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I Simply
Excel
6m 6m 6m
@ecouch11
Eric Couch
Client Dev. & Training Manager
Bing Ads, Microsoft
I Excel, therefore I rock
Learn formatting tricks to make your data easy to read.
Meet your new best friend, the Pivot Table.
Turbocharge the Bing Ads Interface.
I Excel, therefore I rock
Use Power Map to discover the power of predictive marketing.
Combine your formulas to get things done.
Use plugins that go beyond basic Excel functions.
Want to follow along?
Go to this URL and download the file:
http://aka.ms/ISIMPLYEXCEL
Avoid spreadsheet
blindness with
conditional formatting.
The answer:
It’s an Excel function that allows you to format things.
Conditionally.
The question:
What is conditional formatting?
The real answer:
Conditional formatting is a function that
allows you to automatically change the
format of a cell based on values and
parameters that you dictate.
What can it change?
Text color and format.
Cell colors.
Bar graph overlays.
Inserting graphics.
Where do I find it?
Here.
What are our options?
Highlight cells according to values you set.
What are our options?
Highlight cells according to predefined rules.
What are our options?
Layer data bars over your spreadsheet.
What are our options?
Layer color gradients over your spreadsheet.
What are our options?
Insert icon sets in-line with your data.
Create a dayparting heat map
Create an account
report from the
Report Center,
making sure that
the unit of time is
Hour of Day.
Download the
report to Excel.
Make the unit of
time Hour of Day.
Create a dayparting heat map
To use conditional
formatting
properly, you must
highlight each
column
individually-
otherwise the scale
is thrown off…
Create a dayparting heat map
Like this.
Instead, if we
highlight each
column individually
and apply the
appropriate color
scale…
Create a dayparting heat map
We see a more
accurate picture of
account
performance by
time of day,
visualized in heat
map form.
Create a dayparting heat map
And adding
gradient bars to
your quantitative
metrics provides
even more insight.
So, what should
we do here?
What else can it do?
What else can it do?
Did you notice this?
Those last two heat maps had something
in common:
Did you notice this?
They both came from
Pivot Tables.
Meet your new
best friend, the
Pivot Table.
A hypothetical situation
Let’s say you need to pull the following report:
Reporting Needs
Keyword Performance Report
6-Month performance broken out by:
• Month
• Match type
• Devices
• Conversions
Typical interface reports
• Too much data
• Same metrics
repeated
• Hard to simplify
The takeaway: this report isn’t actionable.
Enter the Pivot Table
A pivot table is a program tool that allows
you to aggregate and compare data from
selected columns and rows.
You can manipulate to obtain a desired
report.
In English, please?
It’s a reporting tool you can do a bunch of
crazy stuff with.
It’s awesome.
How awesome, you ask?
• Raw output
• No actionable or obvious
insights
• Requires adjustments
and filters to use as a
report
• Summarizes data in easy-
to-digest formats
• Quickly compares subsets
of data
• Reveals patterns and
relations in the data
• Allows for fast analysis
Consider our problem
Rows Values Columns Filters
What am I
trying to
measure?
How am I
measuring it?
How is it
broken out?
Anything to
focus on
specifically?
Which keywords get the most clicks broken out by match type on computers?
In visual form, please?
Which keywords get the most clicks broken out by match type on computers?
These four elements…
Build and
define a
PivotTable
Steps to performing a perfect pivot:
1. Determine what the table should display.
2. Select all the data you want to pivot.
3. Navigate to ‘Insert’ > Pivot Table.
4. Choose the location for your table and create it.
5. Drag and drop Field List elements in to place.
1. Determine what the table displays
FILTER COLUMNS
(Empty) (Empty)
ROWS VALUES
Keyword Clicks
Which keywords get the most clicks?
ROWS VALUES
1. Determine what the table displays
FILTER COLUMNS
(Empty) Match type
ROWS VALUES
Keyword Clicks
COLUMNS
ROWS VALUES
Which keywords get the most clicks broken out by match type?
1. Determine what the table displays
FILTER COLUMNS
Device Match type
ROWS VALUES
Keyword Clicks
Which keywords get the most clicks broken out by match type on computers?
FILTER COLUMNS
ROWS VALUES
2. Select your data
Tip: Grab all the data.
You never know which
fields you might want to
incorporate.
3. Navigate to ‘Insert’>Pivot Table
This will prompt you to choose a location for the new table.
4. Choose table location and create
Typically it’s best to create a
new worksheet for this table.
Hint:
5. Drag & drop Field List elements
These fields are physically moved
into the proper quadrant.
FILTERS Device
COLUMNS Match type
ROWS Keyword
VALUES Clicks
Putting it into practice
Which keywords get the most clicks broken out by match type on computers?
Seems pretty basic, right?
Fine. Then I'll show you my very favorite
application for Pivot Tables.
Normalized Quality Score.
What’s the big deal about that?
The problem with a normal pivot table
looking at Quality Score is that it uses
averages.
Averages lie.
Not your average liar
We have five keywords in an Ad Group.
KEYWORD QUALITY SCORE
Keyword 1 10
Keyword 2 10
Keyword 3 3
Keyword 4 10
Keyword 5 10
Not your average liar
Technically, this Ad Group has an average
Quality Score of 8.6…
KEYWORD QUALITY SCORE
Keyword 1 10
Keyword 2 10
Keyword 3 3
Keyword 4 10
Keyword 5 10
Not your average liar
But clearly there’s a problem here, right?
KEYWORD QUALITY SCORE
Keyword 1 10
Keyword 2 10
Keyword 3 3
Keyword 4 10
Keyword 5 10
Not your average liar
Especially if we have a situation like this.
KEYWORD QUALITY SCORE IMPRESSIONS
Keyword 1 10 100
Keyword 2 10 2,225
Keyword 3 3 10,432
Keyword 4 10 5
Keyword 5 10 62
Okay, we see your point
Luckily, we can tweak our Pivot Table to
identify this issue in our account.
We just need to add some columns to our
data sheet, use a calculated field, and
then sort/filter the result.
How?
