Will Scully-Power: Managing Director, Datarati


Google Turns on re-targeting
March 28, 2010, 6:46 am
Filed under: Datarati, Search | Tags: ,

Google has launched what it calls ad “retargeting.” If someone visits a page on an advertiser’s own site or YouTube channel, Google can now show a related follow-up ad to just that person when they visit another site which shows Google ads.

Since there are millions of sites in the Google Content Network, chances are Google will see them again.

The program has been in beta since March, but it is now being rolled out to all AdWords customers.

More: http://techcrunch.com/2010/03/25/google-ads-follow/



Its all about the data
March 26, 2010, 5:05 am
Filed under: Data, Datarati | Tags: ,


The world of email SPAM Visualised
March 25, 2010, 12:20 am
Filed under: Data, Visualisation | Tags: ,

Infographic of the growing amount of SPAM email.

More: http://flowingdata.com/2010/03/24/the-growing-plague-that-is-spam/



Meet Duncan Brett, – Customer Insights at eBay Australia & New Zealand

Announcing a new Meetup for Sydney Data Miners!

WHAT: Meet Duncan Brett, – Business Analyst, Customer Insights Team at eBay Australia & New Zealand

WHEN: Wednesday, 7 April, 2010 5:45 PM – 7:00PM

NOTE **** CHANGE OF VENUE ****

WHERE:

University of Technology Sydney (UTS)
Building 10, Faculty of Engineering and Information Technology
Crn of Broadway & Jones Street
Sydney

Map: http://www.uts.edu.au/about/mapsdirections/bway.html

TOPIC:

With 1 of the largest data warehouses in the world eBay relies heavily on this rich source of information to target specific customers for promotions. 2009 saw a unique set of challenges for most businesses, eBay not excluded. Promotions was just 1 way eBay AU turned the business around in 2009 and ended the year posting results that the global business is calling ‘The Boomerang”. This presentation will aim to show analysts and marketers alike how our data warehouse was used to both target Buyers & Sellers pre promotion and also analyse the transactional activity post promotion in order to calculate ROI. In 30 minutes we will go through some examples of particular promotions, how the targeting was done, what were the objectives and ultimately how did we measure success.

Duncan Brett Bio:

With a total of 7 years experience in online analytics, Duncan Brett has been providing customer insights at eBay Australia for 3 years now. In a heavily data driven role Duncan uses a mix of technical & logical skills to solve problems presented to his team by a variety of business units within the company. As the go to person for customer insights, Duncan’s analysis covers everything from Buyer acquisition, category performance and customer segmentation.

DON’T MISS OUT!

REGISTER FREE NOW: http://www.meetup.com/datarati/calendar/12982473/



Free Tools for Web Analytics, Search, Social Media & Competitive Analysis

Here is a quick guide to some free tools for web analytics, search, social media and competitive analysis thanks to Anil Batra:

List: http://webanalysis.blogspot.com/2010/03/free-tools-for-web-analytics-search.html



Compete.com Panel Data Methodology Whitepaper
March 23, 2010, 10:59 am
Filed under: Datarati, Research, Web Analytics | Tags: , ,

The release of the new Compete Data Methodology white paper.

In it, you’ll find information on:

  • Their multi-source panel approach
  • Their unique people calculator
  • Their normalisation techniques
  • Their online metrics

Download: http://lp.compete.com/landing-229Y-387N3.html



Email Leading Channel for Use of Web Data
March 23, 2010, 10:50 am
Filed under: Datarati, Email Marketing, Research, Web Analytics | Tags:

Email is the most popular marketing channel for the application of web data.

Seventy-four percent of marketers currently use web data to complement their email marketing offer decisions, and another 18% are planning to use it in the next 12 months and 5% are planning to use in longer than the next 12 months.

Only 1% of respondents have no plans to integrate web data with their email marketing channel and 2% are not sure.

More: http://www.marketingcharts.com/direct/marketers-use-web-data-in-offer-decisions-12282




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