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Two Years. Three Platforms. One Repeatable Lead Engine.

A healthcare brand's paid social program grew from single-channel dependency into a diversified, always-on acquisition system across Meta, TikTok, and Snapchat.

Paid Social, Lead Generation (Meta, TikTok, Snapchat)

The Challenge

What was broken.

Before scaling with ARQQA, Allure Clinics faced two compounding problems. Lead flow was inconsistent across clinics and doctors, with heavy reliance on a single channel leaving the account exposed. Acquisition costs fluctuated widely between doctors and offers, with budget concentrated in a single, increasingly saturated auction, and no cross-platform benchmark to guide where spend worked hardest.

The Approach

What we did about it.

Multi-Platform Expansion

Lead-generation programs on Snapchat and TikTok alongside Meta, spreading risk, unlocking lower-cost audiences.

Doctor & Offer Segmentation

Individual campaigns per doctor and per seasonal offer, so budget and creative could be optimized independently.

Full-Funnel, Video-First Testing

Video-view campaigns built warm audience pools, feeding cheaper, higher-intent traffic into the lead campaigns.

The Results

What it produced.

Two-year impact, combined across all three platforms:

17,367+

Total leads generated

300+

Active campaigns run simultaneously across Meta, TikTok, and Snapchat

64.4M

Total impressions delivered

Meta carried the largest share of volume, spanning lead generation and video views across every doctor and offer. Snapchat became the account's most cost-efficient lead channel, consistently posting the lowest cost-per-click of the three platforms. TikTok added the account's largest reach footprint through video-first content.

The Takeaway

What it leaves behind.

Diversified lead flow, no longer dependent on a single platform, with Meta, TikTok, and Snapchat each contributing a reliable share of leads.

Scaled from a handful of campaigns to 300+ active campaigns across platforms while improving cost efficiency.

Doctor-level and offer-level segmentation is now a proven, reusable framework for every new launch.

Two years of cross-platform data now guide where every new unit of budget works hardest, by doctor, offer, and channel.

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