SEOClerks

I will create 70 dofollow high domain authority manually profile backlinks for $5

100% (14)
Attention: The owner of this service has not logged into SEOClerks for more than 30 days. It is highly recommend that you contact them before ordering this service. Last Login: 1705 days ago

I will create 70 dofollow high domain authority manually profile backlinks

Welcome to my gig
I will manually create dofollow profile backlinks for 70+ high authority PR6 - PR9 (DA70 to DA90) SEO link building. All links will be very strong and lasting. This is very helpful for your website SEO ranking.

Profile backlinks are off-page SEO strategies for creating backlinks for your site.


Why would you choose my service?
White Hat 100% manual work.

Fast delivery

100% Satisfaction Guaranteed.

100% boost up Google Ranking.

High-quality backlinks


High Domain Authority Backlinks

Extremely friendly with pandas, penguins and hummingbirds

We will provide our services as promised.

Excel sheet report details

Complete report with username and password


Features of our packages:

High DA / PA backlinks

100% manual work

Whitehat method only

No software

SEO friendly

Penguins and pandas are safe


Thanks
Have a nice day


What's included

Progress Reports

Tags

profile backlink DofollowBacklink backlinks link building

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0 reviews

Rating breakdown


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Process Time: 0.058104991912842

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/opt/clerks-staging/docroot/include/functions/includes/service.php 479 getAllServiceDetails() ()

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

SELECT * FROM seoclerks.members WHERE USERID='1014321'1SELECT * FROM seoclerks.members WHERE USERID='1014321'

/opt/clerks-staging/docroot/include/functions/includes/member.php 445 GetAllUserDetails() ()

SELECT * FROM ratings A, seoclerks.members B WHERE A.PID='897506' AND A.RATER=B.USERID1SELECT COUNT(A.RID) as total, SUM(bad) as badTotal, SUM(good) as goodTotal FROM ratings A, seoclerks.members B WHERE A.PID='897506' AND A.RATER=B.USERID

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

SELECT * FROM orders WHERE PID='897506' AND status in (1, 4, 6)1SELECT OID, stime, extradays1, extradays2, extradays3, extra1ordered, extra2ordered, extra3ordered, days, status, quantity, extras_data FROM orders WHERE PID='897506' AND status in (1, 4, 6)

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

UPDATE posts SET viewcount = viewcount + 1 WHERE PID='897506'1UPDATE posts SET viewcount = viewcount + 1 WHERE PID='897506'

/opt/clerks-staging/docroot/include/functions/main.php 1717 update_viewcount() ()

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

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

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/opt/clerks-staging/docroot/include/functions/main.php 21555 getNotParentCategories() include()

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/opt/clerks-staging/docroot/include/functions/includes/member.php 2553 isStaffMember() include()

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Tuning the following SQL could reduce the server load substantially
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0.3947362SELECT COUNT(A.wantid) AS total FROM wanttobuy as A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID 0.2050350.189701

Suspicious SQL

The following SQL have high average execution times
Avg TimeCountSQLMaxMin
0.3517831SELECT A.*, B.seo, B.name as categoryname, C.username, C.userlevel, C.lastlogin, C.ip, C.profilepicture FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID ORDER BY A.viewcount desc LIMIT 0,400.3517830.351783
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0.1489351SELECT A.*, B.seo, B.name as categoryname, C.username, C.userlevel, C.lastlogin, C.ip, C.profilepicture FROM wanttobuy A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%Readymade%' OR A.skills LIKE '%Readymade%') ORDER BY A.lastgigedit desc LIMIT 0,400.1489350.148935
0.1058581SELECT COUNT(A.wantid) AS total FROM wanttobuy as A, categories_wanttobuy B, seoclerks.members C WHERE A.active = 1 AND A.category = B.CATID AND A.USERID = C.USERID AND (A.tags LIKE '%Readymade%' OR A.skills LIKE '%Readymade%')0.1058580.105858