Privacy Friendly Personalization

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Information about Privacy Friendly Personalization

Published on February 27, 2014

Author: numbakrrunch



Thoughts on how to personalize your site to improve your experience for users while being respectful of their privacy expectations

Privacy-Friendly Personalization Charlie Reverte VP Engineering @numbakrrunch

Personalized Don't judge me...

Personalized Personalized


Why Personalize? ● Funnel optimization ○ Shorten the path between a person and something they want ● Increased conversion through higher relevance ● Super-serve individual audience segments ● Streamline your site to focus users on your content, products and ads

The Next Phase of the Web ● In the beginning there were directories.. ○ Navigate a hierarchy to find content ● Then came search ○ Skip the hierarchy, just tell us what you want ● Now the web is personalizing ○ We already know what you want, here’s a great experience

Good Data for Personalization ● Infer intent from behavior ○ Demographics are a poor proxy ● Observed vs. Declarative ○ What I do vs. what I say or "like" ● Context ○ Show me something related ○ Match my mood

User-Defined Segmentation Declarative Inputs Data Output Behavioral Inputs

Personalization Pitfall: Boxing ● Boxing - is where a consumer’s vision and choices are limited by .. analytics that make judgments based on their digital history ○ Martin Abrams - Boxing and Concepts of Harm ● Already a self-selecting behavior ● Don't reinforce, however users don't want to be contradicted either

Think Discovery ● Don't spend all of your inventory on reinforcement ● Diversify user interests to broaden conversion

Cold Start: Use 3rd-Party Data ● Cold-start problem ○ Bootstrap with 3rd-party data ● Maximize yield on your earned and owned user acquisition ○ The widest part of your funnel ● Treat first time visitors as well as your loyal customers

3rd-Party Data Landscape ● Cookie-based behavioral data ○ Will be fragmented but not dead if 3rd-party cookies are limited ● Contextual extraction ○ Scrape, classify, referer, geo, time of day ● Hybrid: Contextualized based on observed behavior ○ Classify sites based on behavior + context ○ Apply to cold start

Context and Surprise What's the difference? 1st- vs. 3rd-party context? Creepy? Useful?

Minimizing the Creep Factor Privacy isn't just about PII vs. non-PII and 3rd-party cookies ● Take a user-centric approach ● Base your application of data on user sensitivities and expectations of privacy ● Avoid surprising users ● Clarify whether they're anonymous or not ● Leverage real-world paradigms ○ Users know how their "street identity" works

Transparency and Control Empower your users..

Summary ● Privacy-friendly personalization is a valueadd to users ● Take a user-centric approach to privacy ● Build trust through transparency and control ● Apply 3rd-party data to unlock your site's full potential

Questions? Charlie Reverte VP Engineering @numbakrrunch

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