I will be talking about persuasion. Means vs. Ends Distinction.
An example of persuasion. 27% more likely. 33% more likely
Briefly go through each of the six: Consensus (previous example) Liking (Similarity wallet example) Expertise (Milgram example) Commitment (Sign in garden example) Scarcity (Abundantly available example) Reciprocity (Free books example)
They are already used online (Scarcity, Concensus, Scarcity)
Talk about the google add study
Does everyone respond in the same fashion?
Talk through the two scenarios.
What are persuasion profiles?
So for each user its an estimate of what works. Which then can subsequently be used to select content.
That basically is new…
How do you actually use persuasion profiles?
Persuasion Profiling is changing the concept of marketing without you even knowing it! 1Beta Launch presentations Q2 2012
Me Chief Science Officer PersuasionAPI Researcher at: Eindhoven University of Technology Aalto School of Economics (Helsinki) Stanford University (Stanford) 2Beta Launch presentations Q2 2012
Q1: Persuasion? • The goal of persuasion is to change someone’s attitudes or behavior.Beta Launch presentations Q2 2012 3 3
Q2: Does that work? • Slide reuse the “Please with “Please reuse “Please reuse towell example towel. your towel” your your towel. Most people Most people reused their who stayed in towel during this room their stay” reused their towel during their stay”Beta Launch presentations Q2 2012 4 4
It’s how you ask… It’s only partly what you want people to do, it’s how you ask it! 5Beta Launch presentations Q2 2012
Q3: How do we use this? Should we use all the persuasion we can think of? 8Beta Launch presentations Q2 2012
No! • Slide with the Clicks onexample towell multi-principle ads: .18 % And on single principle ads: .36%Beta Launch presentations Q2 2012 9 9
Q4: Are we all the same? Should we use the same principles for everyone? 10Beta Launch presentations Q2 2012
2 Scenarios: Average Average Individuals Individuals - + - + Effect of using a strategy Effect of using a strategyBeta Launch presentations Q2 2012 11 11
We are different, but consistent… 12Beta Launch presentations Q2 2012
Persuasion Profiles Wouldnt you like to know how to adjust your (online) presence in a way that you increase the chance of conversion for each user individually? 13 13Beta Launch presentations Q2 2012
Persuasion Profile: Normal Page: A1 (Scarcity): A2 (Authority): A3 (Consensus): Effect •A persuasion profile is a collection of the estimates of the effect of persuasion principles for each individual user 14 14Beta Launch presentations Q2 2012
It’s a new dimension: 15Beta Launch presentations Q2 2012
Q5: How is it done? How can you use persuasion profiles on your website, in your emails, or in other channels? 16Beta Launch presentations Q2 2012
Step 2: You integrate with the PersuasionAPI Cloud Services Your web server PersuasionAPI server 1) Point to PersuasionAPI Service 2) Dynamic adjustments on Page based on PersuasionAPI adviceid 3) Hooks for user behavior monitoring (log event, view event, success event) 18Beta Launch presentations Q2 2012 18
Example of adjusted page •1: Log Client ID (e.g. via dynamic image, cookie, etc) •2. Link(s) to log success of the Sales Strategy •3. Hooks to log non- responsiveness to a Sales Strategy 19Beta Launch presentations Q2 2012 19
Step 3: We log the success Normal Page: A1 (Scarcity): A2 (Authority): A3 (Consensus): Effect • Based on the dynamic image and the link we can monitor the success of each page served to a user. • We will keep updates of the average performance of your served page variations, and of the performance for each client. 20Beta Launch presentations Q2 2012 20
Step 4: We improve our advice Normal Page: A1 (Scarcity): A2 (Authority): A3 (Consensus): Effect • Based on the response of each client we will update our advice for that user • The new advice is a combination of the response of that client, as well as that of other clients 21Beta Launch presentations Q2 2012 21
Step 5: User navigates, we improve First page served: Second page served: Third page served: Normal: Normal: Normal: A1: A1: A1: A2: A2: A2: A3: A3: A3: Effect Effect Effect • And so on, for each individual client... • Real time analytics is most effective in predicting behavior 22Beta Launch presentations Q2 2012 22
Explore vs. Exploit What if it’s the first visit? How much learning do you need? 23Beta Launch presentations Q2 2012