Like this.
Normalized Quality Score
Download a
keyword report
from the Report
center.
Make sure it
includes Spend,
Impressions, and
Quality Score.
Make the
date range
Last 30
Days.
Pivot Table Protip #1
Your Excel spreadsheet was not carved in
stone.
You can change it, or add to it. It’s okay!
Normalized Quality Score
Add a column to
the end and title it
QS*Impressions.
For each keyword,
you’ll multiply your
Impressions by
your Quality Score.
Then Pivot Table it.
(Pivot Table Protip #2: CTRL + Shift + arrow keys make selecting Pivot Table data way easier.)
Normalized Quality Score
Put your Ad Groups
in the Row field.
Put Average of
Quality Score, Sum
of Impressions, and
Sum of Spend in
the Values field.
Pivot Table Protip #3
Use calculated fields when you’re working
with aggregate derived metrics in a Pivot
Table.
Or for when you want to calculate
something very interesting.
Normalized Quality Score
Insert a calculated
field in to your Pivot
Table. You can find
it under “Fields,
Items & Sets” in
the Pivot Table Tools
“Analyze” tab.
Normalized Quality Score
For your calculated
field, name it
Normalized
Quality Score. For
the formula, make it:
‘QS*Impressions’
Impressions
Why does this work?
Because we’re looking at this at the Ad Group
level, not just the keyword level.
By weighting for Impressions, we’re able to
quickly identify Ad Groups that have poor
Quality Score keywords driving all the traffic.
Remember this?
This ad group has an average QS of 8.6.
KEYWORD QUALITY SCORE IMPRESSIONS
Keyword 1 10 100
Keyword 2 10 2,225
Keyword 3 3 10,432
Keyword 4 10 5
Keyword 5 10 62
Remember this?
Weighted for Impressions, it’s at a 4.3.
KEYWORD QS IMPRESSIONS QS*Impr
Keyword 1 10 100 1,000
Keyword 2 10 2,225 22,250
Keyword 3 3 10,432 31,296
Keyword 4 10 5 50
Keyword 5 10 62 620
Normalized Quality Score
Now you can
analyze your ad
groups by their true
Quality Score, and
quickly determine
where you should
break out your
keywords.
Pivot Table Protip #4
You can actually sort and filter a Pivot
Table by more than just the Row values.
How? Use Sort & Filter on the cell right
next to the top row in your Pivot Table.
This one.
Look for the following
A Normalized Quality Score of 4 or below.
Sort descending by Spend.
A large difference between Average QS and
Normalized QS.
Satisfied?
I hope so.
Because otherwise I’ll come back and talk for
another hour about how to Pivot Table 100,000
lines of Salesforce lead data with monthly
campaign performance reports.
How to turbocharge
the Bing Ads Interface
with Excel.
Campaign Planner
Campaign planner
Check performance data
Identify search traffic trends
View insights by vertical,
product or keywords
Plan campaigns with
better insights.
Monitor marketplace
changes across your
industry.
Discover new
campaign, ad group,
and keyword ideas.
Campaign planner
View performance and
traffic data.
Get vertical and product
insights.
Gain competitive insights
by keyword & industry.
Pin and save favorite terms
and verticals for later use.
Trends by keyword and over time
View keyword/vertical trends and performance data over time by
looking at the Summary tab.
Competitive breakdown
Build a competitive view of the marketplace before you even start
advertising by using the Competition tab.
Even more campaign planning
Even more campaign planning
Even more campaign planning
Campaign
Planner
Even more campaign planning
Even more campaign planning
Auction Insights
Bing Ads Auction Insights
Gain actionable insights about your competition
See how your ads compare
to other advertisers.
Monitor the competition
over time.
Discover opportunities by
using 5 key metrics.
5 key Auction Insights metrics
1. Impression share
• Of the available impressions out there, how many did you get?
2. Average position
• Where did your ad show up on the results page?
3. Overlap rate
• How often did you compete against other advertisers?
5 key Auction Insights metrics
4. Position above rate
• How often did other advertisers show up above you?
5. Top of page rate
• How often did either you or your competitors show up in
mainline positions?
Chart your competitive landscape
Troubleshoot and compare your account versus your competition.
Auction
Insights
Use the power of
predictive marketing
with Power Map.
Context.
$74.9B
Second highest spending
period, behind winter holidays.
September 4th, 2014
1,000,000
students
When does the
first day of school
really start?
July 29th, 2015
All 180,000 of Hawaii’s
K-12 Public School students
went back to school.
When does the
first day of school
really start?
August 24th, 2015
All 5,000,000 of Texas’s
K-12 Public School students
went back to school.
When does the
first day of school
really start?
September 8th, 2015
Chicago public schools had
400,000 students go back in
the classroom.
When does the
first day of school
really start?
September 9th, 2015
New York City, the largest
school district in the United
States, had 1,000,000
students back in school.
What does this look like in Excel?
California Wisconsin
What does this look like in Excel?
Number of students going back to school by 1st day
Wisconsin
Back-to-school visualization
Texas
Great
Lakes New
York
Arkansa
s
Example action plan
Tools Power Map, Power BI, Tableau
Ad Copy Back to School
Bids Incremental bids by geo during peaks
Structure Separate for major school districts: TX, NYC, LA
Combine Excel
formulas like a mad
scientist.
Using Excel PPC formulas
Excel is an incredibly versatile tool,
and almost every formula can have
unique PPC applications.
Formulas like…
Using Excel PPC formulas
=IF
For making conditional if/then statements, like:
“If my conversions are greater than 1, then
increase my bid by 10%, otherwise make it 5%.”
Using Excel PPC formulas
=IF
You can also make use of nested if/then
statements for more power, like:
“IF my conversions are greater than 1, AND it’s
below position 3, AND it’s exact, THEN…”
!
Using new Excel PPC formulas
=IFS
Use IFS if you’re not comfortable with multiple
IF statements in a row.
Like IF you want to increase bids 10% for
multiple conversions, but only 5% for poor
average position.
=LEN
For counting the number of
characters used in a cell…
Like for your ad copy, in this case.
