2. @MarkIrvine89 #pubcon
Meet Mark Irvine
• Data Scientist at Wordstream in
Boston, MA
• Researches industry trends in PPC
• Been working Paid Search for 3 Years
• Before PPC Life, worked with NESN,
ESPN, & CBS Sports
@MarkIrvine89
3. @MarkIrvine89 #pubcon
The MLB was dominated by teams with
big pockets – who focused strongly on
buying players around a small set of
metrics.
The Oakland Athletics GM, Billy Beane,
found himself with a small budget, a
gutted team, and a radical idea.
Moneyball – Baseball in 2001
4. @MarkIrvine89 #pubcon
A Focus on New Metrics
Last Season’s Stats Recruit A Recruit B Recruit C
Age 22 25 31
HR 8 8 4
RBI 18 21 12
BA .313 .291 .222
On Base % .312 .321 .431
3 imaginary recruits
The focus of most MLB
General Managers
The focus of the
Oakland office
5. @MarkIrvine89 #pubcon
The 2002
Oakland A’s
won as many
games as the
New York
Yankees – with
only a third
their budget
Oakland A’s take 20 game winning streak
7. @MarkIrvine89 #pubcon
New Media Playing With Old Metrics
Metric Shopping Specific Product
Keywords
Broader
“Top of the Funnel”
Keywords
Click Volume 3,293 5,598 8,905
CTR 1.56% 2.96% 1.02%
CPA $92 $101 $233
Conversion Rate 1.86% 3.05% 0.65%
Conversions 61 170 58
Case study SMB
Account:
Initial Reaction:
Pause /pull back campaign!
8. @MarkIrvine89 #pubcon
Campaigns Provide Value Beyond CPA
This campaign
produced a lot of
traffic – but
rarely ever
converted.
100
120
140
160
180
200
220
240
260
2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 10,000
ConversionsFromAllOtherCampaigns
Clicks in Poor Campaign
Original Performance
Original Performance
9. @MarkIrvine89 #pubcon
Campaigns Provide Value Beyond CPA
Without making
major changes to
any other
campaign, we
saw conversions
from other
campaigns begin
to fall off as a
result.100
120
140
160
180
200
220
240
260
2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 10,000
ConversionsFromAllOtherCampaigns
Clicks in Poor Campaign
So We Pulled Back on the Campaign
Original Performance
Pulling Back on Poor
Performing Campaign
10. @MarkIrvine89 #pubcon
Campaigns Provide Value Beyond CPA
In this case, not only did reducing this “poor converting”
campaign reduce direct conversions. It also:
• Reduced the search interest in other campaigns by
10%.
• Reduced the conversion rate in other search campaigns
by 26%.
• Reduced the conversion rate of all website traffic by
12%.
• Total online sales suffered an 18% drop.
15. @MarkIrvine89 #pubcon
Attribution Hat Trick
Today’s 3 Goals:
1. Discover Full Funnel Insight with
Conversion Paths
2. Choosing the Right Attribution Model
3. Attributing Online Action to Offline
Marketing
17. @MarkIrvine89 #pubcon
Different Campaigns Need to Play Different Positions
Some assist.
They create new
opportunities
with new
audiences and
bring them
closer to your
goal.
Some convert.
They work with
your core audience
and bring them
directly to your
goal.
18. @MarkIrvine89 #pubcon
We Need To Use Smarter Metrics
Conversion paths available on the Campaign, Ad Group, Keyword,
& Search Query levels!
19. @MarkIrvine89 #pubcon
Different Campaigns Need to Play Different Positions
These are your
assisted
conversions.
They create new
opportunities
with new
audiences and
bring them
closer to your
goal.
These are your
direct
conversions
(last click).
They work with
your core audience
and bring them
directly to your
goal.
22. @MarkIrvine89 #pubcon
Not All Assists Are Worth The Same
Individual assists worth
LESS
Individual assists
worth MORE
23. @MarkIrvine89 #pubcon
Not All Assists Are Worth The Same
Individual assists worth
LESS
Individual assists
worth MORE
Products or services with
a short buying cycle
or low profit margins on advertising.
Products or services with
a long buying cycle
or high profit margins on advertising.
24. @MarkIrvine89 #pubcon
Google Attribution Models
Model First Click Value Middle Clicks Value Last Click Value
Last Interaction
(Default for Google Analytics)
0% 0% 100%
Last Non-Direct Click 0% 100% (All on the last
non-direct click)
0% (If Direct)
Last AdWords Click
(Default for AdWords)
0% 100% (All on the last
AdWords click)
0% (If not AdWords)
First Interaction 100% 0% 0%
Linear Equal Equal Equal
Time Decay Least More Most
Position Based 40% 20% (Split Evenly) 40%
Data Driven
(Available within GA Premium
– soon to be rolled out further)
Based on source Based on source Based on source
25. @MarkIrvine89 #pubcon
Position Based
Position based modeling heavily values the first and last
clicks
Ideal when your campaigns are designed to educate about
your product.
Great for when you’re trying to create a demand for your
niche.
26. @MarkIrvine89 #pubcon
Time Decay
Time Decay modeling heavily values the most recent
clicks.
Ideal when your campaigns are designed to differentiate
yourself from competitors.
Great if you have several campaigns targeting the same
users while they’re evaluating their potential purchase.
32. @MarkIrvine89 #pubcon
We’re Looking At Multiple Screens – At the Same Time!
Source: “The New Multi-
Screen World Study”,
Think With Google, 2012
Mobile users are
3x more likely
to respond to a
commercial
33. @MarkIrvine89 #pubcon
Recap
1. Use Conversion Paths & Assisted
Conversion metrics to fully value your
campaigns.
2. Find an Attribution Model that aligns with
your marketing goals
3. Value other channels for their contribution
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