SEOClerks

verify up to 7500 emails and remove hard bounces for $13

96.4% (56)
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: 1707 days ago

verify up to 7500 emails and remove hard bounces

If you have an old email list of clients and are not sure which ones are still good or not, but want to reconnect with them, you need to be safe and verify them. Remove the hard bounces so you’re not deemed a spammer or cause issues with your ISP for mailing out to dead emails !I will verify up to 7500 maximum per gig.

I will verify (Identify Hard Bounces) which email is good to re-email or not and why and supply you with a detailed log. Your final report (emails only, unless you buy the extra) will include every email and every emails result if they are good, bad or unknown.

This gig will remove any duplicates first then report on each email, but once you get the final report, you just pick the ones you want to email back and you can keep the dead ones as your own suppression list if you want too.


Tags

Email Hygiene Data Cleaning Marketing

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Rating breakdown


Extras
verify upto 35k worth of emails 0 days $40
verify upto 70k worth of emails 0 days $80
Accept extra email data, fname, address etc and supply final verification result 0 days $20

Other services by TimRichardSEO

$13 - In stock
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Possible Duplicate queries found!
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/opt/clerks-staging/docroot/libraries/adodb5/adodb.inc.php 1899 CacheExecute() ()

SELECT * FROM orders WHERE PID='272394' AND status in (1, 4, 6)1SELECT OID, stime, extradays1, extradays2, extradays3, extra1ordered, extra2ordered, extra3ordered, days, status, quantity, extras_data FROM orders WHERE PID='272394' AND status in (1, 4, 6)

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

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SELECT * FROM seoclerks.ratings WHERE USERID='236962' AND PID != 01SELECT good, bad FROM seoclerks.ratings WHERE USERID='236962' AND PID != 0

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SELECT * FROM codeclerks.ratings WHERE USERID='236962' AND PID != 01SELECT good, bad FROM codeclerks.ratings WHERE USERID='236962' AND PID != 0

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

SELECT * FROM listingdock.ratings WHERE USERID='236962' AND PID != 01SELECT good, bad FROM listingdock.ratings WHERE USERID='236962' AND PID != 0

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SELECT * FROM pixelclerks.ratings WHERE USERID='236962' AND PID != 01SELECT good, bad FROM pixelclerks.ratings WHERE USERID='236962' AND PID != 0

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SELECT * FROM wordclerks.ratings WHERE USERID='236962' AND PID != 01SELECT good, bad FROM wordclerks.ratings WHERE USERID='236962' AND PID != 0

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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()

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Expensive SQL

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Suspicious SQL

The following SQL have high average execution times
Avg TimeCountSQLMaxMin
0.1397091SELECT 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 '%telegram%' OR A.skills LIKE '%telegram%') ORDER BY A.lastgigedit desc LIMIT 0,400.1397090.139709
0.1106091SELECT 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 '%telegram%' OR A.skills LIKE '%telegram%')0.1106090.110609