Appvertiser AI Logo

AI Platform

Growth Services

Creative Studio

Resources

Growth Strategy

Fintech

Dave: Scaled Monthly UA Spend from $120K to $2.5M

Dave: Scaled Monthly UA Spend from $120K to $2.5M

How Appvertiser AI scaled Dave's UA spend by 1,983% through multi-channel bid strategy optimization across 4 ad networks.

How Appvertiser AI scaled Dave's UA spend by 1,983% through multi-channel bid strategy optimization across 4 ad networks.

Trusted by teams behind leading apps & games

Trusted by teams behind leading apps & games

EXECUTIVE SUMMARY

Appvertiser AI partnered with Dave, a digital banking app with 10M+ users, to scale monthly UA spend from $120K to $2.5M — a 1,983% increase — through bid strategy optimization across Google Ads, Apple Search Ads, TikTok, and Snapchat. Dave went from a unicorn startup to a $4B valuation and a successful IPO during the engagement.

Appvertiser AI partnered with Dave, a digital banking app with 10M+ users, to scale monthly UA spend from $120K to $2.5M — a 1,983% increase — through bid strategy optimization across Google Ads, Apple Search Ads, TikTok, and Snapchat. Dave went from a unicorn startup to a $4B valuation and a successful IPO during the engagement.

REGION

United States

CHANNELS

Google Ads, Apple Search Ads, TikTok Ads, Snapchat Ads

CAMPAIGN GOAL

User Acquisition Scale

$2.5M

$2.5M

Monthly Spend

+198%

+198%

Growth Strategy

4

4

Networks

-35%

-35%

CPI

01 / CHALLENGE

The constraint

The constraint

Dave needed to scale UA beyond $120K/month without destroying unit economics. Every attempt to push past this threshold resulted in rising CPIs and diminishing returns, requiring a partner that could test new audiences and bid strategies continuously to decrease CPI/CPA at scale.

Dave needed to scale UA beyond $120K/month without destroying unit economics. Every attempt to push past this threshold resulted in rising CPIs and diminishing returns, requiring a partner that could test new audiences and bid strategies continuously to decrease CPI/CPA at scale.

02 / STRATEGY

The operating model

The operating model

Multi-channel bid strategy optimization across 4 networks with continuous audience testing via unique creatives per segment and disciplined spend scaling based on real-time performance signals.

Multi-channel bid strategy optimization across 4 networks with continuous audience testing via unique creatives per segment and disciplined spend scaling based on real-time performance signals.

03 / EXECUTION

The system in motion

The system in motion

Systematic rotation between Lowest Cost, Auto-Bid, and Max Bid strategies adapting to market conditions per platform. Constant audience testing cadence — identifying new segments, scaling winners, cutting underperformers. Methodical spend ramp from $120K to $2.5M based on real-time performance.

Systematic rotation between Lowest Cost, Auto-Bid, and Max Bid strategies adapting to market conditions per platform. Constant audience testing cadence — identifying new segments, scaling winners, cutting underperformers. Methodical spend ramp from $120K to $2.5M based on real-time performance.

04 / RESULTS

Measured outcomes

Measured outcomes

$120K → $2.5M monthly spend (1,983% increase). Managed simultaneously across 4 networks: Google Ads, ASA, TikTok, Snapchat. Dave achieved $4B valuation and successful IPO during engagement.

WHAT ENTERPRISE TEAMS CAN TAKE AWAY

A repeatable growth pattern, not a one-off win.

A repeatable growth pattern, not a one-off win.

Scaling UA spend requires more than just increasing budgets — it demands real-time bid strategy adaptation and constant audience testing across channels to prevent CPI inflation.

Frequently Asked Questions

Frequently Asked Questions

Appvertiser AI is an AI-powered platform for mobile user acquisition. It connects your ad channels, MMP, and internal data sources into one workspace, then uses AI to analyze performance, recommend the next best action, predict the outcome of a change before it's applied, and execute approved changes across every channel — with your team in control at every step. It's built on expertise from managing $700M+ in mobile ad spend across 140+ apps and games.
Mobile gaming studios (casual, midcore, social casino), fintech, subscription, travel, and entertainment apps. Clients range from global brands to growth-stage studios, including Playrix, Voodoo, TikTok, Fortis Games, DeNA, Dave, Airalo, Empower, and Proof of Play.
General-purpose AI tools summarize the data you paste in. They can't access your live campaign data, have no domain-specific decision intelligence, and can't take action. Appvertiser AI connects directly to your channels and MMP, is purpose-built for mobile UA decisions, and executes approved changes across every channel — not just advice, but action with your approval.
Across 140+ apps and games, customers see an average 61% ROAS improvement, 35% CPI reduction, and roughly 70% less campaign-management workload. Dave scaled from $120K to $2.1M in monthly spend in six months while holding ROAS targets. Proof of Play automated 80% of its UA operations with far faster launch cycles. Results reflect downstream events — purchases, subscriptions, retention — not vanity install counts.
Both. Clients include global brands like TikTok, Playrix, Voodoo, DeNA, and PlayStation, alongside growth-stage studios like Fortis Games, Proof of Play, and Whalo. The platform and, where needed, the services team adapt to your spend level, team size, and UA maturity — enterprise-grade decision-making without requiring an enterprise-sized team.
It's not either/or. A single senior UA hire covers one role in business hours; Appvertiser AI unifies your channels, predicts outcomes, and executes approved optimizations continuously, freeing whoever runs UA to focus on strategy and creative direction instead of manual campaign operations. Most teams get more leverage from the platform than from adding one more seat.

Ready when you are

See the AI growth workforce in action

See the AI growth workforce in action

Book a walkthrough of how Appvertiser AI turns campaign signals into decisions, execution, and measurable growth.

Book a walkthrough of how Appvertiser AI turns campaign signals into decisions, execution, and measurable growth.

Book a demo

Explore all case studies

Explore all case studies

→

Keep reading

Growth Strategy

US, UK

Skillz: Multi-Channel UA Strategy Driving +107% D180 ROAS

Skillz: Multi-Channel UA Strategy Driving +107% D180 ROAS

Appvertiser AI managed a $2.1M+ multi-channel UA operation for Skillz across 13 ad networks and DSPs over 3 months (August–November 2023), achieving +107% average D180 ROAS and -6.3% CPA reduction in the US and UK markets.

Appvertiser AI managed a $2.1M+ multi-channel UA operation for Skillz across 13 ad networks and DSPs over 3 months (August–November 2023), achieving +107% average D180 ROAS and -6.3% CPA reduction in the US and UK markets.

+107%

+107%

Average D180 ROAS

-6.3%

-6.3%

CPA Reduction

Read story

→

Growth Strategy

United States

Dave: Scaled Monthly UA Spend from $120K to $2.5M

Dave: Scaled Monthly UA Spend from $120K to $2.5M

Appvertiser AI partnered with Dave, a digital banking app with 10M+ users, to scale monthly UA spend from $120K to $2.5M — a 1,983% increase — through bid strategy optimization across Google Ads, Apple Search Ads, TikTok, and Snapchat. Dave went from a unicorn startup to a $4B valuation and a successful IPO during the engagement.

Appvertiser AI partnered with Dave, a digital banking app with 10M+ users, to scale monthly UA spend from $120K to $2.5M — a 1,983% increase — through bid strategy optimization across Google Ads, Apple Search Ads, TikTok, and Snapchat. Dave went from a unicorn startup to a $4B valuation and a successful IPO during the engagement.

$2.5M

$2.5M

Monthly Spend

+198%

+198%

Growth Strategy

Read story

→