Using Excel PPC formulas
=CORREL (or PEARSON)
Analyzes the positive or negative correlation
in a data set. Use CORREL to determine how
fluctuating campaign spend is impacting your
overall business.
Using Excel PPC formulas
=STDEV
Provides the standard deviation (variance) in a
data set. Useful in comparing your bids vs.
the competition.
Using Excel PPC formulas
=LINEST
Calculates the statistics for a line by using the
"least squares" method. You can use this to
project future performance based on past
metrics.
Using Excel PPC formulas
=CONCATENATE
For combining the contents of one cell with
another…
Using Excel PPC formulas
=CONCATENATE
For combining the contents of one cell with
another… or combining the contents of that
cell with any text string contained in
quotation marks.
Using Excel PPC formulas
!
=TEXTJOIN
A more powerful form of CONCATENATE.
Allows you to automatically add delimiters,
ignore empty cells, and join arrays of cells
together.
Using new Excel PPC formulas
=SUBSTITUTE
For substituting one character
for another - also useful for creating
modified broad match keywords.
Using Excel PPC formulas
While each individual formula is useful on its
own, by combining them in nested formulas
you can achieve more, faster.
For instance…
Combining Excel PPC formulas
You can combine CONCATENATE and SUBSTITUTE.
And you can also combine IF, CONCATENATE, and SUBSTITUTE.
The problem
Let’s say you need to generate 349,372
keyword-level destination URLs.
They have unique location, ad group, and
product Identifiers.
Do you think you could do that manually?
The solution
VLOOKUP
VLOOKUP = Vertical LOOKUP
If you need to cross-reference a lot of data, this is how you do it.
Note: Or, you know, use INDEX MATCH too.
What’s that?
VLOOKUP:
=VLOOKUP(LOOKUP_VALUE,TABLE_ARRAY,COL_INDEX_NUM,[RANGE LOOKUP])
It looks a little intimidating, so we’ll break it down.
The VLOOKUP formula
VLOOKUP:
=VLOOKUP(LOOKUP_VALUE,TABLE_ARRAY,COL_INDEX_NUM,[RANGE LOOKUP])
What you’re trying to look up.
The VLOOKUP formula
VLOOKUP:
=VLOOKUP(LOOKUP_VALUE,TABLE_ARRAY,COL_INDEX_NUM,[RANGE LOOKUP])
The array of cells you’re targeting for this search – it
contains what you’re trying to look up, as well as any
corresponding values.
The VLOOKUP formula
VLOOKUP:
=VLOOKUP(LOOKUP_VALUE,TABLE_ARRAY,COL_INDEX_NUM,[RANGE LOOKUP])
The specific column you want to pull in on this search.
The VLOOKUP formula
CONCATENATE = Combines cells.
If you need to combine multiple cells…
(Hint: cells that you might have populated with VLOOKUP.)
This is how you do it.
A small reminder
CONCATENATE:
=CONCATENATE(TEXT1,TEXT2…)
It can refer to both cells or strings of text.
Easy enough, right?
The CONCATENATE formula
Combining Excel formulas
Here, we have six
ad groups with six
different keywords,
along with a need
for six different
destination URLs.
Combining Excel formulas
We’ve also
prepared a master
list of URLs to
cross-reference
with our ad groups.
Combining Excel formulas
We can cross-
reference our ad
groups with our
Master List using
VLOOKUP to get
our URLs in to the
new sheet…
Combining Excel formulas
Then use the SUBSTITUTE formula to prepare our campaign and
keyword columns for use with our tracking tags…
Combining Excel formulas
And then CONCATENATE these cells together (in order) to create six
unique destination URLs.
Wait, I thought you said combining
Don’t want to take five steps to accomplish one task?
Do it in one formula.
Combining Excel formulas
You can also just CONCATENATE these formulas together, doing this
entire process in one step rather than five.
=CONCATENATE(VLOOKUP,”TEXT”,SUBSTITUTE,”TEXT”,SUBSTITUTE)
Time out.
This sounds awfully
complicated. Have you
ever actually used this?
In a word…
That says 18,388 by the way.
YES
Doing the math
18,388
keyword URLs
8 provinces
18,388
keyword URLs
11 cities
Doing the math
349,372
unique keyword URLs generated.
In about a half hour.
(Most of that was spent waiting for the formula to compute.)
Doing the math
All done through
VLOOKUP, SUBSTITUTE, & CONCATENATE.
Use plugins to
go beyond
vanilla Excel.
Bing Ads Intelligence
Bing Ads Intelligence is a powerful
keyword research tool
Create
bulksheets
Easily build
lists
Get insights on
traffic
Get keyword
suggestions
Why is this so
important?
Direct line to Bing Ads
performance data
1
2
Reduce needless overlap
from Google campaigns
3
Determine campaign
positional ‘sweet spot’
4
Refine your targeting scheme
specific to segments that work
5
Get insights you can’t get
from Google tools
Bing Ads Intelligence
makes keyword
research easier
Work with large
keyword lists of up to
200,000 words
Align with Bing Ads policies
by filtering out adult/brand
terms and duplicate
keywords from your results
Perform integrated
research on keyword
and bid estimates
What’s the cost to
advertisers?
$
Demographic
Location
Performance
Device
Downloading and installing
the tool
Log in and navigation
overview
Research options
BAI Output
Getting started with
Bing Ads Intelligence
bingads.com/BAI
Download and install
Specific keyword performance
numbers, demographic information,
positional analysis once keywords
have been chosen
Keyword research options and initial
keyword relationships created here
Bulksheet options for easy importing
Log-in and navigation
Sign-in details
Ability to select specific
accounts for further
research
Use your existing Bing Ads
username or Microsoft account
Sign in to your Bing Ads account.
Keyword Suggestions: Generate a list of suggested keywords based on a term you’ve selected
1. Choose starter term 2. Select ‘Keyword Suggestions’ 3. Review results
Demo
Demo
Use Keyword
Suggestions to find
more keywords with
the power of filtering
and sorting within Excel.
