Crawler Data

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  • There were almost no problems

    Showing that they were far behind them. With this alone, several improvements in loading time were achiev. Others require something more complex Other times, however, it is necessary to make a little more complicat visualization.

    In the following capture

    Which uses data from our crawler, a type of visualization was carri out that other tools already do in a similar way, however not with the type of parameterization that we use. us to see that in a section of the client’s website, in depth 1 and 2 (green lines), but when we mov to depth 3 and 4, a large number of problems were found in the type of pages link.

    That is why, with a more complex

    Visualization but align with the client, various actions could be promot to improve the authority and crawl budget. Facilitates the extraction of insights/actionability The important thing is that the analysis provid helps to generate improvement viber database actions bas on data. For example, in the following case, Google Merchant data and the client’s stock data were mix.

     

    special data

    The objective was to make it easier for

    The client to understand which products from other brands are the ones that sell the most, being able to filter by market and category, and to indicate which are their most similar products. This allow the client to fe their categories with those products a summary of Internet marketing terms that are most similar to those that sell the most, improving conversion and therefore optimizing what they already capture in SEO.

    Help control strategies Let’s not forget

    That timely visualization helps us control strategies. In the following case, a client publish many pages a day, so an early URL indexing strategy was creat, which we follow with the following dashboard that mixes GSC and Logs data, thinking especially about controlling the number of URLs publish and the spe at which Google crawls them, as well as the spe at which said URLs begin to generate impressions/clicks. In conclusion If you want to get snbd host the true potential out of your SEO data, don’t look at data sources separately.

  • This parameterization allowed

    A crossover, but in this crossover business you can really mess things up and obtain actionable insights that you would never have been able to obtain with separate sources. Find the perfect moment for each ingrient.

    It may be that the different ingrients

     

    You ne for your SEO cocktail have data available at different times, so it is important that you find the ideal time for all of them and can cross-reference them. Make things easy for data consumption Make sure that all your data sources reside in a centraliz data warehouse.

    This will allow you to cross-referencd

    Model data more easily, as well as connect the different visualization tools you work with to said warehouse. Data presentation is very important twitter data You have to find a balance in the presentation. Of course, it is important to dicate the appropriate effort to visualization, but without losing focus.

     

    special data

    This only means that you dicate the appropriate

    Necessary time to an effective transmission of information, without losing focus on the usefulness or on the line of analysis that you are solving. Choose graphics bas on what you want to convey There are many ways to convey information, so if you want three ways you must know about promoting seo articles to convey deviation data or, for example, correlation data, look for the most appropriate graphics. Here is a reference that can help you with this. h ttps://ft-interactive.github.io/visual-vocabulary.

    Sometimes something simple is enough

    Sometimes you don’t ne to complicate your life too much to generate action. Maybe, as in the following screenshot with a bar graph and other stack bar graphs, you can get the expect result. In this case, a client ask us to help them communicate to their snbd host IT department that their PLPs were not loading quickly. Therefore, using the CRUX API, data was extract from their PLPs and from several of their competitors

  • Obtain greater potential in

    This can even be done from Google Sheets, although if you use more advanc tools such as workflow control or a custom programm process, you should do it from these same tools. Transform ingrients to obtain greater potential Every ingrient can be transform and generate new flavours.

    This means that once

    You have the data from a source, said data can be improv with transformations andthe final analysis. An example of this can be the GSC data, which in its original version is already useful, but adding new data such as keyword type (e.g. brand, exact brand and non-brand) greatly expands the spectrum for its subsequent exploitation.

    In addition, said transformations can generally be

     

    Obtain through the basic data without very complex processes. As a simple example of transformation and from Looker Studio itself, you can obtain the keyword type value mention above and there are even several ways to do so (CASE function or groups): The underlying idea is to use these transformations to improve analysis. For truemoney database example, in the following capture.

     

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    Which uses two data transformations (clicsCluster and positionCluster)

     

    You can clearly see how most of the client’s important key to seo operations: analyze your competitors TOP3 keywords contribute almost no clicks, and the few in TOP3 that do contribute do not do so to a large extent.

    In addition, a more in-depth analysis show that most of them were brand. Mix, not shaken Once we have the ingrients ready to use, it is also important to know how to mix them. Generally, this process consists of each data source to be mix having a common cross.

    ID for all of them, and if this

    ID is not initially available, trying to assemble it (you can even do this from Sheets, although other tools such as SQL give you greater potential). That is why if we manage to do this well, what would be several valuable data sources separately, greatly snbd host improve the potential/ease of analysis when crossing them. As you may have notic, the above is a simple example of.