Netflix Keywords - Top netflix.com Keywords for SEO & PPC

Doing Netflix keyword research? Below is a list of top Netflix keywords from a popular keyword tool. We found over 127,000 SEO keywords and 139,050 Adwords (PPC) keywords for netflix.com.

Explore Netflix keywords by signing up for Concentrate, a search analytics and keyword tool that transforms search data into actionable intelligence. Register below, and we'll show you how to find Netflix keywords and turn them into profitable insights for your SEO and pay-per-click (PPC) campaigns!

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Netflix SEO Keywords

Keyword Search Volume SEO Position Ranking URL
netflix 16,600,000 1 http://www.netflix.com/
netflix.com 550,000 1 http://www.netflix.com/
netflix login 550,000 1 https://www.netflix.com/Login
netflix login 550,000 2 http://www.netflix.com/BrowseSelection
netflix login 550,000 3 http://www.netflix.com/
netflix login 550,000 4 http://www.netflix.com/PrivacyPolicy
black swan 550,000 15 http://www.netflix.com/Movie/Black-Swan/60034390
inception 450,000 12 http://www.netflix.com/Movie/Inception/70131314
watch movies online 450,000 12 http://www.netflix.com/MediaCenter
juno 450,000 15 http://www.netflix.com/Movie/Juno/70077553
natalie portman 450,000 18 http://www.netflix.com/RoleDisplay/Natalie_Portman/162100
true blood 450,000 18 http://www.netflix.com/Movie/True-Blood-Season-1/70089227
true grit 301,000 14 http://www.netflix.com/Movie/True-Grit/70142543
tangled 246,000 10 http://www.netflix.com/Movie/Tangled/70128681
127 hours 246,000 10 http://www.netflix.com/Movie/127-Hours/70141813
weeds 246,000 14 http://www.netflix.com/Movie/Weeds/70136122
james franco 246,000 16 http://www.netflix.com/RoleDisplay/James_Franco/20008983
green lantern 246,000 13 http://www.netflix.com/Movie/Green-Lantern/70143807
easy a 201,000 5 http://www.netflix.com/Movie/Easy-A/70123920
despicable me 201,000 7 http://www.netflix.com/Movie/Despicable-Me/70115629

Data Source: SEMRush - Sign up now to get all 126,830 netflix.com keywords!

Netflix PPC Keywords

Keyword Search Volume Cost-per-Click (CPC)
netflix 16,600,000 $0.10
movies 1,500,000 $0.86
free movies online 1,220,000 $0.80
watch movies 673,000 $1.64
netflix.com 550,000 $0.10
watch free movies online 550,000 $0.78
xbox live 450,000 $0.28
watch movies online 450,000 $2.59
sex and the city 368,000 $0.42
fancast 301,000 $0.12
free movies 246,000 $0.63
watch movies online for free 201,000 $0.93
free online movies 201,000 $0.65
watch-movies.net 201,000 $1.75
watch movies online free 165,000 $0.90
waiting for superman 135,000 $0.83
peliculas gratis 135,000 $0.19
movie 135,000 $1.34
movies online 135,000 $1.25
jersey shore season 3 110,000 $0.22

Data Source: SEMRush - Sign up now to get all 139,050 netflix.com keywords!

Netflix SEO Competitor Keywords

Competitor Common SEO Keywords See More:
amazon.com 116,617 amazon keywords
wikipedia.org 110,653 wikipedia keywords
imdb.com 100,646 imdb keywords
yahoo.com 47,044 yahoo! keywords
rottentomatoes.com 37,135 rotten tomatoes keywords
facebook.com 31,292 facebook keywords
cduniverse.com 24,180 cduniverse.com keywords
nytimes.com 23,565 new york times keywords
ovguide.com 22,345 ovguide.com keywords
blockbuster.com 20,933 blockbuster.com keywords

Data Source: SEMRush - Sign up now to get all netflix.com SEO competitor keywords!

Netflix PPC Competitor Keywords

Competitor Common PPC Keywords See More:
ask.com 42,627 ask keywords
google.com 23,295 google keywords
youtube.com 18,896 youtube keywords
yidio.com 9,114 yidio.com keywords
crackle.com 7,765 crackle.com keywords
itvs.org 7,600 itvs.org keywords
redbox.com 7,135 redbox.com keywords
yahoo.com 6,788 yahoo! keywords
ebay.com 6,732 ebay keywords
apple.com 6,312 apple keywords

Data Source: SEMRush - Sign up now to get all netflix.com PPC competitor keywords!

More about Concentrate

Typical search analytics is limited to the top 100 or 200 keywords. Concentrate gives you manageable views into ALL search traffic - both your own and your competitors'.

At the heart of Concentrate is a powerful natural language algorithm that automatically discovers patterns within search query data. These patterns include keywords that share similar text strings and related words such as cities, states, product names, etc.

Finding common patterns is the key to making search data understandable and actionable.

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