SEOClerks

Clear
Sign In Join

I will make 30 high authority dofollow web 2.0 backlinks for your ranking for $15

100% (1)
Order Now ($15)

  • Guaranteed by seller or 25% money back

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

I will make 30 high authority dofollow web 2.0 backlinks for your ranking

Web 2.0 blogs contextual Back-links are the best way to boost your ranking quickly in search engines, It helpful to brings real Visitor and organic traffic with High PR & High DA backlink. Simply, if you have got a lot of high authority links than your competitors, you'll rank higher ultimately, GUARANTEED!


Web 2.0 blog created on authority platforms for example,WordPress, Blogger, Tumblr, sites.google,thriveglobal and many more

Benefits My Gig :-

  • ♨️ 100% Manual work, No use any software
  • ♨️ Detailed Excel Report
  • ♨️ UNIQUE IP will be used
  • ♨️ Page Rank (PR9-PR7)
  • ♨️ Domain Authority (DA 100-50)
  • ♨️ Keywords based and related image post
  • ♨️ 600+ words niche related unique article on each web2.0
  • ♨️ Relevant images and videos will be used in the content
  • ♨️ Google panda penguin safe links because the anchor text for each link.
  • ♨️ A free and easy guidance of the information for users enabling them to tag the websites, videos or images with links


Please read the FAQs before placing the order or Contact me for more information.

Q: Will I get the proof of work?
A: You would certainly get the full report of links based on the type of package you purchased. The report would be shared on the completion of the order.

Q: What would be the quality of links?
A: Your backlinks would be made on Google-friendly websites with good Alexa, PR, TF, and DA. General links would be built on General websites it includes web2.0 buffer blogs, article submission and blog post.

Q: How much time it would take to see the results?
A: There are more than 200 Ranking Factors and SEO is an ongoing process. It may take weeks to months depending upon your Website Age, Niche, Competition and Keyword you are targeting to get a website ranked. Rest assured, with my SEO campaigns, your website would certainly improve ranking with time.

Q: When would my links get indexed in Google & appear in backlink checker tools?
A: It may take around 7-15 days for backlinks to be indexed.

Q: Do you accept all Niches?
A: We accept all niches

Q: How many URLs and Keywords you accept with One Order?
A: We accept Up to 1 URLs and 5 Keywords with each order.

Q: How would you generate content for guest posts?
A: The content of the guest posts would be spined. But it would be human-readable. If you want to use fresh content for the guest posts then you need to provide us the guest post articles by yourself.

Q: Are the links permanent and what is the indexation rate?
A: 80% of the links we build are permanent. The natural indexation rate is around 50% to 70% after 3 months of service.

Q: Can you guarantee any ranking position or time frame to achieve this?
A: No one can guarantee any specific ranking position or time frame in SEO. Anyone who claims to get your website to top rank is just telling you what you want to hear. Instead, I assure you that my SEO practices and methodology would be best & safe for your website as per the latest SEO techniques.

What's included

Progress Reports

Tags

web2 0 dofollow unique backlink highauthority

0.0

0 reviews

Rating breakdown

Extras
Quick 1 day delivery
If the seller fails to deliver the service in the specified time, the order will automatically cancel returning your funds.
 $5
Order Now ($15)

$15

Order Now ($15)

Other services by Amit9898

    • Top Sellers

    New Services

    Top Services

    $15 - In stock

    Order Now
    Process Time: 0.050545215606689

    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 posts WHERE PID=7979221SELECT *, author_bookmarktip AS service_author_bookmarktip FROM posts WHERE PID=797922

    		/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='907460'1SELECT * FROM seoclerks.members WHERE USERID='907460'

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

    SELECT * FROM ratings A, seoclerks.members B WHERE A.PID='797922' 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='797922' AND A.RATER=B.USERID

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

    SELECT * FROM orders WHERE PID='797922' AND status in (1, 4, 6)1SELECT OID, stime, extradays1, extradays2, extradays3, extra1ordered, extra2ordered, extra3ordered, days, status, quantity, extras_data FROM orders WHERE PID='797922' 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='797922'1UPDATE posts SET viewcount = viewcount + 1 WHERE PID='797922'

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

    SELECT * FROM seoclerks.ratings WHERE USERID='907460' AND PID != 01SELECT good, bad FROM seoclerks.ratings WHERE USERID='907460' AND PID != 0

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

    SELECT * FROM codeclerks.ratings WHERE USERID='907460' AND PID != 01SELECT good, bad FROM codeclerks.ratings WHERE USERID='907460' AND PID != 0

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

    SELECT * FROM listingdock.ratings WHERE USERID='907460' AND PID != 01SELECT good, bad FROM listingdock.ratings WHERE USERID='907460' AND PID != 0

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

    SELECT * FROM pixelclerks.ratings WHERE USERID='907460' AND PID != 01SELECT good, bad FROM pixelclerks.ratings WHERE USERID='907460' AND PID != 0

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

    SELECT * FROM wordclerks.ratings WHERE USERID='907460' AND PID != 01SELECT good, bad FROM wordclerks.ratings WHERE USERID='907460' 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