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SOCIFI

SOCIFI

Go Back Location: Prague, Czechia Industry: Analytics

Website Claim
Free WiFi is becoming a norm. Visitors expect free WiFi access in public places. WiFi providers are looking for new ways how to monetize free WiFi. We in SOCIFI have a solution. We use sophisticated technologies as real-time-bidding and social media for advanced Ad targeting and highest yield. We enable business to further engage with customers and get user analytics. In two years there will be doubled growth in free hotspots worldwide. We are going to be market leader of this wave. - 100% engagement - 100% share of voice - very high average CTR WiFi marketing - own brand promotion - increase user engagement, loyalty and sales - advanced user analysis - social media features WiFi monetization - new media space for advertisers - new revenue stream - visitor data analytics Solution suitable for brands & venues: - IPS & WISP, Municipal WiFi, Airports... - Chains & Shopping malls (Hotels, Stores, Restaurants...) - Small business (Coffee Shops, Bars, Restaurants, Companies...)
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Rankings powered by: Semrush Rankings SimilarWeb Analytics

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  • Global: 2253 from 66328 1772
  • City: Prague 6 from 161 4
  • Country: Czechia 7 from 202 5
  • Industry: Analytics 22 from 482 15

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GO BACK

   Switch to Countries Board Cities Global Ranking of Startup Ecosystem   Go to 2019  
StartupBlink ranks more than 125 countries and 950 cities according to their startup ecosystem strength. Toggle between Countries/Cities ranking, search for a specific location, and download our PDF Ranking Report
2019 Rank
Country id
Population
Change (from 2017)
City Name
Total Score
Quantity Score
Quality Score
Business Score
1
1
9666055
0
San Francisco Bay, United States
262.878
33.37
222.21
7.30
2
1
21045000
0
New York, United States
55.938
3.88
44.76
7.30
3
5
7556900
0
London, United Kingdom
38.421
14.41
16.71
7.30
4
1
3971883
0
Los Angeles Area, United States
34.219
12.99
13.92
7.30
5
1
4771936
+1
Boston Area, United States
33.946
5.47
21.17
7.30
6
25
3098400
+1
Tel Aviv Area, Israel
23.942
2.60
14.04
7.30
7
29
3426354
-2
Berlin, Germany
22.322
3.18
11.84
7.30
8
1
2720546
0
Chicago, United States
18.412
4.86
6.25
7.30
9
1
684451
0
Seattle, United States
18.107
4.16
6.65
7.30
10
2
10381222
+4
Moscow, Russia
17.504
5.83
4.78
6.90
11
13
5104047
+10
Bangalore, India
17.070
3.95
5.82
7.30
12
8
2138551
-2
Paris, France
16.648
2.98
6.37
7.30
13
1
2168316
-1
Austin, United States
16.236
3.82
5.12
7.30
14
24
8336599
+15
Tokyo, Japan
15.764
1.09
7.38
7.30
15
7
2600000
-4
Toronto, Canada
15.732
4.48
3.95
7.30
16
27
741636
+2
Amsterdam, The Netherlands
15.569
1.75
6.52
7.30
17
45
11716620
-4
Beijing, China
15.213
0.93
7.78
6.50
18
13
26454000
+5
New Delhi, India
15.167
3.38
4.48
7.30
19
3
5029711
+6
Sydney, Australia
14.785
2.67
4.82
7.30
20
1
5700990
-4
Atlanta, United States
14.668
2.69
4.68
7.30
21
1
6158824
+12
Miami Area, United States
14.608
3.29
4.02
7.30
22
1
7539711
+16
Dallas-Fort Worth, United States
14.603
2.60
4.70
7.30
23
19
10021295
+8
Sao Paulo, Brazil
14.521
1.87
5.35
7.30
24
18
1515017
-9
Stockholm, Sweden
14.105
1.24
5.57
7.30
25
7
600000
-6
Vancouver, Canada
13.745
2.43
4.02
7.30
26
1
3283665
-6
San Diego, United States
13.698
2.59
3.80
7.30
27
14
1621537
-10
Barcelona, Spain
13.592
2.73
3.57
7.30
28
45
7482500
+7
Hong Kong, China
13.360
1.83
5.03
6.50
29
13
12691836
+3
Mumbai, India
12.900
2.09
3.51
7.30
30
72
10349312
-3
Seoul, South Korea
12.654
0.65
5.10
6.90
31
45
22315474
-9
Shanghai, China
12.488
0.87
5.11
6.50
32
32
5784538
+4
Singapore City, Singapore
12.146
0.45
4.79
6.90
33
14
3255944
-7
Madrid, Spain
12.069
1.98
2.79
7.30
34
43
2900920
+29
Kiev, Ukraine
11.711
1.32
3.10
7.30
35
3
4963349
-5
Melbourne, Australia
11.300
2.25
1.75
7.30
36
46
1488236
+26
Helsinki, Finland
11.245
0.81
3.13
7.30
37
1
682545
+3
Denver, United States
11.108
1.57
2.23
7.30
38
1
6065644
-1
Philadelphia, United States
10.685
1.73
1.65
7.30
39
51
8540121
+121
Jakarta, Indonesia
10.463
0.54
3.02
6.90
40
45
10358381
+12
Shenzhen, China
10.426
0.23
3.70
6.50
41
29
1260391
+23
Munich, Germany
10.388
0.80
2.29
7.30
42
1
4561038
+19
Phoenix, United States
10.356
1.36
1.69
7.30
43
1
2382037
-15
Portland, United States
10.221
1.75
1.17
7.30
44
20
1024027
-3
Dublin, Ireland
10.181
1.10
1.78
7.30
45
1
6133552
-3
Washington DC Area, United States
10.145
1.34
1.51
7.30
46
1
2117103
+48
Raleigh Durham, United States
10.135
0.82
2.01
7.30
47
28
12294193
+46
Mexico City, Mexico
10.059
0.24
2.52
7.30
48
15
13076300
+12
Buenos Aires, Argentina
10.006
1.30
1.41
7.30
49
7
1600000
-15
Montreal, Canada
9.961
1.62
1.04
7.30
50
1
2427024
+27
Charlotte, United States
9.777
0.80
1.68
7.30
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