Optimization and Monetization
From InfoCamp
How to make the Dark Side work for you...
- Speaker: Rachel Elkington, Online Test Designer
"conversion" is the point at which you capture revenue, not necessarily the user's goals, but the business goal
optimization testing
- presupposes analytics, the ability to measure test results, so you can compare against a benchmark
monetization
- a lot of UX designers hate monetization
- using complex modeling to estimate the value of any particular action (like requesting a quote having a 10% chance of ending up buying the car)
- Q: doesn't this skew metrics? won't I just now make the entire website a "request a quote" button?
definitions of optimization
- to make something as awesome as possible by some agreed-upon metric
- my definition: the practice of understanding user behavior by testing alternatives, measuring outcomes quantitatively and making changes to UX based on that
- optimization will improve the practice of user-centered design
UX literature is full of hypotheses
optimization tests
- a/b/n
- 50% of your users randomly will see the control (the blue button)
- 50% of your users randomly will see the new red button
- if you can show that your user experience change makes X dollars for your client, you can prove it
- multivariate
- different options for copy, different versions of the image, different number of buttons, etc.
- your tool can show you the best combination
- combinatorial
- multiple variables in a path through a website
- behavioral targeting
- not every user is the same: power users and novice users, different audiences, etc.
- optimizing by showing a different variant to different people (based on which pages they came to before they got there)
- lots of tools for this: free ones and expensive ones
- try out Google Optimizer
don't do a random, throw it against the wall test
- be hypothesis-driven, so even if the control is better than your variant, you'll have learned something about your users
big design decisions vs. perfecting
- (performance-driven design)
- if creative and user experience conflict and neither is giving ground on the basic design
- use optimization at all levels: at design, implementation and analytics/optimization
gives UX a tool and holds UX accountable
- but also provides a sense of safety, check on your intuitions
optimization is the key to stakeholder-wrangling when making design decisions
- gives a way for UX to help the client see when a particular variant they really like isn't the best way to go
- people are much more willing to test more than one idea
- "monetization doesn't lie" [ha!]
optimization doesn't help you determine the goals: have everyone agree up front on metrics for success
monetization can help you see where to focus (the parts that actually make a lot of money)
start with a free tool and a simple test document what you were trying to test measure everything and repeat then, try a monetization model (equivalent values as a first test)
