Your SlideShare is downloading. ×
0
Advanced Metrics
“Effective Visits”
Lukasz Zelezny
linkedin.com/in/seomanagerlondon
24/07/2013 @LukaszZelezny #SeoBarCamp 1
Effective Visits
24/07/2013 @LukaszZelezny #SeoBarCamp 2
Winter
Spring
Summer
Autumn
Winter tyre
Rest of the year
Winter
C...
Effective Visits
24/07/2013 @LukaszZelezny #SeoBarCamp 3
2011 20122010
Winter Tyre
Effective Visits
24/07/2013 @LukaszZelezny #SeoBarCamp 4
2011 20122010
Cheap holidays
Effective Visits
24/07/2013 @LukaszZelezny #SeoBarCamp 5
Effective Visits
24/07/2013 @LukaszZelezny #SeoBarCamp 6
www.analyticscanvas.com
Effective Visits
24/07/2013 @LukaszZelezny #SeoBarCamp 7
Week #19 of 2013 (05-11 July 2013)
Week #19 of 2012 (05-11 May 20...
Week #19 in 2012 Week #19 in 2012
24/07/2013 @LukaszZelezny #SeoBarCamp 8
13,410
9,674
Effective Visits = Visits – (Visits...
Week #19 in 2012 Week #19 in 2012
24/07/2013 @LukaszZelezny #SeoBarCamp 9
Week #19 in 2012 Week #19 in 2013
13,410
9,674
E...
Effective Visits
conclusions
24/07/2013 @LukaszZelezny #SeoBarCamp 10
Why to use Effective Visits
Effective Visits:
- repr...
Advanced Metrics
“Pearson’s Correlation
bewteen traffic and positions”
Lukasz Zelezny
linkedin.com/in/seomanagerlondon
24/...
Pearson Correlation
24/07/2013 @LukaszZelezny #SeoBarCamp 12
Pearson Correlation – example keyword 1
24/07/2013 @LukaszZelezny #SeoBarCamp 13
Pearson Correlation -0.89 – traffic corre...
Pearson Correlation
24/07/2013 @LukaszZelezny #SeoBarCamp 14
Pearson Correlation – example keyword 2
24/07/2013 @LukaszZelezny #SeoBarCamp 15
Pearson Correlation 0.25 – traffic NOT co...
Pearson Correlation – example keyword 3
24/07/2013 @LukaszZelezny #SeoBarCamp 16
Pearson Correlation -0.72 – traffic corre...
Pearson’s Correlation
conclusions
24/07/2013 @LukaszZelezny #SeoBarCamp 17
What you need:
- SERP Position for specific key...
24/07/2013 @LukaszZelezny 18
Thank you!
Upcoming SlideShare
Loading in...5
×

Lukasz Zelezny #SEOBarCamp July 2013

1,651

Published on

Lukasz Zelezny #SEOBarCamp July 2013

Effective Visits concept
Pearson's Correlation

Published in: Technology, Business
0 Comments
4 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
1,651
On Slideshare
0
From Embeds
0
Number of Embeds
8
Actions
Shares
0
Downloads
6
Comments
0
Likes
4
Embeds 0
No embeds

No notes for slide
  • Hello world
  • Lost of vertical have different monthly traffic characteristicIts wrong to report moth to month or week to week
  • However reporting MoM make sense during Q1 and Q2 then reporting on WoW or MoM doesn’t make sense in Q3 and Q4
  • Lots of frustrations in Q3 and half of Q4 will come
  • 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 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
  • Present Visits and BounceRate
  • 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
  • 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
  • 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
  • Hello world
  • 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
  • Proper generic keyword
  • Brand keyword of competitor
  • 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
  • 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
  • Transcript of "Lukasz Zelezny #SEOBarCamp July 2013"

    1. 1. Advanced Metrics “Effective Visits” Lukasz Zelezny linkedin.com/in/seomanagerlondon 24/07/2013 @LukaszZelezny #SeoBarCamp 1
    2. 2. Effective Visits 24/07/2013 @LukaszZelezny #SeoBarCamp 2 Winter Spring Summer Autumn Winter tyre Rest of the year Winter Cheap holidays
    3. 3. Effective Visits 24/07/2013 @LukaszZelezny #SeoBarCamp 3 2011 20122010 Winter Tyre
    4. 4. Effective Visits 24/07/2013 @LukaszZelezny #SeoBarCamp 4 2011 20122010 Cheap holidays
    5. 5. Effective Visits 24/07/2013 @LukaszZelezny #SeoBarCamp 5
    6. 6. Effective Visits 24/07/2013 @LukaszZelezny #SeoBarCamp 6 www.analyticscanvas.com
    7. 7. Effective Visits 24/07/2013 @LukaszZelezny #SeoBarCamp 7 Week #19 of 2013 (05-11 July 2013) Week #19 of 2012 (05-11 May 2012)
    8. 8. Week #19 in 2012 Week #19 in 2012 24/07/2013 @LukaszZelezny #SeoBarCamp 8 13,410 9,674 Effective Visits = Visits – (Visits * BounceRate) %difference = (((Week_30_Visits_2013 / Week_30_Visits_2012) – 1) * 100) Week #19 in 2013
    9. 9. Week #19 in 2012 Week #19 in 2012 24/07/2013 @LukaszZelezny #SeoBarCamp 9 Week #19 in 2012 Week #19 in 2013 13,410 9,674 Effective Visits = Visits – (Visits * BounceRate) %difference = (((Week_30_Visits_2013 / Week_30_Visits_2012) – 1) * 100) Week #19 in 2013
    10. 10. Effective Visits conclusions 24/07/2013 @LukaszZelezny #SeoBarCamp 10 Why to use Effective Visits Effective Visits: - represents a real quality traffic and its value; - reflects to OnPage optimization; - reflects to Conversion Rate Optimization (CRO); - helps vertical leaders to understand SEO benefits and achievements
    11. 11. Advanced Metrics “Pearson’s Correlation bewteen traffic and positions” Lukasz Zelezny linkedin.com/in/seomanagerlondon 24/07/2013 @LukaszZelezny #SeoBarCamp 11
    12. 12. Pearson Correlation 24/07/2013 @LukaszZelezny #SeoBarCamp 12
    13. 13. Pearson Correlation – example keyword 1 24/07/2013 @LukaszZelezny #SeoBarCamp 13 Pearson Correlation -0.89 – traffic correlated with ranks CORREL = -0.89
    14. 14. Pearson Correlation 24/07/2013 @LukaszZelezny #SeoBarCamp 14
    15. 15. Pearson Correlation – example keyword 2 24/07/2013 @LukaszZelezny #SeoBarCamp 15 Pearson Correlation 0.25 – traffic NOT correlated with ranks CORREL = 0.25
    16. 16. Pearson Correlation – example keyword 3 24/07/2013 @LukaszZelezny #SeoBarCamp 16 Pearson Correlation -0.72 – traffic correlated with ranks CORREL = -0.72
    17. 17. Pearson’s Correlation conclusions 24/07/2013 @LukaszZelezny #SeoBarCamp 17 What you need: - SERP 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 long tail opportunities; - Makes you step ahead competitors; - Improves Effective Traffic;
    18. 18. 24/07/2013 @LukaszZelezny 18 Thank you!
    1. A particular slide catching your eye?

      Clipping is a handy way to collect important slides you want to go back to later.

    ×