SlideShare a Scribd company logo
Turning
PPC Auction Insights
Into
ACTIONABLE
DATA
Maddie Cary, Director of Paid Search | Point It Digital Marketing
 Director of Paid Search at Point It
 Based in Seattle, WA
 US Search Award winner: Best PPC Agency
 Lead awesome + talented paid search dept
 Small to enterprise
 Across verticals
Maddie!
@MaddieMarketer | @point_it | #MNSearch
Let’s walk through
a scenario…
@MaddieMarketer | @point_it | #MNSearch
Jim gets an email from his boss
Hi Jim!
I did some searches for our keywords and saw
quite a few competitors alongside our ads
What does our competitive landscape
look like in PPC?
Are we missing opportunities?
How has our performance been impacted by
our competitors?
@MaddieMarketer | @point_it | #MNSearch
Jim’s reaction
SO EASY
I’ll just pull an Auction Insights Report
from AdWords & send a screenshot
DONE!
@MaddieMarketer | @point_it | #MNSearch
The boss’ reaction?
Uh, Jim…
WTF
does this table tell me?
@MaddieMarketer | @point_it | #MNSearch
Oh, she doesn’t understand the metrics!
Impression Share
How often a competitor received an impression
as a proportion of auctions in which you were in
Overlap Rate
How often a competitor received an impr when you did
Position Above Rate
How often a competitor was shown above you
Top of Page Rate
How often a competitor was shown at the
top of page
Outranking Share
How often you outranked a competitor
@MaddieMarketer | @point_it | #MNSearch
Not quite
Get it together, Jim
I know what the metrics mean.
I need your help to understand the
TRENDS,
OPPORTUNITIES,
& STORY
@MaddieMarketer | @point_it | #MNSearch
Stop looking at competitor data like this
@MaddieMarketer | @point_it | #MNSearch
Or like this!
@MaddieMarketer | @point_it | #MNSearch
RAW
AUCTION
DATA
VISUAL
TRENDS
ACTIONABLE
INSIGHTS
@MaddieMarketer | @point_it | #MNSearch
Jim knows what he has to do…
I need to go
Olivia Newton-John
on this thang
@MaddieMarketer | @point_it | #MNSearch
LET’S
GET
VISUAL,
VISUAL
@MaddieMarketer | @point_it | #MNSearch
How competitive are the auctions you’re in?
 PIVOT
To get Avg Impr Share &
Avg CPC per competitor
 =COUNTIF
To count number of times
competitor shows up in the
auction over your given time
period
TOOLS & FORMULASDATA NEEDED
 SEGMENTED BY
TIME (Month, Quarter)
AUCTION
INSIGHTS REPORT
CAMPAIGN
REPORT
@MaddieMarketer | @point_it | #MNSearch
Quarter Avg Impr Share Number of Competitors
Q1 2015 86% 8
Q2 2015 84% 8
Q3 2015 85% 7
Q4 2015 93% 4
Q1 2016 87% 8
Capitalized on opportunity to grow
impression share when fewer
competitors in auction
@MaddieMarketer | @point_it | #MNSearch
Quarter Avg CPC Number of Competitors
Q1 2015 $4.89 8
Q2 2015 $3.42 8
Q3 2015 $3.12 7
Q4 2015 $2.10 4
Q1 2016 $3.54 8
Lower CPCs during quarter with fewer
competitors + maintained lower costs
when auction returned to 8
@MaddieMarketer | @point_it | #MNSearch
CRUSHED
IT
@MaddieMarketer | @point_it | #MNSearch
Which competitors are consistently in auction?
