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HanR www.hannahrampton.co.uk 59of
QUERYGetting started in Google Sheets
1
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ABOUT ME
Technical SEO Consultant with over 10 years
experience, having worked for agencies such as
StrategiQ and SEOgadget (now Builtvisible).
Awarded the Digital Marketing Award in 2018 at
the DevelopHER awards for my innovations and in-
house tools and the Inspiration Award in 2019.
HAN
Freelance Consultant
WITH A SIMPLE QUERY
UNLOCK GREAT POWER
HanR www.hannahrampton.co.uk 59of4
SEARCH CONSOLE QUICK INSIGHTS
This tool works entirely on Query
functions and is effectively
advanced search features to help
you explore your data.
This tool uses relatively simple
queries unlike the Cannibalisation
Explore.
DETAILS
DOWNLOAD
bit.ly/GSCsheet
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HanR www.hannahrampton.co.uk 59of6
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CANNIBALISATION EXPLORER
Using Google Data Studio, this
tool helps you discover potential
cannibalisation.
This uses blended GSC data via
the API to count landing pages
per query and compare metrics.
DETAILS
DOWNLOAD
bit.ly/KW-C
HanR www.hannahrampton.co.uk 59of8
CANNIBALISATION EXPLORER
This sheet compliments the
Data Studio report and uses
the exported data.
It returns the keyword with
the count of URLs, the top 10
URLs transposed with
impression distribution shown.
DETAILS
DOWNLOAD
bit.ly/KW-C
HanR www.hannahrampton.co.uk 59of9
GETTING STARTED
WITH THE QUERY FUNCTION
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INTRODUCING QUERY
The query function runs a Google Visualization API Query
Language query across data.
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BEN COLLINS
It allows you to use powerful database code (a pseudo-
SQL, Structured Query Language, the code used to
communicate with databases) to manipulate your data in
Google Sheets and it’s SUPER powerful.
https://www.benlcollins.com/
HanR www.hannahrampton.co.uk 59of13
BEN COLLINS
It allows you to use powerful database code (a pseudo-
SQL, Structured Query Language, the code used to
communicate with databases) to manipulate your data in
Google Sheets and it’s SUPER powerful.
It’s arguably the most powerful function in Google Sheets.
https://www.benlcollins.com/
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INTRODUCING QUERY
It combines filtering with arithmetic functions and
aggregation such as AVG, SUM, MAX, COUNT, allowing
you to both cleanse and calculate in a single query.
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SYNTAX
=QUERY(table1,“pseudo-SQL here“,[optional headers])
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SYNTAX
=QUERY(table1,“pseudo-SQL here“,[optional headers])
Data - Table or
Range
Optional
headers
(# of header rows)
Query
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EXAMPLE
STATEMENTS
SELECT * WHERE A CONTAINS ‘SALE’
SELECT A,B,C WHERE B > 10
SELECT A,B,C,D WHERE A MATCHES
‘motorcycle|motorbike'
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SYNTAX
=QUERY(table1,“SELECT * WHERE A CONTAINS ‘SALE’”,1)
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CLAUSES
SELECT
WHERE
GROUP BY
PIVOT
ORDER BY
LIMIT
OFFSET
LABEL
FORMAT
OPTIONS
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CLAUSES
SELECT
WHERE
GROUP BY
PIVOT
ORDER BY
LIMIT
OFFSET
LABEL
FORMAT
OPTIONS
=QUERY(table1,“SELECT * WHERE
A CONTAINS ‘SALE’”)
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CLAUSES
SELECT
WHERE
GROUP BY
PIVOT
ORDER BY
LIMIT
OFFSET
LABEL
FORMAT
OPTIONS
=QUERY(table1,“SELECT * WHERE
NOT A CONTAINS ‘SALE’”)
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CLAUSES
SELECT
WHERE
GROUP BY
PIVOT
ORDER BY
LIMIT
OFFSET
LABEL
FORMAT
OPTIONS
=QUERY(table1,“SELECT * WHERE
A CONTAINS ‘SALE’ ORDER BY C
desc LIMIT 100”)
HanR www.hannahrampton.co.uk 59of23
CLAUSES
SELECT
WHERE
GROUP BY
PIVOT
ORDER BY
LIMIT
OFFSET
LABEL
FORMAT
OPTIONS
=QUERY(table1,“SELECT * WHERE
A CONTAINS ‘SALE’ ORDER BY C
desc LIMIT 100 LABEL C ‘Top
100 Clicks Desc’”)
WHERE DO WE START?
