Post by account_disabled on Dec 23, 2023 21:38:03 GMT -6
PPC specialists encounter the click-through rate metric on a daily basis. Sometimes, however, they find themselves in a situation where they have to defend the given measure. For example, how would you respond to the argument that the given company has coverage of the Czech market of 25%, so why does it have a click-through rate of only 4% on an essential keyword? What are those people doing there when we are the best? CTR (click through rate) expresses the ratio between the number of clicks and the impressions of the ad. The fact that the click-through rate ranges from units to tens of percent is nothing new. Let's go through together what affects her, what she herself influences and how to work with her successfully.
One user - dozens B2B Email List of impressions, but no clicks! I would divide search engine users into two simple groups: those who buy (about 25%) and those who search for information (the remaining 75%). Both types of users have the same influence on the click-through rate if the buying users also do online research before making an online purchase . Users looking for a product to buy need to research the situation at the beginning of the buying process. So they start looking for a product from a wide range , many times they are not sure exactly. Let's say the user wants to buy a tour . He doesn't know what exactly, but he knows he wants a trip to the sea. So it starts with the search query "holiday by the sea".
He gets a response in the form of a page full of ads (here we already have the first impression). The user will start looking for a tour that will offer perfect services at a great price, will be available, etc., etc. So he will start clicking through individual ads and looking for an answer. He clicks through the first one, does not find what he likes, uses the back button to return to the search engine (2nd view), clicks through the next advertisement, again does not find what he was looking for, returns to the search engine (3rd view), etc. Like this he goes through all the links and finally makes a decision and returns to where he found the tour that most suited his requirements (after complete monitoring). This user gave us approx.
One user - dozens B2B Email List of impressions, but no clicks! I would divide search engine users into two simple groups: those who buy (about 25%) and those who search for information (the remaining 75%). Both types of users have the same influence on the click-through rate if the buying users also do online research before making an online purchase . Users looking for a product to buy need to research the situation at the beginning of the buying process. So they start looking for a product from a wide range , many times they are not sure exactly. Let's say the user wants to buy a tour . He doesn't know what exactly, but he knows he wants a trip to the sea. So it starts with the search query "holiday by the sea".
He gets a response in the form of a page full of ads (here we already have the first impression). The user will start looking for a tour that will offer perfect services at a great price, will be available, etc., etc. So he will start clicking through individual ads and looking for an answer. He clicks through the first one, does not find what he likes, uses the back button to return to the search engine (2nd view), clicks through the next advertisement, again does not find what he was looking for, returns to the search engine (3rd view), etc. Like this he goes through all the links and finally makes a decision and returns to where he found the tour that most suited his requirements (after complete monitoring). This user gave us approx.