 LONGER TIME RANGE
Last 30 – 90 Days
AUCTION
INSIGHTS REPORT
 SEGMENTED BY
TIME (Days)
 =COUNTIF
To count number of days competitors
showed in auction over X total days
 =AVERAGEIF
To get Avg Impr Share per competitor
over X total days
 =IF(AND(
 Conditional logic to define your
parameters for when data indicates
competitor is a bigger threat
@MaddieMarketer | @point_it | #MNSearch
TOOLS & FORMULASDATA NEEDED
FORMULASDay Display url domain Impr. share Avg. position Overlap rate Position above rateTop of page rateOutranking share
1/1/2016 Competitor 1 83.87% 1 83.87% 0.00% 96.15% 100.00%
1/2/2016 Competitor 1 47.37% 2.2 49.54% 0.00% 64.81% 95.61%
1/3/2016 Competitor 2 50.66% 2.2 52.38% 1.30% 74.03% 96.05%
1/4/2016 Competitor 2 51.59% 2.2 53.74% 1.27% 59.26% 92.99%
1/5/2016 Competitor 2 44.03% 2.2 44.16% 0.00% 70.00% 96.86%
1/6/2016 Competitor 2 39.31% 2.6 39.58% 0.00% 70.18% 99.31%
1/7/2016 Competitor 3 44.44% 2.2 44.44% 0.00% 75.00% 100.00%
1/8/2016 Competitor 3 37.58% 2.3 37.58% 0.00% 66.07% 100.00%
1/9/2016 Competitor 3 43.75% 2.1 43.75% 0.00% 61.22% 100.00%
1/11/2016 Competitor 3 52.74% 2.1 53.10% 0.00% 70.13% 99.32%
1/12/2016 Competitor 3 48.65% 2.7 49.51% 0.00% 55.65% 86.97%
1/13/2016 Competitor 3 51.41% 2.7 52.49% 0.00% 55.26% 85.79%
Days In
Auction
=COUNTIF
(range,criteria)
Competitor
Frequency
= (Days In Auction/
Report Range)
Report Range
= 90 days
@MaddieMarketer | @point_it | #MNSearch
=IF(AND
Comp Frequency > 50% AND
Avg Imp Share > 25%
IF TRUE = “Take Action”
IF FALSE = “Monitor”
Competitor URL Days In Auction Competitor Frequency Average Impr Share Threat?
You 90 100% 89% -
Competitor 1 90 100% 34% Take Action
Competitor 2 84 93% 16% Monitor
Competitor 3 5 6% 16% Monitor
Competitor 4 5 6% 14% Monitor
Competitor 5 56 62% 13% Monitor
Conditional Formatting Conditional Logic Formula
@MaddieMarketer | @point_it | #MNSearch
LET ME
HEAR THAT
DATA TALK
@MaddieMarketer | @point_it | #MNSearch
Where are you most competitive (and not)?
 PIVOT
To get Avg Impr Share &
Avg Pos per campaign
 PULL BY CAMPAIGN
then consolidated together
AUCTION
INSIGHTS REPORT
@MaddieMarketer | @point_it | #MNSearch
TOOLS & FORMULASDATA NEEDED
Campaign Avg Impr Share Avg Pos
Branded 95% 1.1
Shoes 83% 3.4
Pants 80% 2.6
Shirts 68% 4.3
Socks 54% 5.5
Belts 47% 6.7
Scarves 36% 5.4
Could be worth bid testing
in campaigns with lower
Avg Impr Share & higher Avg Positions
@MaddieMarketer | @point_it | #MNSearch
CAN’T HANDLE
THIS
PPC MUSCLE
@MaddieMarketer | @point_it | #MNSearch
Where are you missing opportunity?
 PIVOT
To get Avg Impr Share
trends by device & time
 SEGMENTED BY
DEVICE & TIME
AUCTION
INSIGHTS REPORT
@MaddieMarketer | @point_it | #MNSearch
TOOLS & FORMULASDATA NEEDED
Competitor Computers Mobile Tablet
You 100% 98% 100%
Competitor 1 31% 49% 24%
Competitor 2 16% 12%
Competitor 3 14% 16%
Competitor 4 10% 16%
Competitor 5 12% 14% 11%
TOTAL 36% 55% 44%
Some of your competitors aren’t
bidding on mobile, which
may mean Impr Share
opportunity for you!
@MaddieMarketer | @point_it | #MNSearch
AUCTION GOT
NOTHIN’
ON ME
@MaddieMarketer | @point_it | #MNSearch
How can you go from REACTIVE to PROACTIVE?
