A Strategic Alliance with Industry Impact

Revenue Arc has worked alongside Curated Media for several months, but the partnership is now being formally announced with the full backing of Cedric Peillet, Curated Media’s Founder. The collaboration strengthens Revenue Arc’s ability to deliver premium advertising opportunities through meticulously curated PMP deals. By hand-selecting premium sites and connected TV (CTV) inventory, the company reduces risks associated with open exchange placements, such as Fortune 500 ads appearing alongside harmful or inappropriate content.

“Revenue Arc was one of our earliest partners, and together, we’re surfacing higher-quality, premium inventory at rates significantly more competitive than what brands typically encounter with traditional providers,” stated Peillet when discussing the partnership.

Operating across 20 ad-tech and demand-side platforms (DSPs), Revenue Arc’s approach remains unbiased and performance-driven. Rather than being restricted to a single DSP ecosystem, agencies leveraging Revenue Arc’s solution gain access to a broader and more flexible media-buying landscape. This ensures brands can optimize performance while maintaining transparency and control over their digital ad placements.

Delivering ROI Through Innovation

Revenue Arc’s model prioritizes return on ad spend (ROAS), with an average 6X performance benchmark. This focus on efficiency and effectiveness makes their programmatic solution attractive for agencies seeking measurable results. Revenue Arc’s foresight-driven targeting is key to this success, enabling advertisers to engage consumers before they actively enter the market. By analyzing purchasing intent through behavioral data, the platform helps brands secure conversions before competitors can capture attention.

The partnership with Curated Media also enhances Revenue Arc’s ability to serve high-value clients in industries like automotive, where precision targeting is critical. Revenue Arc uses broader behavioral indicators to predict buyer intent instead of relying solely on conventional signals such as lease expirations.

Andrew Barrow, founder of Revenue Arc, highlights the importance of leveraging data beyond traditional assumptions to unlock new customer segments.

Data-Driven Targeting for Maximum Impact

Revenue Arc’s founder, Andrew Barrow, explains that predictive targeting extends beyond industry norms, particularly in sectors like auto sales. Instead of merely identifying customers with expiring leases, brands can analyze broader behavioral patterns to reach potential buyers across various automotive brands.

For example, a consumer in West Hollywood might not be an obvious target for a truck advertisement. However, marketers can uncover untapped audiences by analyzing factors such as affinity for outdoor activities, country music preferences, and online shopping habits. This refined targeting approach helps companies like Rivian reach potential electric truck buyers who may not explicitly signal an interest but align with the brand’s target profile.

Beyond the automotive sector, this data-driven strategy has applications across both B2B and consumer-focused industries. By leveraging AI insights and strategic targeting, Revenue Arc’s platform optimizes marketing efforts, reduces competition, and enhances brand engagement.

A Disruptive Model for the Future of Advertising

This partnership marks a shift in programmatic advertising. By eliminating fees and introducing a revenue-sharing model for their agency partners, the company challenges traditional industry models and redefines how agencies engage with programmatic platforms.

With AI-driven insights, strategic targeting capabilities, and a commitment to brand safety, Revenue Arc continues to pioneer more efficient and cost-effective advertising solutions. As agencies seek to maximize performance while minimizing overhead, Revenue Arc’s no-cost, revenue-generating approach offers a compelling alternative to traditional programmatic models.

Published by Stephanie M.

Kham Inthirath’s Vision for AI-Driven Business Growth

Kivo Daily Staff on March 25, 2025

By: AK Infinite

Artificial intelligence (AI) has become an increasingly significant element in reshaping the landscape of modern industries. While AI has been evolving for some time, it is now being explored by businesses as a tool to support growth, improve efficiency, and enhance customer engagement.

Kham Inthirath, CEO of Compound Effect, is one such leader who is deeply engaged in exploring AI’s potential role in transforming business practices. Inthirath and his team recognize that AI is not just a tool for automation but a strategic enabler that can be integrated into business strategies to help organizations adapt to changing market demands.

What Defines Visionary Leadership in AI?

