Sold by: Martech Tools by Lumivect
AI-driven DSP optimization service focused on improving campaign performance, reducing wasted spend, and enhancing bidding strategies across programmatic advertising platforms.
Overview
This professional service is delivered on top of AWS infrastructure and leverages multiple AWS-native services to improve DSP campaign performance and bidding accuracy.
The solution integrates with:
- Amazon Bedrock for AI-driven bidding strategy optimization and decision support
- Amazon SageMaker for model training, inference, and continuous performance improvement
- Amazon Neptune for graph-based analysis, enabling advanced audience relationships, traffic pattern detection, and bid intelligence
- Amazon S3 and AWS Lambda for scalable data processing and real-time optimization workflows
This service directly contributes to optimizing AWS-based advertising workloads, improving cost efficiency and performance of media buying operations.
All implementations are tailored to the client’s DSP environment and AWS infrastructure.
Highlights
- AI-driven bidding optimization for DSP campaigns, improving performance while reducing wasted media spend.
- Advanced traffic quality and IVT detection to prevent fraud and ensure high-quality impressions.
- End-to-end implementation tailored to your DSP, including audience strategy, campaign structure, and performance monitoring.
Details
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Delivery method
Deployed on AWS
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Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Support
Vendor support
Support is provided via email and scheduled calls.
Primary contact: hello@martech.tools
Support includes:
- Onboarding and implementation guidance
- Technical assistance during integration
- Performance optimization support
- Ongoing communication during the engagement period
Response time:
- Initial response within 24 hours (business days)
Support hours:
- Monday to Friday, 9 AM to 6 PM (UTC)
For urgent matters, priority support can be arranged directly with the client during the engagement.