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Permalink Reply by Jake Robinson on October 7, 2009 at 11:43pm Hey, how did I miss a great discussion on A/B testing and targeting? Wow. :)
Like Summar and Davis have said, this is a great idea but there are tools that are doing really similar things, and the timeline of a headline's effectiveness makes this challenging.
On the other hand, this is a whole lot like testing subject lines in email. The point of that testing isn't just to optimize the email being tested; it's to inform the process in an ongoing way so that the following emails can start out from a more optimized point.
In other words, maybe what this is is more of a methodology that can be built into content authoring tools, like MarsEdit and other blogging apps. Maybe one starts with a hypothesis that a particular headline variant will appeal to a certain subset of the audience while another headline variant might appeal to another subset, and one then sets up a whole bunch of segments to test for. Once you have results that suggest that, say, the snarky headline worked well with audiences who were referred from Slashdot, but the "just the facts"-style headline worked best with audiences coming from Google, you can probably optimize future content distribution for best chance of clickthrough.
Permalink Reply by Kate O' on October 8, 2009 at 5:45am Automated Predictive Learning
* Each visitor and click is scored individually, so targeted offers can be served based on a visitor’s unique interests
* Create extensible customer profiles that include offline data, such as product holdings, credit score, time on file and other non-personally identifiable information
* Import external customer profiles in real time for heightened relevance
Automated Campaign Management
* Automatically direct site traffic in response to visitor behavior, factoring in variables such as time of day, email communications or product promotions
* Self-optimizing campaigns ensure that the most effective targeting scenarios are shown more often, accounting for environmental or seasonal changes
* Automatically promote the best performing scenarios to improve conversions for specific audience segments or across the site
Permalink Reply by Jake Robinson on October 9, 2009 at 12:54am Hey Jake, I'm very familiar with MVT (it's part of what my business offers as a service) and I'll say for Michael that I know he is, as well, and yes, that's what we were both referring to in our comments. The tool Michael was mentioning, Omniture Test&Target, has a component they used to call 1:1 which is the rebranding of their acquisition of TouchClarity, and 1:1/TouchClarity offers the ability to optimize ads and creative across high-view pages such as those on media sites. I was on the Test&Target Customer Advisory Board twice in the past few years and have heard some really cool uses of 1:1, but one thing to note is that it is a black box process once the creative is in place and the campaign is running: for better or worse, there's no human tweaking happening during optimization, as it sounds like you might be proposing. I don't know if the human tweaking is a valuable differentiator or not; I'm just trying to fill in some detail in the competitive landscape. :)
For what it's worth, here's how Omniture describes these features on the Test&Target section of their site:Automated Predictive Learning
* Each visitor and click is scored individually, so targeted offers can be served based on a visitor’s unique interests
* Create extensible customer profiles that include offline data, such as product holdings, credit score, time on file and other non-personally identifiable information
* Import external customer profiles in real time for heightened relevance
Automated Campaign Management
* Automatically direct site traffic in response to visitor behavior, factoring in variables such as time of day, email communications or product promotions
* Self-optimizing campaigns ensure that the most effective targeting scenarios are shown more often, accounting for environmental or seasonal changes
* Automatically promote the best performing scenarios to improve conversions for specific audience segments or across the site
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