SaaS / App

How Timeleft scaled UGC ad production to 100+ pieces of content and a 2x to 5x ROAS

50+ Creators hired
100+ pieces of content produced
2x to 5x ROAS
€5 CPA
10 to 20 hours saved per campaign

Overview

50+

Creators hired

- - - - ->

100+

pieces of content produced

2x to 5x

ROAS

€5

CPA

10 to 20 hours

saved per campaign

About Timeleft

Timeleft is a social friendship app that helps adults make real connections in the real world. Operating across 200+ cities in 52 countries, the app matches strangers for weekly dinners, runs, and social events based on shared values and interests. With 3M+ users and rapid international growth, Timeleft runs a performance marketing program that depends on a steady, high-volume supply of authentic UGC to fuel paid ad creative across markets.

Industry: SaaS / App
Use case: UGC for paid ads at scale
Content produced: 100+ pieces

Before Collabstr

For a performance marketing team running paid ads across multiple markets, creative is not a nice-to-have. It is the variable that determines whether campaigns scale or stall. Timeleft needed a consistent pipeline of high-quality UGC that could be tested, iterated, and deployed at volume across paid channels.

The challenge was not budget or brief. It was finding creators who could actually deliver: people who followed briefs, communicated reliably, and produced content that felt native enough to stop a scroll and convert a viewer into an install.

Before Collabstr

Creator sourcing Manual, time-intensive, inconsistent quality
Content volume Limited by sourcing capacity
Creative testing Slow to iterate, high cost per asset
Campaign performance Variable

With Collabstr

Creator sourcing Campaign posted, filtered shortlist reviewed on-platform
Content volume 100+ pieces produced across 50+ creators
Creative testing High-volume creative at low cost per piece
Campaign performance 2x to 5x ROAS · €5 to €20 CPA

What Timeleft did on Collabstr

Timeleft posted a campaign on Collabstr to find UGC creators who could produce content for paid ads. Using Collabstr's filters, the team shortlisted creators by niche and content style, reviewed profiles and portfolios before hiring, and selected the best fit from inbound applicants.

From there, creators were briefed, coordinated, and managed through the platform. The chat feature kept communication centralized. No scattered DMs, no dropped threads. Creators followed briefs, delivered on time, and stayed responsive throughout.

"The discovery process, the chat feature, the quality of creators, and the support from the Collabstr team made this the easiest part of our entire paid media workflow."

V

Vitor, Video Producer, Timeleft

The result was a scalable creative production system: 50+ creators hired, 100+ pieces of content produced, and a steady pipeline of ad-ready UGC that the team could test and iterate without rebuilding the sourcing process each time. With enough creative volume to run multiple ad variants simultaneously, Timeleft could identify top performers faster and shift spend behind what converted.

Results

Creative production

50+ creators hired through a single campaign post
100+ pieces of UGC produced and deployed in paid ads, all with usage rights cleared through the platform
10 to 20 hours saved per campaign on creator sourcing and coordination
High creator quality: briefs followed, communication reliable, videos delivered

Paid ad performance

500K to 3M+ impressions per campaign
10K to 75K engagements per campaign
500 to 5,000 app installs and signups driven per campaign
€5 - €20 CPA
2x to 5x ROAS on UGC-powered paid ads

"Collabstr helped us find quality creators and scale ad production because the platform works really well."

Vitor, Video Producer, Timeleft

What comes next

With a repeatable content production system in place, Timeleft's team now enters each campaign with a shortlist of proven creators and a growing library of tested ad creative. The focus shifts from finding creators to identifying the highest-performing content and scaling what works. The next phase expands that model across more markets, using Collabstr to source creators who reflect the local audience in each city Timeleft operates in.

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