Top Analyst Tweeters
Edit (23 July 2010) – updated with extra 150 names – only showing top 1,000
Who are the analysts who use Twitter the most effectively?
In my regular call for analysts to be more competitive with each other in this mock top trumps scenario, it easy to forget that I don’t care who is number 1. What is crucial is:
who are the analysts that important for my topic area?
If semi-conductors or telecoms is your game then talking with Jeremiah Owyang will be interesting but not a good use of time. The way I would use this list is to focus on those analysts that are important by category. Nevertheless kudos must be given to those analysts who have excelled – they have understand that business models are changing, conversations in the online space are moving at a pace and enabling connections that were previously impossible. These analysts understand that if they are not part of the conversation, then the analysts that are influencing (and probably gaining the revenue) are their competitors.
Using SageCircle’s excellent database combined with a good number of my own I have used TweetLevel to understand who are the most important analysts on Twitter.
The majority of the top 500 names are included on this Twitter list.
The tool I have used to compile this league table (also now being used by MTV in their apprentice style reality show) compiles twitter data from over 30 sources and feeds the data through an algorithm to rank an individual according to four weightings:
- Popularity (i.e. How many people follow you)
- Influence (i.e. What you say is interesting, relevant and many people listen)
- Engaged (i.e. You actively participate within your community)
- Trusted (i.e. People believe what you say)
Of course, the explanation above is a simplified definition of a complex algorithm(the full methodology of this is shown at the bottom of this post).
Ranking Criteria The primary ranking metric is influence. However, it is interesting to see that when we analyse the same 1,000names by influence we get a completely different top 10 list.
Findings Once again a huge hat tip and pat on the back to Jeremiah Owyang who leads the way by a country mile. Everyone should take note how he uses Twitter to engage with his community and provide real value. For the first time I have now seen a larger number of brands in the top five than individuals.
eMarketer, Forrester, EConsultancy and Altimeter Group all fair extremely well. We should therefore recognise other people who punch well above their weight scoring exceptionally highly even though they are only in smaller firms.
Common complaints Whenever these lists are published, there are several points that always get raised which I will address now…
- This twitter account is not from an analyst. The argument as to whom is an analyst or a consultant is becoming largely moot. In my opinion if someone is independent and directly influences technology procurement then they are an analyst – I for one therefore see Vinnie Mirchandani as an analyst (as well as all the enterprise irregulars and Stowe Boyd who mailed me to tell me he is one too). I know this will cause a huge amount of disagreement but as an outsider looking in this is the way I see the market. This is not to say that some analysts have different strengths over others, it is more a case that I think as an AR pro, I need to monitor the lot of you.
- The twitter handle is written by multiple authors. Some twitter accounts have several analysts writing them whereas others do not. The merits of a single twitter account author is something that I personally favour as this allows me to understand the tone of author without having to understand the many personalities that are associated with it. Regardless, for this table, my view has not been to argue this but merely to present the data.
- It is irrelevant showing all the tweeters as I am only interested in a specific topic– bingo, that is exactly right. My suggestion to all AR pros is to identify which of your analysts are on this and only look at those. If you would like to understand who is important for a particular micro-topic area, please let me know.
- Hey – you have forgotten to include this list. Please let me know the name and if I will include it as an edit.
Top Analyst Tweeters (ranked by Influence on TweetLevel)
These names are included on this Twitter List
Account | Influence | Popularity | Engagement | Trust | ||
---|---|---|---|---|---|---|
1 | jowyang | 76.6 | 72.8 | 54.1 | 67.6 | |
2 | eMarketer | 75.3 | 67.9 | 45.4 | 70.7 | |
3 | Econsultancy | 70.3 | 65 | 41.1 | 63.2 | |
4 | Gartenberg | 69.4 | 58.5 | 68.6 | 58.5 | |
5 | forrester | 69.2 | 69.2 | 48.4 | 57.8 | |
6 | rwang0 | 66.8 | 58 | 57.5 | 54.7 | |
7 | augieray | 65.3 | 56.3 | 61.1 | 51 | |
8 | monkchips | 65.2 | 58.2 | 61 | 53 | |
9 | bfeld | 64 | 61.8 | 50.7 | 52 | |
10 | Gartner_inc | 61.9 | 66.4 | 40.3 | 49.8 | |
11 | charleneli | 61.2 | 68.8 | 55.2 | 43.9 | |
12 | TomRaftery | 61 | 56.4 | 60.9 | 44.8 | |
13 | VanessaAlvarez1 | 60.3 | 50.5 | 59.2 | 46.6 | |
14 | stoweboyd | 60.2 | 61.2 | 58.5 | 41.4 | |
15 | mfauscette | 59.4 | 55.9 | 10.6 | 47.7 | |
16 | bmichelson | 59.3 | 47.9 | 58.1 | 45.6 | |
17 | hharteveldt | 59.2 | 52.9 | 55.4 | 45 | |
18 | ekolsky | 59.2 | 49.9 | 71.7 | 42.7 | |
19 | pgreenbe | 59.1 | 52.7 | 46.3 | 43.4 | |
20 | dhinchcliffe | 59 | 59.5 | 47.1 | 43.3 | |
21 | maggiefox | 59 | 58.1 | 49.5 | 43.1 | |
22 | jesus_hoyos | 58.8 | 55.2 | 48 | 44.7 | |
23 | Ross | 58.7 | 61.2 | 40.6 | 43.5 | |
24 | mkrigsman | 58.6 | 56.3 | 48.5 | 43.8 | |
25 | CurtMonash | 58.5 | 50 | 60.7 | 42.6 | |
26 | Enderle | 58.2 | 57.7 | 55.1 | 42.9 | |
27 | mgualtieri | 57.6 | 53 | 45.6 | 44.1 | |
28 | rossrubin | 57.5 | 48.5 | 66.3 | 42.1 | |
29 | bobegan | 57.5 | 46.4 | 66 | 40.2 | |
30 | cote | 57.5 | 52.9 | 50.5 | 39.8 | |
31 | merv | 57.4 | 49.6 | 55.8 | 42.2 | |
32 | CRMStrategies | 57.4 | 52.2 | 54.3 | 42.5 | |
33 | ITSinsider | 57.4 | 55.7 | 59.7 | 38.8 | |
34 | jameskobielus | 56.9 | 48.6 | 48.2 | 41.6 | |
35 | DT | 56.7 | 46.7 | 58.7 | 44.1 | |
36 | cselland | 56.7 | 48 | 54.7 | 41.4 | |
37 | debs | 56.5 | 56.5 | 59.7 | 34.6 | |
38 | denschaal | 56.3 | 50.9 | 48.2 | 41.8 | |
39 | jbernoff | 56.2 | 59.8 | 50 | 39.4 | |
40 | rshevlin | 56.2 | 44.6 | 72.5 | 38 | |
41 | dealarchitect | 55.9 | 46 | 64 | 40.3 | |
42 | wood83 | 55.2 | 48.2 | 60.5 | 35.7 | |
43 | lehawes | 55.2 | 46 | 56.3 | 39.2 | |
44 | rmogull | 55.1 | 49.2 | 50 | 40.3 | |
45 | gyehuda | 55.1 | 50.3 | 51 | 38.2 | |
46 | carterlusher | 54.9 | 49.3 | 46.9 | 36.5 | |
47 | ccmehil | 54.8 | 46.8 | 67.3 | 33.4 | |
48 | storageio | 54.3 | 47.2 | 69.7 | 33.4 | |
49 | InFullBloomUS | 54.3 | 48.4 | 51.7 | 39.7 | |
50 | SethGrimes | 54.2 | 48.8 | 60.6 | 35.7 | |
51 | sogrady | 54.2 | 48.9 | 59.7 | 35.5 | |
52 | jclarey | 54.2 | 52.8 | 50.1 | 36.9 | |
53 | steven_noble | 54.2 | 47.7 | 58.3 | 35.8 | |
54 | drnatalie | 53.9 | 57.6 | 49.1 | 32.9 | |
55 | ZoliErdos | 53.9 | 45.4 | 62.5 | 36.9 | |
56 | richi | 53.6 | 53.2 | 56.2 | 32.2 | |
57 | stiennon | 53.6 | 60.9 | 51.9 | 30.2 | |
58 | PhoCusWright | 53.4 | 52.1 | 35.3 | 39.3 | |
59 | jeffnolan | 53.4 | 49 | 44.9 | 39 | |
60 | graemethickins | 53.4 | 51.5 | 42.7 | 36 | |
61 | stylishidea | 53.2 | 46.9 | 45.2 | 38.1 | |
62 | dankeldsen | 53.1 | 53.4 | 54.3 | 33.3 | |
63 | stephenodonnell | 52.9 | 60.1 | 52.1 | 33.1 | |
64 | sig | 52.8 | 39.2 | 59.4 | 45.8 | |
65 | blairplez | 52.8 | 44.4 | 56.6 | 37.8 | |
66 | AndreaDiMaio | 52.6 | 46.3 | 51.4 | 42.2 | |
