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Optimizely

Optimizely

Go Back Location: San Francisco, CA, United States Industry: Web Development Stage: Generating Revenues and Scaling

Website Claim
Optimizely was founded by two former Google product managers, Dan Siroker and Pete Koomen. Dan served as the Director of Analytics during the Obama 2008 presidential campaign. While there, his team relied on the use of A/B and multivariate testing to maximize email sign-ups, volunteers, and donations to raise more than $100 million in additional revenue for the campaign.But optimization was hard — you needed technical skills and know-how to run even the simplest of tests. After the campaign, Siroker teamed up with Koomen to create a world-class optimization platform that was easy to use in an effort to provide a platform for businesses to be able to conceive and run experiments that helped them make better data-driven decisions. Since completing YCombinator in the winter of 2010, Optimizely has seen strong and growing demand.

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Rankings powered by: Semrush Rankings SimilarWeb Analytics

Trend
  • Global: 495 from 66328 0
  • City: San Francisco 84 from 5327 0
  • Country: United States 265 from 33321 0
  • Industry: Web Development 4 from 138 0

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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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