Traffic numbers are available for researched terms for a range of dates and device types
Keyword performance details offer insight into how particular terms ought to perform at different
positions, for particular match types, across certain devices.
Get relevant keywords based on a specific webpage
Create a list of additional keywords to expand your list
Generate a list of phrases containing your keyword
Make a list of keywords other advertisers are bidding on
Find search terms that are similar to your keywords
Generate a list of business categories that apply to each keyword
Find locations that had the most searches on specified keywords
Age and gender percentages for keywords over the last 30 days
Keyword bid estimates for mainline and sidebar positions
Keyword research templates: Download templates to
create charts and graphs of your research results
Create bulksheet: Creates a .CSV file
containing keywords suggested by
Bing Ads Intelligence which you
can then import into your Bing Ads
account.
Get keyword
suggestions
What keywords should
I choose?
How much should I bid? Who is searching for
my keywords?
Does search traffic vary
by location?
Keyword research tools
Keyword
suggestions
Traffic Keyword
performance
“Cars”
Searches
Cars
Clicks
CTR
Total cost
Impressions
CPC
Avg. Bid
Bid Estimation will tell you how much it costs to get into certain positions
Bid based on position analysis
Demo
Analyze bids by
device and position
with the Keyword
Performance
report.
KEYWORD BID
Target toward advantageous segments
car dealerships
car dealerships
18 - 24 25 - 34 35 – 49 50 - 64 65+
car dealerships
21%
6%
73%
car dealerships
Layer in device data with demographics
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Age18_24 Age25_34 Age35_49 Age50_64 Age65Plus
Tablets
Smart phones
Desktops and laptops
Find demographic
insights on key terms
with the Age &
Gender report.
Demo
car dealerships
28.3%
12.7%
10.1%
5%
11.9%
7.3%
8.1%
5.2%
6%
5.4%
Utilize the Keyword
Categories and
Webpage Keywords
tools to troubleshoot
keywords with a low
Quality Score.
Demo
Is there a way to use Excel to
intelligently determine how to
best spend our advertising budgets?
Can we do this across multiple accounts?
Another question
Another answer
Yes.
(Just not with regular Excel.)
Then how?
Excel Solver.
What’s that?
It’s another Excel plugin.
It solves things.
What does it solve?
Equations like “what is my most efficient budget
allocation to maximize conversion volume”.
Specifically, it solves equations that you give it
according to parameters that you set.
Where do you find it?
It’s not included by default, but you can find it
by going to your Excel Options menu, and
then going to Add-Ins.
Where do you find it?
Here.
It’s right here in
the Data tab.
Excel Solver
Once installed, you can do
cool stuff like this:
Excel solved budgets
A mix of Bing and
Google campaigns.
Average daily spend
across all campaigns.
Optimal budget as
found by Excel Solver.
Excel solved budgets
Download a
campaign report
from the Report
center.
Make sure it
includes Avg. CPC,
Cost, Conversions,
and Conv. Rate.
Make the
date range
Last 30
Days.
Include Impression share
lost to budget (%).
Excel solved budgets
You can also include the same
metrics from other accounts
for cross-account
optimization.
Just make sure your
Impression share lost to
budget metrics are all in the
same column.
Excel solved budgets
Find your Average
Daily Spend for each
campaign.
The formula in this
case is:
“Cost/30 Days”
Excel solved budgets
Then, find your Maximum
Possible Daily Spend for
each campaign.
That formula is:
= Average Daily Spend
(1 – Lost Imp. Share)
Excel solved budgets
We’ve found several
campaigns that are
very limited by
budget.
We have an
opportunity to grow
here, but would it be
profitable to do so?
Excel solved budgets
Enter Excel Solver.
Add in three Solver
columns:
• Solved Budget
• Solved Clicks
• Solved Conversions
How it works
Solved Budget is left
totally to Excel Solver, so
leave it blank.
How it works
Solver will take our budgets, and using
our campaign Average CPC, will find
the new click total for each campaign.
That will be your Solved Clicks column.
= (Solved Budget / Average CPC)
How it works
Once you have Solved Clicks, you then
use your Conversion Rate to find the
new Conversion total for each campaign.
That will be your Solved Conversions column.
= (Solved Clicks * Conversion Rate)
Where you say “give me as
many conversions as possible.”
Where you say “do this by
changing my budget.”
Where you say “but make sure
my campaign can actually
spend that.”
Excel solved budgets
Basically, we’ve told
solver to give us as
many conversions as
possible.
Solver fills in the
budget field, which
then populates your
new click and
conversion totals.
The highlighted campaigns
are getting paused.
Excel solved budgets
We can then use those
new budget totals to
effectively reallocate
our spend across all
our PPC campaigns
based on our
conversion metrics.
While others are getting a
budget boost.
Using both Solver and LINEST, you can chart out the potential
gains from increased spend, and even see the point of
diminishing returns.
Plus one more thing
You’re not limited to calculating your
existing budget, either.
That projects to 36 more conversions a month.
That’s a 17.6% increase with no change except budgets.
The takeaway
Just by reallocating our budget, we can gain
1.2 more conversions per day.
Wouldn’t you?
The takeaway
I’ll take that any day.
You Excel, therefore you rock
Conditional formatting makes your data easy to read.
Use Pivot Tables to get insights you can’t find any other way.
Make the most of features like the Campaign Planner and
Auction Insights with Excel.
You Excel, therefore you rock
Gain awesome insights with Power Map to predict your
marketing future.
Combine VLOOKUP with other formulas to get things done.
Use plug-ins like Bing Ads Intelligence and Solver to go
beyond basic Excel functions.
Thank You!
© 2016 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other
product names are or may be registered trademarks and/or trademarks in the U.S.
and/or other countries.
The information herein is for informational purposes only and represents the current
view of Microsoft Corporation as of the date of this presentation.
Because Microsoft must respond to changing market conditions, it should not
be interpreted as a commitment on the part of Microsoft, and Microsoft cannot
guarantee the accuracy of any information provided after the date
of this presentation.