67 | skemsley | 52.6 | 48.1 | 48.1 | 35.6 | |
68 | AndiMann | 52.4 | 47.6 | 54.4 | 37.1 | |
69 | JEBworks | 52.1 | 48.1 | 52 | 34.8 | |
70 | ggheorghiu | 52 | 44.3 | 49.3 | 34.1 | |
71 | tomcummings | 51.9 | 47.9 | 57.8 | 30.6 | |
72 | SteffWatson | 51.5 | 40.1 | 55.1 | 32.2 | |
73 | JimLundy | 51.2 | 46.7 | 49.6 | 31.6 | |
74 | samirb | 51.2 | 47.6 | 58.1 | 30.2 | |
75 | bkwalker | 51.1 | 48.1 | 36.9 | 35.8 | |
76 | NeilRaden | 51 | 46.5 | 67 | 27.7 | |
77 | Wikibon | 50.9 | 50.8 | 46.4 | 33.7 | |
78 | dbmoore | 50.9 | 46.3 | 37.9 | 38.1 | |
79 | fscavo | 50.8 | 45.1 | 52.6 | 36.2 | |
80 | Dana_Gardner | 50.8 | 49.6 | 7 | 39.5 | |
81 | Jake_Hird | 50.4 | 44.5 | 36.2 | 37.3 | |
82 | randygiusto | 50.4 | 44.1 | 51.7 | 30.9 | |
83 | jhammond | 50.3 | 44.1 | 43.6 | 37 | |
84 | dahowlett | 50.2 | 55.1 | 52.1 | 27.5 | |
85 | jonathaneunice | 50.2 | 46.2 | 61.1 | 28.3 | |
86 | SimonBramfitt | 49.9 | 37.5 | 53.5 | 39.2 | |
87 | jevon | 49.7 | 48.7 | 58.8 | 26.9 | |
88 | jyarmis | 49.7 | 50.5 | 53.4 | 25.7 | |
89 | nenshad | 49.4 | 47.4 | 47.4 | 28.2 | |
90 | Mark_Mulligan | 49.4 | 50.4 | 48.2 | 28.7 | |
91 | bevelson | 49.3 | 43.4 | 40.7 | 38.7 | |
92 | juliebhunt | 49.3 | 39.2 | 53.5 | 30.1 | |
93 | jberkowitz | 49.1 | 50 | 37.2 | 30.8 | |
94 | rgruia | 49.1 | 46.6 | 50.6 | 26.3 | |
95 | markmadsen | 49.1 | 44.7 | 55.7 | 28.1 | |
96 | passion4process | 49 | 44.1 | 50.4 | 35 | |
97 | biz_mobility | 48.9 | 41.8 | 48.2 | 31.5 | |
98 | billtrippe | 48.9 | 46.5 | 49 | 29.1 | |
99 | vendorprisey | 48.8 | 47.4 | 50.4 | 26.4 | |
100 | stephenmann | 48.7 | 43.5 | 54.6 | 27.3 | |
101 | Hitwise_UK | 48.7 | 58.2 | 44.6 | 27 | |
102 | Claudia_Imhoff | 48.6 | 47.9 | 48.5 | 25.1 | |
103 | dvellante | 48.6 | 45.5 | 48.6 | 24.8 | |
104 | iglazer | 48.5 | 42.1 | 47.5 | 29.9 | |
105 | timbo2002 | 48.4 | 43.1 | 48.3 | 29.7 | |
106 | slmader | 48.3 | 45 | 43.4 | 31.6 | |
107 | cswolf | 48.2 | 46 | 53 | 29.2 | |
108 | JoshNursing | 48.2 | 39.8 | 56.1 | 27.7 | |
109 | lcecere | 48.2 | 44.4 | 39 | 34.8 | |
110 | rbkarel | 48.1 | 41.9 | 42.4 | 36.3 | |
111 | nate_elliott | 48 | 49.8 | 46.2 | 26.7 | |
112 | Hitwise_US | 48 | 59.1 | 37.4 | 27.9 | |
113 | arj | 48 | 44.7 | 43.6 | 34.9 | |
114 | jonno | 47.8 | 44.2 | 52.2 | 23.8 | |
115 | KarenYetter | 47.5 | 60.2 | 11 | 25.9 | |
116 | fiberguy | 47.4 | 41 | 51.7 | 26.6 | |
117 | tebbo | 47.3 | 42.1 | 54.5 | 27.1 | |
118 | s_crawford | 47.2 | 43 | 51.7 | 26.7 | |
119 | idarose | 47.2 | 47.5 | 52 | 24.1 | |
120 | NigelFenwick | 47.2 | 46.4 | 49.2 | 25.4 | |
121 | ghaff | 47 | 42.4 | 50.7 | 29.4 | |
122 | infotrends | 46.9 | 45.3 | 35.5 | 34.1 | |
123 | andreascon | 46.6 | 46 | 39.1 | 36.4 | |
124 | jblock | 46.5 | 50.9 | 40.5 | 29.9 | |
125 | Staten7 | 46.5 | 44.3 | 36.1 | 31.9 | |
126 | MaribelLopez | 46.5 | 45 | 48.5 | 25.2 | |
127 | nielr1 | 46.4 | 39.7 | 47.1 | 33.6 | |
128 | bitterer | 46.4 | 46.4 | 42.7 | 26.8 | |
129 | jcorsello | 46.4 | 46.5 | 37.1 | 25.1 | |
130 | Zak_Kirchner | 46.4 | 38.6 | 50.1 | 26.8 | |
131 | john_chilmark | 46.4 | 48.5 | 41.5 | 25.6 | |
132 | visionmobile | 46.3 | 46.4 | 42.9 | 36.3 | |
133 | btudor | 46.3 | 39.5 | 51.2 | 32.8 | |
134 | znh | 46 | 46.6 | 44.4 | 23.7 | |
135 | gilbane | 45.9 | 48.7 | 39.7 | 28.6 | |
136 | gilbaneboston | 45.9 | 48.5 | 44.5 | 31.2 | |
137 | mosterman | 45.9 | 41.3 | 36.6 | 25.6 | |
138 | caostheory | 45.8 | 43.3 | 0 | 37.8 | |
139 | oliviepaul | 45.8 | 40.8 | 47.4 | 22.6 | |
140 | lisarowan | 45.8 | 43.4 | 36.3 | 30.4 | |
141 | stevedupe | 45.7 | 46.4 | 40.3 | 28.6 | |
142 | christineptran | 45.6 | 42.9 | 44.3 | 26.1 | |
143 | YankeeGroup | 45.6 | 48.3 | 28.7 | 33.4 | |
144 | gilliatt | 45.6 | 48.8 | 49.8 | 23.5 | |
145 | gleganza | 45.6 | 42.5 | 45.6 | 27.5 | |
146 | kasthomas | 45.4 | 60.1 | 32.3 | 26.8 | |
147 | JeffreyBreen | 45.4 | 43.4 | 45.5 | 25.4 | |
148 | paulhamerman | 45.4 | 43.1 | 31 | 32.3 | |
149 | abnerg | 45.4 | 45.1 | 49.1 | 27 | |
150 | Dale_Vile | 45.3 | 42.9 | 52.6 | 22.7 | |
151 | apoorv | 45.3 | 40.3 | 49.6 | 26.8 | |
152 | vgtero | 45.3 | 42.7 | 37.1 | 28.2 | |
153 | megheuer | 45.2 | 48.6 | 44.2 | 23.3 | |
154 | PhilippBohn | 45.1 | 39.9 | 47.7 | 31 | |
155 | TonyByrne | 45 | 47.2 | 41.5 | 26.8 | |
156 | CurrentAnalysis | 45 | 44.5 | 7.3 | 28.7 | |
157 | shawnrog | 44.9 | 44.3 | 37.9 | 22.8 | |
158 | cwood | 44.8 | 38 | 46.4 | 23.5 | |
159 | OvumICT | 44.8 | 41.6 | 39.9 | 34.6 | |
160 | IDC | 44.6 | 56.6 | 5.5 | 32.9 | |
161 | storageswiss | 44.6 | 44.2 | 38.1 | 30.8 | |
162 | hyounpark_AG | 44.4 | 41.7 | 46.6 | 26.5 | |
163 | the451group | 44.4 | 50.2 | 24.8 | 33.9 | |
164 | erainge | 44.4 | 42.2 | 39.4 | 31.2 | |
165 | nyuhanna | 44.2 | 52.2 | 9.9 | 24 | |
166 | pnjarich | 44.2 | 36 | 45.9 | 27.5 | |
167 | omriduek | 44.1 | 38.8 | 53.8 | 24.3 | |
168 | johnrrymer | 44 | 47 | 41.1 | 23.3 | |
169 | neilwd | 43.8 | 41.6 | 36.7 | 26.5 | |
170 | robinbloor | 43.8 | 52.5 | 36.5 | 23 | |
171 | clivel_98 | 43.8 | 41.9 | 51.2 | 23.2 | |
172 | pjtec | 43.6 | 39.9 | 37.8 | 26.9 | |
173 | adriaanbloem | 43.5 | 39.5 | 51.1 | 23.4 | |
174 | janovum | 43.5 | 39.3 | 52.9 | 24.5 | |
175 | cmooreforrester | 43.5 | 46.1 | 36 | 25.3 | |
176 | ironick | 43.5 | 38.5 | 52.4 | 21.9 | |
177 | ianfogg42 | 43.4 | 42.5 | 36.4 | 21.9 | |
178 | seuj | 43.3 | 32 | 64.3 | 20.4 | |
179 | cmswatch | 43.3 | 52.3 | 32.7 | 26.5 | |
180 | stevemann | 43.3 | 46.7 | 49.9 | 21.9 | |
181 | itworks | 43.2 | 40.8 | 44.2 | 22.9 | |
182 | kmcpartland | 43.2 | 35.7 | 34.6 | 32.7 | |
183 | cmendler | 43.1 | 43.8 | 49 | 23.4 | |
184 | ARC_Advisory | 43.1 | 44.6 | 30.9 | 27.6 | |
185 | nselby | 43.1 | 45 | 49.7 | 21.8 | |
186 | Teresacottam | 42.9 | 38.2 | 48.6 | 29.9 | |
187 | cuttertweets | 42.8 | 44.9 | 36.6 | 21.9 | |
188 | rreitsma | 42.8 | 42.9 | 37.4 | 28.4 | |
189 | bryanyeager | 42.7 | 36.7 | 36.9 | 26.3 | |
190 | dnm54 | 42.7 | 37.7 | 41.2 | 22.4 | |
191 | pfersht | 42.6 | 44.4 | 39.6 | 26.2 | |
192 | lauriemccabe | 42.6 | 40.7 | 42 | 23 | |
193 | paulfroberts | 42.5 | 42.1 | 37 | 28.7 | |
194 | krestivo | 42.4 | 44.9 | 46.5 | 21.3 | |
195 | Horses4Sources | 42.3 | 41.8 | 35.2 | 33.6 | |
196 | 802dotchris | 42.3 | 42.5 | 46.2 | 21.8 | |
197 | jgptec | 42.2 | 38.2 | 32.4 | 24.5 | |
198 | McGeeSmith | 42.2 | 38.4 | 38.2 | 28.9 | |
199 | etravelproject | 42.1 | 44.7 | 35.5 | 24.1 | |
200 | maslett | 42.1 | 41.1 | 41.5 | 23.2 | |
201 | jeffmann | 42.1 | 45.4 | 37.3 | 21.4 | |
202 | hkisker | 42.1 | 38.8 | 29.7 | 31.6 | |
203 | glennodonnell | 42.1 | 43 | 45.6 | 23.4 | |
204 | jalvear | 42.1 | 39.3 | 48.4 | 20.2 | |
205 | Mark_Goldberg | 42.1 | 38.8 | 37.6 | 25.8 | |
206 | EliseOlding | 42 | 38.1 | 36.8 | 33.2 | |
207 | RayLucchesi | 42 | 42.5 | 54.5 | 23 | |
208 | btemkin | 42 | 46.9 | 29.5 | 30.1 | |
209 | gcolony | 41.9 | 56.7 | 31 | 33.2 | |
210 | johnlovett | 41.9 | 47.8 | 51.3 | 22.7 | |
211 | GigaOMPro | 41.8 | 45.7 | 31.9 | 24.7 | |
212 | FreeformCentral | 41.8 | 41.1 | 38 | 29.7 | |
213 | AjitJaokar | 41.8 | 46.1 | 48.5 | 21.6 | |
214 | Neovise | 41.7 | 38.6 | 38.2 | 25.2 | |
215 | adamhleach | 41.7 | 38.6 | 50.3 | 20.3 | |
216 | IDCInsights | 41.7 | 50 | 30.6 | 23.8 | |
217 | michaelwolf | 41.6 | 41.1 | 41.9 | 22.7 | |
218 | SarahBurnett | 41.6 | 45.2 | 45.2 | 21.3 | |
219 | bfinucane | 41.4 | 46.6 | 51.7 | 21.4 | |
220 | TonyBaer | 41.3 | 41.2 | 44.6 | 22.5 | |
221 | sliewehr | 41.3 | 38.2 | 53 | 21 | |
222 | vtri | 41.3 | 43.8 | 41.7 | 20.7 | |
223 | douglas_quinby | 41.2 | 44.1 | 42.8 | 22.7 | |
224 | AlanWebber | 41.2 | 46.8 | 37.2 | 21.7 | |
225 | NickLippis | 41 | 42.9 | 29.6 | 21.1 | |
