Challenges
Campaigns frequently paused due to budget depletion, causing significant revenue loss and requiring constant manual monitoring.

Ahsan M Khan
Digital Commerce Lead APAC
Campaigns frequently paused due to budget depletion, causing significant revenue loss and requiring constant manual monitoring.
Implemented Epsilo's AI agents to automatically manage budget pacing, send alerts before depletion, and reallocate spend to maintain continuous coverage.
99.9%
ad live time maintained
Automated budget allocation ensures continuous campaign coverage.
$8.2M
recovered revenue
Previously lost to paused campaigns and budget gaps.
400+
hours saved monthly
Automation eliminated manual budget monitoring and adjustments.
6
markets streamlined
Unified operations across major Asia-Pacific markets.
Galderma's performance media operations across six Asia-Pacific markets suffered from a critical problem: campaigns frequently paused when daily budgets depleted, especially during high-traffic periods. The team couldn't monitor budgets 24/7, leading to significant revenue loss during overnight hours.
Analysis showed that campaigns were paused an average of 4-6 hours per day, representing nearly 25% downtime. During peak shopping events, this downtime cost millions in missed opportunities.
The strategy centered on deploying AI agents to handle budget monitoring and optimization continuously. Rather than reactive manual adjustments, the system would proactively manage pacing and allocation.
Galderma set budget guardrails and performance thresholds, then let Epsilo's AI agents handle the operational execution. The team shifted from budget monitoring to strategic decision-making.
AI agents were configured to monitor budget consumption in real-time, predict depletion times, and automatically adjust pacing or reallocate budgets from underperforming campaigns. Smart alerts notify the team of significant changes but don't require constant monitoring.
Scheduled budget adjustments ensure campaigns have appropriate funding during peak hours without manual daily updates. The system learns from performance patterns and adjusts automatically.
Ad uptime improved from 75% to 99.9%. The $8.2M in previously lost revenue was recovered through continuous campaign coverage. The team saves 400+ hours monthly that were previously spent on manual budget monitoring.
Perhaps more importantly, the team's stress levels decreased dramatically. No more emergency budget adjustments at odd hours, no more revenue lost to overnight pauses. The platform handles the operational complexity while humans focus on strategy.