#advSEOtool

7/29/2019 #advSEOtool

1/10

#advSEOtool#advSEOtool

Date: 03/27/2013

Analysis of the session '#advSEOtool' created with Tweet Category


2/10

Session #advSEOtool

Introduction: Analysis of the #advSEOtool event celebranted in Bolonia.

Statistics

Potential impact

Potential reach

Categories

Category Total

tweets

% Original

Tweets

RT Users

Marco Quadrella 268 31 152 116 42

Others 132 15 61 71 49

Andrea Pernici 114 13 63 51 31

Replies 111 13 111 0 23

Links 76 9 23 53 28

Pictures 59 7 29 30 24

Positive 54 6 31 23 31

Giorgio Tave 39 5 32 7 20

Rest of categories 5 1 5 0 5

Charts

num.

tweets

time

5

07:3027 mar

12

08:59

102

10:28

255

11:57

101

13:27

39

14:56

203

16:25

89

17:54

51

19:23

num.

users

num.

followers

13

0-50

15

50-100

11

100-150

11

150-200

8

200-250

7

250-300

7

300-400

2

400-500

3

500-750

5

750-1000

8

1000-1500

9

1500-5000

0

5000-10000

1

>10000

num.

tweets

per user

num. users

451

122

73

44

55

27>5

Most Active Users

tweets

followers

tweets

followers

tweets

followers

tweets

followers

tweets

followers

tweets

followers

tweets

followers



3/10

Marco Quadrella

Replies

Marco Quadrella

Replies

Others

Marco Quadrella

Marco Quadrella

Replies

Marco Quadrella

Others

Charts

Category Total

tweets

% Original

Tweets

RT Users Impressions Potential Reach Tweets/

User

Followers/

User

Marco Quadrella 268 31 152 116 42 319.044 38.301 6,4 911Others 132 15 61 71 49 152.214 38.588 2,7 787

Andrea Pernici 114 13 63 51 31 152.695 32.377 3,7 1.044

Replies 111 13 111 0 23 234.567 30.921 4,8 1.344

Links 76 9 23 53 28 163.969 33.614 2,7 1.200

Pictures 59 7 29 30 24 70.483 25.156 2,5 1.048

Positive 54 6 31 23 31 33.845 26.148 1,7 843

Giorgio Tave 39 5 32 7 20 92.355 23.586 2,0 1.179

Checkins 5 1 5 0 5 1.700 1.700 1,0 340



4/10

12,5 8,6 12.209

SpaceChimpWeb

152tweets

ComeStilVuole

114tweets

laseomante

58tweets

tweets

tweets

giorgiotave

13.183followers

trancedesigner

3.820followers

andreapernici

3.023followers

followers

followers

giorgiotave

725.065impressions

andreapernici

129.989impressions

laseomante

61.248impressions

impressions

impressions

AnnaAnika

9num. categories

AngeloMarolla

8num. categories

ComeStilVuole

8num. categories

num. categories

num. categories

SpaceChimpWeb

80num. of RTs

ComeStilVuole

57num. of RTs

giorgiotave

26num. of RTs

num. of RTs

num. of RTs

SpaceChimpWeb

72original tweets

ComeStilVuole

57original tweets

laseomante

52original tweets

original tweets

original tweets

625

3

Very low

0 to 10

followers

10

Low

10 to 50

followers

37

Medium-low

50 to 200

followers

24

Medium

200 to 500

followers

8

Medium-high

500 to 1000

followers

17

High

1000 to 5000

followers

1

Very high

>5000

followers



5/10Analysis of the session '#advSEOtool' created with Tweet Category

@giorgiotaveGiorgio Taverniti

un ringraziamento a tutto lo Staff GT, questi eventi riescono solo se ci

sono persone che ci mettono l'anima :) @GTMasterClub #advSEOtool

Cat.: Positive @stellanto82Antonio Stellato

Interessante e istruttiva giornata a #advseotool!!!!

Cat.: Positive

@danielemercaDaniele

Grazie a #advSEOtool ho scoperto due tool molto interessanti e che

risolvono i problemi!!

Cat.: Positive @blaysworldPasquale Altamura

Un saluto a tutta la community GT dal vostro moderatore un po'

latitante! :) Buona giornata e buona formazione! #advSEOtool

Cat.: Positive

@ComeStilVuoleComeStilVuole

Ci crederesti che puoi divertirti con excel? Certo, e con il tool #seo per

#excel vedrai che gas che dai al tuo lavoro! #advSEOtool

Cat.: Marco Quadrella @giorgiotaveGiorgio Taverniti

#QuadroQuadretti sta spiegando come tracciare i link dei concorrenti,

quelli prendono e perdono :D #advSEOtool momenti di vero godimento

SEO

Cat.: Marco Quadrella

@laseomanteAnna Covone

Link Building oggi Link Earning, l'arte di farsi amare adattata alla

SEO: impariamola con #quadroquadretti #advSEOtool

Cat.: Marco Quadrella @Vanny_RossoVanny Rosso

#advseotool Quadrella un robot, confessate! :) #quadroquadretti

#bravissimo

Cat.: Marco Quadrella

@ComeStilVuoleComeStilVuole

La gerarchia dei contenuti deve essere rispettata nella struttura interna

del sito #sapevatelo #QuadroQuadretti #advSEOtool

Cat.: Marco Quadrella @elecipoEleonora Cipolletta

Oggi a #Bologna si parla #SEO http://t.co/PBA3n8rx4c con

@giorgiotave @andreapernici e Marco Quadrella #advSEOtool

Cat.: Links

@artera

Artera

Evento molto istruttivo #advSEOtool, grazie @giorgiotave!