EXACTLY WHERE I DID
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MY FIRST QUERY
LET’S FLY THROUGH
WITH THESE IN ACTION
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SELECT
ALL
Select *
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ONLY
MOBILE
Select * where
B contains
‘mobile’
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CLICKS
> 10
Select * where
C > 10
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SUM AND
GROUP
Select A, B
Sum C, D
Group by A, B
Label A, B, C, D
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SUM AND
GROUP
Select A, B
Sum C, D
Group by A, B
Label A, B, C, D
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PIVOT AND
GROUP
Easy way to
remember
Group = Rows
Pivot = Columns
PLUS CHECK OUT
THIS TOOLBOX
HanR www.hannahrampton.co.uk 59of34
LOGICAL
OPERATORS
AND
OR
NOT
=QUERY(table1,“SELECT * WHERE
A CONTAINS ‘SALE’ AND B <
100”)
https://developers.google.com/chart/interactive/docs/querylanguage#where
HanR www.hannahrampton.co.uk 59of35
LOGICAL
OPERATORS
AND
OR
NOT
=QUERY(table1,“SELECT * WHERE
A CONTAINS ‘SALE’ OR B <
100”)
https://developers.google.com/chart/interactive/docs/querylanguage#where
HanR www.hannahrampton.co.uk 59of36
STRING
COMPARISON
Contains
Starts with
Ends with
Matches
Like
=QUERY(table1,“SELECT * WHERE
A CONTAINS ‘SALE’”)
https://developers.google.com/chart/interactive/docs/querylanguage#where
HanR www.hannahrampton.co.uk 59of37
STRING
COMPARISON
Contains
Starts with
Ends with
Matches
Like
=QUERY(table1,“SELECT * WHERE
A MATCHES
‘motorcycle|motorbike'”)
https://developers.google.com/chart/interactive/docs/querylanguage#where
HanR www.hannahrampton.co.uk 59of38
STRING
COMPARISON
Contains
Starts with
Ends with
Matches
Like
=QUERY(table1,“SELECT * WHERE
A MATCHES
'.*b("&$B$4&")b.*'”)
https://developers.google.com/chart/interactive/docs/querylanguage#where
HanR www.hannahrampton.co.uk 59of39
COMPARISON
OPERATORS
>
<
=
<=
>=
!= or <> (Not equal to)
=QUERY(table1,“SELECT *
WHERE B < 100”)
https://developers.google.com/chart/interactive/docs/querylanguage#where
HanR www.hannahrampton.co.uk 59of40
COMPARISON
OPERATORS
=QUERY(table1,“SELECT *
WHERE B >= 100”)
https://developers.google.com/chart/interactive/docs/querylanguage#where
>
<
=
<=
>=
!= or <> (Not equal to)
HanR www.hannahrampton.co.uk 59of41
COMPARISON
OPERATORS
=QUERY(table1,“SELECT *
WHERE B IS NOT NULL”)
https://developers.google.com/chart/interactive/docs/querylanguage#where
Is Null
Is Not Null
HanR www.hannahrampton.co.uk 59of42
ARITHMETIC
+
-
*
/
https://developers.google.com/chart/interactive/docs/querylanguage#arithmetic-operators
=QUERY(table1,“SELECT
A,B,(C/D),E-D,F+G”)
HanR www.hannahrampton.co.uk 59of43
AGGREGATION
avg()
min()
max()
sum()
count()
https://developers.google.com/chart/interactive/docs/querylanguage#aggregation-functions
=QUERY(table1,"SELECT SUM(B),
SUM(D), AVG(H) LABEL SUM(B) 'All
Clicks’, SUM(D) 'All Impressions’,
AVG(H) 'Avg Position'")
HanR www.hannahrampton.co.uk 59of44
SCALAR
lower()
upper()
dateDiff()
toDate()
now()
https://developers.google.com/chart/interactive/docs/querylanguage#scalar-functions
=QUERY(table1,“SELECT A,B
