Categories
- Channel Analytics
- Inside Discover
- Marketing Integration
- Migration
- Omniture Business
- Online Marketing
- Online Merchandising
- Search Engine Marketing
- SEO
- Site Search
- Social Media
- Testing and Targeting
- Web 2.0
- Web Analytics
Authors
- Aseem Chandra (3)
- Adam Egbert (6)
- Adam Greco (46)
- Alex Hill
- Adam Justis (2)
- Brent Dykes (35)
- Nate Smith
- Ben Gaines (52)
- Brig Graff (5)
- Bret Gundersen (4)
- Brandon Hartness (2)
- Brian Hawkins (4)
- Brent Hieggelke (6)
- Bill Mungovan (16)
- Ben Robison (8)
- Brent Watson (7)
- Cameron Cowan (4)
- Chad Greenleaf (2)
- Chad Warren (3)
- Chris Haleua
- Chris Knoch (4)
- Christopher Parkin (18)
- Christian Ridge (2)
- Customer Success (21)
- Chris Zaharias (6)
- David Humpherys (2)
- David Kirschner (5)
- Ed Hewett (19)
- Eric Hansen
- Harrison Jenkins
- Jacob Favre
- Jeremy Anderson (1)
- John Bates
- John Broady (10)
- Josh James
- Jordan LeBaron (5)
- Jim McTiernan (2)
- Jeff Minich (9)
- Jose Santa Ana (2)
- Justin Grover (6)
- Kiran Kairab Ferrandino (8)
- Kevin Lindsay (5)
- Karl Moats
- Kevin Willeitner (4)
- Laura MacTaggart (5)
- Matt Freestone (1)
- Matt Belkin (35)
- Mikel Chertudi (12)
- Melinda Kersey
- Michael Halbrook (10)
- Michael Klein (4)
- Matt Langie (6)
- Marianne Llewellyn (2)
- Meme Rasmussen (1)
- Neil Morgan (6)
- Natalie Lacuesta Byrum (1)
- Pearce Aurigemma (29)
- Raj Sen
- Ray Pun (9)
- Richard Carey
- Roger Woods (2)
- Rhett Norton
- Rich Page (1)
- Siddharth Chaudhary (2)
- Steve Gustavson (3)
- Steve Hammond
- Tamara Gaffney (3)
- Tim Lott
- Tim Waddell (5)
- Wes Funk (4)
Pages
Recent posts
- Adobe SocialAnalytics European Launch Roadshow
- Finding Online Success through Powerful Testing and Optimization
- Put your customers in the driver’s seat with customization
- Think Targeted Merchandising as You Head into Holiday Selling Mode
- iOS App Measurement Updates for iOS 5 and UDID
- A Thousand Points of Insight Part Three: Adobe Genesis 3.0 Unveiled
- Wrangle Your Tags with Adobe TagManager
- A Thousand Points of Insight, Part Two
- Are You Using Web Analytics To Power & Improve Your Testing?
- B2B Emailers have a T-Rex problem
Recent comments
- Franklin: Does the 11/10/11 …
- Ameer: I was trying to track…
- air jordan: Bakers Shoes lev…
- Toner online: This is an imp…
- Bret Gundersen: Scott, we ar…
- avril redmond: is theire any…
- Scott Calise: I just want to…
- Jorgen Sorensen: @Chris - I …
- Chris: Thanks for the heads-…
- Clubmz Reviews: Eventually i…
Links
- DigitalAlex
- eMetrics (Jim Sterne)
- Forrester Research (John Lovett)
- Future Now’s grokdotcom
- immeria
- June Dershewitz on Web Analytics
- Lies, Damned Lies
- LunaMetrics
- Mine That Data
- Occam’s Razor
- Rich Page Ramblings
- SemAngel
- The Analytics Guru
- The Omni Man
- Web Analysis, Behavioral Targeting and Advertising
- Web Analytics World
Archives
Automated Recommendations — Not Just for Products Anymore
More and more publishers, lead gen sites, or for that matter any business striving to provide relevant and helpful content to its visitors, are turning to automated recommendations. Sites looking to achieve more “stickiness”, increase page views (and therefore ad revenue) or generate subscription conversions find that by showing visitors or readers the most popular, often read or even most shared articles (through email, social media sites, etc.) they get better results — compared to those with no recommendations or manually created ones.
A little while back we deployed Omniture Recommendations on our Web site based on most popular views and downloads. As a company focused on online marketing solutions, it shouldn’t be too surprising that we use our own products as marketing tools (alright, true - lots of companies don’t, as they say, “eat their own dog food”). Our Web team does a great job of optimizing content to ensure that we’re giving Omniture.com visitors the kind of information they’re looking for. The site now recommends content like on-demand webinars and case studies.
As you can see, we’ve placed recommendations on sidebars on a variety of pages. In some cases we’re testing automated recommendations against static default content. And the automated recommendations are winning out: since deploying recommendations on Omniture.com we’ve seen 25% to 45% increases in cross-site conversions! What does this mean? It means that we’re doing a better job of connecting the right people with the right content. And for any business, this kind of relevance is vital to delivering a positive customer experience.
Next post: I’ll share some thoughts with you on how our customers are getting pretty creative when it comes to leveraging SiteCatalyst metrics to influence recommendations and optmize relevance for their customers.