Cat.: Giorgio Tave @SpaceChimpWeb

Space Chimp Design

@giorgiotave bravo e sintetico le doti di un bravo oratore anche se con

un programma di oltre 3 ore sembra una contraddizione #advSEOtool

Cat.: Giorgio Tave

@arteraArtera

@giorgiotave ha presentato l'evento #advSEOtool e adesso

#quadroquadretti inizia con il so intervento sul SEO on site

Cat.: Giorgio Tave @FrancescaLorFrancesca Lorenzoni

#advSEOtool (@ NH Bologna De La Gare - @nh_hoteles w/

@rosati_luca) http://t.co/h4QIjgTF1q

Cat.: Checkins

@AnnaAnikaAnna Magri

Bravo @andreapernici e il suo intervento sulla velocit #advseotool

Cat.: Andrea Pernici @GuglieCornelliGuglielmo Cornelli

Poveri programmatori ... non colpa dell' hosting, l' 80% dei problemie' lato client ;) @andreapernici #advSEOtool

Cat.: Andrea Pernici



@ViviMarketingViviMarketing

Nuova parola imparata: "minificare" grazie ad @andreapernici ad

#advSEOtool

Cat.: Andrea Pernici @laseomanteAnna Covone

Con un tool automatico puoi imparare nuove cose da fare

manualmente, magari meglio di come farebbe il tool!! #advSEOtool

@andreapernici


@andreacardinaliAndrea Cardinali

Intervento di @andreapernici mod_pagespeed, web performance e

francesismi :) #advSEOtool




Very active users (8,6 tweets per user)

Very high potential impact. (More than 1.220.000 impressions)

High participation (almost 900 tweets by 100 users)


8/10

Glossary



Page 1: General Overview: This page shows at a glance the evolution and the global statistics of the session.

Statistics

Number of Tweets: Total number of Tweets sent during the session, RTs and replies included. It is shown below, a

breakdown of the types of tweets: original tweets (those containing text only) tweets with links, retweets, conversations

(tweets as part of a conversation between several users), check-ins and photos.

- Number of users: Total number of users who participated in the session using the given hashtag. It also includes userswho only sent RTs.

- Potential Impact: Number of impressions of the hashtag, which is the number of times that people could have seen the

hashtag. This is important because it tells you how many times it has been possible to visualize the hashtag. This number is

calculated by multiplying the number of followers of each user by the number of number of Tweets and adding those results.

Example: If a user sends 2 tweets and he has 100 followers, the number of impressions generated by the users would be

200. If another user sends 3 tweets and he has 50 followers, the number of impressions generated by this person would be

150 which would make a total of 350 impressions of the session.

- Potential Reach: Number of users who have been unable to see the hashtag and could have been impacted by the

hashtag. This number is calculated by adding all the followers of each user who participated in the session. Using the

previous example, if the session had 2 users, one with 100 followers and the other one with 50, the reach will be 150

followers, regardless of the number of tweets sent. IMPORTANT: both the impact and reach are 'potential' because not

everyone may have seen the hashtag and users can have other users in common.

- Average number of Tweets per user: this number is the average of Tweets sent per each user. This number is calculated

by dividing the number of tweets between the number of users who have participated. RTs included.

- Average followers per user: the average number of followers that users of the session have. This figure indicates how

influential are the participants in our session. Given that the average number of followers that a Twitter user has is about

250, you can calculate if participants in your session exceed that average. This number is calculated by dividing the sum of

followers by the number of users who have participated.

- Difference between Total Tweets and Tweets: The Total Tweets include RTs, links, replies, links and 'Tweets'.

'Tweets' are the ones containing only text.

ChaRTs

There are different types of graphs in the report Tweet Category:

Temporal Evolution: shows the time evolution of the tweets sent by users. Tweet Category takes the first and last tweet

and draws the timeline of the session. Thanks to this chart you will be able to identify the moment people tweeted the most

or the least.

Influence of Users: shows the influence of the users who participated in the session. On the vertical axis you will find the

total number of users and on the horizontal one, the number of followers of those users. As we move to the right part of the

graph you will see the users who have a greater number of followers and therefore influence. The higher the columns on the

right, the higher influence of your users.

User activity: shows the number of tweets sent by users. The vertical axis shows the number of tweets sent and the

horizontal one the number of users who have participated.

Page 2: Statistics of the categories: on this page you will find the detailed statistics for each category.

Rankings of categories:

This ranking shows which categories have reached the top 5 according to several statistics. It is interesting to note that

although a category may have a greater number of tweets that another one, it could have a minor number of impressions

(lower impact). The rankings show the categories with the highest reach, impact, number of users, number of tweets and

number of RTs.


10/10

ChaRTs:

Impact by category: This graph shows which category has the highest number of impressions and therefore the highest

impact.

Tweets by category Chart: This chart shows which category has the highest number of total tweets.

Users by category Chart: This chart shows which category has the highest number of users.

Table of categories:

This table shows detailed statistics for each category; these statistics are the same variables as the global statistics of the

session but applied to each of the category. Thus you can see which category gets more impact, more users, and so on. It is

worth taking a second to consider this table as very interesting conclusions can be obtained from it.

Page 3: User Rankings

Tweet Category offers different kinds of user rankings:

Most active users: the ones who tweeted the most using the hashtag. RTs included.

Most popular users: the ones who have the highest number of followers in the session.

Users with the highest impact: the ones who generated the highest number of impressions.

Most participative users: the ones who participated in more categories.

Most retweeter users: the ones who sent the highest number of RTs.

Most original users: the ones who sent the highest number of original tweets (No RTs).

Documents

#advSEOtool