SEOClerks

Skyrocket Your Ranking Through 5 Web 2.0 Backlinks for $20

Level 1
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: 1706 days ago
Sample?
Check this out: https://drive.google.com/file/d/1EDhm_y3-d6qbr6tslEnschUzzqeqtrO6/view?usp=drivesdk
Is it manual?
It is 100% manual and I write all the articles and Design custom image related to the articles
Are they permanent?
100% permanent backlinks as they are posted in Premium sites!
What will I get in the delivery?
You will get a complete detailed csv file containing the links,anchor text,login details and da of each site
Will you refund?
Yes I will refund if the backlinks does not contain what I promised
Is it niche relevant
Yes! All the articles will be website niche relevant

Skyrocket Your Ranking Through 5 Web 2.0 Backlinks



5-10 HandMade Web 2.0 Premium Quality Backlinks

web 2.0 Dofollow Backlinks. link building isn't always smooth if you are having too many different tasks. Don't over burden your self and be relax. to boost your rankings on Page 1 of Google Top Position you are at the right place. I will offer you the fantastic web 2.0 backlinks service for authority link building.

Gig Features :

  • High DA Sites( Da 40-90)
  • Do-Follow permanent contextual Links
  • Keywords based and custom image Design/link
  • Unique niche relevant articles
  • Complete Detailed Report
  • 100% Google safe
  • No boom in spam score.
  • Spam score < 1%
  • Always 24/7 client support
  • Samples available before delivery

I'm always Available. Just send me message anytime and I'll respond inside minutes.

My Other Services:


What's included

Progress Reports

Tags

Web 2 0 backlinks Contextual Manual

0.0

0 reviews

Rating breakdown


Extras
Custom image Design/link 1 days $5
500 visits / link 1 days $3
1000 visits / link 1 days $5
20 social signals/link 1 days $2
100 social signals/link 1 days $5
Max Indexing Rate 1 days $1
Add 10 da70+ backlinks 1 days $5
Add 20 dedicated web2.0 1 days $5

Other services by Backlinkexpertz

$20 - In stock
Order Now
Process Time: 0.27626991271973

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM posts WHERE PID=9244881SELECT *, author_bookmarktip AS service_author_bookmarktip FROM posts WHERE PID=924488

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

SELECT * FROM categories1SELECT * FROM categories

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

SELECT * FROM seoclerks.members WHERE USERID='1060909'1SELECT * FROM seoclerks.members WHERE USERID='1060909'

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

SELECT * FROM ratings A, seoclerks.members B WHERE A.PID='924488' 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='924488' AND A.RATER=B.USERID

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

SELECT * FROM orders WHERE PID='924488' AND status in (1, 4, 6)1SELECT OID, stime, extradays1, extradays2, extradays3, extra1ordered, extra2ordered, extra3ordered, days, status, quantity, extras_data FROM orders WHERE PID='924488' 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='924488'1UPDATE posts SET viewcount = viewcount + 1 WHERE PID='924488'

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

SELECT * FROM seoclerks.ratings WHERE USERID='1060909' AND PID != 01SELECT good, bad FROM seoclerks.ratings WHERE USERID='1060909' AND PID != 0

/opt/clerks-staging/docroot/include/functions/includes/smarty.php 135 insert_get_percent() include()

SELECT * FROM codeclerks.ratings WHERE USERID='1060909' AND PID != 01SELECT good, bad FROM codeclerks.ratings WHERE USERID='1060909' AND PID != 0

/opt/clerks-staging/docroot/include/functions/includes/smarty.php 135 insert_get_percent() include()

SELECT * FROM listingdock.ratings WHERE USERID='1060909' AND PID != 01SELECT good, bad FROM listingdock.ratings WHERE USERID='1060909' AND PID != 0

/opt/clerks-staging/docroot/include/functions/includes/smarty.php 135 insert_get_percent() include()

SELECT * FROM pixelclerks.ratings WHERE USERID='1060909' AND PID != 01SELECT good, bad FROM pixelclerks.ratings WHERE USERID='1060909' AND PID != 0

/opt/clerks-staging/docroot/include/functions/includes/smarty.php 135 insert_get_percent() include()

SELECT * FROM wordclerks.ratings WHERE USERID='1060909' AND PID != 01SELECT good, bad FROM wordclerks.ratings WHERE USERID='1060909' AND PID != 0

/opt/clerks-staging/docroot/include/functions/includes/smarty.php 135 insert_get_percent() include()

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 categories WHERE parentid = 0 1SELECT * FROM categories WHERE parentid = 0

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

SELECT * FROM seoclerks.members WHERE USERID=? 1SELECT usergroup FROM seoclerks.members WHERE USERID=?

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

Invalid SQL

count(*)sql1error_msg

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