AUCTION
INSIGHTS REPORT
 SEGMENTED BY
TIME
CAMPAIGN REPORT
AUCTION INSIGHT SCRIPT
3rd PARTY MONITORING
TOOLS
@MaddieMarketer | @point_it | #MNSearch
TOOLS & FORMULASDATA NEEDED
 Copy/paste BrainLabs script into Google Sheet
 Pull segmented Campaign report
 Pull segmented Auction Insight report
 Generates competitor charts alongside your trending CPC data
@MaddieMarketer | @point_it | #MNSearch
LET’S GET THIS
(3rd) PARTY
STARTED
@MaddieMarketer | @point_it | #MNSearch
 Research US + INTL markets
 PLA vs. Paid Search trends
 Domain vs. Domain
 Desktop vs. Mobile ad copy
 Great for SEO, too!
3rd Party Tools NOTE: I was not paid by any of these tools
@MaddieMarketer | @point_it | #MNSearch
 Google vs. Bing ad copy
 First & last seen dates of ads
 Ad URLs with tracking params
3rd Party Tools NOTE: I was not paid by any of these tools
@MaddieMarketer | @point_it | #MNSearch
 Color-coded ad change grids
 Highlighted top performing ads
 Keyword Venn diagrams
 Segments top competitors
(paid & organic)
3rd Party Tools NOTE: I was not paid by any of these tools
@MaddieMarketer | @point_it | #MNSearch
Don’t let your PPC competitors
drive you crazy
GO O.N.J ON THIS THANG!
Use visual graphs, tables, &
3rd party tools to
• IDENTIFY TRENDS
• FIND OPPORTUNITIES
• TELL THE STORY
@MaddieMarketer | @point_it | #MNSearch
THANK YOU!
TWITTER:
@MaddieMarketer
FREE EXCEL TEMPLATE:
bit.ly/lets-get-visual-visualMaddie!
@MaddieMarketer | @point_it | #MNSearch

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Maddie Cary - MNSearch Summit 2017 - Turning PPC Auction Insights Into Actionable Data

  • 1. Turning PPC Auction Insights Into ACTIONABLE DATA Maddie Cary, Director of Paid Search | Point It Digital Marketing
  • 2.  Director of Paid Search at Point It  Based in Seattle, WA  US Search Award winner: Best PPC Agency  Lead awesome + talented paid search dept  Small to enterprise  Across verticals Maddie! @MaddieMarketer | @point_it | #MNSearch
  • 3. Let’s walk through a scenario… @MaddieMarketer | @point_it | #MNSearch
  • 4. Jim gets an email from his boss Hi Jim! I did some searches for our keywords and saw quite a few competitors alongside our ads What does our competitive landscape look like in PPC? Are we missing opportunities? How has our performance been impacted by our competitors? @MaddieMarketer | @point_it | #MNSearch
  • 5. Jim’s reaction SO EASY I’ll just pull an Auction Insights Report from AdWords & send a screenshot DONE! @MaddieMarketer | @point_it | #MNSearch
  • 6. The boss’ reaction? Uh, Jim… WTF does this table tell me? @MaddieMarketer | @point_it | #MNSearch
  • 7. Oh, she doesn’t understand the metrics! Impression Share How often a competitor received an impression as a proportion of auctions in which you were in Overlap Rate How often a competitor received an impr when you did Position Above Rate How often a competitor was shown above you Top of Page Rate How often a competitor was shown at the top of page Outranking Share How often you outranked a competitor @MaddieMarketer | @point_it | #MNSearch
  • 8. Not quite Get it together, Jim I know what the metrics mean. I need your help to understand the TRENDS, OPPORTUNITIES, & STORY @MaddieMarketer | @point_it | #MNSearch
  • 9. Stop looking at competitor data like this @MaddieMarketer | @point_it | #MNSearch
  • 10. Or like this! @MaddieMarketer | @point_it | #MNSearch
  • 12. Jim knows what he has to do… I need to go Olivia Newton-John on this thang @MaddieMarketer | @point_it | #MNSearch
  • 14. How competitive are the auctions you’re in?  PIVOT To get Avg Impr Share & Avg CPC per competitor  =COUNTIF To count number of times competitor shows up in the auction over your given time period TOOLS & FORMULASDATA NEEDED  SEGMENTED BY TIME (Month, Quarter) AUCTION INSIGHTS REPORT CAMPAIGN REPORT @MaddieMarketer | @point_it | #MNSearch
