SEOClerks

20 Gambling Links from Daiss - The Gambling PBN network for true players for $499

100% (13)
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: 1714 days ago

20 Gambling Links from Daiss - The Gambling PBN network for true players

Introducing Daiss!
Gambling PBN network for true players!

What Is Daiss?
T-RANKS Daiss is a PBN network tailored for gambling niches.
High quality setups, maintenance, power and laser targeted topical relevancy.

Why Daiss?

#1 – Superior Setup
Gambling niches are very competitive and we know this. That's why our setups are top notch so it looks like you are getting links from genuine websites.

#2 – Safety
Safety is our #1 concern. Your links are well hidden from any unwanted attention.

#3 – Power
This one is a given. You need power to reach top spots for high competitive gambling niches. Daiss provides.

#4 – Low OBL
Maximum out-bond link count is 10. This ensures you are getting maximum juice for your buck.

What Niches Are Allowed?
Anything gambling related and legal. Including but not limited to:

  • casinos
  • betting
  • lottery
  • online gambling / gaming
  • slots
  • poker
  • bingo
  • scratch cards
  • roulette
  • hack / cheat niches
Contact us if you are not sure if your niche is allowed.

What About Stats?
TF, DA, DR are all above average.
Our primary concern is unique Referring Domains count, which is above 100.
Backlinks sources are thoroughly checked for authenticity & cleanness.

WE DON'T ALLOW:
Websites targeting Singapore market.
Anything that is not gambling related or legal.
If you're unsure if your website is allowed contact us before ordering:


Tags

targeted promotion traffic marketing connecticut

5.0

2 reviews

Rating breakdown

  • 2
  • 0

Other services by Jovan

20 Gambling Links from Daiss - The Gambling PBN network for true players for $499 is ranked 5 out of 5. Based on 2 user reviews.
$499 - In stock
Order Now
Process Time: 0.03725004196167

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM posts WHERE PID=8939441SELECT *, author_bookmarktip AS service_author_bookmarktip FROM posts WHERE PID=893944

/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='146019'1SELECT * FROM seoclerks.members WHERE USERID='146019'

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

SELECT * FROM ratings A, seoclerks.members B WHERE A.PID='893944' 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='893944' AND A.RATER=B.USERID

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

SELECT * FROM portfolio WHERE PID='893944' ORDER BY id ASC LIMIT 10 1SELECT * FROM portfolio WHERE PID='893944' ORDER BY id ASC LIMIT 10

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

SELECT * FROM orders WHERE PID='893944' AND status in (1, 4, 6)1SELECT OID, stime, extradays1, extradays2, extradays3, extra1ordered, extra2ordered, extra3ordered, days, status, quantity, extras_data FROM orders WHERE PID='893944' 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='893944'1UPDATE posts SET viewcount = viewcount + 1 WHERE PID='893944'

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

SELECT * FROM seoclerks.ratings WHERE USERID='146019' AND PID != 01SELECT good, bad FROM seoclerks.ratings WHERE USERID='146019' AND PID != 0

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

SELECT * FROM codeclerks.ratings WHERE USERID='146019' AND PID != 01SELECT good, bad FROM codeclerks.ratings WHERE USERID='146019' AND PID != 0

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

SELECT * FROM listingdock.ratings WHERE USERID='146019' AND PID != 01SELECT good, bad FROM listingdock.ratings WHERE USERID='146019' AND PID != 0

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

SELECT * FROM pixelclerks.ratings WHERE USERID='146019' AND PID != 01SELECT good, bad FROM pixelclerks.ratings WHERE USERID='146019' AND PID != 0

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

SELECT * FROM wordclerks.ratings WHERE USERID='146019' AND PID != 01SELECT good, bad FROM wordclerks.ratings WHERE USERID='146019' 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