Microsoft MAKES NO WARRANTIES–EXPRESS, IMPLIED, OR STATUTORY–
REGARDING THEI NFORMATION IN THIS PRESENTATION.
I Simply Excel

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I Simply Excel

  • 2. 6m 6m 6m @ecouch11 Eric Couch Client Dev. & Training Manager Bing Ads, Microsoft
  • 3. I Excel, therefore I rock Learn formatting tricks to make your data easy to read. Meet your new best friend, the Pivot Table. Turbocharge the Bing Ads Interface.
  • 4. I Excel, therefore I rock Use Power Map to discover the power of predictive marketing. Combine your formulas to get things done. Use plugins that go beyond basic Excel functions.
  • 5. Want to follow along? Go to this URL and download the file: http://aka.ms/ISIMPLYEXCEL
  • 7. The answer: It’s an Excel function that allows you to format things. Conditionally. The question: What is conditional formatting?
  • 8. The real answer: Conditional formatting is a function that allows you to automatically change the format of a cell based on values and parameters that you dictate.
  • 9. What can it change? Text color and format. Cell colors. Bar graph overlays. Inserting graphics.
  • 10. Where do I find it? Here.
  • 11. What are our options? Highlight cells according to values you set.
  • 12. What are our options? Highlight cells according to predefined rules.
  • 13. What are our options? Layer data bars over your spreadsheet.
  • 14. What are our options? Layer color gradients over your spreadsheet.
  • 15. What are our options? Insert icon sets in-line with your data.
  • 16. Create a dayparting heat map Create an account report from the Report Center, making sure that the unit of time is Hour of Day. Download the report to Excel. Make the unit of time Hour of Day.
  • 17. Create a dayparting heat map To use conditional formatting properly, you must highlight each column individually- otherwise the scale is thrown off…
  • 18. Create a dayparting heat map Like this. Instead, if we highlight each column individually and apply the appropriate color scale…
  • 19. Create a dayparting heat map We see a more accurate picture of account performance by time of day, visualized in heat map form.
  • 20. Create a dayparting heat map And adding gradient bars to your quantitative metrics provides even more insight. So, what should we do here?
  • 21. What else can it do?
  • 22. What else can it do?
  • 23. Did you notice this? Those last two heat maps had something in common:
  • 24. Did you notice this? They both came from Pivot Tables.
  • 25. Meet your new best friend, the Pivot Table.
  • 26. A hypothetical situation Let’s say you need to pull the following report: Reporting Needs Keyword Performance Report 6-Month performance broken out by: • Month • Match type • Devices • Conversions
  • 27. Typical interface reports • Too much data • Same metrics repeated • Hard to simplify The takeaway: this report isn’t actionable.
  • 28. Enter the Pivot Table A pivot table is a program tool that allows you to aggregate and compare data from selected columns and rows. You can manipulate to obtain a desired report.
  • 29. In English, please? It’s a reporting tool you can do a bunch of crazy stuff with. It’s awesome.
  • 30. How awesome, you ask? • Raw output • No actionable or obvious insights • Requires adjustments and filters to use as a report • Summarizes data in easy- to-digest formats • Quickly compares subsets of data • Reveals patterns and relations in the data • Allows for fast analysis
  • 31. Consider our problem Rows Values Columns Filters What am I trying to measure? How am I measuring it? How is it broken out? Anything to focus on specifically? Which keywords get the most clicks broken out by match type on computers?
  • 32. In visual form, please? Which keywords get the most clicks broken out by match type on computers? These four elements… Build and define a PivotTable
  • 33. Steps to performing a perfect pivot: 1. Determine what the table should display. 2. Select all the data you want to pivot. 3. Navigate to ‘Insert’ > Pivot Table. 4. Choose the location for your table and create it. 5. Drag and drop Field List elements in to place.
  • 34. 1. Determine what the table displays FILTER COLUMNS (Empty) (Empty) ROWS VALUES Keyword Clicks Which keywords get the most clicks? ROWS VALUES
  • 35. 1. Determine what the table displays FILTER COLUMNS (Empty) Match type ROWS VALUES Keyword Clicks COLUMNS ROWS VALUES Which keywords get the most clicks broken out by match type?
  • 36. 1. Determine what the table displays FILTER COLUMNS Device Match type ROWS VALUES Keyword Clicks Which keywords get the most clicks broken out by match type on computers? FILTER COLUMNS ROWS VALUES
  • 37. 2. Select your data Tip: Grab all the data. You never know which fields you might want to incorporate.
  • 38. 3. Navigate to ‘Insert’>Pivot Table This will prompt you to choose a location for the new table.
  • 39. 4. Choose table location and create Typically it’s best to create a new worksheet for this table. Hint:
  • 40. 5. Drag & drop Field List elements These fields are physically moved into the proper quadrant. FILTERS Device COLUMNS Match type ROWS Keyword VALUES Clicks
  • 41. Putting it into practice Which keywords get the most clicks broken out by match type on computers?
  • 42. Seems pretty basic, right? Fine. Then I'll show you my very favorite application for Pivot Tables. Normalized Quality Score.
  • 43. What’s the big deal about that? The problem with a normal pivot table looking at Quality Score is that it uses averages. Averages lie.
  • 44. Not your average liar We have five keywords in an Ad Group. KEYWORD QUALITY SCORE Keyword 1 10 Keyword 2 10 Keyword 3 3 Keyword 4 10 Keyword 5 10
  • 45. Not your average liar Technically, this Ad Group has an average Quality Score of 8.6… KEYWORD QUALITY SCORE Keyword 1 10 Keyword 2 10 Keyword 3 3 Keyword 4 10 Keyword 5 10
  • 46. Not your average liar But clearly there’s a problem here, right? KEYWORD QUALITY SCORE Keyword 1 10 Keyword 2 10 Keyword 3 3 Keyword 4 10 Keyword 5 10
  • 47. Not your average liar Especially if we have a situation like this. KEYWORD QUALITY SCORE IMPRESSIONS Keyword 1 10 100 Keyword 2 10 2,225 Keyword 3 3 10,432 Keyword 4 10 5 Keyword 5 10 62
  • 48. Okay, we see your point Luckily, we can tweak our Pivot Table to identify this issue in our account. We just need to add some columns to our data sheet, use a calculated field, and then sort/filter the result.
