This is my talk on getting to grips with how you can use web analytics to support SEO analysis & performance.
It is aimed at people who want to understand the role of web analytics for SEO and learn some tips & techniques to help their analysis.
Contents:
* Setting goals, objectives & KPIs
* Benchmarking performance
* Evaluating keyphrase performance
* Evaluating external links
* Evaluating assisted conversions
* Interpreting data
* Key takeaways
* Useful resources
This is part of Dave Chaffey's Smart Insights Digital Marketing Summit 2013, recorded on Friday 11th January at 12.00 (UK time).
Thanks James
Owner, Digital Juggler
The What, Why and How of (Web) Analytics Testing (Web, IoT, Big Data)
SEO Analysis - Using Web Analytics to Support SEO
1. Tips for using analytics to support SEO
James Gurd
Owner
Digital Juggler
This talk will discuss key ways to use web analytics techniques & tools to
help you evaluate and improve your SEO performance.
Digital Marketing Priorities 2013 Summit
11th January 2013. Brought to you by:
2. Agenda
Setting goals, objectives & KPIs
Benchmarking your data
Evaluating keyphrase performance
Evaluating impact of external links
Evaluating assisted conversions
Interpreting your data
Key take-aways
Useful resources
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3. About me
>14 years’ e-commerce experience
B2B/B2C, Client-side, Agency, Consultant
Owner of Digital Juggler since 2009
Work with brands like House of Fraser,
Argos, Sweaty Betty, Smythson, The Watch
Gallery…
Guest blogger for Smart Insights &
Econsultancy
Author of industry best practice guides on E-
commerce RFP, B2B Content Marketing,
SEO, Landing Page Optimisation etc
Co-host of #ecomchat on Twitter (Mondays)
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4. Setting goals, objectives & KPIs
Give yourself clear targets
Goal – broad target
e.g. Increase brand awareness
Objective – concrete & measurable
e.g. Increase number of visitors using social
sharing buttons by 100% within 2 months
KPI – measurement target
Volume / Value / Quality
Volume Value Quality
Total visits Average order Bounce rate
value
Total newsletter Per Visit Value Conversion rate
sign-ups (basket-to-order)
Image from trendhunter.com
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5. Benchmarking your data
Why do you need to do this?
No clear focus = Poor decision making
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6. 1. Free web analytics package e.g.
Google Analytics.
Quick Poll 2. Paid web analytics package e.g.
Webtrends / Omniture etc.
Which tools do 3. Proprietary analytics package inc
you use to log files.
benchmark 4. SEO specialist software e.g.
Majestic SEO / SEOMoz / Raven
SEO data? Tools.
5. Other / None of the above
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7. 10 Steps to benchmarking data
Step 1 – agree your KPIs
Step 2 – map which tools contain data for each KPI
Step 3 – Identify gaps & plug them
Step 4 – define reporting requirements
Step 5 – export historical data (ideally last 12 months)
Step 6 – create KPI dashboard
Step 7 – create helpful visuals (charts/graphs) for trends
Step 8 – sense check data: valid?
Step 9 – define data update schedule
Step 10 – start collating new data!
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12. Evaluating keyphrase performance
The obvious The overlooked - context
Ranking Top landing pages
Impressions Relevance to landing page
Visits Share of market (% of total
Click through rate searches)
Transactions Revenue potential based on
increased market share
Revenue
Seasonality
Average order value
Market trends
Per Visit Value
New vs. Return customers
Use keyword research tools like
Further reading from Smart Insights: Google Keyword & Google Trends
http://bit.ly/UD1FYQ
http://bit.ly/Woi95f
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18. Evaluating external links
You need a full picture – rank /
traffic / value / impact
Links aren’t just about keyword
rank
Links also:
Drive traffic.
Support customer acquisition &
retention.
Increase brand awareness.
Generate revenue. What type of link
Provide competitive positioning. works best for your
Further reading from Smart Insights: website?
http://bit.ly/13dTG8D
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19. 1. Specialist SEO software e.g.
Majestic SEO / SEOMoz.
Quick Poll 2. Free web analytics package e.g.
Google Analytics.
Which tools do 3. Paid web analytics package e.g.
you use for Webtrends / Omniture etc.
external link 4. Proprietary analytics package.
5. Other / None of the above.
analysis?
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20. Example: Open Site Explorer
1
Compare link
portfolio against
competitors
2
Profile links based
on link source
authority (impact)
3
Identify linking
pages and anchor
text
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21. Top tip for link analysis
Add campaign tracking codes
to each link so you can use
analytics reports to evaluate
the impact.
Useful tool:
Google Analytics URL builder.
http://bit.ly/RCa1kU
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22. 1. Yes – all the time
2. Occasionally
Quick Poll 3. No
Do you use 4. I don’t know!
campaign
tracking codes
to support SEO
analysis?
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23. Evaluating assisted conversions
Which keywords/phrases are giving
your conversions a helping hand?
A visit from a matched search query
doesn’t guarantee a conversion.
Buying cycles can be multi-stage.
There are often time lags between
first interaction and final sale.
Last click analysis misses the bigger
picture.
How do you calculate the ‘real’
impact of an organic keyphrase?
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26. Interpreting your data
Is your data trend positive, negative or neutral?
Think about visitor intent:
What keyphrase has driven them here?
What would they be expecting?
What are the logical next steps to take?
Are these steps being taken?
A decline in performance can have multiple causes:
Internal – website conversion issues / poor campaign targeting
External – industry decline / search engine algorithm update
Combine multiple data source to validate assumptions:
Web analytics data – the ‘what’
Voice-of-customer – the ‘why’
Industry / Aggregate data
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27. 1. Yes
2. No
Quick Poll 3. Maybe – it depends on the context
Is a high 4. I don’t know!
bounce rate for
a keyphrase a
bad sign?
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28. Example: bounce rate
A high bounce rate can be positive or negative
Positive Negative
Local search goes to local store Organic listing for product keyphrase
landing page goes direct to product details page
Please note HoF webpages used only to illustrate the point, not as case studies as data on these pages unknown
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31. Key take-aways
Planning puts you in control
Understand what you want to measure & why
before you start doing anything
Make sure you benchmark data to give you
something to compare future performance
against
Get your analysis toolkit set-up
Do analysis regularly – be proactive as well
as reactive
Learn to interpret data using context
Stay in touch with industry news &
developments – SEO is fast moving
Image from phys.org
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32. Useful resources
Smart Insights Other industry resources
James Gurd’s SEO article series (12 SEOMoz blog
parts): http://www.seomoz.org/blog
http://www.smartinsights.com/author/ Search Engine Land:
james-gurd/
http://searchengineland.com/library/s
Guide - 7 Steps to Successful SEO: eo
http://www.smartinsights.com/guides/ Google Webmaster Central blog:
seo-7-steps-to-success-guide/
http://googlewebmastercentral.blogs
pot.co.uk
History of algorithm updates:
http://www.seomoz.org/google-
algorithm-change
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33. Thank you for joining in
Your questions please
Please ask questions and
rate this webcast
For more Answers to your
Digital Marketing
Questions use our free
community
Best wishes for 2013!
http://www.smartinsights.com/answers
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34. THANK YOU!
For more information:
E: james@digitaljuggler.com
M: +44 (0) 7794 539 399
W: digitaljuggler.com
T: @jamesgurd
Keep an eye out for #ecomchat – weekly industry
ecommerce chat – new topic every week
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