Which to associate as subtopics

[mahmud220]

It will then be easier for you to define your publishing plan and determine which topics to process separately, within one URL and for which topics to create content hubs. However, anyone who has ever done keyword research for health-related websites will confirm that it is a superhuman task to be familiar with all possible diseases and not take away the symptoms of half of them. The Internet is the best doctor, after all, and so a seemingly banal topic can become a big deal without clear guidelines. Here, cooperation with the client, who knows best what diseases his customers suffer from, will be more than necessary. However, keyword mapping won't help you much with websites with a very specific offer and a B2B clientele.

Here - just like with standard keyword analysis - you won't have anything to grab onto and marketing channels other than SEO will work for the client. HOW TO GET STARTED WITH KEYWORD MAPPING Just like Bosnia and Herzegovina Mobile Database classic keyword analysis, keyword mapping begins with data collection. Therefore, we can only briefly mention this phase of data collection. However, it is clear that input data plays a crucial role here, so I recommend paying special attention to data collection. First of all, we need to define the range of products that we sell or want to sell. It is necessary to focus on brands, product types and phraseology used in a given segment. The best advice for this is from a client who is an expert in their segment.

I definitely recommend competitor research , thanks to which you can enrich the source dataset and at the same time discover niches for your own website. We will then multiply the source dataset, for example, in Marketing Miner. A good, but potentially weedy source of data will also be keywords from PPC campaigns. Last but not least, don't forget about queries from Google Search Console. In any case, pay attention to the relevance of the input queries, otherwise you will spend an unnecessary amount of time cleaning the output from nonsense. TIP: What has worked best for us at the agency is to base keyword mapping on a ready-made basic keyword, or rather on a ready-made clustering, segmentation and defined keyword relevance.