SEOClerks

Send 10,000 individual IP visitors from real people per day for 5 days.

Send 10,000 individual IP visitors from real people per day for 5 days.

Send 10,000 visitors from a single IP of real people per day for 5 days. The total visitors will be 50,000. No bots. No surfing traffic. No hitleap. No otohits. No way to swap traffic points. No IFRAME traffic. No software used to generate visualizations. 100% real. 0% Bots. Traceable by Google Analytics. I use the StatCounter to track ISPs and IP, so no VPN traffic.


"If it works and meets my needs to increase the value of the offer and continue with the services for another month."


Requirements

Must be unique visitors


100% AdSense Safe


It has to generate real clicks and gains with the pillows


No bots.


No


Proxy view no traffic via VPN (no VPS traffic from hosting companies like Google Cloud, Amazon, OVH, Interserver, Hilnet, Alibaba, etc.) without surfing traffic. No traffic hitleap. No otohits traffic. No way to swap traffic points. No IFRAME preview without the use of traffic Demon No use of any software to generate visits. 100% real. 0% Bots. No more than 30% of the mainly US traffic rejection rate (must be 40% or more) fully traceable by Google Analytics Webmaster Tool No traffic China visitors should spend at least 40 seconds on the site I will provide goo.


Skills Required

Generate Traffic

Bids

No bids made yet - be the first!

Bid On Listing

Bid On Listing Created 9 years ago in Traffic

Other jobs by freitasjr

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Process Time: 0.16175985336304

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-864001SELECT querystring, added FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-86400

/opt/clerks-staging/docroot/include/functions/includes/security.php 398 fetchMemberLedger() include_once()

SELECT * FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.wantid='51289' AND A.category=B.CATID AND A.USERID=C.USERID1SELECT A.*, B.name, B.seo, C.username, C.userlevel, C.footer_code, C.rating, C.ratingcount, C.googleplus_profile, C.total_recommendations, C.USERID, C.profilepicture, C.average_response_time, C.lastlogin, C.addtime FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.wantid='51289' AND A.category=B.CATID AND A.USERID=C.USERID

/opt/clerks-staging/docroot/viewwant.php 163 () ()

SELECT * FROM ratings_buyer WHERE USERID=5892731SELECT sum(good) as thumbup, sum(bad) as thumbdown FROM ratings_buyer WHERE USERID=589273

/opt/clerks-staging/docroot/include/functions/main.php 19523 GetRatingsAsBuyerTotal() ()

SELECT * FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 51289 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Generate Traffic%' ) LIMIT 41SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 51289 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Generate Traffic%' ) LIMIT 4

/opt/clerks-staging/docroot/viewwant.php 551 () ()

SELECT * FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 51289 AND A.category=B.CATID AND A.active=1 AND A.USERID=589273 LIMIT 41SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 51289 AND A.category=B.CATID AND A.active=1 AND A.USERID=589273 LIMIT 4

/opt/clerks-staging/docroot/viewwant.php 568 () ()

SELECT * FROM wantcomments a, seoclerks.members b WHERE a.PID='51289' AND a.USERID=b.USERID and b.status='1' AND a.status=1 order by a.CID asc1SELECT a.comment, a.USERID, a.CID, a.time_added, a.istranslated, a.parentid, b.username, b.profilepicture FROM wantcomments a, seoclerks.members b WHERE a.PID='51289' AND a.USERID=b.USERID and b.status='1' AND a.status=1 order by a.CID asc

/opt/clerks-staging/docroot/viewwant.php 835 () ()

UPDATE wanttobuy SET viewcount = viewcount + 1 WHERE wantid='51289'1UPDATE wanttobuy SET viewcount = viewcount + 1 WHERE wantid='51289'

/opt/clerks-staging/docroot/include/functions/main.php 1729 update_wantviewcount() ()

SELECT * FROM wantbids as w, seoclerks.members AS m WHERE w.active=1 AND m.USERID=w.USERID AND m.status=1 AND w.USERID>0 AND w.wantid='51289' ORDER BY w.bidid ASC 1SELECT w.bidid, w.PID, w.comment, w.title, w.pricepublic, w.USERID, w.adjustedprice, w.ip, m.profilepicture FROM wantbids as w, seoclerks.members AS m WHERE w.active=1 AND m.USERID=w.USERID AND m.status=1 AND w.USERID>0 AND w.wantid='51289' ORDER BY w.bidid ASC

/opt/clerks-staging/docroot/viewwant.php 1192 () ()

SELECT * FROM categories_wanttobuy1SELECT * FROM categories_wanttobuy

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()

SELECT * FROM posts WHERE USERID=5892731SELECT sum(positive_ratings) as thumbup, sum(negative_ratings) as thumbdown FROM posts WHERE USERID=589273

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() GetBuyerRatingsTotal()

SELECT * FROM categories1SELECT * FROM categories

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() parseRedundantQueriesCache()

select * from categories_software order by name asc1select * from categories_software order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_GetSoftwareCategories()

select * from categories_wanttobuy order by name asc1select * from categories_wanttobuy order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_wantcategories()

select * from categories_wanttotrade order by name asc1select * from categories_wanttotrade order by name asc

/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() insert_get_tradecategories()

SELECT * FROM seoclerks.members WHERE USERID='589273'1SELECT profile_data FROM seoclerks.members WHERE USERID='589273'

/opt/clerks-staging/docroot/include/functions/main.php 1927 getUserBackground() include()

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Expensive SQL

Tuning the following SQL could reduce the server load substantially
LoadCountSQLMaxMin

Suspicious SQL

The following SQL have high average execution times
Avg TimeCountSQLMaxMin
3.7805081SELECT A.*, C.username, C.profilepicture, C.userlevel, C.ratingcount, C.rating, C.lastlogin, C.ip, C.lip, C.profile_data from posts A, seoclerks.members C WHERE A.active=1 AND A.USERID=C.USERID AND A.sold_out=0 AND category IN (42,64,90) AND gtags like'%photoshp%' AND type !=99 AND A.feat=0 AND A.catfeatured_upgrade=0 order by A.lastgigedit desc limit 0, 403.7805083.780508
0.1160411SELECT A.wantid, A.title, A.p1, A.maxprice, B.name, B.seo FROM wanttobuy A, categories_wanttobuy B WHERE A.wantid != 51289 AND A.category=B.CATID AND A.active=1 AND (A.tags like '%Generate Traffic%' ) LIMIT 40.1160410.116041