226 | smulpuru | 40.8 | 45.9 | 28.4 | 24.7 | |
227 | shigginski | 40.8 | 35.4 | 44.2 | 24.3 | |
228 | Gabeuk | 40.7 | 40 | 43.4 | 20.7 | |
229 | abonde | 40.7 | 37.6 | 37.5 | 29.1 | |
230 | iSuppli | 40.7 | 46.1 | 5.5 | 26.1 | |
231 | EricaDriver | 40.6 | 44.3 | 43.8 | 20.8 | |
232 | darranclem | 40.6 | 39.7 | 40.7 | 19.9 | |
233 | KeithHumphreys | 40.6 | 41.5 | 40.3 | 24.7 | |
234 | Thomas_Husson | 40.6 | 44.8 | 36.6 | 24.6 | |
235 | jhurwitz | 40.5 | 50 | 35 | 21.8 | |
236 | s_v_g | 40.5 | 38.6 | 48.2 | 19.6 | |
237 | gwoodill | 40.4 | 49.6 | 43.3 | 22 | |
238 | pattyinboothbay | 40.1 | 44.8 | 35.2 | 20.3 | |
239 | atmanes | 40.1 | 44.2 | 31.4 | 20.5 | |
240 | BurtonGroupIT | 40.1 | 46.6 | 31.7 | 21.6 | |
241 | allenweiner | 40.1 | 42.1 | 32.6 | 19.5 | |
242 | jimholincheck | 40 | 44.4 | 31.3 | 21.9 | |
243 | sureshvittal | 39.9 | 45.9 | 43.4 | 22.8 | |
244 | jmcquivey | 39.9 | 45 | 42.6 | 22.8 | |
245 | Montejam | 39.7 | 40.7 | 44.4 | 20.1 | |
246 | jamet123 | 39.7 | 44.7 | 31.1 | 20.5 | |
247 | timehhh | 39.7 | 41.3 | 40.5 | 25.2 | |
248 | LinusGreg | 39.7 | 44.9 | 34.6 | 20.8 | |
249 | GartnerTedF | 39.6 | 37.6 | 33.9 | 32.5 | |
250 | philww | 39.6 | 44.1 | 35.1 | 26.4 | |
251 | davidcard | 39.4 | 44.6 | 39.2 | 21 | |
252 | joeltweet | 39.4 | 53.7 | 42.4 | 21.5 | |
253 | tjkeitt | 39.4 | 38.5 | 36 | 26.3 | |
254 | ventanaresearch | 39.3 | 43.8 | 30.7 | 20.3 | |
255 | keith_rng | 39.2 | 40.7 | 43.2 | 19.4 | |
256 | BobWarfield | 39.2 | 42.4 | 41.1 | 20.4 | |
257 | CRozwell | 39.1 | 42.7 | 33.2 | 25.1 | |
258 | mark_koenig | 39 | 39.4 | 44.8 | 19 | |
259 | heidishey | 38.9 | 37 | 44.8 | 21.4 | |
260 | avigreengart | 38.9 | 36.1 | 30.8 | 22.7 | |
261 | jpmorgenthal | 38.8 | 42.8 | 41.2 | 20.3 | |
262 | TomGrantForr | 38.8 | 42.7 | 31 | 20.1 | |
263 | lauraramos | 38.8 | 51.8 | 33.3 | 22.6 | |
264 | dschatsky | 38.8 | 41.4 | 32.7 | 21 | |
265 | gilbanesf | 38.7 | 46.5 | 38 | 20.4 | |
266 | rogermud | 38.7 | 42.5 | 9.2 | 19.1 | |
267 | ABI_4G | 38.6 | 38.2 | 5.9 | 26.9 | |
268 | StefanRied | 38.6 | 43.7 | 31.9 | 20.4 | |
269 | SeanCor | 38.6 | 48.1 | 45.9 | 21.5 | |
270 | alexkwiatkowski | 38.4 | 37.1 | 42.3 | 22.4 | |
271 | joestanhope | 38.4 | 40.2 | 40.6 | 21 | |
272 | erichknipp | 38.4 | 38.5 | 41.7 | 19.6 | |
273 | punirajah | 38.4 | 35.6 | 37.5 | 19 | |
274 | rwhiteley0 | 38.3 | 40.6 | 38.6 | 23.1 | |
275 | jjegher | 38.3 | 40.5 | 43.2 | 22.9 | |
276 | rschmelzer | 38.3 | 39.8 | 34.8 | 19.8 | |
277 | ravenzachary | 38.3 | 42.9 | 32.3 | 19.6 | |
278 | imlazar | 38.2 | 40.9 | 42.8 | 20.7 | |
279 | stessacohen | 38.2 | 41.2 | 51.3 | 19.5 | |
280 | cee_m_bee | 38.2 | 39.5 | 36.4 | 21 | |
281 | adamjura | 38.2 | 36.3 | 46.2 | 19.6 | |
282 | bradholtz | 38.2 | 40.9 | 34.3 | 19.6 | |
283 | Bersin | 38.1 | 50.9 | 28.6 | 22.7 | |
284 | rayval | 38.1 | 46.7 | 35.8 | 20.3 | |
285 | dmavrakis | 38.1 | 36.6 | 42.3 | 20.6 | |
286 | pragkirk | 38 | 43 | 41 | 19.9 | |
287 | MattRosoff | 38 | 43 | 30.4 | 22.2 | |
288 | thinkovation | 38 | 39.7 | 47.7 | 19.3 | |
289 | siriusdecisions | 37.9 | 46.5 | 36.4 | 20.5 | |
290 | TheNakedChief | 37.9 | 34.6 | 36.4 | 26.2 | |
291 | JeffPR | 37.8 | 43.9 | 32.8 | 19.3 | |
292 | mbrandenburg | 37.7 | 38.5 | 50.4 | 19.3 | |
293 | NormTravelTech | 37.7 | 42.9 | 30.3 | 22.6 | |
294 | Jossgillet | 37.6 | 33.5 | 43.2 | 18.1 | |
295 | brian_riggs | 37.5 | 40.7 | 38.6 | 20.9 | |
296 | jesstsai | 37.4 | 39.3 | 33.9 | 18.3 | |
297 | dxmitche | 37.4 | 42.4 | 32.9 | 19.2 | |
298 | jeunice | 37.3 | 38.7 | 36 | 20.2 | |
299 | bmirabito | 37.2 | 47.9 | 33.6 | 20.1 | |
300 | Heuristocrat | 37.2 | 40.1 | 27.8 | 18.2 | |
301 | smwat | 37.2 | 34.5 | 38.6 | 21.7 | |
302 | martinatherton | 37.1 | 37.9 | 42.5 | 18.3 | |
303 | ripcitylyman | 37.1 | 37.8 | 28.3 | 22.8 | |
304 | sjschuchartCA | 37 | 35.7 | 53.9 | 18.8 | |
305 | Celent_Research | 36.9 | 43.2 | 30.3 | 22.9 | |
306 | ChristianKane | 36.9 | 36.3 | 40.9 | 19 | |
307 | lauwhitehouse | 36.9 | 39.7 | 40.2 | 28.5 | |
308 | Lciarlone | 36.9 | 41 | 38.4 | 18.5 | |
309 | bobblakley | 36.8 | 36.2 | 49.2 | 19.2 | |
310 | peter_w_ryan | 36.8 | 30.1 | 41.8 | 23.2 | |
311 | bwalder | 36.8 | 36.3 | 33.5 | 18.1 | |
312 | mikeferguson1 | 36.8 | 39.4 | 35.1 | 19 | |
313 | joltsik | 36.7 | 40.2 | 27.9 | 28.3 | |
314 | ajbowles | 36.6 | 38.7 | 38.2 | 20.4 | |
315 | NewsShark | 36.6 | 43.9 | 8.4 | 20.6 | |
316 | waband | 36.4 | 43.4 | 36.7 | 23.5 | |
317 | bsdunlap | 36.4 | 38.2 | 33.8 | 18.3 | |
318 | BarryRabkin | 36.3 | 41.1 | 42.7 | 18.5 | |
319 | REdwards | 36.2 | 37.9 | 26.6 | 20.2 | |
320 | alyswoodward | 36.2 | 37.9 | 48.2 | 18.4 | |
321 | msbrumfield | 36.2 | 39.2 | 34.1 | 18.4 | |
322 | GaryatWikibon | 36.1 | 39.3 | 38.4 | 18.1 | |
323 | ekmurphy | 35.9 | 34.3 | 43.4 | 17.2 | |
324 | nealhannon | 35.9 | 39.5 | 35.3 | 18.1 | |
325 | Burgess_Gary | 35.8 | 34.9 | 38.8 | 19.4 | |
326 | mlees | 35.8 | 38.9 | 38.8 | 18 | |
327 | Hitwise_AP | 35.8 | 50.1 | 27.8 | 20.2 | |
328 | Gartnergreg | 35.8 | 40.5 | 35.4 | 18.8 | |
329 | twehmeier | 35.7 | 31.2 | 52.6 | 22.1 | |
330 | MobileAberdeen | 35.7 | 40.1 | 36 | 18.8 | |
331 | Chris_Gaun | 35.6 | 43.5 | 28.7 | 21.9 | |
332 | TKspeaks | 35.6 | 52.9 | 32.8 | 21.7 | |
333 | Josh_Bersin | 35.6 | 52.3 | 29.2 | 20.9 | |
334 | spendmatters | 35.6 | 38.6 | 28.8 | 21.7 | |
335 | LockTD | 35.6 | 37.9 | 33.4 | 18.1 | |
336 | DenisPombriant | 35.6 | 43.2 | 30 | 19.6 | |
337 | aschmitt | 35.6 | 36.6 | 32.6 | 17.9 | |
338 | pund_it | 35.5 | 36.8 | 36 | 17.8 | |
339 | fjeronimo | 35.4 | 38.9 | 27.6 | 20.1 | |
340 | theresaregli | 35.3 | 42.5 | 37.5 | 18.9 | |
341 | minicooper | 35.3 | 44.5 | 37.9 | 19.5 | |
342 | katehanaghan | 35.3 | 37.6 | 47.6 | 17.8 | |
343 | dkusnetzky | 35.3 | 40.6 | 39.9 | 18.7 | |
344 | scottn7 | 35.2 | 37.7 | 30.8 | 17.6 | |
345 | iangjacobs | 35.2 | 40.8 | 33.8 | 18.5 | |
346 | Frost_Sullivan | 35.2 | 43.1 | 5.5 | 19 | |
347 | esganalysttmac | 35.1 | 41.8 | 44.2 | 18.7 | |
348 | Shawn_McCarthy | 35.1 | 39.5 | 35.7 | 18 | |
349 | nickpatience | 35.1 | 38.9 | 34.5 | 20 | |
350 | jaysonsaba | 35.1 | 38.6 | 31.1 | 21.1 | |
351 | billtancer | 35.1 | 39 | 42.5 | 21.6 | |
352 | jensbutler | 35 | 35.4 | 34.7 | 18 | |
353 | ca_bshimmin | 34.9 | 41.2 | 29.6 | 17.9 | |
354 | jim_techclarity | 34.9 | 39.2 | 35.8 | 18.3 | |
355 | D_Hong | 34.9 | 40.3 | 33.3 | 18.2 | |
356 | ABINextGen | 34.8 | 31.2 | 35.2 | 20.1 | |
357 | MarkRaskino | 34.8 | 40.6 | 29.8 | 18.6 | |
358 | cdhowe | 34.8 | 34.6 | 29.7 | 17.9 | |
359 | jonathanbrowne | 34.7 | 41.8 | 35.5 | 18.2 | |
360 | chinamartens451 | 34.7 | 34.8 | 25.8 | 16.9 | |
361 | srepps | 34.7 | 40.4 | 36 | 22.7 | |
362 | jblin | 34.7 | 36.8 | 26.2 | 17 | |
363 | JimSinur | 34.7 | 37.5 | 24.6 | 31.1 | |
364 | mlevitt | 34.7 | 40.1 | 25.6 | 17.5 | |
365 | weckerson | 34.6 | 42.5 | 32.6 | 19 | |
366 | PHassey | 34.4 | 34.5 | 32.7 | 17.2 | |
367 | nengelbert | 34.4 | 40.2 | 30.8 | 17.7 | |
368 | dfrankland | 34.4 | 43.6 | 36.8 | 18.9 | |
369 | JulieAsk | 34.3 | 40.3 | 21.3 | 19.7 | |
370 | nora_freedman | 34.3 | 39.9 | 46 | 17.8 | |
371 | DortchOnIT | 34.2 | 39 | 32.3 | 18.3 | |
372 | VLI | 34.2 | 33.6 | 39.3 | 17 | |
373 | Rick345 | 34.1 | 38.1 | 31.2 | 17.9 | |
374 | kreidy | 34.1 | 40.3 | 43.1 | 20.2 | |
375 | PikeResearch | 34.1 | 40.3 | 8.4 | 24.2 | |
376 | toppundit | 34.1 | 40.3 | 28 | 18.1 | |
377 | Nemertes | 33.9 | 39.4 | 8.4 | 18.7 | |
378 | ferrusi | 33.8 | 36.9 | 35.1 | 17.3 | |
379 | vvittore | 33.8 | 34.3 | 39 | 17.1 | |
380 | rob_bamforth | 33.8 | 35.6 | 35 | 17.1 | |
381 | edwardsjonat | 33.7 | 35.5 | 39.8 | 18.8 | |
