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yourfanat wrote: I am using another tool for Oracle developers - dbForge Studio for Oracle. This IDE has lots of usefull features, among them: oracle designer, code competion and formatter, query builder, debugger, profiler, erxport/import, reports and many others. The latest version supports Oracle 12C. More information here.
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In many cases, the end of the year gives you time to step back and take stock of the last 12 months. This is when many of us take a hard look at what worked and what did not, complete performance reviews, and formulate plans for the coming year. For me, it is all of those things plus a time when I u...
SYS-CON.TV
Adlucent Data Reveals Growing Influence of Google Shopping Product Listing Ads (PLAs)

AUSTIN, Texas, Dec. 20, 2012 /PRNewswire/ -- Adlucent today unveiled new data on the growth and performance of Google Shopping Product Listing Ads (PLAs) this holiday season. The data shows that Google's recent transition to Google Shopping has driven explosive growth for the PLA search ad unit and is rapidly changing the way that shoppers engage brands through search.

Key findings from the analysis, which covers hundreds of millions of searches over the primary holiday buying weeks, include:

  • Click-through rates for PLAs have been about 95% higher than text ads while CPCs have been about 7% higher.
  • Retailers have allocated on average about 20% of their non-brand spend to PLAs throughout the holiday season.
  • PLA conversion rates have been 123% higher than text ads, while average order values (AOVs) have been about 7% lower.
  • PLAs have been effective at driving conversions on non-brand terms (i.e.  Floral Lace Dress vs. Free People Dress), often a key source for new customers.

"The click-through and conversion rates for PLAs during the holiday season have exceeded our expectations," said Michael Griffin, founder and Chief Executive Officer at Adlucent. "It's exciting to see consumers respond so positively as it means a gap is being filled in their shopping and decision-making process  - and that Google and advertisers are evolving and investing in relevant new channels."

Adlucent's Precision Product Matching technology and approach allows retailers to easily and successfully manage PLAs at the product level, carefully matching search queries to the right item and bid based on a deep understanding of consumer intent.

"Through Adlucent, we have been able to supercharge our PLA program by strategically focusing on the right products to showcase this holiday," said Jason Reeder, Marketing Manager at Skinit. "Adlucent was instrumental in providing a more nuanced understanding of why particular PLA images drive higher click-through and conversion rates. This insight, in combination with optimization of the top-performing products from over 500,000 SKUs, enabled us to achieve top PLA positioning, grow market share and drive our highest daily sales thus far." 

Adlucent brings more than 10 years of experience in performance marketing and retail analytics to help retail brands quickly capitalize on the new market share and revenue offered by Google Shopping's PLAs. Recent successes include:

About Adlucent
Adlucent is a marketing technology and analytics company based in Austin, Texas, focusing solely on retail and eCommerce companies. Leveraging its Deep Search® search marketing and retail analytics platform, Adlucent's experts help the smartest retailers acquire new customers and grow revenue profitably through digital marketing. Expanding from a decade-long relationship with Amazon.com, Adlucent's current client base includes innovative retail brands such as Oriental Trading Company, Harry & David, Jewelry Television, and Free People.

Media contact:
Lisa Roberts
Adlucent
lisa.roberts@adlucent.com
1.800.788.9152 x1917
www.adlucent.com

SOURCE Adlucent

About PR Newswire
Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

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