategy is visibility for a narrow group of queries, as in exampleThe main objective of the strategy is to increase the reputation and recognition of the brand using SEO optimization methods. Maximum coverage of all search queries related to the brand in various spellings, high-frequency, mid-frequency, low-frequency, is required.
The largest possible volume of brand traffic is attracted to the site, which mentions the manufacturer, services, goods and other concepts related to the brand. To bring a potential buyer from the official website of the manufacturer to a specific single-brand online store, search suggestions are used, the development of a semantic core for different spellings of the brand, review articles are written and posted on external platforms, reviews are posted, and negativity is combated. The problem is often solved by creating additional pages that exactly match different types of queries.
Example 5. Local business
The main KPI of the strategy is visibility for a narrow south africa cell phone number list group of queries (but not high-frequency or branded). Here, the reference to the location is important; topographic names are used in queries – local attractions, metro stations, shopping malls, and the like. This is the optimal strategy for those companies that need to attract people who are nearby. These are consumer services and catering establishments, socio-cultural and entertainment institutions – restaurants, cafes, cinemas, studios, beauty salons, car repair shops, and others. In addition to adjusting the semantic core, good results are achieved by developing online services for interaction with potential clients – the ability to place an order online, make a payment, reserve a product, and so on.
Example 6. Multiregionality
The main KPI is visibility in each region. This strategy is designed to enter regions that fall into the target category. It is necessary to evaluate the dynamics for each region and URL groups, conduct a comparative analysis. For each region, data specific to it is added, the uniqueness of the content is increased, and URL groups are worked out. It is quite possible that in order to promote traffic, it will be necessary to find an individual approach for each region - for the capital, optimization for low-frequency and mLF queries will be suitable, and in regions with little formed demand, special attention will need to be paid to content marketing.