Quantcast Growth hero
Quantcast Growth 2017–2018
Product Design UX/UI

Quantcast Growth

Overview

The Growth team was responsible for expanding the self-serve customer base for Quantcast Measure — our website audience analytics tool. We ran A/B tests on the product itself, sent onboarding emails to drive successful tag installation, kept users informed about new features, built blog content, and ran user research to keep all of it grounded.

Team: Product Marketers, Analytics, User Researcher, Software Engineer
Role: Designer

Publisher Product Growth Team activities
Publisher Product Growth team activities
Feature Announcement Emails

The fastest way to surface a new feature to existing users — but only if the email itself communicated the value before the reader's thumb left the preview pane.

Content segments email animation
Content Segments — animated announcement email
Content segments email — variant B
Content Segments — variant B
Product announcement email
Product announcement email
Monthly Report Emails

Because the product didn't have automated reporting yet, the team manually generated monthly data reports to keep users engaged with their own profiles. The design challenge was building one set of graphics that could carry both the email digest and downstream use.

Email mockup
Monthly report email mockup
Monthly report v1
Monthly Report v1 — traffic data
Monthly report v2
Monthly Report v2 — audience data
Blog Content

Long-tail content like top-performing-websites roundups drove organic traffic and gave the sales team something concrete to point to in conversations.

Blog post about top-performing websites for moms
Blog post — top-performing websites for moms
Quantcast Measure Chrome Extension

To deepen engagement, we shipped a Chrome extension that surfaced basic traffic and demographic data on any site, supported lightweight market research, and gave users diagnostic feedback during the tag/pixel installation process.

Chrome extension
Chrome extension on a site with a working Quantcast Measure tag
Quantcast tag not present
Diagnostic state — Quantcast tag not present
In-Product Experiments

The Growth team's leverage came from A/B testing inside the product itself. Two experiments stand out: rebuilding the blank state of the setup flow, and redesigning the Browsing Interests module in Measure.

Blank State Engagement

The first run of experiments transformed the initial product setup screen from a literal blank state into something with content. The goal was to lift tag installation success — and to give users a useful thing to do while they waited for data to flow.

Onboarding blank A
Blank state — variant A
Tag added A
Tag added — variant A
Onboarding blank B
Blank state with FAQ — variant B
Tag added B
Tag added with FAQ — variant B
Browsing Interests Redesign

The old Browsing Interests tab used expandable charts. We tested a heatmap-style visualization that read more like a glance and less like a research exercise. Usage went up meaningfully, and the experiment graduated into the product.

Browsing Interests — before
Browsing Interests — before
Browsing Interests — after
Browsing Interests — after (indexes are based on a baseline value, typically 100)
Browsing Interests — detail
Browsing Interests — detail view
Marketing Site Signup Flow

Parallel to the in-product work, we tested signup variants on the marketing site — copy, layout, hero treatment — to find which combination converted self-serve customers most efficiently.

Signup variant
Measure signup — variant 1
Signup variant
Measure signup — variant 2
Signup variant
Measure signup — variant 3
Signup variant
Measure signup — variant 4
Marketing hero experiment
Marketing hero — winning experiment
Measure blank state
Measure blank state — final treatment
Retrospective

Embracing data-driven design. The Growth team was my first stop where design decisions defaulted to data instead of opinion. That meant systematically capturing, analyzing, and interpreting the right metrics — and being willing to be wrong, often.

Building things and understanding how they work. Picking up PHP and JavaScript basics while collaborating with engineers made the iterative loop feel much shorter. Less hand-off, more co-build.

Continuous improvement. Even when a test won, we'd keep testing for more data and incremental gains. A test could be as small as a copy change — the discipline was running it, not finding the perfect one.