SellerApp, a Singapore-based MarTech leader, has launched its Amazon DSP integration and AI-powered Advanced Automation Suite, addressing the $166 billion retail media landscape's complexity. This platform empowers enterprise brands to recover wasted ad spend and boost profitability in a competitive eCommerce environment.
SellerApp introduces Amazon DSP integration and AI automation for enterprise brands.
Platform recovers $15M in ad spend during beta with Fortune 500 clients.
Unified dashboard manages sponsored ads and programmatic display campaigns.
AI engine processes over 1M daily decisions, optimizing ad performance.
Achieves 40% ACoS improvement and 3X click-through rate increase.
Offers real-time profitability analysis and competitive intelligence.
SellerApp's platform integrates Amazon DSP and Sponsored Ads into a single dashboard, streamlining campaign management. This unified approach provides cross-channel attribution, revealing the true impact of customer journeys. Real-time budget allocation optimizes ad spend across all types, reducing inefficiencies in the $166 billion retail media ecosystem. With nearly one million new sellers joining Amazon in 2024, cost-per-clicks have surged 45%, making such automation critical for profitability.
The Advanced Automation Suite leverages proprietary algorithms to analyze patterns across 250,000+ live campaigns. Its predictive modeling anticipates competitive moves and seasonal shifts, while machine learning enhances performance with every interaction. "Every day, brands are hemorrhaging millions in wasted ad spend because they're trying to manage exponentially complex campaigns with yesterday's tools," said Dilip Vamanan, Co-founder and CEO of SellerApp. This AI-driven approach ensures sub-second bid adjustments and inventory-aware optimizations to prevent stockouts.
The platform offers real-time profitability analysis across product portfolios, enabling brands to track market share movements. Custom reporting supports multi-brand and international operations, providing actionable insights. During beta testing, enterprise clients saw a 30% average cost reduction and $35M in incremental revenue through improved targeting. "We regularly audit brands spending $50,000 monthly on Amazon ads with virtually no visibility into which keywords are actually driving profitable sales," said Nithin Mentreddy, Director of Customer Success at SellerApp.
The six-month beta phase demonstrated significant results: 40% ACoS improvement, 3X click-through rate increases on high-intent placements, and 90% time savings on campaign management. These outcomes stem from SellerApp's advanced machine learning architecture, trained on billions of advertising interactions, and real-time data processing for dynamic budget reallocation. The platform's seamless integration with major ERP and inventory systems further enhances its enterprise applicability.
SellerApp's launch marks a pivotal advancement for enterprise brands navigating the complex retail media landscape. With immediate availability and white-glove implementation options, the platform is poised to transform how brands optimize their Amazon advertising strategies, driving efficiency and growth in 2025 and beyond.
Founded in 2017, SellerApp has grown from a bootstrapped startup to the trusted eCommerce intelligence partner for over 10,000 brands across 50 countries. The company's AI-powered platform manages more than $50 million in annual ad spend, optimizing over 250,000 campaigns daily across Amazon, Walmart, and emerging marketplaces.
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