Tracking competitors is one of the basic tasks in the formation of an advertising campaign and subsequent work with context. The study of the features of the niche, methods, and techniques of competitors allows you to set up a campaign as effectively as possible.
Competitor analysis is important because it allows you to:
A self-analysis of contextual advertising should include the following:
After collecting this information, you need to compare the effectiveness of your own campaign against your competitors. It is worth creating a summary table with all the features of contextual advertising competitors, which can be adapted and used to improve performance
Keywords make up the base of paid search traffic because they initiate the display of ads. Because of their importance, the collection of keywords should be given increased attention.
Creating a full semantic kernel is a rather lengthy and time-consuming process. It should be approached with great care, forming its own semantics, rather than copying key phrases found by competitors. The words you find should be analyzed to identify basic word combinations, i.e. key phrases used to gather search results in Yandex. Wordstat.
The first point in compiling semantics is brainstorming, which consists of finding names, synonyms, meanings, professional terms, and jargonizes. For the convenience and clarity of work, you can systematize the keys found in programs like Xmind, which allow you to make mind maps.
After that, the intersection of meanings should be formed according to a certain logic, which is put into the semantic map and displayed in it. A number of services similar to PPC-help can be used for multiplication.
The result is a set of basic word combinations, which can be used to collect search results. This can be done both manually, in Yandex. Wordstat, and automatically, using Key Collector and similar services.
Next, the study of search results, which consists of minus unnecessary phrases and adding queries to the semantics of advertising. This is quite a laborious job, allowing you to sift out all unnecessary queries.
Compiling a semantic kernel, you should not add to it all the detected queries of competitors, as you can not guarantee the thoroughness of their search for basic queries. It is likely that competitors have taken an excess of non-targeted phrases or have missed targeted ones. For this reason, when collecting competitors’ keyword phrases, it is optimal to analyze the base phrases. If it turns out that the identified combinations are missing in their own advertising campaign and are targeted, then they should be added by working on their own search results.
When analyzing your competitors’ semantics, you should follow a certain sequence to identify conversion keywords that may have been missed during the brainstorming phase.
To assess your competitors’ keywords, it’s worth getting to know your competitors first. Some of them may already be known, and you can use your browser’s search bar to discover new ones. You should analyze the paid output marked “Ads” and the organic output located between the ad units.
After that, you need to analyze the organic output for mobile devices, for which you can use the ad diagnostic tool in Google Ads. The next point – the detection of remarketing, that is, the presence of Pixel Facebook, which allows advertising on social networks. The Facebook Pixel Helper extension for Google Chrome is used to detect it on the site. Google’s codes are verified through the Tag Assistant.
To create a more complete list of competitors you can use various services that search by site domain or by the key query. These include SpyWords, SerpStat, and keyword planner in Google Ads. The latter uses the Auction Statistics tool. The scheduler shows and allows you to load keyword choices for URLs while doing a breakdown by platform and geography. The statistics will be displayed by the average number of monthly queries.
information about the level of competition of the request and the maximum and minimum rate for display at the top of the page is also useful. However, keep in mind that the scheduler shows average figures, which are not always reliable. Auction statistics allow you to accurately identify competitors in your ads, and new resources can be found in the list offered. This list should be saved for further competitor analysis.
The domain of each competing site can then be entered into a service like SpyWords in turn, obtaining search terms, dynamics, and statistics for contextual campaigns. This data is available for download.
The above analysis includes indicative information about the daily campaign budgets, which are based on cost per click projections, making them inaccurate. However, this information may well be used to make comparisons between competitors’ budgets.
The next step is to check the search queries for each competitor and identify the underlying phrases. This can be done in Excel or Key Collector. In the case of the latter, you can quickly identify keyword phrases: competitors’ search terms are placed into separate groups, and a Group Analysis tool is used to group those groups together, allowing you to group them by individual words.
All of the basic phrases identified should be placed in a separate file, and then each of them should be analyzed. You should go through its search results, identifying the number of junk queries. At this stage, it should be established whether the combination is a potentially converting keyword for the advertising campaign. If so, you can collect search results and create ads for new queries. If there is no certainty, the ad can be run in test mode.
The following services are used to collect the competitors’ semantic core:
Google Ads and Yandex. Direct is used for the superficial analysis of competitors, while other paid services are used for more detailed analysis. However, the most effective campaign can be achieved by using SpyCon’s unused keyword tool. With it, you can get all the keywords used by competitors that were missed in previous checks. The service constantly collects real search terms entered and adds them to its own database, thus providing the most comprehensive list of relevant keywords.