To do this we are going to apply filters

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We go to SocialBro and we are going to search for SEOs in Spain, but we will also add a series of filters that I will explain below. look for quality followers Then we are going to enter the search keyword, which in this case would be “SEO” and the country, and then we click on search. look for quality followers on social networks Once the search is done, hundreds or thousands of Twitter accounts will appear and the number will depend on the term we have chosen, and now what we are going to do is a series of filters with the aim of searching only for those accounts that are most active in the social network, as well as those that are easier to follow back.


Follower/following ratio: Tweets per day: Minimum Czech Republic Phone Number List Spanish language. With these filters the list will have been considerably reduced, but with this we will have managed to obtain the list of the most active SEOs on Twitter in Spain and there are also many possibilities of returning the follow to another professional colleague. As the ratio of followers/followers increases, the chances of the person we follow returning the follow through this strategy are reduced. social media filters We are going to review one by one each of the biographies of the users that we have found in this search to follow those profiles that best suit our profile or preferences. I follow people each week using this method.




Step : Follow people a day who are very active and participatory with our content. For this we will use Commun.it, we will click on the “Community” section and we will be able to see sections: “Who Retweeted Me” and “Consider to Follow”, where we will find profiles to follow who are interested in the content we publish. commun Step : Unfollow inactive users. It is important that we follow very active people on Twitter but it may happen that some users stop using it over time and even abandon it, so it makes no sense to follow a person who does not publish. To do this, we will go to Socialbro to our community, specifically the users we follow, and we will apply a filter to show us the users whose last tweet is months or older, and we will analyze each case individually to see if we stop following them. to this person.