  • 50. Normalized Quality Score Download a keyword report from the Report center. Make sure it includes Spend, Impressions, and Quality Score. Make the date range Last 30 Days.
  • 51. Pivot Table Protip #1 Your Excel spreadsheet was not carved in stone. You can change it, or add to it. It’s okay!
  • 52. Normalized Quality Score Add a column to the end and title it QS*Impressions. For each keyword, you’ll multiply your Impressions by your Quality Score.
  • 53. Then Pivot Table it. (Pivot Table Protip #2: CTRL + Shift + arrow keys make selecting Pivot Table data way easier.)
  • 54. Normalized Quality Score Put your Ad Groups in the Row field. Put Average of Quality Score, Sum of Impressions, and Sum of Spend in the Values field.
  • 55. Pivot Table Protip #3 Use calculated fields when you’re working with aggregate derived metrics in a Pivot Table. Or for when you want to calculate something very interesting.
  • 56. Normalized Quality Score Insert a calculated field in to your Pivot Table. You can find it under “Fields, Items & Sets” in the Pivot Table Tools “Analyze” tab.
  • 57. Normalized Quality Score For your calculated field, name it Normalized Quality Score. For the formula, make it: ‘QS*Impressions’ Impressions
  • 58. Why does this work? Because we’re looking at this at the Ad Group level, not just the keyword level. By weighting for Impressions, we’re able to quickly identify Ad Groups that have poor Quality Score keywords driving all the traffic.
  • 59. Remember this? This ad group has an average QS of 8.6. KEYWORD QUALITY SCORE IMPRESSIONS Keyword 1 10 100 Keyword 2 10 2,225 Keyword 3 3 10,432 Keyword 4 10 5 Keyword 5 10 62
  • 60. Remember this? Weighted for Impressions, it’s at a 4.3. KEYWORD QS IMPRESSIONS QS*Impr Keyword 1 10 100 1,000 Keyword 2 10 2,225 22,250 Keyword 3 3 10,432 31,296 Keyword 4 10 5 50 Keyword 5 10 62 620
  • 61. Normalized Quality Score Now you can analyze your ad groups by their true Quality Score, and quickly determine where you should break out your keywords.
  • 62. Pivot Table Protip #4 You can actually sort and filter a Pivot Table by more than just the Row values. How? Use Sort & Filter on the cell right next to the top row in your Pivot Table.
  • 64. Look for the following A Normalized Quality Score of 4 or below. Sort descending by Spend. A large difference between Average QS and Normalized QS.
  • 65. Satisfied? I hope so. Because otherwise I’ll come back and talk for another hour about how to Pivot Table 100,000 lines of Salesforce lead data with monthly campaign performance reports.
  • 66. How to turbocharge the Bing Ads Interface with Excel.
  • 68. Campaign planner Check performance data Identify search traffic trends View insights by vertical, product or keywords Plan campaigns with better insights. Monitor marketplace changes across your industry. Discover new campaign, ad group, and keyword ideas.
  • 69. Campaign planner View performance and traffic data. Get vertical and product insights. Gain competitive insights by keyword & industry. Pin and save favorite terms and verticals for later use.
  • 70. Trends by keyword and over time View keyword/vertical trends and performance data over time by looking at the Summary tab.
  • 71. Competitive breakdown Build a competitive view of the marketplace before you even start advertising by using the Competition tab.
  • 72.
  • 73. Even more campaign planning
  • 74. Even more campaign planning
  • 75. Even more campaign planning
  • 77. Even more campaign planning
  • 78. Even more campaign planning
  • 80. Bing Ads Auction Insights Gain actionable insights about your competition See how your ads compare to other advertisers. Monitor the competition over time. Discover opportunities by using 5 key metrics.
  • 81. 5 key Auction Insights metrics 1. Impression share • Of the available impressions out there, how many did you get? 2. Average position • Where did your ad show up on the results page? 3. Overlap rate • How often did you compete against other advertisers?
  • 82. 5 key Auction Insights metrics 4. Position above rate • How often did other advertisers show up above you? 5. Top of page rate • How often did either you or your competitors show up in mainline positions?
  • 83. Chart your competitive landscape Troubleshoot and compare your account versus your competition.
  • 84.
  • 85.
  • 86.
  • 87.
  • 88.
  • 90.
  • 91.
  • 92. Use the power of predictive marketing with Power Map.
  • 93.
  • 94.
  • 95.
  • 96.
  • 97.
  • 98.
  • 99.
  • 100.
  • 102. $74.9B Second highest spending period, behind winter holidays.
  • 104. When does the first day of school really start? July 29th, 2015 All 180,000 of Hawaii’s K-12 Public School students went back to school.
  • 105. When does the first day of school really start? August 24th, 2015 All 5,000,000 of Texas’s K-12 Public School students went back to school.
  • 106. When does the first day of school really start? September 8th, 2015 Chicago public schools had 400,000 students go back in the classroom.
  • 107. When does the first day of school really start? September 9th, 2015 New York City, the largest school district in the United States, had 1,000,000 students back in school.
  • 108. What does this look like in Excel? California Wisconsin
  • 109. What does this look like in Excel? Number of students going back to school by 1st day Wisconsin
  • 111.
  • 112. Example action plan Tools Power Map, Power BI, Tableau Ad Copy Back to School Bids Incremental bids by geo during peaks Structure Separate for major school districts: TX, NYC, LA
  • 113.
  • 114. Combine Excel formulas like a mad scientist.
  • 115. Using Excel PPC formulas Excel is an incredibly versatile tool, and almost every formula can have unique PPC applications. Formulas like…
  • 116. Using Excel PPC formulas =IF For making conditional if/then statements, like: “If my conversions are greater than 1, then increase my bid by 10%, otherwise make it 5%.”
  • 117.
