SEOClerks

I can promote your busniess using Viral Prize draws for $100

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: 2271 days ago

I can promote your busniess using Viral Prize draws

Use code "fast" at checkout to receive 5% off

Hello, I will create an email list for your business.
I can also send many things to the email list that I will create using a technique called
"Viral Prize Draw". This can allow me to make a large email list for your business. I cannot guarantee any sales or customers but this method is more successful than normal Google advertising.

This is how much I charge :

Starter (1 Month): $80 - contact list 1000

Standard (2 Months):$130 - contact list 1500

Deluxe (3 Months):$175 - contact list 2000

After Deluxe I do $30 for every 500 contacts (meaning a contact list of 2500 would cost $225)


What I can do?

  • I can create a large email list for your needs.
  • I can create the pages and giveaways with you only providing information to me.
  • I can do all the work while you relax

What will you need to do?

  • I will provide you with a PDF of what you need to provide me with.
  • Have something (e.g discount code, free meals) to give away.
  • Logo (optional).
  • For clients in the EU: provide me with the address of the business (Due to GDPR)


If you have any questions or if you want to arrange a different deal with me, contact me on here. I will happily respond to you as soon as possible

Also, keep in mind the delivery time is how long it would take to make the giveaway NOT to make the whole email list.


Tags

Email List Advertisement Advertising Large Big Promote Marketing Convert

0.0

0 reviews

Rating breakdown


Extras
Quick 3 day delivery
If the seller fails to deliver the service in the specified time, the order will automatically cancel returning your funds.
$50
Standard Package 1 days $50
Deluxe 3 days $95
+500 Email Contacts 1 days $30
+500 Email Contacts 1 days $30
+500 Email Contacts 1 days $30

Other services by igorkola

$100 - In stock
Order Now
Process Time: 0.017400979995728

Possible Duplicate queries found!
MatchCountSQLScript
SELECT * FROM posts WHERE PID=6345661SELECT *, author_bookmarktip AS service_author_bookmarktip FROM posts WHERE PID=634566

/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='725283'1SELECT * FROM seoclerks.members WHERE USERID='725283'

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

SELECT * FROM ratings A, seoclerks.members B WHERE A.PID='634566' 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='634566' AND A.RATER=B.USERID

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

SELECT * FROM orders WHERE PID='634566' AND status in (1, 4, 6)1SELECT OID, stime, extradays1, extradays2, extradays3, extra1ordered, extra2ordered, extra3ordered, days, status, quantity, extras_data FROM orders WHERE PID='634566' 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='634566'1UPDATE posts SET viewcount = viewcount + 1 WHERE PID='634566'

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

SELECT * FROM seoclerks.ratings WHERE USERID='725283' AND PID != 01SELECT good, bad FROM seoclerks.ratings WHERE USERID='725283' AND PID != 0

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

SELECT * FROM codeclerks.ratings WHERE USERID='725283' AND PID != 01SELECT good, bad FROM codeclerks.ratings WHERE USERID='725283' AND PID != 0

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

SELECT * FROM listingdock.ratings WHERE USERID='725283' AND PID != 01SELECT good, bad FROM listingdock.ratings WHERE USERID='725283' AND PID != 0

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

SELECT * FROM pixelclerks.ratings WHERE USERID='725283' AND PID != 01SELECT good, bad FROM pixelclerks.ratings WHERE USERID='725283' AND PID != 0

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

SELECT * FROM wordclerks.ratings WHERE USERID='725283' AND PID != 01SELECT good, bad FROM wordclerks.ratings WHERE USERID='725283' 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