Tinder · Product + lifecycle

I built reasons to open Tinder right now.

My work at Tinder sat between product and lifecycle: LiveOps experiences built for right now, without waiting for a client release, and targeted campaigns that brought the right people back at the right moment.

Tinder Vibes New Year experience
Vibes
Tinder Swipe Surge introduction
Swipe Surge
Tinder buy-one-get-one Boost campaign
Boost

01 · Vibes

A global product built to last two days.

Vibes matched people through their answers to fun, timely questions. I built it on Tinder's custom LiveOps platform, so we could control the theme, prompts, art, and timing without a client release.

Every edition had a shelf life. New Year's Vibes asked about resolutions, ran globally for two days, then got out of the way.

40languages
2 dayslive per edition
0client releases
Music edition of Tinder Vibes
A new theme could reshape the whole experience.
New Year edition introduction for Tinder Vibes
Every edition had a reason to exist now.
New Year Vibes question about what someone wants to cut back on
Answers gave people something new to match around.
French translation of a Tinder Vibes question
One experience, 40 languages.

02 · Swipe Surge · LiveOps

Make tonight's intent visible.

Swipe Surge was another LiveOps experience we could launch without a client release. It stayed deliberately light: pick what you were down to do, choose up to three emoji, and add the signal to your profile for the night.

It said more without asking someone to rewrite a bio. The state disappeared because the answer was about tonight, not who someone had to be forever.

01Open Swipe Surge
02Choose the plan
03Signal it tonight
Swipe Surge opening screen
A full experience shipped inside Tinder without a release.
Swipe Surge categories including Casual Chat, IRL Meetup, Adventure, and Nightlife
Start broad. Keep the choice easy.
Swipe Surge screen with Nightlife selected and three activity emoji
Three emoji made the intent specific.

03 · Boost

Put the offer in the right moment.

I built BOGO and holiday Boost campaigns around one rule: the offer should match the person and the moment.

Machine-learning targeting helped find the people most likely to respond. From there, each campaign needed one timely reason, one clear offer, and a direct path to action inside the product.

Buy-one-get-one Tinder Boost campaign
A concrete offer with immediate value.
Holiday Tinder Boost campaign
A seasonal moment gave the product a reason to surface.