382 | logisticsviewpt | 33.7 | 40.9 | 32.6 | 20.3 | |
383 | AgingTech | 33.7 | 44 | 25.6 | 20.6 | |
384 | mbkmbk | 33.6 | 38.7 | 26.9 | 19.1 | |
385 | katiesmillie | 33.6 | 37.6 | 32.4 | 16.9 | |
386 | benwoony | 33.6 | 36.3 | 25.6 | 27.3 | |
387 | analystnick | 33.5 | 40.3 | 32.7 | 17.8 | |
388 | infonetics | 33.5 | 44.9 | 25.4 | 22.2 | |
389 | securityjeff | 33.5 | 35.7 | 37.2 | 17.3 | |
390 | heyshiv | 33.5 | 33 | 50.5 | 17.1 | |
391 | CXPOeilExpert | 33.4 | 37.2 | 7 | 16.8 | |
392 | royillsley | 33.4 | 39.2 | 29.5 | 17.4 | |
393 | ForresterJobs | 33.4 | 49 | 32.8 | 19.5 | |
394 | bojan_simic | 33.4 | 37.2 | 34.7 | 20.1 | |
395 | prashanthrai | 33.3 | 33.8 | 29.2 | 16.2 | |
396 | lauradidio | 33.3 | 36.7 | 23.3 | 17.5 | |
397 | chris_townsend_ | 33.2 | 40.4 | 44 | 18.3 | |
398 | stor2 | 33.2 | 39 | 30.5 | 17.1 | |
399 | billnagel | 33.2 | 33.5 | 34.1 | 16.6 | |
400 | nigelwallis | 33.1 | 33.3 | 34.3 | 16.1 | |
401 | cloudpundit | 33.1 | 37.8 | 30.6 | 19.2 | |
402 | demartek | 33.1 | 40.4 | 31.8 | 17.6 | |
403 | TECtweets | 33 | 37.7 | 26.5 | 16.9 | |
404 | brucemr | 33 | 33.5 | 29.6 | 16.3 | |
405 | npdgroup | 33 | 49.4 | 4.4 | 20.4 | |
406 | jtsd | 33 | 30.3 | 30.9 | 17 | |
407 | nickster2407 | 32.9 | 37.4 | 34.2 | 17.1 | |
408 | rnantel | 32.9 | 38.4 | 7 | 17 | |
409 | jboye | 32.9 | 39.7 | 30.7 | 19.9 | |
410 | Eval_Source | 32.8 | 35.9 | 32.5 | 17.1 | |
411 | EquaTerra | 32.8 | 40.9 | 6.6 | 20.7 | |
412 | passingnotes | 32.8 | 37 | 36.7 | 16.5 | |
413 | KSterneckert | 32.8 | 39.8 | 32.9 | 17 | |
414 | ema_research | 32.7 | 43.5 | 7.3 | 17.9 | |
415 | suds | 32.7 | 36.8 | 33 | 16.2 | |
416 | azornes | 32.6 | 38.5 | 4.8 | 17.3 | |
417 | carldoty | 32.6 | 38.1 | 30.3 | 17.1 | |
418 | jcapachin | 32.6 | 38.3 | 30.4 | 17.2 | |
419 | howett | 32.6 | 31.6 | 45.5 | 16.1 | |
420 | darrenbibby | 32.6 | 38.6 | 25.2 | 17 | |
421 | AMR_Research | 32.5 | 51.2 | 26 | 19.5 | |
422 | TGView | 32.4 | 36.7 | 27.3 | 16.9 | |
423 | epopova | 32.4 | 35.9 | 29.5 | 16.4 | |
424 | e2theb | 32.4 | 29.4 | 36 | 16.6 | |
425 | Senformation | 32.4 | 37.4 | 36.2 | 16.8 | |
426 | jarrodgingras | 32.3 | 41.8 | 35.6 | 17.5 | |
427 | mtauschek | 32.3 | 33.4 | 36.3 | 16.4 | |
428 | wif | 32.3 | 35.6 | 29.3 | 24.2 | |
429 | fgilbane | 32.3 | 39.9 | 35.7 | 17.4 | |
430 | matteastwood | 32.2 | 37.4 | 26.3 | 17.4 | |
431 | euroLAN | 32.1 | 37.2 | 31 | 16.3 | |
432 | stavvmc | 32.1 | 31.9 | 37.4 | 16 | |
433 | Telesperience | 32.1 | 36 | 27.6 | 17.1 | |
434 | ePubDr | 32.1 | 33.7 | 27.5 | 16.4 | |
435 | Payment_Expert | 32.1 | 46.4 | 27.6 | 18.2 | |
436 | mizkonary | 32 | 35.6 | 31.4 | 18 | |
437 | EveGr | 31.9 | 35.1 | 26.9 | 16.2 | |
438 | infotrends_mps | 31.8 | 37.3 | 33 | 16.5 | |
439 | FillMurphy | 31.8 | 34.2 | 24 | 19.4 | |
440 | IDCBrasil | 31.6 | 41.3 | 2.9 | 19.6 | |
441 | Craw | 31.6 | 40.4 | 30.1 | 19.4 | |
442 | gregbuzek | 31.5 | 33.4 | 27.4 | 15.6 | |
443 | zkerravala | 31.5 | 38.6 | 23.1 | 16.9 | |
444 | PaulBrown_SA | 31.4 | 34.4 | 31.4 | 15.7 | |
445 | SA_Update | 31.3 | 40.5 | 3.3 | 17.6 | |
446 | chenxiwang | 31.3 | 31.1 | 28.9 | 21 | |
447 | pmcginnis | 31.3 | 38.2 | 8.4 | 15.6 | |
448 | reastman | 31.2 | 35.6 | 29.2 | 15.7 | |
449 | PJHines | 31.2 | 39.6 | 27.4 | 16.8 | |
450 | diteb | 31.2 | 38.6 | 37.6 | 16.4 | |
451 | tim_walters | 31.2 | 39.1 | 30.6 | 18.5 | |
452 | mHingley | 31.1 | 36.7 | 6.6 | 17.7 | |
453 | NPDFrazier | 31 | 42 | 34.9 | 18.1 | |
454 | CompassIntel | 31 | 38.2 | 25.2 | 16.4 | |
455 | jfrey80 | 31 | 38.8 | 26.4 | 18.7 | |
456 | Andrew_Boyd | 30.9 | 42.2 | 34.1 | 16.9 | |
457 | RachelDines | 30.9 | 39.4 | 34.6 | 18.7 | |
458 | EverestGroup | 30.9 | 39.3 | 23.9 | 16.6 | |
459 | AndyBrownSA | 30.8 | 30.5 | 38.2 | 15.1 | |
460 | tamarabarber | 30.8 | 38.6 | 36.5 | 17.4 | |
461 | 100Gigabit | 30.8 | 41.6 | 26.7 | 16.7 | |
462 | InterpretLLC | 30.8 | 30.1 | 29.3 | 19.6 | |
463 | mobilesimmo | 30.8 | 35.5 | 26.8 | 16.1 | |
464 | markhrobinson | 30.7 | 38.5 | 24.5 | 16.1 | |
465 | acfrank | 30.6 | 37.9 | 26.3 | 15.8 | |
466 | Aberdeen_CMTG | 30.6 | 46.6 | 27.6 | 17.8 | |
467 | mgrey | 30.5 | 36.5 | 21.5 | 16.2 | |
468 | jctec | 30.5 | 32.1 | 30.4 | 16.6 | |
469 | DaveMario | 30.4 | 37.5 | 34.6 | 16.7 | |
470 | kevinnolanuk | 30.4 | 39.4 | 27.5 | 17.8 | |
471 | carriejohnson | 30.3 | 37.4 | 35.2 | 16.8 | |
472 | idccanada | 30.3 | 43.4 | 8.4 | 16.9 | |
473 | rstormonth | 30.1 | 32.7 | 25.3 | 17 | |
474 | leedoyleidc | 30 | 37.6 | 19.5 | 19.5 | |
475 | jmp_katz | 30 | 38.2 | 35.5 | 16.7 | |
476 | dlevitas | 29.9 | 36.7 | 28.7 | 15.9 | |
477 | benwood | 29.9 | 42.4 | 25.2 | 17.3 | |
478 | dconnor | 29.8 | 38.6 | 33.4 | 16.4 | |
479 | hokun | 29.8 | 36.1 | 37 | 16 | |
480 | drjimmys | 29.7 | 33 | 7.7 | 14.3 | |
481 | Nathan_Safran | 29.6 | 33.2 | 36.1 | 15.3 | |
482 | instantBP | 29.6 | 35.1 | 27 | 15.3 | |
483 | markpmcdonald | 29.6 | 38.1 | 4.8 | 16.3 | |
484 | daniel_krauss | 29.5 | 30.9 | 25.4 | 15.2 | |
485 | paulzagaeski | 29.4 | 23.8 | 33.9 | 20 | |
486 | mbarbagallo | 29.4 | 36.5 | 28.3 | 18.8 | |
487 | TechMarketView | 29.4 | 34.4 | 5.9 | 15.1 | |
488 | andreasantonop | 29.3 | 37.5 | 40 | 15.9 | |
489 | melanieturek | 29.3 | 36.4 | 33.1 | 16.1 | |
490 | bseitz | 29.3 | 28.7 | 39 | 14.4 | |
491 | IDC_EMEA | 29.2 | 31.3 | 54.4 | 17 | |
492 | stephatkins | 29.2 | 32.1 | 27.2 | 16.1 | |
493 | markbowker | 29.1 | 39.1 | 24.7 | 16.3 | |
494 | PeteCunningham | 29.1 | 36.7 | 37.6 | 16.3 | |
495 | juniperresearch | 29 | 38.6 | 24.2 | 16.4 | |
496 | dougwashburn | 29 | 38.5 | 32 | 18.2 | |
497 | thickernell | 29 | 34.9 | 24.3 | 15.5 | |
498 | MattyHatton | 29 | 37.2 | 35.5 | 15.9 | |
499 | paulbudde | 29 | 34.7 | 20.8 | 15.6 | |
500 | Kindervag | 28.9 | 33.6 | 41.5 | 15.9 | |
501 | fgens | 28.9 | 41.6 | 26.6 | 16.9 | |
502 | dreeves1 | 28.8 | 31.6 | 30.2 | 15.4 | |
503 | zmcgeary | 28.8 | 38.7 | 46.7 | 15.7 | |
504 | jamystewart | 28.7 | 40 | 27.2 | 16.4 | |
505 | Madtarquin | 28.7 | 37.6 | 37.2 | 15.6 | |
506 | strothkamp | 28.7 | 36.8 | 26.7 | 16.4 | |
507 | wjmalik | 28.6 | 32.9 | 36.4 | 15.3 | |
508 | AnalysysMason | 28.6 | 33.7 | 21.9 | 21.8 | |
509 | mgerush | 28.6 | 37.6 | 28.3 | 17.4 | |
510 | jaranderson | 28.6 | 29.3 | 35.6 | 16.6 | |
511 | poneillforr | 28.5 | 30.8 | 24 | 16.5 | |
512 | mgilpin | 28.5 | 38.1 | 31.1 | 16.4 | |
513 | G_ant | 28.5 | 33.8 | 35.7 | 15.4 | |
514 | red_gillen | 28.5 | 30.7 | 24.3 | 19.6 | |
515 | michaelgreene | 28.5 | 37.9 | 28.9 | 16.3 | |
516 | lisabradner | 28.5 | 41.3 | 27.2 | 16.4 | |
517 | NinaLytton | 28.4 | 30.3 | 30.9 | 15.6 | |
518 | nsturgill | 28.3 | 33.1 | 22.7 | 16.2 | |
519 | Lluis_Altes | 28.3 | 32.3 | 5.9 | 14.3 | |
520 | dpotterton | 28.2 | 34.1 | 5.1 | 16.4 | |
521 | KeithKTsang | 28.2 | 34.5 | 34.6 | 14.9 | |
522 | ChrisOber | 28.2 | 34.4 | 27.6 | 15.1 | |
523 | nikkibaird | 28.1 | 36.1 | 23.4 | 15.6 | |
524 | JoshSMartin | 28 | 27 | 28.7 | 13.4 | |
525 | brightfly | 28 | 36.5 | 5.5 | 14.9 | |
526 | Canalys | 28 | 38.2 | 5.1 | 15.5 | |
527 | annenielsen | 28 | 35.8 | 26.4 | 14.6 | |
528 | srog | 27.9 | 37.6 | 36.4 | 15.7 | |
529 | adriandrury | 27.9 | 31.7 | 26.4 | 14.4 | |
530 | DarylPlummer | 27.9 | 41.4 | 32 | 17.3 | |
531 | RogerKay | 27.9 | 38.3 | 26.1 | 16 | |
532 | elizabethstark | 27.9 | 35.1 | 30.6 | 15.3 | |
533 | CurlyGuyBry | 27.9 | 30.7 | 36.1 | 15.5 | |
534 | richwatson | 27.9 | 38.7 | 29.7 | 16 | |
535 | dtwing | 27.9 | 34.5 | 30.3 | 14.9 | |
536 | lightplay | 27.8 | 31.4 | 33.3 | 14.7 | |
537 | debswee | 27.8 | 32.3 | 31.4 | 14.7 | |
538 | MKRasmussen | 27.8 | 40.9 | 5.1 | 16.4 | |
539 | chrischute | 27.8 | 32.3 | 26.6 | 14.6 | |