WHERE lower(A) contains
‘sale’”)
HanR www.hannahrampton.co.uk 59of45
OTHER SHEET
FUNCTIONS
unique
iferror
if
vlookup
transpose
Etc…
=iferror(QUERY(table1,“SELECT
A,B WHERE lower(A) contains
‘sale’”),”error”)
WITH THE BASICS COVERED
LET’S GO BACK TO THE TOOLS
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Search Console
Quick Insights
Select where
lower(A)
is not null
AND
lower(A)
matches B4
Order by
vlookup value
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Cannibalisation
Explorer
Query selecting
all, with some
exclusions set via
settings
(not A contains)
Wrapped in an IF
and IFERROR
HanR www.hannahrampton.co.uk 59of49
Cannibalisation
Explorer
A progress bar
guides the user
through the
information we
need.
This is output to the
settings page and
used by the query.
HanR www.hannahrampton.co.uk 59of50
Cannibalisation
Explorer
B >= Settings!A:B
Not A contains
Settings!D1:D5, F1
AND A contains
Settings!L1
Order by B desc
Limit by Settings!J:K
HanR www.hannahrampton.co.uk 59of52
HanR www.hannahrampton.co.uk 59of53
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Select A where A =
Select A where A contains '"&A17&“’
HanR www.hannahrampton.co.uk 59of55
Select A where A =
Select A where A contains '"&A17&“’
=if(isblank(A20),"(None matching)",concatenate("(found "&counta(A19:A)+1)&")")
HanR www.hannahrampton.co.uk 59of
DOWNLOAD
bit.ly/QuerySheets
HanR www.hannahrampton.co.uk 59of
Thanks for your time!
@hannahrampton
contact@hannahrampton.co.uk
www.hannahrampton.co.uk
58
AVAILABLE FOR FREELANCE SUPPORT
HanR www.hannahrampton.co.uk 59of59
RESOURCES
1. https://developers.google.com/chart/interactive/docs/querylanguage
2. https://www.benlcollins.com/spreadsheets/google-sheets-query-sql/
3. https://infoinspired.com/google-docs/spreadsheet/learn-query-
function-with-examples-in-google-sheets/
4. https://www.seerinteractive.com/blog/how-to-query-data-in-google-
sheets/

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Hannah Rampton: Getting started with Query in Google Sheets

Editor's Notes

  1. I like to solve problems. I came across Query whilst building a custom search function for keyword research.
  2. Note about calculated fields Mention without affecting the source
  3. If omitted or set to -1, the value is guessed based on the content of data.
  4. Start all Query functions with this first to ensure it returns data as expected, then refine for the options you need.
  5. !!! Note on is not null / is null !!!
  6. Great for incomplete data where you want to skip the ones where data is missing
  7. Scalar functions are most easily conceptualized by thinking of them as reformatting a value from one state to another. 
  8. Unique, Iferror, If, Vlookup, Transpose,
  9. B is greater than or equal to Rank Threshold, Not A Contains D1-D5 (keywords),F1 and L1 excluding the others like domain, then order by URL count desc
  10. Sometimes its more about presentation than calculation
  11. Select A where A = Select A where A contains
  12. Select A where A = Select A where A contains
  13. ADD BITLY LINK
  14. https://www.labnol.org/internet/track-google-spreadsheets/29107/