  • 118. Using Excel PPC formulas =IF You can also make use of nested if/then statements for more power, like: “IF my conversions are greater than 1, AND it’s below position 3, AND it’s exact, THEN…”
  • 119.
  • 120. !
  • 121. Using new Excel PPC formulas =IFS Use IFS if you’re not comfortable with multiple IF statements in a row. Like IF you want to increase bids 10% for multiple conversions, but only 5% for poor average position.
  • 122.
  • 123. =LEN For counting the number of characters used in a cell… Like for your ad copy, in this case. Using Excel PPC formulas
  • 124.
  • 125. =CORREL (or PEARSON) Analyzes the positive or negative correlation in a data set. Use CORREL to determine how fluctuating campaign spend is impacting your overall business. Using Excel PPC formulas
  • 126. =STDEV Provides the standard deviation (variance) in a data set. Useful in comparing your bids vs. the competition. Using Excel PPC formulas
  • 127. =LINEST Calculates the statistics for a line by using the "least squares" method. You can use this to project future performance based on past metrics. Using Excel PPC formulas
  • 128. =CONCATENATE For combining the contents of one cell with another… Using Excel PPC formulas
  • 129.
  • 130. =CONCATENATE For combining the contents of one cell with another… or combining the contents of that cell with any text string contained in quotation marks. Using Excel PPC formulas
  • 131.
  • 132. !
  • 133. =TEXTJOIN A more powerful form of CONCATENATE. Allows you to automatically add delimiters, ignore empty cells, and join arrays of cells together. Using new Excel PPC formulas
  • 134.
  • 135. =SUBSTITUTE For substituting one character for another - also useful for creating modified broad match keywords. Using Excel PPC formulas
  • 136.
  • 137. While each individual formula is useful on its own, by combining them in nested formulas you can achieve more, faster. For instance… Combining Excel PPC formulas
  • 138. You can combine CONCATENATE and SUBSTITUTE.
  • 139. And you can also combine IF, CONCATENATE, and SUBSTITUTE.
  • 140. The problem Let’s say you need to generate 349,372 keyword-level destination URLs. They have unique location, ad group, and product Identifiers. Do you think you could do that manually?
  • 142. VLOOKUP = Vertical LOOKUP If you need to cross-reference a lot of data, this is how you do it. Note: Or, you know, use INDEX MATCH too. What’s that?
  • 143. VLOOKUP: =VLOOKUP(LOOKUP_VALUE,TABLE_ARRAY,COL_INDEX_NUM,[RANGE LOOKUP]) It looks a little intimidating, so we’ll break it down. The VLOOKUP formula
  • 145. VLOOKUP: =VLOOKUP(LOOKUP_VALUE,TABLE_ARRAY,COL_INDEX_NUM,[RANGE LOOKUP]) The array of cells you’re targeting for this search – it contains what you’re trying to look up, as well as any corresponding values. The VLOOKUP formula
  • 146. VLOOKUP: =VLOOKUP(LOOKUP_VALUE,TABLE_ARRAY,COL_INDEX_NUM,[RANGE LOOKUP]) The specific column you want to pull in on this search. The VLOOKUP formula
  • 147. CONCATENATE = Combines cells. If you need to combine multiple cells… (Hint: cells that you might have populated with VLOOKUP.) This is how you do it. A small reminder
  • 148. CONCATENATE: =CONCATENATE(TEXT1,TEXT2…) It can refer to both cells or strings of text. Easy enough, right? The CONCATENATE formula
  • 149. Combining Excel formulas Here, we have six ad groups with six different keywords, along with a need for six different destination URLs.
  • 150. Combining Excel formulas We’ve also prepared a master list of URLs to cross-reference with our ad groups.
  • 151. Combining Excel formulas We can cross- reference our ad groups with our Master List using VLOOKUP to get our URLs in to the new sheet…
  • 152. Combining Excel formulas Then use the SUBSTITUTE formula to prepare our campaign and keyword columns for use with our tracking tags…
  • 153. Combining Excel formulas And then CONCATENATE these cells together (in order) to create six unique destination URLs.
  • 154. Wait, I thought you said combining Don’t want to take five steps to accomplish one task? Do it in one formula.
  • 155. Combining Excel formulas You can also just CONCATENATE these formulas together, doing this entire process in one step rather than five. =CONCATENATE(VLOOKUP,”TEXT”,SUBSTITUTE,”TEXT”,SUBSTITUTE)
  • 156. Time out. This sounds awfully complicated. Have you ever actually used this?
  • 157. In a word… That says 18,388 by the way. YES
  • 158. Doing the math 18,388 keyword URLs 8 provinces 18,388 keyword URLs 11 cities
  • 159. Doing the math 349,372 unique keyword URLs generated. In about a half hour. (Most of that was spent waiting for the formula to compute.)
  • 160. Doing the math All done through VLOOKUP, SUBSTITUTE, & CONCATENATE.
  • 161. Use plugins to go beyond vanilla Excel.
  • 163.
  • 164. Bing Ads Intelligence is a powerful keyword research tool Create bulksheets Easily build lists Get insights on traffic Get keyword suggestions
  • 165. Why is this so important?
  • 166. Direct line to Bing Ads performance data 1
  • 167. 2 Reduce needless overlap from Google campaigns
  • 169. 4 Refine your targeting scheme specific to segments that work
  • 170. 5 Get insights you can’t get from Google tools
  • 171. Bing Ads Intelligence makes keyword research easier
  • 172. Work with large keyword lists of up to 200,000 words
  • 173. Align with Bing Ads policies by filtering out adult/brand terms and duplicate keywords from your results
  • 174. Perform integrated research on keyword and bid estimates
  • 175. What’s the cost to advertisers? $
  • 176.
  • 178. Downloading and installing the tool Log in and navigation overview Research options BAI Output Getting started with Bing Ads Intelligence
  • 180. Specific keyword performance numbers, demographic information, positional analysis once keywords have been chosen Keyword research options and initial keyword relationships created here Bulksheet options for easy importing Log-in and navigation Sign-in details Ability to select specific accounts for further research
  • 181. Use your existing Bing Ads username or Microsoft account Sign in to your Bing Ads account.