  • 15. Quarter Avg Impr Share Number of Competitors Q1 2015 86% 8 Q2 2015 84% 8 Q3 2015 85% 7 Q4 2015 93% 4 Q1 2016 87% 8 Capitalized on opportunity to grow impression share when fewer competitors in auction @MaddieMarketer | @point_it | #MNSearch
  • 16. Quarter Avg CPC Number of Competitors Q1 2015 $4.89 8 Q2 2015 $3.42 8 Q3 2015 $3.12 7 Q4 2015 $2.10 4 Q1 2016 $3.54 8 Lower CPCs during quarter with fewer competitors + maintained lower costs when auction returned to 8 @MaddieMarketer | @point_it | #MNSearch
  • 18. Which competitors are consistently in auction?  LONGER TIME RANGE Last 30 – 90 Days AUCTION INSIGHTS REPORT  SEGMENTED BY TIME (Days)  =COUNTIF To count number of days competitors showed in auction over X total days  =AVERAGEIF To get Avg Impr Share per competitor over X total days  =IF(AND(  Conditional logic to define your parameters for when data indicates competitor is a bigger threat @MaddieMarketer | @point_it | #MNSearch TOOLS & FORMULASDATA NEEDED
  • 19. FORMULASDay Display url domain Impr. share Avg. position Overlap rate Position above rateTop of page rateOutranking share 1/1/2016 Competitor 1 83.87% 1 83.87% 0.00% 96.15% 100.00% 1/2/2016 Competitor 1 47.37% 2.2 49.54% 0.00% 64.81% 95.61% 1/3/2016 Competitor 2 50.66% 2.2 52.38% 1.30% 74.03% 96.05% 1/4/2016 Competitor 2 51.59% 2.2 53.74% 1.27% 59.26% 92.99% 1/5/2016 Competitor 2 44.03% 2.2 44.16% 0.00% 70.00% 96.86% 1/6/2016 Competitor 2 39.31% 2.6 39.58% 0.00% 70.18% 99.31% 1/7/2016 Competitor 3 44.44% 2.2 44.44% 0.00% 75.00% 100.00% 1/8/2016 Competitor 3 37.58% 2.3 37.58% 0.00% 66.07% 100.00% 1/9/2016 Competitor 3 43.75% 2.1 43.75% 0.00% 61.22% 100.00% 1/11/2016 Competitor 3 52.74% 2.1 53.10% 0.00% 70.13% 99.32% 1/12/2016 Competitor 3 48.65% 2.7 49.51% 0.00% 55.65% 86.97% 1/13/2016 Competitor 3 51.41% 2.7 52.49% 0.00% 55.26% 85.79% Days In Auction =COUNTIF (range,criteria) Competitor Frequency = (Days In Auction/ Report Range) Report Range = 90 days @MaddieMarketer | @point_it | #MNSearch
  • 20. =IF(AND Comp Frequency > 50% AND Avg Imp Share > 25% IF TRUE = “Take Action” IF FALSE = “Monitor” Competitor URL Days In Auction Competitor Frequency Average Impr Share Threat? You 90 100% 89% - Competitor 1 90 100% 34% Take Action Competitor 2 84 93% 16% Monitor Competitor 3 5 6% 16% Monitor Competitor 4 5 6% 14% Monitor Competitor 5 56 62% 13% Monitor Conditional Formatting Conditional Logic Formula @MaddieMarketer | @point_it | #MNSearch
  • 21. LET ME HEAR THAT DATA TALK @MaddieMarketer | @point_it | #MNSearch
  • 22. Where are you most competitive (and not)?  PIVOT To get Avg Impr Share & Avg Pos per campaign  PULL BY CAMPAIGN then consolidated together AUCTION INSIGHTS REPORT @MaddieMarketer | @point_it | #MNSearch TOOLS & FORMULASDATA NEEDED
  • 23. Campaign Avg Impr Share Avg Pos Branded 95% 1.1 Shoes 83% 3.4 Pants 80% 2.6 Shirts 68% 4.3 Socks 54% 5.5 Belts 47% 6.7 Scarves 36% 5.4 Could be worth bid testing in campaigns with lower Avg Impr Share & higher Avg Positions @MaddieMarketer | @point_it | #MNSearch
  • 25. Where are you missing opportunity?  PIVOT To get Avg Impr Share trends by device & time  SEGMENTED BY DEVICE & TIME AUCTION INSIGHTS REPORT @MaddieMarketer | @point_it | #MNSearch TOOLS & FORMULASDATA NEEDED
  • 26. Competitor Computers Mobile Tablet You 100% 98% 100% Competitor 1 31% 49% 24% Competitor 2 16% 12% Competitor 3 14% 16% Competitor 4 10% 16% Competitor 5 12% 14% 11% TOTAL 36% 55% 44% Some of your competitors aren’t bidding on mobile, which may mean Impr Share opportunity for you! @MaddieMarketer | @point_it | #MNSearch
