E-commerce Use Cases/Marketing & AcquisitionDigital Marketing Specialist

Is CAC for lookalike audiences increasing by more than 5% per month as audiences become saturated, and at what audience expansion percentage does efficiency drop below acceptable ROAS of 3:1?

Track the diminishing efficiency of lookalike audiences over time to determine optimal refresh cycles and expansion limits.

Metrics & KPIs

CAC by audience agemonthly CAC changeoptimal refresh intervalexpansion percentage threshold

Required Data

Lookalike audience performance dataCAC trendaudience sizerefresh history

Data Sources

Ad PlatformData Warehouse

Works with tools like

Google AdsMeta AdsTikTok AdsPinterest AdsSnapchat AdsSnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

Bruin

Bruin AI Data Analyst

Is CAC for lookalike audiences increasing by more than 5% per month as audiences become saturated, and at what audience expansion percentage does efficiency drop below acceptable ROAS of 3:1?

Bruin connects to your Ad Platform, Data Warehouse and runs the analysis automatically.

It tracks CAC by audience age, monthly CAC change, optimal refresh interval and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

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C-Level/ExecutiveCategory ManagerCustomer Experience ManagerData AnalystDigital Marketing SpecialistE-commerce ManagerFinance ManagerGrowth ManagerMarketing ManagerMerchandiserOperations ManagerSupply Chain Manager

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