540 | msmvnj | 27.8 | 36.4 | 26.8 | 15.4 | |
541 | algillen | 27.8 | 36.1 | 28.9 | 15.7 | |
542 | ghalimi | 27.8 | 36.3 | 0 | 15.9 | |
543 | Frost_Events | 27.7 | 36.4 | 24.3 | 14.7 | |
544 | anshublog | 27.7 | 32.7 | 33.2 | 14.6 | |
545 | naveenhegde1 | 27.7 | 30.4 | 23.1 | 13.9 | |
546 | jamiemlewis | 27.6 | 37.6 | 33.4 | 15.7 | |
547 | galvar60 | 27.6 | 36 | 4.8 | 15.1 | |
548 | rkoplowitz | 27.6 | 39.6 | 27.4 | 16.4 | |
549 | gcreese | 27.6 | 37.7 | 19.3 | 16 | |
550 | rsilvalondon | 27.5 | 30.7 | 2.9 | 15.8 | |
551 | TheTowerGroup | 27.5 | 36.3 | 22.9 | 15.8 | |
552 | LFrankKenney | 27.5 | 34.1 | 34.5 | 15 | |
553 | susankevorkian | 27.4 | 35.1 | 22.7 | 14.4 | |
554 | instat | 27.4 | 40.5 | 5.1 | 16.2 | |
555 | CushingAnderson | 27.3 | 37.7 | 32.5 | 15.4 | |
556 | geoffblaber | 27.3 | 37.8 | 34.2 | 15.8 | |
557 | MWDAdvisors | 27.3 | 34.7 | 25.5 | 16.4 | |
558 | rwildeman | 27.2 | 36.9 | 21.8 | 15.4 | |
559 | smcleish | 27.2 | 37.5 | 27.4 | 15.7 | |
560 | kimknickle | 27.2 | 32.7 | 26.6 | 14.4 | |
561 | DougWilliamsMHD | 27.2 | 31.8 | 31.9 | 14.7 | |
562 | jgownder | 27.2 | 34.3 | 27.6 | 15 | |
563 | jonathansteel | 27.2 | 37.2 | 28.7 | 15.3 | |
564 | zapthink | 27.2 | 32.2 | 17.7 | 15.1 | |
565 | ChristineChang | 27.2 | 37.2 | 19.9 | 18.4 | |
566 | diane_clarkson | 27.1 | 40.2 | 23.6 | 16.1 | |
567 | BenBajarin | 27.1 | 26.9 | 27.5 | 13.2 | |
568 | P_Wannemacher | 27.1 | 30.3 | 29.4 | 15.5 | |
569 | treerao | 27 | 31.3 | 41.5 | 14.7 | |
570 | wfz | 26.9 | 32 | 6.2 | 13.7 | |
571 | JonCrotty | 26.9 | 32.7 | 8.4 | 13.5 | |
572 | Richard_Fouts | 26.8 | 35.9 | 24 | 14.9 | |
573 | itstorage | 26.8 | 37.5 | 32.2 | 15.4 | |
574 | pyramidresearch | 26.8 | 39.6 | 5.9 | 15.7 | |
575 | TedSchadler | 26.7 | 42.6 | 21.9 | 17.1 | |
576 | sebastiancoss | 26.7 | 33.7 | 22.3 | 17.6 | |
577 | jimlmurph | 26.7 | 40 | 23.1 | 15.7 | |
578 | IDCPortugal | 26.7 | 27.8 | 21.6 | 13.7 | |
579 | davidmsmith | 26.7 | 38.6 | 27 | 15.7 | |
580 | RichBohn | 26.6 | 40.7 | 9.2 | 14.6 | |
581 | IDCLatin | 26.6 | 36.9 | 5.5 | 15 | |
582 | HW_Support | 26.5 | 33.1 | 25.8 | 14.7 | |
583 | bgassman | 26.5 | 39.8 | 27.8 | 16.1 | |
584 | ITAnalysis | 26.5 | 28.9 | 23.8 | 13.3 | |
585 | jbozman | 26.5 | 34.4 | 5.5 | 14.5 | |
586 | domdupuis | 26.5 | 28.1 | 26.8 | 13.4 | |
587 | emilynaglegreen | 26.4 | 37.1 | 25.7 | 17.3 | |
588 | jonarber | 26.4 | 27.2 | 38.5 | 13.5 | |
589 | CCSInsight | 26.3 | 38.7 | 23.3 | 15.5 | |
590 | SaaSpro | 26.2 | 37.8 | 22.3 | 15.4 | |
591 | IDEASCP | 26.2 | 26.3 | 17.1 | 15 | |
592 | barryparr | 26.2 | 38.7 | 27.1 | 15.5 | |
593 | DortchAtFocus | 26.2 | 28.4 | 31.1 | 13.3 | |
594 | tombitt | 26.1 | 40.6 | 33.5 | 16.4 | |
595 | ABIresearch | 26.1 | 39.4 | 2.9 | 16 | |
596 | davecapp | 26.1 | 34.1 | 24.3 | 14.5 | |
597 | wmcneill | 26.1 | 36.5 | 22.9 | 14.6 | |
598 | JoeGalvin | 26 | 36.7 | 24.1 | 14.9 | |
599 | jenbelissent | 26 | 37.5 | 26.4 | 15.3 | |
600 | versace57 | 26 | 28.9 | 30.2 | 13.3 | |
601 | wkernochan | 26 | 28.6 | 50.1 | 13.9 | |
602 | tcorbo | 26 | 35.7 | 24.7 | 14.6 | |
603 | creativestrat | 26 | 29.9 | 16.5 | 15.5 | |
604 | scottsantucci | 26 | 36.4 | 22.5 | 14.9 | |
605 | tarzey | 26 | 34.9 | 41.7 | 14.5 | |
606 | jeffheynen | 25.9 | 35.1 | 26.9 | 14.6 | |
607 | cborovick | 25.9 | 36.6 | 23.4 | 14.7 | |
608 | adelesage | 25.8 | 35.8 | 26.6 | 15.1 | |
609 | Informatm | 25.8 | 35.7 | 19.2 | 15.1 | |
610 | MWardley | 25.7 | 33.3 | 24.1 | 14.4 | |
611 | ericdomage | 25.7 | 30.2 | 23.7 | 13.8 | |
612 | angie_p | 25.7 | 33.2 | 31.8 | 14.1 | |
613 | paula_rosenblum | 25.7 | 33.4 | 40.9 | 14.5 | |
614 | whita | 25.7 | 34.6 | 33.9 | 14.6 | |
615 | ABI_MobileNW | 25.7 | 33 | 21.4 | 14.6 | |
616 | bpmfocus | 25.7 | 38.4 | 23.8 | 15.6 | |
617 | vernonxt | 25.5 | 35.9 | 18.8 | 14.8 | |
618 | mdecastro | 25.4 | 34.7 | 25.2 | 14.2 | |
619 | jeffkagan | 25.4 | 41.2 | 26.6 | 14.7 | |
620 | LizBoehm | 25.4 | 32.3 | 25.8 | 14.3 | |
621 | aaronmcpherson | 25.4 | 34.4 | 26.9 | 14.3 | |
622 | danbarlev | 25.3 | 29.1 | 27.5 | 12.7 | |
623 | TheEbizWizard | 25.3 | 33.9 | 28.5 | 14.1 | |
624 | gphifer | 25.3 | 38.7 | 4.8 | 14.9 | |
625 | tracresearch | 25.3 | 33.1 | 28.2 | 13.7 | |
626 | gcoimbra | 25.2 | 29.7 | 27.3 | 13.1 | |
627 | lcannell | 25.2 | 32.7 | 27.9 | 13.8 | |
628 | christinaylee | 25.2 | 31 | 35.5 | 13.6 | |
629 | SW_Support | 25.2 | 32.3 | 25.6 | 13.8 | |
630 | duncanwjones | 25.2 | 28.5 | 27.6 | 15.1 | |
631 | pete_lacey | 25.2 | 29 | 25.9 | 13 | |
632 | AiteGroup | 25.2 | 35.9 | 27.2 | 14.7 | |
633 | acschmidt | 25.2 | 32 | 24.1 | 13.7 | |
634 | SaaSEurope | 25.1 | 34.3 | 24.6 | 14.5 | |
635 | marylaplante | 25.1 | 31.6 | 4.4 | 14.1 | |
636 | jamesbrehm | 25.1 | 34.6 | 20.9 | 14.1 | |
637 | tobybell | 25.1 | 36.6 | 45.5 | 14.7 | |
638 | dianemyers | 25.1 | 34.4 | 24.1 | 14.1 | |
639 | NancyJami | 25 | 32.8 | 23.9 | 13.5 | |
640 | clayryder | 25 | 25.5 | 18.4 | 12.4 | |
641 | miravperry | 25 | 34.5 | 28.1 | 14 | |
642 | Aberdeen_HCM | 24.9 | 40.1 | 21 | 15.2 | |
643 | WiseGreyOwl | 24.9 | 34.2 | 28.1 | 14.3 | |
644 | shauncollins | 24.9 | 35.7 | 22.3 | 14 | |
645 | tjennings | 24.8 | 36.2 | 33.5 | 14.6 | |
646 | karenmassey | 24.8 | 35 | 28.3 | 14.2 | |
647 | DouglasHayward | 24.8 | 31.4 | 21.3 | 13.2 | |
648 | bswtelecom | 24.8 | 35.8 | 21.1 | 14.3 | |
649 | RJWitty4Gartner | 24.8 | 34 | 22.3 | 14.2 | |
650 | DavidJWest | 24.7 | 37.3 | 5.1 | 14.6 | |
651 | Bajarin | 24.7 | 34.9 | 3.7 | 14.3 | |
652 | pallega | 24.7 | 30.5 | 28.5 | 13.8 | |
653 | coverby | 24.6 | 34.4 | 32.6 | 14.3 | |
654 | sbalaouras | 24.6 | 40.2 | 21.5 | 15.4 | |
655 | prussom | 24.5 | 35.6 | 21.4 | 14.9 | |
656 | Tiffani_Bova | 24.5 | 36.5 | 21 | 14.6 | |
657 | alexcullen | 24.5 | 38.4 | 19.5 | 15.3 | |
658 | ShivBakhshi | 24.5 | 36.3 | 2.6 | 14.5 | |
659 | josiesephton | 24.4 | 32.4 | 25.9 | 13.4 | |
660 | skingstone | 24.4 | 35.1 | 29.1 | 14.6 | |
661 | DaveBoulanger | 24.4 | 40.5 | 28 | 14.2 | |
662 | cchristiansen | 24.3 | 35.6 | 5.9 | 13.8 | |
663 | rdkugelvr | 24.3 | 31.4 | 22.6 | 13.1 | |
664 | tonyiams | 24.3 | 32.7 | 22.7 | 13.5 | |
665 | ltabb | 24.3 | 37 | 15.9 | 14.9 | |
666 | marksdriver | 24.3 | 35.3 | 3.7 | 14 | |
667 | emmaking_escp | 24.3 | 34.4 | 31.9 | 13.8 | |
668 | melindaballou | 24.3 | 31.1 | 23.1 | 13.4 | |
669 | DanVesset | 24.2 | 33.5 | 22.7 | 14 | |
670 | simonrob451 | 24.2 | 31.5 | 27.2 | 13.6 | |
671 | MaryJTurner | 24.2 | 33.8 | 23.9 | 13.8 | |
672 | rambadri | 24.1 | 29 | 32.7 | 13 | |
673 | tim_shepherd | 24.1 | 37.2 | 16.3 | 14.4 | |
674 | fjhr | 24.1 | 34.1 | 3.7 | 13.8 | |
675 | bobbymuhlhausen | 24.1 | 32.3 | 29 | 13.3 | |
676 | EinatShimoni | 24.1 | 32.8 | 26.5 | 13.3 | |
677 | julie_craig | 24 | 31.6 | 18.5 | 13.8 | |
678 | cjones1405 | 24 | 35.1 | 18 | 14 | |
679 | VicGart | 24 | 32.7 | 21.7 | 13.6 | |
680 | bolarotibi | 23.9 | 30.8 | 27.4 | 12.9 | |
681 | komarah | 23.9 | 38.5 | 19 | 14.7 | |
682 | danolds | 23.9 | 30.3 | 18.5 | 12.9 | |
683 | LaurenEcks | 23.9 | 29.8 | 24.9 | 12.5 | |
684 | ChrisFletcher | 23.9 | 36.5 | 21.2 | 14.1 | |
685 | BLheureux | 23.9 | 30.4 | 27.6 | 14.8 | |
686 | wzhou | 23.8 | 31.2 | 23.5 | 12.9 | |
687 | DellOroGroup | 23.8 | 42 | 19.4 | 15.8 | |
688 | iTGuru | 23.8 | 36.7 | 2.9 | 16.2 | |
689 | dlogiudice | 23.8 | 30.7 | 22.2 | 12.9 | |
690 | TPI_News | 23.8 | 36.2 | 22.6 | 14.3 | |
691 | StephenB_TG | 23.7 | 30.2 | 22.6 | 13.1 | |
692 | SimonYates | 23.7 | 36.4 | 25.3 | 14.6 | |
693 | PierManenti | 23.7 | 29.8 | 23.5 | 12.6 | |
694 | pdebeasi | 23.7 | 36.2 | 19 | 14.1 | |
695 | drchrisholmes | 23.6 | 25.1 | 18.8 | 13.6 | |
