Years Of Experience Creating And Editing

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JonY50#
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Joined: Tue Jan 31, 2023 9:40 am

Years Of Experience Creating And Editing

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Combine data freshness and granularity In addition to the standard monthly view, with Similarweb you can apply a weekly filter to the keyword view and get metrics for the previous week. This allows you to see how your competitors' campaigns are performing and the new keywords they're getting traffic from. You can view just the past week of data and the latest insights, or you can select any week in the past for high granularity of historical data. Screenshot of Similarweb keyword research tool with weekly filter option. The screenshot was taken on June th. You can view data for the week of June - . what do you get out of it Quickly detect small changes in search behavior. Instead of comparing month-to-month to see major trends unfold, you can immediately spot and capitalize on temporary fluctuations. Another advantage is that you can hone in on past events and activities specifically.

Let's say you're preparing for Cyber ​​Monday. You want to know how the Portugal mobile number list event affected search behavior and keyword performance in previous years. However, it falls in the same month as Black Friday and/or Christmas, so it is difficult to isolate the impact of that event. Narrowing the span down to one week helps you measure the impact of an event and reduce the noise of other events that occurred during the same month. Screenshot of Similarweb Keyword Research Tool showing traffic from December - , See keywords that drove traffic to your site during a given week, including keyword difficulty, cost-per-click, percent change, and more.

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Extremely slice and dice existing keyword ranking data Using the rank distribution view, you can easily and quickly reduce your data set to what really matters. It lets you filter keyword groups based on relevant parameters and shows you the top ranking websites. If you pursue comprehensive and detailed research, you're constantly splitting your data into small data subsets with different focuses. Screenshots of Similarweb rank distribution feature Large publishing sites covering a wide range of topics. The graph shows how to narrow down the rank distribution for each topic and feature.
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