Campaign Management Tips for First-Time Mintegral AppGrowth Users

The article offers practical guidance for first-time Mintegral AppGrowth users on campaign setup and management. It emphasizes that early-stage CPI campaigns should prioritize data collection over immediate efficiency by targeting users broadly, avoiding granular segmentation until sufficient data is gathered. Over-segmentation limits scale and algorithmic learning.

Advertisers are advised to use sub-source management to remove underperforming sources and increase budgets for top performers. As apps mature, campaign objectives shift to long-term value, where Target ROAS and CPE optimization become relevant. However, running CPI and ROAS campaigns in parallel is not recommended due to conflicting signal requirements; instead, focus on one model at a time based on growth stage.

For global scaling, unified campaign structures outperform fragmented ones by enabling faster machine learning, consistent budget control, and streamlined creative deployment. But adequate budgets must be allocated per geography to avoid learning constraints. Advertisers can manage campaigns by market tiers for regional adaptation while maintaining centralized efficiency.

The key takeaways: let algorithms learn with broad targeting initially, choose the right optimization model progressively, and structure campaigns for efficient growth. Actionable recommendations include leveraging sub-source management, prioritizing one bid model, and unifying global campaigns with sufficient budget allocation.