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Lukasz Zelezny
linkedin.com/in/seomanagerlondon

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

1
Working in online marketing is always exciting.
However, there is a lot more to it than just
proper and accurate reporting. Numbers on
their own are meaningless without the right
context attached to them. My aim is to come up
with some new approaches to online marketing
that I believe will deliver significant results in a
relatively short space of time.

It is about

•
•
•
•
•
•
•
•
•
•
•

effective metrics
where the concept came from
why and when to measure year to year
how to avoid sampling data difficulties in Google
Analytics
manual data comparison instead of built in
functions
visual representation
why Pearson's corrleation?
living in Not Provided era
visual representation of correlation
meausrement techniques
software and platforms that helps

22-23/11/2013

Lukasz Zelezny Head of Organic
Acquisition
Head of Organic Acquisition in uSwitch.com
Previously responsible for organic traffic performance in
Home Away, Thomson Reuters, The Digital Property Group
and Fleetway Travel.

@LukaszZelezny
MarketingFestival.cz

2
“Pearson’s Correlation
between traffic and positions”

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

3
Pearson Correlation

Pearson’s Correlation is a measure of
the linear correlation (dependence)
between two variables X and Y, giving
a value between +1 and −1 inclusive,
where 1 is total positive correlation, 0
is no correlation, and −1 is negative
correlation.
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

4
Pearson Correlation

What keywords to consider?
1. with decent search volume
2. without noticeable search volume
changes

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

5
Example Keyword 1

CORREL=(-0.89)
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

6
Example Keyword 1

Pearson Correlation -0.89 – traffic correlated with ranks
Frequently for Generic Keywords
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

7
Example Keyword 2

CORREL=(0.31)
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

8
Example Keyword 2

Pearson Correlation 0.31 – traffic correlated with ranks
Frequently for Non-Generic Keywords
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

9
Pearson Correlation

Where to get traffic per keyword breakdown ?
Use Bing!
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

10
Pearson Correlation

Final Comparison of 10 example keywords.

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

11
Pearson’s Correlation
conclusions
What you need:
- SERP (Bing) Position for specific keyword measured daily
- Daily Visits generated by specific keyword
- CORREL closer or equal (-1) refer to better keyword quality
Pearson’s Correlation between Positions and Traffic:
- Helps to utilize better mid tail opportunities;
- Makes you step ahead competitors;
- Improves Effective Traffic;

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

12
Advanced Metrics

“Effective Visits”
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

13
Effective Visits

Predictable Vertical
Winter

Cheap holidays

Spring
Summer
Autumn

Cold

Winter tyre

Warm

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

14
Effective Visits
Tyre – Predictable Vertical over years

Winter Tyre

2010

22-23/11/2013

2011

@LukaszZelezny
MarketingFestival.cz

2012

15
Effective Visits
Holidays – Predictable Vertical over years

Cheap holidays

2010

22-23/11/2013

2011

@LukaszZelezny
MarketingFestival.cz

2012

16
Effective Visits
Mobile Handsets – Non-Predictable Vertical over years

iPhone

2010

22-23/11/2013

2011

@LukaszZelezny
MarketingFestival.cz

2012

17
Effective Visits

Predictable Vertical

Where does the concept came from?

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

18
Effective Visits

Predictable Vertical

The Fear of Bounce Rate
BOUNCE
RATE

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

19
Effective Visits
Pulling Data
Week #19 of 2012 (06-12 May 2012)

Week #19 of 2013 (05-11 May 2013)

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

20
Effective Visits
Pulling Data

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

21
13,410

9,674

Week #19 in 2012

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

Week #19 in 2013
Week #19 in 2012

22
13,410

9,674

Week #19 in 2012

2013
Week #19 in 2013
Week #19 in 2012

Effective Visits = Visits – (Visits * BounceRate)
%difference = (((Week_30_Visits_2013 / Week_30_Visits_2012) – 1) * 100)
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

23
Effective Visits
Build Custom Segment using Google Analytics

Effective Visits = Visits – (Visits * BounceRate)
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

24
Effective Visits
Organic Visits - Year to Year Data

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

25
Effective Visits
Effective Visits - Year to Year Data

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

26
Effective Visits
conclusions
Why to use Effective Visits:
-

represents a real quality of traffic and its value;
reflects to On Page optimization;
reflects to Conversion Rate Optimization (CRO);
helps senior management to understand better SEO benefits

How to use Effective Visits:
- explain how it works;
- setup clear goals;
- be brave and enjoy;

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

27
Effective Visits

Predictable Vertical

The Happiness of Effective Visits
EFFECTIVE
VISITS

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

28
TOOLS

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

29
Keyword Research & Intelligence

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

30
Backlink Research

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

31
Traffic Tracking & Data Extraction

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

32
OnPage Optimization

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

33
Reporting

22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

34
Thank you!


Download Excel files
http://www.HeadOfSeo.co.uk
22-23/11/2013

@LukaszZelezny
MarketingFestival.cz

35

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Marketing Festival in Brno (Czech Republic) - Lukasz Zelezny

Editor's Notes

  1. Hello world
  2. Hello world
  3. Hello world
  4. Hello world
  5. Hello world
  6. Hello world
  7. Hello world
  8. Hello world
  9. Hello world
  10. Hello world
  11. Hello world
  12. Do you have dedicated profile ? No?Do you want to select non-paid traffic for whole website ?Do you want to select non-paid traffic for specific part of website ?Do no compare long distance periods if sampling or if you don’t have Google Analytics Pro
  13. Hello world
  14. Lost of vertical have different monthly traffic characteristicIts wrong to report moth to month or week to week
  15. However reporting MoM make sense during Q1 and Q2 then reporting on WoW or MoM doesn’t make sense in Q3 and Q4
  16. Lots of frustrations in Q3 and half of Q4 will come
  17. Lots of frustrations in Q3 and half of Q4 will come
  18. Lost of vertical have different monthly traffic characteristicIts wrong to report moth to month or week to week
  19. Lost of vertical have different monthly traffic characteristicIts wrong to report moth to month or week to week
  20. Present Visits and BounceRate
  21. Do you have dedicated profile ? No?Do you want to select non-paid traffic for whole website ?Do you want to select non-paid traffic for specific part of website ?Do no compare long periods away from each other (distance) if sampling is a problem and large amount of reports use Google Analytics Pro
  22. Do you have dedicated profile ? No?Do you want to select non-paid traffic for whole website ?Do you want to select non-paid traffic for specific part of website ?Do no compare long distace periods if sampling or if you don’t have Google Analytics Pro
  23. Do you have dedicated profile ? No?Do you want to select non-paid traffic for whole website ?Do you want to select non-paid traffic for specific part of website ?Do no compare long distace periods if sampling or if you don’t have Google Analytics Pro
  24. Lots of frustrations in Q3 and half of Q4 will come
  25. Lots of frustrations in Q3 and half of Q4 will come
  26. Lots of frustrations in Q3 and half of Q4 will come
  27. Do you have dedicated profile ? No?Do you want to select non-paid traffic for whole website ?Do you want to select non-paid traffic for specific part of website ?Do no compare long distace periods if sampling or if you don’t have Google Analytics Pro
  28. Lost of vertical have different monthly traffic characteristicIts wrong to report moth to month or week to week