Swiftask analyzes your data in real-time to automatically adjust your floor prices in Google Ad Manager, maximizing every single impression.
Result:
Increase your Revenue Per Mille (RPM) without constant manual intervention.
AI Agents
google ad manager
Connector google ad manager · Secure OAuth 2.0
Managing floor prices manually in Google Ad Manager is a complex and often inefficient task. The programmatic advertising landscape changes minute by minute, making static settings obsolete before they are even applied.
Main negative impacts:
Loss of potential revenue
Floor prices that are too low sell your impressions short, while prices that are too high kill your fill rate.
Operational complexity
Manual adjustments require constant monitoring and deep data analysis that teams cannot sustain over time.
Insufficient reactivity
The programmatic market demands real-time adaptation that is impossible to achieve with traditional human management.
Our AI agents connected to Google Ad Manager analyze market context and dynamically adjust your floor prices to find the perfect balance between fill rate and impression value.
BEFORE / AFTER
Traditional manual management
Teams set floor prices based on historical averages. Revenue opportunities during demand spikes are missed, and impressions are undervalued during off-peak periods.
Swiftask dynamic optimization
The AI agent adjusts floor prices based on real-time demand, bidder performance, and historical data, ensuring constant maximization of revenue.
1
STEP 1 : Connect Google Ad Manager
Configure secure access for Swiftask to your Google Ad Manager account in just a few clicks.
2
STEP 2 : Define your yield goals
Set the key performance indicators (RPM, fill rate) that your AI agent should prioritize.
3
STEP 3 : Activate the optimization agent
The agent starts analyzing auctions and suggesting or applying floor price adjustments.
4
STEP 4 : Monitoring and tuning
Track performance gains via the dashboard and refine the agent's strategies if necessary.
The agent cross-references Google Ad Manager data with market trends, inventory type, and past performance to predict the optimal price.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-google-ad-manager@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Capture the true value of every impression with dynamically adjusted prices.
Free your teams from repetitive adjustment tasks to focus on strategy.
React to market fluctuations in real-time without human intervention.
Reduce human errors related to manual calculations and complex pricing rule management.
Maintain control with a complete history of decisions made by the AI agent.
Swiftask applies enterprise-grade security standards for your google ad manager automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Price management | Static / Manual | Dynamic / Automated |
| Reactivity | Delayed (hours/days) | Real-time |
| Revenue per impression | Sub-optimal | AI-optimized |
Increase your Revenue Per Mille (RPM) without constant manual intervention.