Episode Details

In this episode, Cristina (SVP, Marketing) and Chuck (Front‑end) discuss private marketing at DuckDuckGo, from making decisions with less data to the role of privacy engineers in marketing projects.

Disclaimers: (1) The audio, video (above), and transcript (below) are unedited and may contain minor inaccuracies or transcription errors. (2) This website is operated by Substack. This is their privacy policy.

Cristina: Hi, and welcome to DuckTales, where we go behind the scenes at DuckDuckGo and discuss the stories, technology, and people that help build privacy tools for everyone. In each episode, you’ll hear from employees about our vision, product updates, engineering approach to AI, or how we operate as a company. Today, we’re going to chat about how most companies collect a ton of information through their marketing activities and how DuckDuckGo, given our privacy policy of we don’t track you, do things like attribution very differently.

I’m Cristina, I’m on the marketing team, and today I’ll be interviewing Chuck. Chuck, you wear a lot of different hats. Can you introduce yourself and some of what you work on?

Chuck: Sure. ⁓ I am technically on the front end team and work on the front end of our search projects, our products, and our subscription products. ⁓ But I ultimately do whatever I need to do to get the job done, which is kind of our DuckDuckGo ethos. I do some product management, some data science, back end engineering. I work with the marketers. It’s fun. ⁓ And I need access. So getting to where lots of them is.

Cristina: Hahaha. Fair enough. Well, thank you. So much like our product philosophy, privacy is core to the ethos of our marketing. There are so many common practices we don’t do, identifying and targeting individual users, retargeting, using behavioral data, using third party cookies and pixels, the list goes on. And we’ve also declined working with a lot of vendors because they don’t meet our privacy standards. As a consumer, that’s something I really appreciate.

But frankly, as a marketer, it makes the job very hard. But it’s getting a bit easier thanks to work from people like Chuck, which is why I was so excited to talk to you today. So Chuck, when you first started working with the marketing team, what was your reaction to our limitations and what we were hoping to achieve?

Chuck: Honestly, I was a little shocked. ⁓ There’s a pretty well-understood playbook for how marketing in a space like this should look. A playbook of tactics and tools that are well-understood. And every company will do it differently, and every brand and product will have their own personality. But we pretty much use none of those tools.

Cristina: Yeah, can you help people understand what the industry norms are for marketing attribution and data and how we do it differently?

Chuck: So when you visit your favorite social media site and it’s trying to decide how to fill the ad slot in your feed, the ad platform will take what it knows about you as a person, your search history, who you follow, and what it knows about your situation, like where you are and who you’re with, and line it up with their ad inventory. They’ll do some very complex math to determine the perfect ad to show you that will maximize profits for the platform and the advertiser. So the more better data they have about you