SEOClerks

Discussions about newseller

Showing page: 1 of 1

Hello, I'm a new seller on Seoclerk. Can you give me some tips for get my first order? Thank you.

2 5 years ago

Hello, my name is Shariar and I am a professional SEO Expert and new seller on Seoclerk. Can you give me some tips for get my first order? Thank you.

  • Shariaralam
    Shariaralam Level 3
  • 4 5 years ago

    How can I get more and more orders Regards Thank you......... How can I get more and more orders Regards Thank you.........

  • RoseMaria
    RoseMaria Level 3
  • 3 6 years ago

    Hello I am Maria here. I have just joined Seoclerk. Where do I add payment method? Could not find a place to add? In how many days payment gets cleared? Is there a limitation on the amount of order I can raise in...

  • mariadcruz
    mariadcruz Level 1
  • 3 7 years ago

    hello I'm a new service seller so please tell me how i can get more customers to buy my services ?? And how i make my service fast for the my customers, And how i get good rating , and tell me how i Go to second lev...

  • kartik42609
    kartik42609 Level 1
  • 3 12 years ago
    Order Now
    Process Time: 0.1101770401001

    Possible Duplicate queries found!
    MatchCountSQLScript
    SELECT * FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-864001SELECT querystring, added FROM members_ledger WHERE ip = ? AND added>=unix_timestamp(NOW())-86400

    /opt/clerks-staging/docroot/include/functions/includes/security.php 398 fetchMemberLedger() include_once()

    SELECT * FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND (A.tags LIKE '% newseller %' OR A.tags LIKE 'newseller %' OR A.tags LIKE '% newseller' OR A.tags='newseller') LIMIT 11SELECT count(A.quesid) as total FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND (A.tags LIKE '% newseller %' OR A.tags LIKE 'newseller %' OR A.tags LIKE '% newseller' OR A.tags='newseller') LIMIT 1

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

    SELECT * FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND (A.tags LIKE '% newseller %' OR A.tags LIKE 'newseller %' OR A.tags LIKE '% newseller' OR A.tags='newseller') ORDER BY A.sticky DESC, A.date_asked DESC LIMIT 0, 401SELECT A.*, C.username, C.userlevel FROM questions A, categories_faq B, seoclerks.members C where A.status='1' AND A.catid=B.CATID AND A.userid=C.USERID AND (A.tags LIKE '% newseller %' OR A.tags LIKE 'newseller %' OR A.tags LIKE '% newseller' OR A.tags='newseller') ORDER BY A.sticky DESC, A.date_asked DESC LIMIT 0, 40

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

    SELECT * from questions as A where A.status='1' 1SELECT count(A.quesid) as total from questions as A where A.status='1'

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

    SELECT * FROM answers as A where A.status='1' 1SELECT count(A.ansid) as total FROM answers as A where A.status='1'

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

    SELECT * FROM members_ledger WHERE (script='/opt/clerks-staging/docroot/faq.php' OR script='/opt/clerks-staging/docroot/viewfaq.php') AND added>=UNIX_TIMESTAMP(NOW())-1200 GROUP BY USERID 1SELECT USERID, username FROM members_ledger WHERE (script='/opt/clerks-staging/docroot/faq.php' OR script='/opt/clerks-staging/docroot/viewfaq.php') AND added>=UNIX_TIMESTAMP(NOW())-1200 GROUP BY USERID

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

    SELECT * FROM categories1SELECT * FROM categories

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

    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 seoclerks.members WHERE USERID='976498'1SELECT profilepicture FROM seoclerks.members WHERE USERID='976498'

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

    SELECT * FROM seoclerks.members WHERE USERID='978915'1SELECT profilepicture FROM seoclerks.members WHERE USERID='978915'

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

    SELECT * FROM seoclerks.members WHERE USERID='884874'1SELECT profilepicture FROM seoclerks.members WHERE USERID='884874'

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

    SELECT * FROM seoclerks.members WHERE USERID='775517'1SELECT profilepicture FROM seoclerks.members WHERE USERID='775517'

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

    SELECT * FROM seoclerks.members WHERE USERID='101215'1SELECT profilepicture FROM seoclerks.members WHERE USERID='101215'

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

    select * from categories_faq order by name asc1select * from categories_faq order by name asc

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

    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