  • 28. How can you go from REACTIVE to PROACTIVE? AUCTION INSIGHTS REPORT  SEGMENTED BY TIME CAMPAIGN REPORT AUCTION INSIGHT SCRIPT 3rd PARTY MONITORING TOOLS @MaddieMarketer | @point_it | #MNSearch TOOLS & FORMULASDATA NEEDED
  • 29.  Copy/paste BrainLabs script into Google Sheet  Pull segmented Campaign report  Pull segmented Auction Insight report  Generates competitor charts alongside your trending CPC data @MaddieMarketer | @point_it | #MNSearch
  • 30. LET’S GET THIS (3rd) PARTY STARTED @MaddieMarketer | @point_it | #MNSearch
  • 31.  Research US + INTL markets  PLA vs. Paid Search trends  Domain vs. Domain  Desktop vs. Mobile ad copy  Great for SEO, too! 3rd Party Tools NOTE: I was not paid by any of these tools @MaddieMarketer | @point_it | #MNSearch
  • 32.  Google vs. Bing ad copy  First & last seen dates of ads  Ad URLs with tracking params 3rd Party Tools NOTE: I was not paid by any of these tools @MaddieMarketer | @point_it | #MNSearch
  • 33.  Color-coded ad change grids  Highlighted top performing ads  Keyword Venn diagrams  Segments top competitors (paid & organic) 3rd Party Tools NOTE: I was not paid by any of these tools @MaddieMarketer | @point_it | #MNSearch
  • 34. Don’t let your PPC competitors drive you crazy GO O.N.J ON THIS THANG! Use visual graphs, tables, & 3rd party tools to • IDENTIFY TRENDS • FIND OPPORTUNITIES • TELL THE STORY @MaddieMarketer | @point_it | #MNSearch
  • 35. THANK YOU! TWITTER: @MaddieMarketer FREE EXCEL TEMPLATE: bit.ly/lets-get-visual-visualMaddie! @MaddieMarketer | @point_it | #MNSearch

Editor's Notes

  1. There are so many things I could cover here, so I’m going to focus on some of the really cool bidding options that Google has built out over the last year or two – and that’s AdWords’ Flexible Bidding Strategies. These are automated, algorithmic bidding settings found in the Shared Library – and you should be testing them. There’s some things you can’t do – like the splits Beyonce is doing in HEELS HERE. But you CAN test these. Whether your goal is traffic volume, CPA, ROI, or just driving more conversions. There’s options for everyone! Kind of like how there’s at least one Beyonce song that everyone likes. Don’t even try to fight me on that, you KNOW it’s true.
  2. There are so many things I could cover here, so I’m going to focus on some of the really cool bidding options that Google has built out over the last year or two – and that’s AdWords’ Flexible Bidding Strategies. These are automated, algorithmic bidding settings found in the Shared Library – and you should be testing them. There’s some things you can’t do – like the splits Beyonce is doing in HEELS HERE. But you CAN test these. Whether your goal is traffic volume, CPA, ROI, or just driving more conversions. There’s options for everyone! Kind of like how there’s at least one Beyonce song that everyone likes. Don’t even try to fight me on that, you KNOW it’s true.
  3. There are so many things I could cover here, so I’m going to focus on some of the really cool bidding options that Google has built out over the last year or two – and that’s AdWords’ Flexible Bidding Strategies. These are automated, algorithmic bidding settings found in the Shared Library – and you should be testing them. There’s some things you can’t do – like the splits Beyonce is doing in HEELS HERE. But you CAN test these. Whether your goal is traffic volume, CPA, ROI, or just driving more conversions. There’s options for everyone! Kind of like how there’s at least one Beyonce song that everyone likes. Don’t even try to fight me on that, you KNOW it’s true.