+ All Categories
Home > Data & Analytics > Google analytics

Google analytics

Date post: 13-Feb-2017
Category:
Upload: ritu-sarkar
View: 50 times
Download: 0 times
Share this document with a friend
15
Demystifying Google Analytics for My blog (Analytics-TheEasyWay) Observations Causes and Recommendations
Transcript
Page 1: Google analytics

Demystifying Google Analytics for My blog (Analytics-TheEasyWay)

ObservationsCauses and Recommendations

Page 2: Google analytics

Website under consideration

• Name : Analytics - The easy way• Type - Blog• URL - http://analytics-theeasyway.blogspot.in• Created on – 24th Dec 2015• Line of action – 1st Post : 24th Dec 2015– 2nd Post : 08th Jan 2015

• Promotion– Shared link on college WhatsApp group– Shared link on Twitter and Facebook

Page 3: Google analytics

Audience & Behavior

• As per the numbers above– No of Session ~ 2 times No of UsersWhich means, there are good volume of repeat readers– % New Sessions - 54.47%Which indicates that the assumption made above is very much true– Bounce Rate is 82%Which means, almost everyone is leaving, hence we are reaching the wrong people or bots– Pages/Session is 1.61Since I have only 2 articles, with the given bounce rate Page/Session values indicates that those not bouncing off do navigate to almost all the pages in the blog– Avg. Session Duration 2:49But the average time spent for most of the user would be < 1 min, as the bounce rate is so high. So the average time spent by non-bouncers would be much higher than 2:49mins, which is indicative that non-bouncers do read the blog.

Page 4: Google analytics

• Audience are coming in from all parts of the world• But analyzing the other measures, we can see only audience from Russia, United

States, India and China are probably true audiences while others may be bots.

Locations

Page 5: Google analytics

• Almost 90% of the sessions use Chrome or Firefox or Safari.• Almost the same volume of sessions took place on desktop, suggesting that most

sessions have taken place with Desktop+Chrome combination.The data is almost aligned to the present condition of the browser industry.

Browser & Device

Page 6: Google analytics

• Most session take place on desktop and with Chrome Browser

• Most safari users are mobile users• Users of Firefox spend most time on the blog• Chrome mobile users spend more time than desktop

users

Page 7: Google analytics

• People on mobile have the least bounce rate and the highest pages/sessionsSuggesting that people reached on mobile devices are more interested in the content• People on table have 100% bounce rate.• Desktop users, using Firefox or IE have the least bounce rate.• The overall picture suggests that the Desktop + Chrome combination has lot of junk

(bot data)

Page 8: Google analytics

Behavior – New vs Returning

• New and returning visitors are creating almost same numbers of sessions.• So which can mean, the new users and old users are also almost same in numberBut this can be distorted data, because of the presence of so much of junk referrals.

Page 9: Google analytics

Frequency – No of Sessions

• We can see the share of new sessions (Count of session = 1) and returning session (Count of Sessions >1)

• The higher side (Count of sessions >50) can be from the testing activities

Page 10: Google analytics

Recency – When was the last session

Page 11: Google analytics

Cohort Analysis – User Retention

• User retention is weak– Possible cause : Low quality content, Wrong Reach.

Page 12: Google analytics

Acquisitions

• Maximum traffic is coming from referrals, but the quality of traffic is very poor.The bounce rate is more than double compared to any other medium. The pages per session also show the low quality.• Social and Direct are giving low volume of traffic but the quality of traffic is

comparatively much betterThe bounce rates and pages session have much better figues.

Page 13: Google analytics

Referrals

• As expected, most referrals are bot and they are just distorting the data for the blog.

• This can destroy the whole analytics and if decisions are made without removing them from the equation, then most decisions will have inverse effects.

Page 14: Google analytics

Social

• As links have been shared on Facebook and Twitter, traffic is flowing from these websites.

• Traffic from blogger can be my own blog hits which I might have done for testing the blog or previewing a post. And the very good numbers for all the paramters suggests these.

• But the quality of traffic from Facebook and Twitter is also low. Their bounce rate is very high.

Page 15: Google analytics

Recommendation• Promote blog on social media. (Facebook Twitter)• Increase post publishing frequency• Develop filters based on the bad referrals to clear out the data• Get your URL shared by influencers or large accounts like Jigsaw Academy.


Recommended