CASE STUDY

Fintech App

This personal finance app aimed to scale its presence in mature, competitive markets like the US, UK, and Canada. Despite having strong product-market fit, previous campaigns struggled to maintain efficiency at scale, with a high CPI and low return on ad spend. SBC Performance was brought in to redesign the full media-buying approach — aligning platforms, creatives, and funnel logic to drive cost-effective growth.With a focus on creative performance, audience segmentation, and cross-platform activation, our team helped the client rapidly improve both efficiency and scale — unlocking profitable user acquisition in under 90 days.

PRODUCT
MOBILE APPS
PLATFORMS
GOOGLE, META, TIKTOK
INDUSTRY
INTERFACES
SERVICE TYPE
FULL MEDIA-BUYING
challenge

The client needed a scalable acquisition setup that could deliver consistent results across platforms, from lowering acquisition costs to improving lead or install quality.

Previous campaigns often lacked targeting depth, used outdated creatives, or weren’t aligned with clear funnel stages and business goals. To solve this, we redefined campaign architecture, focused on value-led messaging, improved creative testing velocity, and built a tracking system tailored to real business metrics — from CAC to ROAS or ARR.

Working Process

Every step of our process is driven by data, built for testing, and optimized for performance.

Free Audit

We review your current campaigns, product visibility, and search gaps to build a stronger structure for growth.

FAST LAUNCH

No delays — we activate your campaigns instantly through our agency-level in-house ad accounts.

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Optimization

We manage daily A/B tests, budget pacing, and bid strategy — always focused on your KPIs.

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Reporting

We track what really matters: user value over time, not just the first click. Integrated with Firebase, AppsFlyer, or Adjust.

WHAT WE DID

To improve acquisition performance, we restructured the client’s entire growth strategy — combining audience data, platform insights, and creative testing into a performance-driven framework built for scale.

Funnel redesign and channel alignment
We rebuilt acquisition funnels across Meta, TikTok, Apple Search Ads, and Google, ensuring each platform had a clearly defined role in the customer journey. Campaigns were aligned by funnel stage, user intent, and platform strengths.

Creative development and testing
Over 100 creatives were produced and tested, focusing on behavioral hooks such as saving money, building financial habits, and avoiding overspending. Messaging was tailored to financially conscious audiences across devices and geographies.

Keyword optimization and segmentation
In Apple Search Ads, we structured campaigns around high-intent transactional and budgeting-related keywords. On other platforms, audience segmentation was refined by device type, behavioral data, and engagement level.

ROAS-focused bidding and analytics
We implemented value-based bidding strategies designed to balance short-term acquisition with long-term retention. Custom dashboards were built to track daily CPI, ROAS, and cohort performance, supporting continuous optimization and strategic decision-making.

RESULTS

The campaign delivered measurable gains across every key market.

✅ CPI dropped from $7 to $2.71 within just eight weeks of launch.
✅ ROAS improved to 3.4x, outperforming the client’s target CAC-to-LTV benchmarks.
✅ Over 250,000 new installs were generated within the first three months of the campaign.

This approach not only unlocked scalable paid acquisition but also built the foundation for predictable, sustainable performance — allowing the client to confidently expand reach and reinvest with clarity.

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FULL CASE STUDY
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Fintech App

Scaled a personal finance app across US, UK, and Canada with cross-platform campaigns, reducing CPI from $7 to $2.71 and generating 250K installs in 3 months.

FULL CASE STUDY
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Make scaling safe and performance repeatable

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Your growth deserves more than guesswork. It needs proven strategies, data-backed decisions, and a partner who turns performance into predictable, scalable results.

Let’s build what works.

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