Posts Tagged ‘omniture-discover’

Brant Barton Partner Interview: Chris Duskin, Sr. Director of Product Management, Omniture Test&Target

May 2nd, 2008 by Brant Barton Co-Founder and Chief Innovation Officer

After Omniture's acquisition of Offermatica late last year, I made a note to catch up with Chris Duskin, who is now part of the Test&Target team at Omniture.  Testing, optimization, and targeting solutions have come a long way since my first experiences with Offermatica, Optimost, and others, so I wanted to tap Chris for ideas on how to apply these advanced technologies to the task of optimizing social commerce and social influence marketing.  I've spoken with a number of customers and prospects about their plans to invest in this area, so I hope this interview is helpful to those efforts.  

1. Let's discuss Omniture Test&Target – I associate Test with Offermatica and Target with TouchClarity, two companies and technologies that Omniture acquired separately.  Why do they fit together so cohesively?

The capabilities that TouchClarity and Offermatica delivered separately didn’t really overlap and are even more powerful when used together. People often think of basic A/B testing as being on one end of the online optimization spectrum and fully automated one-to-one predictive targeting as being on the other. But in between are a variety of other capabilities like geo targeting, targeting to marketer-defined behavioral segments, multivariate testing, and automated champion-challenger tests. Marketers can benefit from all these capabilities and, with Test&Target, can use them together to truly change the game for their business. You may learn from a one-to-one campaign on your home page that a particular behavior is predictive. Well, you might then target the segment of visitors that hasthepredictive characteristic in a landing page campaign. At the same time, you might be running a multivariate test (MVT) on your registration page and an A/B test on calls to action throughout your site. Test&Target averages about 14 active tests or campaigns per customer at any time, which is a testament to the impact of putting marketers in control, enabling them to try ideas quickly, and automating key parts of the optimization process.

2. Our customers are often interested in A/B testing the impact of customer reviews and other user-generated content.  What are the key considerations and test design factors to keep in mind when planning this type of test? What types of impact should customers look for, beyond the obvious like conversion?

Every test will have a specific goal and will be associated with a success metric. A company’s initial tests typically focus on conversion rate or revenue per visitor, but more sophisticated tests also consider metrics like registrations, cart abandonment rate, newsletter sign-ups, and participation in a site’s community. With product reviews, a key event is always review contribution. But whether people page through reviews as a result of your test is also important since it reflects meaningful engagement with the content.

In addition to thinking about success events, marketers should also consider visitor segments when creating their tests. Different types of visitors will respond differently to your alternatives. What matters to the person who frequently contributes to reviews might not matter at all to someone who only reads reviews, which of course suggests that I need to target different experiences and content to different types of visitors. We published an interesting case study from CNET related to this concept. On their mp3.com site, they relocated an artist photo widget to the top of the page for visitors who had previously interacted with that widget in its original, below-the-fold location. They saw a double-digit increase in engagement for those customers. And, the best part of the story is how quickly they turned a simple idea into an effective test using Test&Target. It took less than an hour to create the visitor segments, design the test, and launch it. Nobody from IT was even involved.

With product reviews, there are a lot of opportunities for testing and targeting beyond the product detail page. How can I use product review information in gift registries? Do star ratings in the cart reduce abandonments? Do I get more reviews when I target a homepage review solicitation to past purchasers?

3. The possibilities of behavioral targeting based on social engagement are virtually limitless – how should companies leverage the behavior of writing a review, asking a question about a product, or simply using reviews (sorting, searching, etc.)?

When people interact with UGC, they’re telling you something about what is relevant to them. Marketers can use these signals to target more and more relevant experiences. Of course, they’ll need to use testing to evaluate their efforts because people’s interests change – what was effective last year, last month, or last week might be less effective today. Companies using Test&Target to capitalize on this opportunity have developed a culture of optimization that embraces the ongoing and iterative nature of testing and targeting. Marketers are empowered to make site changes without waiting for IT, can try new ideas quickly, and can use predictive models that respond instantly to changes in interests. Gone are the days when you had to write one MRD to put up a new promotional banner and another MRD to pull it down a week later.

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Brant Barton Partner Interview: Chris Parkin, Sr. Director Product & Solutions, Omniture

February 7th, 2008 by Brant Barton Co-Founder and Chief Innovation Officer

This month, Chris Parkin from Omniture, a Bazaarvoice partner, shares his insights on the rapid evolution of the web analytics industry and the new measurement and optimization challenges that go hand in hand with the rise of social media & commerce.  Chris has been a key contributor to the wide industry adoption of Omniture Genesis, the company's highly successful partner integration platform, so we were eager to pick his brain.    

1. User-generated content and word of mouth marketing provide a new opportunity for analytics solutions to demonstrate value.  What are the unique challenges of UGC and WOM?

I’m a big fan of John Hagel’s blog “Edgeperspectives.”  Some of the concepts he advances are particularly pertinent here, especially with respect to companies’ need to “adapt or perish…”  The world of UGC and WOM is really about collaborative marketing – embracing your customers’ perception that THEY own your relationship with them.  This is a significant hurdle for traditional marketers to overcome.

There is no “I” in adapt.  Conventional marketing attempts to:

  • Intercept: target and expose customers to your message wherever you can find them
  • Inhibit: make it as difficult as possible for the customer to compare your product or service offering with any other options
  • Isolate: enter into a direct relationship with the customer and, wherever possible , remove all third parties from the relationship

There are “A’s” however.

  • Attract: create incentives for people to seek you out
  • Assist: one of the most powerful ways to attract people is to be as helpful and engaging with them as possible
  • Affiliate: mobilize third parties, including other customers, to become even more helpful to the people you interact with
  • Analyze: as you are embarking on these new strategies it’s critical to have a compass.  Analytics provides the critical insight needed into what’s working, what isn’t and where to optimize.

2. Put yourself in the shoes of the VP of eCommerce at a retailer that uses both Bazaarvoice and Omniture.  What would be your top priorities, with respect to our solutions, and why?  What KPIs should Bazaarvoice clients be monitoring regularly?

I would first ensure that our respective technologies are integrated via Omniture Genesis so that the business has clear visibility into strategy performance. There are many areas that one could focus their time, but if I were the VP of eCommerce, the two optimization priorities I’d focus on from the word “Go!” are:

Popularity Optimization: Identify the contributors as well as the UGC that attracts the largest audience.  The KPIs to keep a close eye on here include: number of views, repeat frequency and time spent on the site.

Influence Optimization: Popularity is great, but it’s also good to understand the influence that specific contributors and content have on driving success.  KPIs for the eCommerce VP here should be order participation, and revenue participation.  What they may quickly learn is that one contributor’s reviews are more popular, but may generate fewer orders and revenue than a less popular contributor. They should craft strategies to better leverage influential contributors.
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