696 | Bloor_Research | 23.6 | 34.1 | 0 | 14.3 | |
697 | atwalls | 23.6 | 26.6 | 25.3 | 12 | |
698 | DavidMercer_SA | 23.5 | 31.4 | 19 | 13.1 | |
699 | MiriamKutcher | 23.5 | 34.6 | 26.2 | 13.7 | |
700 | JackieFenn | 23.4 | 37.9 | 2.9 | 14.5 | |
701 | Stuart_Robinson | 23.4 | 28.8 | 21.6 | 13.9 | |
702 | hwdewing | 23.4 | 30.5 | 22.1 | 13 | |
703 | DaveEckert | 23.4 | 34.6 | 24.5 | 13.8 | |
704 | IDCconferences | 23.4 | 29.4 | 18.9 | 12.7 | |
705 | Quocirca | 23.3 | 33.3 | 20.7 | 13.8 | |
706 | lesliehand | 23.3 | 32 | 22.7 | 13.2 | |
707 | Experton | 23.3 | 33.8 | 6.6 | 13.1 | |
708 | lizherbert | 23.3 | 39.9 | 17.4 | 15.1 | |
709 | jackzimmerman | 23.2 | 32.7 | 19.1 | 13 | |
710 | Whiterope | 23.2 | 28.9 | 18.1 | 12.4 | |
711 | monkchipsconf | 23.2 | 29.1 | 24.9 | 12.5 | |
712 | ramonkrikken | 23.2 | 25.9 | 38.2 | 12.4 | |
713 | dfloyer | 23.1 | 31.5 | 4 | 12.9 | |
714 | KimballBrown | 23.1 | 32.6 | 31 | 12.9 | |
715 | s2_williams | 23 | 27.2 | 19.1 | 11.8 | |
716 | chrismines | 23 | 34.6 | 39.5 | 14.1 | |
717 | zStorageAnalyst | 23 | 30.2 | 31.2 | 13.3 | |
718 | illuminata_inc | 23 | 33.7 | 23.3 | 14.2 | |
719 | Display_Market | 23 | 29.6 | 21.3 | 12.6 | |
720 | tpohlmann | 22.9 | 33.6 | 27.3 | 13.6 | |
721 | Staggmacey | 22.9 | 34.2 | 20.4 | 13.6 | |
722 | dsholler | 22.9 | 21.2 | 19.1 | 10.8 | |
723 | chrisandrews50 | 22.9 | 29.6 | 28.2 | 13.2 | |
724 | SeanPODowd | 22.9 | 32.3 | 21.4 | 13 | |
725 | Joshkrischer | 22.9 | 29.6 | 28.2 | 12.6 | |
726 | m2mcguire | 22.7 | 36 | 16.6 | 13.7 | |
727 | gerrybrown | 22.7 | 35 | 15.1 | 13.5 | |
728 | RadicatiGroup | 22.7 | 29.3 | 25 | 13 | |
729 | 140letters1idea | 22.6 | 28.4 | 23.6 | 11.9 | |
730 | gdschreck | 22.5 | 37.5 | 42.4 | 14.8 | |
731 | Candefero | 22.5 | 31.9 | 16.4 | 12.2 | |
732 | OvumButlerBI | 22.5 | 36 | 2.2 | 14 | |
733 | wstofega | 22.4 | 33.3 | 4 | 13 | |
734 | tomaustin | 22.4 | 34.1 | 24.4 | 13.6 | |
735 | jneeson | 22.4 | 33.9 | 7 | 12.4 | |
736 | IDCevents | 22.3 | 35.3 | 30.4 | 13.7 | |
737 | allymotz | 22.3 | 30.3 | 5.5 | 12.1 | |
738 | Nimblepm | 22.3 | 27.2 | 4 | 11.9 | |
739 | nariv | 22.3 | 28.5 | 18.7 | 12 | |
740 | fab_biscotti | 22.2 | 39.2 | 26.5 | 14.9 | |
741 | BradleyAnthonyJ | 22.1 | 36.3 | 2.6 | 13.9 | |
742 | tolvet | 22.1 | 29.3 | 18.8 | 12.1 | |
743 | informatm_pr | 22 | 27.6 | 23.4 | 11.6 | |
744 | dkerrsa | 22 | 28.8 | 20.6 | 12.3 | |
745 | ElainebColeman | 22 | 27.1 | 20.6 | 11.3 | |
746 | 408wij | 21.9 | 26.1 | 19.9 | 11.1 | |
747 | RobertEParker | 21.9 | 30.3 | 18.9 | 12.2 | |
748 | DHSchoolar | 21.9 | 22.7 | 27.3 | 10.7 | |
749 | robhelm | 21.9 | 34.1 | 18.1 | 13 | |
750 | BI_Hatch | 21.9 | 32.8 | 20.2 | 12.6 | |
751 | habeel | 21.9 | 26.6 | 28.9 | 11.2 | |
752 | mark_diodati | 21.8 | 31.5 | 4.4 | 12.9 | |
753 | SeanRyanAnalyst | 21.8 | 29.9 | 5.5 | 11.9 | |
754 | danagould | 21.8 | 33.5 | 26.9 | 13 | |
755 | ynatis | 21.7 | 34.8 | 21.6 | 13.7 | |
756 | vbaker | 21.7 | 35.4 | 4 | 13.3 | |
757 | meredithwhalen | 21.7 | 32.7 | 5.5 | 17.3 | |
758 | PNARICH | 21.7 | 30.4 | 20.9 | 12.3 | |
759 | jones_rd | 21.7 | 25.9 | 19 | 11.9 | |
760 | Jezzagreen | 21.6 | 30 | 4 | 12.1 | |
761 | SEB4IDC | 21.6 | 31 | 20.9 | 12.7 | |
762 | c_egge | 21.6 | 28.5 | 29.4 | 12 | |
763 | pinicohen | 21.6 | 29.1 | 17.6 | 12.1 | |
764 | ChrisLRichmond | 21.5 | 23.5 | 27.9 | 12.2 | |
765 | fpignatti | 21.4 | 27.1 | 20.7 | 11.3 | |
766 | jscaramella | 21.3 | 32.1 | 19.8 | 12.9 | |
767 | smbresearch | 21.3 | 25.2 | 20.2 | 10.7 | |
768 | the_big_pic | 21.3 | 33.6 | 20.1 | 12.9 | |
769 | amywohl | 21.3 | 35.7 | 15.1 | 13.4 | |
770 | peterostrow | 21.3 | 39.4 | 19.8 | 14.2 | |
771 | iriches | 21.3 | 27.4 | 21.9 | 11.4 | |
772 | benpiper_sa | 21.2 | 25 | 20.6 | 10.8 | |
773 | dharringto | 21.1 | 30.4 | 4.4 | 11.9 | |
774 | rodnelsestuen | 21 | 28.2 | 20.3 | 11.7 | |
775 | richardwinter | 21 | 34.3 | 8.4 | 12.1 | |
776 | ABI_Devices | 20.9 | 33.3 | 4 | 13 | |
777 | ABI_MobConsumer | 20.9 | 29.3 | 20.2 | 12 | |
778 | Steve_Cramoysan | 20.9 | 31.1 | 33 | 12.6 | |
779 | richvancil | 20.8 | 29.9 | 17.7 | 12 | |
780 | logicalleap | 20.8 | 28.1 | 28.2 | 12.2 | |
781 | jarekknapik | 20.8 | 27 | 19.1 | 11.1 | |
782 | ABI_MobileMoney | 20.8 | 27.7 | 18.7 | 11.7 | |
783 | vokeinc | 20.7 | 28.1 | 5.5 | 11.3 | |
784 | orrtechnology | 20.7 | 26 | 0 | 11.4 | |
785 | georgetubin | 20.7 | 26.2 | 19.8 | 10.9 | |
786 | AlexandraKim | 20.7 | 37.2 | 5.5 | 13 | |
787 | richardawebb | 20.6 | 29.5 | 16.2 | 13.4 | |
788 | DennisGaughan | 20.6 | 35.1 | 19.6 | 13 | |
789 | plburris | 20.5 | 38.5 | 11.5 | 14.2 | |
790 | TekStrategist | 20.5 | 30.3 | 15.1 | 11.8 | |
791 | chrisvoce | 20.5 | 34.5 | 22.9 | 13.2 | |
792 | sgrant1974 | 20.4 | 29.6 | 18 | 11.6 | |
793 | mcnabb_kyle | 20.4 | 35.1 | 29.7 | 13.6 | |
794 | alaasaayed | 20.3 | 27.9 | 18.1 | 10.6 | |
795 | peterschay | 20.3 | 27.1 | 20.1 | 11 | |
796 | maureencfleming | 20.2 | 31.2 | 54.3 | 13 | |
797 | DaveReinsel | 20.2 | 34.5 | 18.5 | 12.7 | |
798 | KenPresti | 20.2 | 31.5 | 21.9 | 12 | |
799 | CXP | 20.2 | 32.2 | 6.6 | 11.7 | |
800 | galitfein | 20.1 | 28.6 | 2.9 | 11.3 | |
801 | SamDriver | 19.9 | 31.4 | 19.9 | 12.3 | |
802 | RCMcDowall | 19.9 | 23.1 | 12 | 10.3 | |
803 | andrew_dun | 19.9 | 29.8 | 18.1 | 11.6 | |
804 | AlexPForrester | 19.9 | 28.1 | 21.8 | 11.3 | |
805 | steve_pr | 19.8 | 34.2 | 3.7 | 12.5 | |
806 | scottpezza | 19.8 | 30.4 | 23.5 | 11.8 | |
807 | ian_wesley | 19.7 | 24.4 | 59.6 | 11.4 | |
808 | Chris451mobile | 19.7 | 30.9 | 23.5 | 12 | |
809 | AnalyzeIT_ | 19.6 | 27.7 | 21.6 | 11.1 | |
810 | mbcxp | 19.6 | 29.6 | 19.5 | 12 | |
811 | LSileo | 19.6 | 29.9 | 23.3 | 11.5 | |
812 | richpartridge | 19.5 | 28.6 | 19.3 | 11.4 | |
813 | ABI_LBS | 19.5 | 25 | 17.3 | 10.4 | |
814 | fhalper | 19.5 | 34.2 | 5.5 | 12.2 | |
815 | susanealdrich | 19.5 | 26.3 | 31.2 | 11 | |
816 | IDCAP | 19.4 | 34.6 | 16.7 | 13 | |
817 | CSLeClair | 19.2 | 29.3 | 3.7 | 11.4 | |
818 | Cliff_Condon | 19.2 | 25.5 | 57.6 | 11.9 | |
819 | InventoryTrack | 19.2 | 29.2 | 15.1 | 11.3 | |
820 | ForresterTel | 19.1 | 25.1 | 25.4 | 10.4 | |
821 | KHarrisFerrante | 19.1 | 28.1 | 15.7 | 11.2 | |
822 | ekirchheimer | 19.1 | 34 | 62.7 | 13.4 | |
823 | bholmes3 | 18.9 | 33.6 | 18.1 | 12.7 | |
824 | Bala_Ganesh | 18.9 | 34.3 | 21.1 | 12.5 | |
825 | ddaoud | 18.8 | 31.6 | 4.8 | 11.5 | |
826 | jonathangaw | 18.8 | 30.7 | 20.8 | 11.6 | |
827 | dangeiger | 18.8 | 27.7 | 17.5 | 10.6 | |
828 | Dansommer | 18.8 | 31.3 | 40.3 | 12.3 | |
829 | abicarlaw | 18.7 | 37 | 2.9 | 12.9 | |
830 | jnoelatpna | 18.6 | 29 | 14.9 | 11.5 | |
831 | robertmcneill | 18.6 | 28.5 | 16 | 10.6 | |
832 | delotto4gartner | 18.6 | 30.7 | 14.2 | 12 | |
833 | brian__burke | 18.5 | 32.8 | 19.7 | 12.2 | |
834 | hchaight | 18.4 | 37.4 | 13.7 | 13.7 | |
835 | timcoulling | 18.4 | 34.6 | 12.6 | 12.3 | |
836 | rwa_ca | 18.4 | 34.7 | 4 | 12 | |
837 | jw_harris | 18.4 | 24 | 18.7 | 10 | |
838 | ABI_DigitalHome | 18.3 | 30.4 | 19.8 | 11.8 | |
839 | btulsiani | 18.3 | 33.4 | 14.3 | 12 | |
840 | Schoolcw | 18.3 | 27.7 | 3.3 | 10.7 | |
841 | ABI_M2M | 18.3 | 29.3 | 14.9 | 11.4 | |
842 | nbelanger | 18.3 | 32.9 | 22.3 | 11.7 | |
843 | AlastairE | 18.2 | 34 | 16.5 | 11.9 | |
844 | dmolony | 18.1 | 22.7 | 16.7 | 9.8 | |
845 | PhoneResearchMK | 18.1 | 24.3 | 20.6 | 9.8 | |
846 | richardmahony | 18.1 | 27.3 | 20.7 | 10.8 | |
847 | PamelaCDInforma | 18 | 27 | 18.8 | 10.6 | |
848 | itinsurancegeek | 18 | 26.6 | 17.6 | 10.9 | |
849 | bburke25 | 17.9 | 28.3 | 21.1 | 10.7 | |
850 | jonpaisner | 17.9 | 29.2 | 19.1 | 10.9 | |
851 | susanfeldman | 17.9 | 35.3 | 13.7 | 12.6 | |
