Predicting impact of
SEO
Wil Reynolds
Associate
@wilreynolds
@wilreynolds
Makes sense
3
@wilreynolds
Keyword Volume (x)
Click Through Rate (x)
Conversion Rate (x)
Conversion Value
ROI
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@wilreynolds
Keyword Volume + Cost
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Multiplied By
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Click Through Rate
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Multiplied By
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Conversion Rate
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Multiplied By
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Conversion Value
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@wilreynolds
33,000 Searches (x)
1.04 CTR @ #10
343.2 Visitors
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@wilreynolds
343.2 Visitors (x)
.18% conv. rate (x)
.62 Conversions
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@wilreynolds
.62 Conversions/mo
(x) 12 months
7.5 Conversions @
$150k = $1,125,000
@wilreynolds
You Us
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@wilreynolds
Easy, right?
@wilreynolds
Problem, predicting
search volume and CTR is
impossible
@wilreynolds
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@wilreynolds
#1 – Search Volume
@wilreynolds
Impacted by News
Fall out of Favor
Change in how we search
Google gets Smarter
Google Changes Behavior
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News
@wilreynolds
Fall out of Favor
@wilreynolds
Fall out of Favor
@wilreynolds
Change in how we search
@wilreynolds
Google Gets Smarter
@wilreynolds
Google Changes Behavior
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@wilreynolds
#2 – Click Through Rate
@wilreynolds
Carousel
Google’s Comparison Ads
Mobile Changes
PPC + SEO impacts CTR
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Carousel
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@wilreynolds
PPC Ad + SEO = More SEO traffic
@wilreynolds
PPC Ad + SEO = More SEO traffic
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@wilreynolds
“SEO CTR rises by 416% (brand)
& rises by 125% (non-brand)
When a PPC ad is also on the SERP”
-SEER Study 2013
@wilreynolds
Tale of 2 searches
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@wilreynolds
Search #1
“SEO Company”
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@wilreynolds
7 – Philly
2 – National
1 – Review
0 - Atlanta
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@wilreynolds
Search #2
First search
“Things to do in Atlanta”
Second search
“SEO Company”
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@wilreynolds
Impact
CTR?
@wilreynolds
Amazon, Trusted + Prime
@wilreynolds
Get more branded search?
Probably get more rankings
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@wilreynolds
Cut that TV campaign,
rankings might slide…
@wilreynolds
Mobile Search changes
1 – How we search
2 – What we see (vs Desktop)
@wilreynolds
@wilreynolds
Impact
On
CTR?
(Call + Map)
@wilreynolds
@wilreynolds
How confident are you NOW?
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@wilreynolds
• Is the Map showing? & is it mobile vs desktop?
• Is mobile growing more than desktop for that KW?
• Is your PPC ad showing?
• Is a Click to Call Ad showing on mobile?
• Is that person in your circles?
• Have they searched for a different city before?
• Ranking is lower if site is improperly configured?
• Did you get the person to visit from a “how much to save” query,
which increased your rank later for certain people but not others?
• Is your brand trusted in SERP, like Amazon/Zappos?
• Have they been to your site before?
• Are branded competitors moving up?
• Is Google launching a test?
• Where is the person located, was location detection accurate?
• Is PPC showing for your brand, how many other ads?
@wilreynolds
Each of those questions
impacts CTR, increasing
complexity, decreasing
confidence in CTR models.
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@wilreynolds
Predicting CTR w/ any
degree of confidence is
impossible
making predicting impact
reckless
@wilreynolds
I can give you a number,
I’ll have 5%-30% confidence in it
90% of the time
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@wilreynolds
Have you ever been @ a store
and did a search to compare
price?
Then go to another store?
Or Buy online?
@wilreynolds
Online Leads to Offline
@wilreynolds
Build content high in the funnel
Probably get more conversions
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@wilreynolds
If we can get content on
getting a checking account
at 16, then we have a higher
chance to rank when that
16 year old does a search
for “checking account”.
@wilreynolds
@wilreynolds
“If we can be there at every step
of the customer journey, they’ll
know our brand, we’ll get higher
CTR, and we’ll rank higher…”
@wilreynolds
I propose we look to get better…
EVERY month, than we were last
month (rankings, traffic, conv.)
Theory + Implement + Analyze
Tweak, Improve, Measure, Win.

25+ Reasons why predicting CTR from Rankings is Impossible