  • 182. Keyword Suggestions: Generate a list of suggested keywords based on a term you’ve selected 1. Choose starter term 2. Select ‘Keyword Suggestions’ 3. Review results
  • 183. Demo
  • 184. Demo Use Keyword Suggestions to find more keywords with the power of filtering and sorting within Excel.
  • 185.
  • 186. Traffic numbers are available for researched terms for a range of dates and device types Keyword performance details offer insight into how particular terms ought to perform at different positions, for particular match types, across certain devices.
  • 187. Get relevant keywords based on a specific webpage Create a list of additional keywords to expand your list Generate a list of phrases containing your keyword Make a list of keywords other advertisers are bidding on Find search terms that are similar to your keywords
  • 188. Generate a list of business categories that apply to each keyword Find locations that had the most searches on specified keywords Age and gender percentages for keywords over the last 30 days Keyword bid estimates for mainline and sidebar positions
  • 189. Keyword research templates: Download templates to create charts and graphs of your research results
  • 190. Create bulksheet: Creates a .CSV file containing keywords suggested by Bing Ads Intelligence which you can then import into your Bing Ads account.
  • 191.
  • 192. Get keyword suggestions What keywords should I choose? How much should I bid? Who is searching for my keywords? Does search traffic vary by location?
  • 194.
  • 195.
  • 197.
  • 199.
  • 200. Bid Estimation will tell you how much it costs to get into certain positions Bid based on position analysis
  • 201.
  • 202. Demo Analyze bids by device and position with the Keyword Performance report.
  • 203.
  • 204. KEYWORD BID Target toward advantageous segments
  • 207. 18 - 24 25 - 34 35 – 49 50 - 64 65+ car dealerships
  • 209. Layer in device data with demographics 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Age18_24 Age25_34 Age35_49 Age50_64 Age65Plus Tablets Smart phones Desktops and laptops
  • 210. Find demographic insights on key terms with the Age & Gender report. Demo
  • 211.
  • 213.
  • 214. Utilize the Keyword Categories and Webpage Keywords tools to troubleshoot keywords with a low Quality Score. Demo
  • 215.
  • 216.
  • 217.
  • 218. Is there a way to use Excel to intelligently determine how to best spend our advertising budgets? Can we do this across multiple accounts? Another question
  • 219. Another answer Yes. (Just not with regular Excel.)
  • 221. What’s that? It’s another Excel plugin. It solves things.
  • 222. What does it solve? Equations like “what is my most efficient budget allocation to maximize conversion volume”. Specifically, it solves equations that you give it according to parameters that you set.
  • 223. Where do you find it? It’s not included by default, but you can find it by going to your Excel Options menu, and then going to Add-Ins.
  • 224. Where do you find it? Here.
  • 225. It’s right here in the Data tab.
  • 226. Excel Solver Once installed, you can do cool stuff like this:
  • 227. Excel solved budgets A mix of Bing and Google campaigns. Average daily spend across all campaigns. Optimal budget as found by Excel Solver.
  • 228. Excel solved budgets Download a campaign report from the Report center. Make sure it includes Avg. CPC, Cost, Conversions, and Conv. Rate. Make the date range Last 30 Days. Include Impression share lost to budget (%).
  • 229. Excel solved budgets You can also include the same metrics from other accounts for cross-account optimization. Just make sure your Impression share lost to budget metrics are all in the same column.
  • 230. Excel solved budgets Find your Average Daily Spend for each campaign. The formula in this case is: “Cost/30 Days”
  • 231. Excel solved budgets Then, find your Maximum Possible Daily Spend for each campaign. That formula is: = Average Daily Spend (1 – Lost Imp. Share)
  • 232. Excel solved budgets We’ve found several campaigns that are very limited by budget. We have an opportunity to grow here, but would it be profitable to do so?
  • 233. Excel solved budgets Enter Excel Solver. Add in three Solver columns: • Solved Budget • Solved Clicks • Solved Conversions
  • 234. How it works Solved Budget is left totally to Excel Solver, so leave it blank.
  • 235. How it works Solver will take our budgets, and using our campaign Average CPC, will find the new click total for each campaign. That will be your Solved Clicks column. = (Solved Budget / Average CPC)
  • 236. How it works Once you have Solved Clicks, you then use your Conversion Rate to find the new Conversion total for each campaign. That will be your Solved Conversions column. = (Solved Clicks * Conversion Rate)
  • 237.
  • 238. Where you say “give me as many conversions as possible.” Where you say “do this by changing my budget.” Where you say “but make sure my campaign can actually spend that.”
  • 239. Excel solved budgets Basically, we’ve told solver to give us as many conversions as possible. Solver fills in the budget field, which then populates your new click and conversion totals. The highlighted campaigns are getting paused.
  • 240. Excel solved budgets We can then use those new budget totals to effectively reallocate our spend across all our PPC campaigns based on our conversion metrics. While others are getting a budget boost.
  • 241. Using both Solver and LINEST, you can chart out the potential gains from increased spend, and even see the point of diminishing returns. Plus one more thing You’re not limited to calculating your existing budget, either.
  • 242.
  • 243. That projects to 36 more conversions a month. That’s a 17.6% increase with no change except budgets. The takeaway Just by reallocating our budget, we can gain 1.2 more conversions per day.
  • 244. Wouldn’t you? The takeaway I’ll take that any day.
  • 245. You Excel, therefore you rock Conditional formatting makes your data easy to read. Use Pivot Tables to get insights you can’t find any other way. Make the most of features like the Campaign Planner and Auction Insights with Excel.
  • 246. You Excel, therefore you rock Gain awesome insights with Power Map to predict your marketing future. Combine VLOOKUP with other formulas to get things done. Use plug-ins like Bing Ads Intelligence and Solver to go beyond basic Excel functions.
  • 248. © 2016 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted as a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. Microsoft MAKES NO WARRANTIES–EXPRESS, IMPLIED, OR STATUTORY– REGARDING THEI NFORMATION IN THIS PRESENTATION.