852 | kathywilhide | 17.9 | 34.7 | 16.3 | 12 | |
853 | rstrohmenger | 17.8 | 24.2 | 26.4 | 10.4 | |
854 | dcearley | 17.8 | 33.9 | 4 | 11.8 | |
855 | NERSKINE | 17.8 | 33.4 | 21.6 | 11.9 | |
856 | paolopescatore | 17.7 | 35.8 | 17.5 | 12.6 | |
857 | susananalyst | 17.7 | 26.1 | 6.6 | 9.8 | |
858 | BeanBoston | 17.7 | 37.1 | 5.5 | 12 | |
859 | mjball | 17.6 | 34.3 | 4.4 | 11.6 | |
860 | tfoydel | 17.6 | 23.9 | 15.8 | 10 | |
861 | HenryCorp | 17.6 | 14.2 | 40.7 | 7.7 | |
862 | wrishel | 17.6 | 35.1 | 18.3 | 12.3 | |
863 | ForresterEvents | 17.6 | 24.5 | 25.8 | 9.9 | |
864 | frankgillett | 17.5 | 24.8 | 27.6 | 9.9 | |
865 | ehigdon | 17.5 | 33.3 | 23.9 | 12.2 | |
866 | judytsweeney | 17.5 | 24 | 12.2 | 9.5 | |
867 | emilyvanmetre | 17.5 | 32.5 | 17.6 | 11.4 | |
868 | janetwaxman | 17.5 | 32.2 | 44.1 | 12.1 | |
869 | Jim_Burton | 17.4 | 27.9 | 24 | 10.8 | |
870 | cschreinerNY | 17.4 | 23.2 | 17.4 | 9.5 | |
871 | rh_forrester | 17.4 | 29.2 | 19.2 | 11.5 | |
872 | Jeff_Orr | 17.3 | 24.4 | 3.7 | 9.5 | |
873 | Brazingo | 17.3 | 33.8 | 5.1 | 11.6 | |
874 | jcstrategyanaly | 17.2 | 22.3 | 4.4 | 9 | |
875 | keithdawson | 17.2 | 26.3 | 21.5 | 10.1 | |
876 | Roopamjain | 17.1 | 31.1 | 17 | 11 | |
877 | zthomas | 17.1 | 34.7 | 5.5 | 11.4 | |
878 | BobOffutt | 17.1 | 26.2 | 29.2 | 10.8 | |
879 | gilescottle | 17 | 22.1 | 29 | 9.6 | |
880 | tdegennaro | 16.9 | 27.7 | 3.3 | 10 | |
881 | venecialiu | 16.8 | 32.7 | 4.4 | 11.2 | |
882 | ToleHart | 16.6 | 35.6 | 1.1 | 12.2 | |
883 | ABI_CleanTel | 16.5 | 24.1 | 15.9 | 9.9 | |
884 | MesabiGroup | 16.5 | 27.4 | 13 | 10.5 | |
885 | SGalvino | 16.4 | 28.7 | 27.8 | 10.5 | |
886 | NicoleDufft | 16.4 | 33.5 | 12.2 | 11.4 | |
887 | lafleche | 16.3 | 31 | 14.7 | 11 | |
888 | NadineManjaro | 16.2 | 34.8 | 3.7 | 11.5 | |
889 | hmorrisidc | 16.2 | 32.3 | 12.5 | 11.8 | |
890 | joshuaholbrook | 16.1 | 24 | 3.7 | 9.3 | |
891 | ajglawrie | 16.1 | 31.5 | 10 | 11.7 | |
892 | emilyriley62 | 16.1 | 26 | 23.5 | 10.1 | |
893 | rcontu | 16 | 32.5 | 3.7 | 11.2 | |
894 | cnxcnx | 15.9 | 30.4 | 15.3 | 10.6 | |
895 | Monikino | 15.8 | 21.5 | 2.9 | 8.5 | |
896 | ivanoortis | 15.7 | 24.9 | 15.4 | 9.8 | |
897 | AndyGLawrence | 15.7 | 27.5 | 2.9 | 9.8 | |
898 | b_worthington | 15.6 | 26.7 | 2.9 | 9.4 | |
899 | kquadri | 15.5 | 23.2 | 5.1 | 8.5 | |
900 | s_hendrick | 15.4 | 26.4 | 3.3 | 9.7 | |
901 | hellojackson | 15.3 | 22.2 | 17.6 | 8.3 | |
902 | MobileAnn | 15.1 | 32.1 | 2.6 | 10.9 | |
903 | c_green_ | 15.1 | 21.3 | 20 | 8.5 | |
904 | LiamMcGlynn | 15.1 | 31.1 | 2.2 | 10 | |
905 | SWdeG | 15.1 | 25 | 3.7 | 9.2 | |
906 | k1fwe | 15 | 29.7 | 2.2 | 10.2 | |
907 | peteroconnor | 15 | 23.9 | 61.6 | 9.9 | |
908 | billmcnee | 15 | 31.1 | 16.2 | 11.1 | |
909 | wintergreen40 | 15 | 20 | 3.3 | 7.9 | |
910 | maryknox | 14.9 | 34.2 | 3.7 | 11.1 | |
911 | vbough | 14.8 | 24.6 | 3.7 | 9 | |
912 | ellenmcarney | 14.8 | 35.7 | 3.3 | 11.6 | |
913 | twerner1952 | 14.8 | 37.3 | 17.3 | 11.9 | |
914 | neilstrother | 14.7 | 24.7 | 21 | 9.5 | |
915 | CXPcmdv | 14.7 | 19.9 | 3.3 | 8 | |
916 | hmanning | 14.6 | 34.7 | 0 | 11.8 | |
917 | dariotalmesio | 14.6 | 22.2 | 5.1 | 8 | |
918 | jpops123 | 14.5 | 30.2 | 12.3 | 9.9 | |
919 | SteveHodgkinson | 14.4 | 27.2 | 12.9 | 9.8 | |
920 | ndrakos | 14.3 | 33.4 | 0 | 11.5 | |
921 | bill_doyle | 14.3 | 34.3 | 3.7 | 11 | |
922 | altimetergroup | 14.2 | 32.9 | 21 | 11.7 | |
923 | IDC_Cloud | 14.1 | 34.3 | 12.1 | 11.8 | |
924 | dwaldt | 14.1 | 28.7 | 2.9 | 9.7 | |
925 | bguptill | 13.9 | 23.1 | 19.6 | 8.9 | |
926 | mbailey316 | 13.9 | 30.8 | 3.7 | 10.1 | |
927 | FranNL | 13.6 | 24.3 | 15.8 | 8.5 | |
928 | ianbirks | 13.6 | 20.4 | 2.9 | 9 | |
929 | sunsuvradeep | 13.5 | 15.2 | 60.4 | 7.8 | |
930 | sradicati | 13.5 | 24.8 | 18 | 9.4 | |
931 | sfeinberg132 | 13.4 | 23.2 | 17.4 | 8.5 | |
932 | CarrollRheem | 13.4 | 25.1 | 27.7 | 9.4 | |
933 | ABI_BUSMOBILITY | 13.3 | 26.4 | 15.9 | 9.4 | |
934 | angelabeckers | 13.1 | 24.5 | 2.2 | 8.9 | |
935 | CarlClaunch | 13.1 | 23.5 | 18 | 9.4 | |
936 | drthomasmendel | 13 | 29.5 | 11.6 | 9.8 | |
937 | varunsedov | 12.9 | 16.2 | 21.6 | 6.7 | |
938 | ClabbyAnalytics | 12.9 | 22.3 | 11.7 | 7.7 | |
939 | ellendaley | 12.8 | 30.7 | 16.6 | 10.1 | |
940 | philkendall | 12.8 | 10.7 | 16.7 | 5.2 | |
941 | cynick | 12.7 | 21.4 | 1.1 | 8.2 | |
942 | anogee | 12.6 | 29 | 20.1 | 10.2 | |
943 | securitynigel | 12.6 | 19 | 19 | 7.3 | |
944 | JustinSearles | 12.6 | 27.8 | 15.7 | 8.8 | |
945 | clausbmortensen | 11.8 | 22 | 14.1 | 7.9 | |
946 | ericbrown_forr | 11.7 | 24.2 | 16.6 | 8.6 | |
947 | Marc6Sargent | 11.5 | 33.9 | 2.9 | 10.1 | |
948 | gartner_aadi | 11.4 | 23.7 | 0.4 | 8 | |
949 | LCD_Market | 11.4 | 30.5 | 2.2 | 9.4 | |
950 | jmorency1952 | 11.4 | 29.7 | 0.7 | 9.6 | |
951 | sudin_apte | 11.3 | 23.3 | 10.3 | 8.1 | |
952 | martingarner | 11.2 | 31.8 | 5.1 | 8.8 | |
953 | martinreynolds | 11.1 | 31.2 | 1.5 | 9.6 | |
954 | GartnerBI_CRO | 10.9 | 29.2 | 2.9 | 9 | |
955 | kfbrant | 10.8 | 20.7 | 21.1 | 7.7 | |
956 | steve_brazier | 10.7 | 32.9 | 2.9 | 9.5 | |
957 | lnurzynski | 10.6 | 21.6 | 19.3 | 6.7 | |
958 | dszubert | 10.6 | 31.5 | 3.3 | 8.8 | |
959 | smingay | 10.5 | 31.4 | 2.2 | 9.5 | |
960 | susanmcneice | 10.3 | 23.1 | 2.2 | 7.7 | |
961 | gdeb40 | 10.3 | 30.2 | 0.4 | 9 | |
962 | davidwang | 10.2 | 17.1 | 10.4 | 6.3 | |
963 | Lussanet | 10.1 | 30.8 | 2.2 | 9.2 | |
964 | cmilanesi | 10 | 31.3 | 0 | 9.8 | |
965 | ChrisGood | 9.9 | 31.1 | 2.9 | 8.4 | |
966 | rglaz | 9.8 | 23.1 | 3.7 | 7.4 | |
967 | rsallam | 9.6 | 30 | 2.2 | 8.7 | |
968 | Pfirstbrook | 9.6 | 29.5 | 2.6 | 8.5 | |
969 | kilucas | 9.6 | 30.8 | 0.7 | 9.4 | |
970 | jake1306 | 9.5 | 22.3 | 4.8 | 6.7 | |
971 | ovum | 9.5 | 33.1 | 0 | 9.8 | |
972 | evaausalo | 9.4 | 19.3 | 20.7 | 7 | |
973 | JohnKatsaros | 9.3 | 28.1 | 2.9 | 8.1 | |
974 | cdgerm86 | 9.3 | 28.5 | 0.7 | 8.7 | |
975 | EricSiegel | 9.1 | 33 | 0 | 9.5 | |
976 | baldydubois | 9.1 | 22.9 | 1.5 | 7.4 | |
977 | IDC_Compliance | 9 | 27.6 | 0.4 | 8.5 | |
978 | lauramclellan | 9 | 29.7 | 0.7 | 8.9 | |
979 | cbyrnes | 9 | 30.4 | 0.4 | 9 | |
980 | MadihaAshour | 8.9 | 20.7 | 4.8 | 6.1 | |
981 | ritaeknox | 8.7 | 13.8 | 0.7 | 5.4 | |
982 | rebeccawetteman | 8.6 | 25.9 | 0.4 | 7.8 | |
983 | longhaus | 8.4 | 19.1 | 19.5 | 6.6 | |
984 | CuSe93 | 8.2 | 13.5 | 10.8 | 4.5 | |
985 | SimEllis | 8.2 | 19.9 | 3.7 | 6.2 | |
986 | selinnachin | 8.1 | 16.9 | 2.9 | 5.3 | |
987 | wpurvis | 8.1 | 20.1 | 4.8 | 5.7 | |
988 | ABIBurden | 7.9 | 22.1 | 2.2 | 6.8 | |
989 | marknemec | 7.7 | 27.3 | 0.4 | 7.9 | |
990 | mcantara | 7.7 | 20.3 | 4 | 5.8 | |
991 | Eddie_Radcliffe | 7.7 | 18.7 | 4 | 5.3 | |
992 | IMEXresearch | 7.6 | 24.1 | 2.2 | 6.7 | |
993 | DrBrianLambert | 7.6 | 13.1 | 15.2 | 4.7 | |
994 | Texas54 | 7.4 | 17.4 | 1.5 | 5.4 | |
995 | bergeay | 7.1 | 23.6 | 2.2 | 6.4 | |
996 | janeclabby | 6.9 | 17.2 | 2.9 | 5.3 | |
997 | ErrolRasit | 6.6 | 22.2 | 0 | 6.7 | |
998 | KenVollmer | 6.4 | 21.1 | 0 | 6.2 | |
999 | mktleader | 6.3 | 16.4 | 3.7 | 4.5 | |
1000 | MelanieAPosey | 6.1 | 19.1 | 3 | 5.6 |
Following – Twitter lists the number of people each user follows. The tendency for most celebrities is to only follow a few individuals. The more people that someone follows, there is an increased likelihood of them actively participating in conversations with the community instead of simply broadcasting to it. Following ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 30) that was used as part of the algorithm. Note: Twitter opened its API to TweetLevel so that data could be sourced easily and quickly to benefit the user.
