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AppDiscoveryのおすすめ活用ヒント:顧客獲得コストをわかりやすく解説

Jan 28, 2024·3 min read

A fintech company faced challenges optimizing customer acquisition cost (CAC) due to a 3-day purchase data latency. Using AppDiscovery, they set realistic CAC targets based on proxy events (early, low-latency purchase signals) to optimize targeting. They deployed a multi-campaign strategy (CPP, CPE, ROAS) to balance short-term engagement and long-term ROI.

Sparklabs extended video ads to 30 seconds, increasing viewer engagement and install rates. Results: CAC stabilized, efficiency improved 30%, and install rates tripled. Key takeaways: leveraging AI for proxy events can overcome data latency; mixing campaign types balances metrics; longer, engaging creatives boost performance.

AppDiscovery proves effective for fintech and non-gaming apps.

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