China Unicom Beijing (INTERNET COMMUNICATIONS)

+86-10-64169966

221.123.169.3 China (2 changes since July 6, 2009)

April 8, 2011 218.244.180.21 (China Network Information Center) → 221.123.169.3(China Unicom Beijing)
July 6, 2009 119.254.16.3 (Langfang Development Area Huarui Xintong Network T) → 218.244.180.21(China Network Information Center)

OK

ns2.dns.com.cn (IP 118.123.119.233)
Other domains using this NS: 2,906
ns1.dns.com.cn (IP 211.100.44.211)
Other domains using this NS: 2,444

Whois lookup

130 (▼ 545)
diff as of May 1, 2010

12 years and 11 months

$73,215

16.62%

all domain wigdets

all worth widgets

Not certified

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keyword density, matching engine, ad network, advertising api, adsense, publisher network, yahoo publisher network, contextual advertising, online advertising, internet advertising, pay per click, monetization, high performance, classifieds sites, ad networks, web publishers, mobile apps, negcios

proximic.com, coolmediaplacement.com, chameleontom.org, intext.net, miva.com, valueclickmedia.co.uk, revenuepilot.com, vcmedia.com, advtise.com, yesads.com.

keyword density (10%, $2.00), contextual advertising (7%, $4.22), matching engine (7%), monetization (7%, $2.29), publisher network (7%, $1.97)

11

27 (▲2)

internal 31, external 11

OK

Proximic

pay per click pay per click advertising ppc online advertising contextual advertising monetization advertising API ad network publisher network keyword density pattern proximity contextual matching contextual matching engine internet advertising matching engine adsense yahoo publisher network

Proximic provides a high performance contextual matching service for advertising partners and publishers. The Proximic platform integrates with the internets largest consumer shopping and classifieds sites to automatically generate listing-based text and image ads. Contextually matched information is then served into web publishers ad networks and mobile apps through various Proximic publisher programs. It enables a better way to monetize special publishing environments by automatically serving up contextually relevant content. Proximic uses pattern proximity matching for contextual matching which is completely different from keyword density contextual matching. Keyword density contextual matching is not as good because keyword density matching can be easily fooled. Therefore proximic uses Pattern Proximity matching instead of keyword density matching

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This website does not receive any organic traffic (based on our research of 16 million keywords conducted 21 April 2012)