Followers – Twitter lists the number of people that follow each user. Like subscribing to a feed, this is a clear indication of ‘popularity’ as it requires someone to actively request participation. Even though TweetLevel has a ranking of people based upon popularity, it is influence, engagement and trust that is more important. Due to the nature of logarithmic ranges, a change in the number of people that follow someone, such as from 500 – 1000, will give a far higher change in score than a move from 180K – 200K. Following ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 30) that was used as part of the algorithm. Note: Twitter opened its API to TweetLevel so that data could be sourced easily and quickly to benefit the user.
Since the initial creation of TweetLevel, we have now been able to incorporate Twitter Lists into this part of the algorithm. Someone’s follower score will increase depending upon the number of times a user is included in a list, the number of people who follow that list and the authority of those people.
Updates – How often does someone update what they are doing. This number is purely objective as it scores someone highly no matter what the content of their post (i.e. how relevant is it). Nevertheless it is assumed that if someone posts frequently but has poor content then their ‘followers’ will decrease. Update ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 30) that was used as part of the algorithm. Name Pointing – e.g. @name – How many people engage in conversation with a celebrity or point to their name. The clearest way to establish this is to run a search on the number of people who reference @username in a message. This calculation is based upon a one month period combined with a 24 hour period. The number of times this happens is calculated with each range was assigned a number (0 to 30) – again this was then used as part of the algorithm.
Retweets – Has a tweet caused sufficient interest that it is worth re-submitting by others? Despite a great deal of ‘noise’ (i.e. posts that are not relevant or interesting), when someone sees something that is of high interest, their post can be re-tweeted. The clearest way to establish this is to run a search on the number of people who reference RT @username in a message. This calculation is based upon a one month period combined with a 24 hour period. The number of times this happens is calculated with each range was assigned a number (0 to 50) – again this was then used as part of the algorithm.
Twitalyzer – “This is a unique (and online) tool to evaluate the activity of any Twitter user and report on relative influence, signal-to-noise ratio, generosity, velocity, clout, and other useful measures of success in social media.” This 3rd party tool is a useful method to combine automated metrics dependent upon criteria within posts and publicly available numbers. Where tools such as this are available, we incorporate them into the algorithm to achieve a more confident score. Twitalyzer gives users scores from 0 to 100. Ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.
Twitalyzer noise to signal ratio – Signal-to-noise ratio is a measure of the tendency for people to pass information, as opposed to anecdote. Signal can be references to other people (defined by the use of “@” followed by text), links to URLs you can visit (defined by the use of “http://” followed by text), hashtags you can explore and participate with (defined by the use of “#” followed by text), retweets of other people, passing along information (defined by the use of “rt”, “r/t/”, “retweet” or “via”). If you take the sum of these four elements and divide that by the number of updates published, you get the “signal to noise” ratio. Twitalyzer gives users scores from 0 to 100. Ranges were determined (i.e. more than 20, more than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.
Twinfluence Rank – Twinfluence is an automated 3rd party tool that uses APIs to measure influence. For example: “Imagine Twitterer1, who has 10,000 followers – most of which are bots and inactives with no followers of their own. Now imagine Twitterer2, who only has 10 followers – but each of them has 5,000 followers. Who has the most real “influence?” Twitterer2, of course.” As with Twitalyzer, this index uses 3rd party tools to add greater confidence in the overall Twitter score. Similar to the other criteria, ranges were determined (i.e. less than 20, less than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.
Twitter Grader – Twitter Grader is the final automated tool to add greater confidence to the final index. This site creates a score by evaluating a twitter profile. Similar to the other criteria, ranges were determined (i.e. less than 20, less than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.
Involvement Index – The Involvement Index is unique Edelman IP that calculates a score based upon how an individual engages with their community. It is calculated by analysing the content of an individual posts. People who score highest in this category have frequent, relevant, high-quality content that actively involved the twitter community (asking questions, posting links or commenting on discussions) and did not purely consist of broadcasting. Ranges were determined (i.e. less than 20, less than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.
Velocity Index – As more people engage on Twitter, it may become harder to keep activity going. The velocity index measures changes on a regular basis and assigns a score based on increased or decreased participation. Ranges were determined (i.e. less than 20, less than 30, etc.) and each range was assigned a number (0 to 20) that was used as part of the algorithm.
Weighting – Each specific variable listed above was given a standard score out of 10. Using a weighting scale I varied the importance of the each metric to establish an individual’s total score.
Weighted for Popularity – the key variable is the number of people someone has following them. There are many online tools that show this such as Twitterholic.
Weighted for Engagement – the key variables are an individual’s participation with the Twitter community (as measured by the Involvement Index), with additional emphasis on the frequency of people name pointing an individual (via @username), the numbers of followers and the signal to noise ratio. Other attributes were included in the final score but were given a lower weighting.
Weighted for Influence – the key variables in this instance is a combination of the number and authority of someone’s followers together with the frequency of people name pointing an individual (via @username) and the how many times and individuals posts are re-tweeted. Other attributes were included in the final score but were given a lower weighting.
Weighted for trust – the best measure of trust is whether an in individual is will to ‘trust’ what someone else has said sufficiently that they are also prepared to have what they tweeted associated with them. The key metric in this instance are a combination of retweets and number of followers. Other attributes were included in the final score but were given a lower weighting. In the true spirit of ‘open sourcing’ this work, I welcome your comments, views and criticisms in how this approach can be as accurate as possible. Whereas I don’t believe for one moment that TweetLevel has found the holy grail of social media measurement, I think it is a good step forward and look forward to discussing this with you.
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Filed under: social media | 23 Comments
I’m not a top anything, but I think my rank is about right when I look at all the people that I follow here. My one concern is that I think the Engagement ranking needs a bit of tweaking. I see a few twitter accounts with very few posts, but with very high engagement rankings, which makes it look like there’s some sort of rate-based ranking that supersedes volume.
Otherwise, it’s fascinating stuff and actually helps show me where I need to improve to be a better Twit. 😉 Thanks!
Hyoun
Interesting methodology – I’m curious how I rank if you add me (I’m new to the analyst role as of June, but active on the social media – @stu on Twitter). Note that @abnerg is now working for a vendor, no longer as an analyst. Have you considered using a list or directory where people could add/remove themselves? Options such as We Follow or Listorious are possibilities.
Cheers,
Stu
Wikibon
Congrats to all the analysts who made this list!
I would love to see an analyst relations and media relations TweetLevel list.
Is anyone developing this at Edelman?
Awesome post! there are quite a few people I wasn’t following on the list and whom I’m glad to discover.
Please add me, TweetLevel says I’m at 48.0.
I updated my bio and registered to Sage’s directory to reflect that I also analyze the industry.
Thanks,
Josh
Interesting post, interesting methodology. @itworks is an IT industry analyst here in Belgium but we are not in this worldwide list.
I have checked out where @itworks would be placed, and I am happy to see that you put me in the top-250, close to my good friend Michael @DorchonIT and the honorable @TonyByrne
Patrick @itworks Van Renterghem
Great post. Fun to see many of my friends so well represented. Would enjoy seeing how I would fair. Please add @shawnrog
Shawn Rogers
VP Research – Business Intelligence
Enterprise Management Associates
Hi Jonny – very cool list, and as an x-Yankee guy from mid-90’s it’s interesting to see how the ‘new-age’ firms (Altimeter, Econsultancy etc) compare to the old-school firms.
Can you add me to your updated list as well – I’m a 41.0 on TweetLevel, and still do advisory work for a number of vendors and corp clients, blog at http://abonde.typepad.com/blog, and turn out a few white papers now and then, while also helping to start-up Offerpop.
thanks!
Allen
twitter.com/abonde
http://www.EvokeCRM.com
PS: I also had a ZX81…and an Atari 800 back in the day 🙂
Thanks for the work involved in this exercise. I know it takes a lot of time to do this.
Your formula is pretty complicated. If I used something like that in a report clients and my editors would be complaining.
The key, I think, is to balance how much you talk and converse with actually having something to say. (That comes from research.)
Thanks everyone for your comments – really appreciate it. A few responses:
@dahowlett @avigreengart @stu @itworks @shawnrog @abonde @JoshNursing – am updating the list with your names – thanks for letting me know.
Hyoun – you are right, the engagement score is worked out with a multitude of factors beyond volume.
Stephen – I will publish an AR version of this next month. Should be interesting 🙂
Josh – as it happens the formula is all about being transparent. I can’t stand measurement tools that purely focus on popularity so have tried to be as open as possible about the inner works of how tweetlevel works. There is some real science and hard-core maths behind this if you want to dig deeper.
Thanks for the work on this list and for including me. Also a good resource to easily explore new folks to follow!
Jonny, I’m sure it’s a complicated equation for engagement, but when the result says that ekirchheimer, maureencfleming, Cliff_Condon, ian_wesley, peteroconnor, and sunsuvradeep are all more “engaged” than Jeremiah Owyang when Jeremiah has 10x the twitter engagement and posts of all of the rest combined, it sticks out. Cliff is a great analyst in many ways, but I don’t think his Twitter account is what he’s best known for.
It’s still the best tool of measurement that we have for this, but there is something in the engagement scoring that doesn’t ring true the same way that the other areas do.
Hyoun
You raise an interesting point and one that is crucial to understanding TweetLevel.
What is key is how someone engages recently within micro-communities. it is more important to grasp how someone has conversations within their niche rather than just broadcasting.
In this instance, though Jeremiah is indeed a superstar, the way he engages twitter recently within his community is far less then the people you referenced. If you have a look at previous scores, you will see he has a far higher engagement level. Maybe he was just busy and didn’t have time the past two weeks – its unlucky but Tweetlevel aims to reward those people who currently engages well as oppose to who used to.
A lot of work went behind this post and many thanks to Jonny for this. I am on this list as are many people who I would expect to be as key influencers but more importantly there are many more people here who I did not know in advance and that’s the real value of this list. In my case, the primary vehicle of contribution to the Web is not twitter but rather the open gardens blog. Nevertheless, I think this list shows people who are influential, who contribute original content and engage – so its very useful kind rgds Ajit
Thanks for adding me, Jonny.
Come to think of it, the ranking should be an app to update it in realtime for analysts. I’m already up to about the 90th rank and a score of 49.4 so it can change very fast.
Actually, I am sure that it would benefit a lot of people for other domains. e.g. let’s say I want to know the top ranking Twitterers for Startups, or the best Twitterers for Novel Writing, or the best Twitterers about Travels.
This would be an awesome new tool.
Great post. Why dont you have a Share this icon for us to share with others?
Your analysis is ignoring an important consideration. People are looking for insight which can come from other than official analysts. Us end-customers are equally worth listening to…
Hi there,
I see you are still tracking cms watch (we were 7th last time round). However we changed the company name at the start of this year to The Real Story Group and that is no longer used.
Now it is http://www.realstorygroup.com – @realstorygroup with the analysts also individually tweeting for example @alanpelzsharpe etc
Best!
Alan
I feel like a killjoy in this discussion. It looks like this is a popularity contest and quantity over quality. And does having higher twitter rank make me a better analyst or mean that I have more influence? Am I better off influencing 5000 mid level managers or 50 CEO’s? Are the CEO’s following me on Twitter, or do they prefer a phone call?
As far as I can see, it just means that higher ranked analysts are better at using the tool. Don’t get me wrong, I think Twitter is great, but it is just tool for communicating and not end in itself.
Am I missing something?