I had a strange and wonderful idea today, sparked by discussions with friends about genetify. Sooner or later, someone will put so many genes in their pages that it will be hard to evaluate the effect of any single variant on a distant goal. To cope, the webmaster could create separate sub-goals for particular pages where appropriate. For example, knowing that a user who ultimately buys a product must pass thru the product's detail screen,
you could make the detail screen a sub-goal. But couldn't this whole process of creating sub-goals be systematized? Every page should in principle make some quantifiable contribution in the path to a goal. And couldn't genetify itself be used to discover these page-values?
Imagine every link on a page is genetified to comprise two variants: onclick="goal(1)" and onclick="goal(0)". This means that links that lead to pages with goals will have the "goal(1)" shown more frequently. In fact, "goal(1)" should eventually be shown in proportion to the average goal total reached on the following page. Therefore, critically, every page would also have a single goal fired by default whose value is equal to the sum of its "goal(1)" links. This means that the value of outgoing links is passed on to incoming traffic. Because this works across any two neighboring pages, an arbitrary number of pages could then be chained together in a value-chain. The real-world value of some far-away externally defined goal (think of a purchase) could be made to cascade thru a whole tree of supporting pages. Most important, at every node in the tree, the page-value would be proportional to its contribution to the ultimate goal.
Pretty crazy, huh?!
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Making genetify use a network of goals perhaps turns it into some kind of neural network.
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