Excel Template

If you open the excel document attached, you'll notice there are 5 columns: queries, clicks, impressions, CTR (click through rate) and position for a fictional bike company called "example".

This is example data downloaded from Google Search Console about a fictional bike company called "Example". Google Search Console allows us to download data about our website to see how we are ranking for given search terms.

To explain the columns if you are not familiar; queries are the actual search term that has been typed into google, clicks are the amount of clicks we rank for for that search term, impressions are the amount of times we show up on Google for that search term, CTR stands for click through rate and is a percentage of clicks to impressions and position is the average position we rank for the query on Google.

I'd like to be be able to upload any list with the same 5 columns and have it automatically tell me the following:

Average click through rate for positions 1-20 for branded and non-branded queries. See image attached for table to make it more obvious.

In essence, a "branded" query is any query with the brand name in - so in this example any query with the term "example....." in.

A "non-branded" query would be anything else, like "mountain bike" for example.

At the moment when I have my list I do the following:

1) Apply a filter on the "position" to filter the range I want. In the first instance this would be filtering the positions to only show those from 1 to 1.9. I would then apply an additional filter on the queries to exclude the brand name, in this example the brand name is "example". I then average the CTR with these filters on. I then repeat this process for "branded queries" in positions 1 to 1.9 (so queries where "example" is written in the query).

2) I then repeat this for positions 2 to 2.9

3) I then repeat this for positions 3 to 3.9

etc etc all the way to 20.

As a bonus point, sometimes there are a few misspellings of the brand name. I'd like the sheet to cross reference a list of branded terms I've typed in and it lumps all of them together. For example, our brand "Example" might show up for "eaxmple", "exmple", etc. I'd like to scan down the list, see which are commonly misspelled but which are clearly intended to be a brand search term and also exclude these on the non-branded queries report.

Any questions let me know,

Skills: Data Entry, Data Processing, Excel

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About the Employer:
( 1 review ) Brierley Hill, United Kingdom

Project ID: #17565585

64 freelancers are bidding on average £105 for this job


Hello Sir, I am a full time freelancer and can work dedicated on this till completion. My name is Jay and I am Excel and Web Scrapping Expert on and have been featured by the freelancer community (go More

£250 GBP in 3 days
(632 Reviews)

Hello, I have the good knowledge of Excel Template. I have more than 5 years of experience in Data Entry, Data Processing, Excel. I have reviewed your job and can deliver you the job with 100% satisfaction. Please More

£200 GBP in 3 days
(287 Reviews)

Hi, the idea is globally clear, but we need to discuss few point specially how you want to display thee filters and so on.. Can we have a short discussion please ? Thanks

£100 GBP in 3 days
(258 Reviews)

Hello, You need a calculation of average click through rate for positions 1-20 for branded and non-branded queries. I've done it already. Please reply to my proposal so I could send a file. Thank you and Best regards More

£20 GBP in 1 day
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£120 GBP in 3 days
(181 Reviews)

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£150 GBP in 2 days
(189 Reviews)

Greetings! I have reviewed your requirements and can develop a macro to import the file with raw data, process the same as per specifications and calculate the Average click through rate. I can set up a table to spe More

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(156 Reviews)

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(66 Reviews)

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£156 GBP in 3 days
(100 Reviews)

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£150 GBP in 3 days
(50 Reviews)

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£20 GBP in 3 days
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£250 GBP in 10 days
(16 Reviews)

ame 5 columns and have it automatically tell me the following: Average click through rate for positions 1-20 for branded and non-branded queries. See image attached for table to make it more obvious. In essence, More

£21 GBP in 3 days
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