Visionary leadership in AI goes beyond simply adopting new technology. It involves a strategic mindset where AI is seen as a tool that can transform business operations, from decision-making to customer experiences. Effective AI leadership is about identifying the areas within an organization where AI can have a meaningful impact and integrating it in a way that enhances overall performance without losing sight of human input and decision-making.

Leaders who focus on AI also tend to emphasize several key principles that help guide their use of technology:

Proactive AI Integration – Anticipating potential changes and opportunities, and exploring ways to introduce AI in response to evolving needs.
Data-Driven Decision Making – Utilizing AI tools to inform business decisions, helping organizations analyze large amounts of data quickly and efficiently.
Customer-Centric Innovation – Leveraging AI to improve customer interactions, enhance personalization, and create more seamless experiences.
Operational Efficiency – Streamlining business processes, from logistics to production, by using AI-driven automation tools.
Ethical Use of AI – Integrating AI in a way that is transparent, fair, and responsible, with a focus on maintaining accountability in decision-making.

Kham Inthirath: A Leader in AI-Driven Business Transformation

Kham Inthirath, CEO of Compound Effect, is an example of a leader who is actively exploring how AI can be leveraged to transform business operations. Under his leadership, Compound Effect is focused on understanding how AI can be used to support businesses in becoming more efficient and adaptable in an increasingly complex and competitive environment.

Inthirath’s approach blends AI with marketing expertise and business consulting to create solutions that aim to streamline workflows, increase productivity, and enhance business performance. His strategies center around helping organizations explore the potential of AI in ways that complement human skills, rather than replace them.

Kham’s AI-Inspired Business Approaches:

Optimizing Content Production: One of the areas where Inthirath and his team have explored AI’s role is in the content creation process. By using AI to enhance workflows, Compound Effect has examined how time-consuming tasks related to content production can be made more efficient.
Virtual Teams Powered by AI: Inthirath has also looked into the possibility of using AI-powered virtual teams to handle certain business functions. The goal is to automate repetitive tasks, allowing businesses to allocate their human resources to higher-value activities that require more complex decision-making.
Integrating AI with Customer Experience: Another aspect of Inthirath’s work is focused on customer experience (CX). Through AI, businesses may have the ability to analyze consumer behavior, personalize interactions, and enhance engagement, ultimately contributing to an improved customer journey.

Inthirath’s leadership philosophy, which includes the belief that “If you are not uncomfortable, you are not growing,” encourages organizations to embrace the challenges that come with change. He stresses the importance of exploring new ways to use AI for innovation and efficiency in business processes.

The Growing Importance of AI in Business

As AI technology continues to evolve, it is increasingly integrated into various aspects of business. Companies are recognizing the potential for AI to improve internal operations, foster innovation, and meet changing customer expectations. While there are many potential applications for AI, the key to successful integration lies in understanding how it can support business goals, enhance productivity, and maintain ethical practices.

Incorporating AI thoughtfully can require time and careful consideration, but many business leaders, including Inthirath, are working to help organizations better understand the ways in which AI can support their operations. Businesses may explore opportunities to use AI in areas such as marketing, logistics, customer service, and supply chain management. As technology evolves, there may also be new opportunities to enhance existing systems, improve decision-making, and create more responsive business environments.

Final Thoughts: Exploring AI for Future Growth

AI’s potential to support business transformation is a topic of growing interest, and business leaders like Kham Inthirath are contributing to the ongoing exploration of how it can be applied effectively within organizations. While the technology continues to develop, businesses looking to integrate AI should consider how it aligns with their overall goals and values. The leaders who thoughtfully consider how to incorporate AI may be better positioned to explore new opportunities for efficiency, innovation, and customer engagement.

Key Takeaways:

AI leadership focuses on strategically integrating technology into business operations, rather than just adopting new tools.
AI can be used to enhance decision-making, help improve customer experience, and streamline business processes.
The future of AI in business will likely require continuous exploration and thoughtful implementation to ensure its responsible use.

Published by Jeremy S.

Day: March 25, 2025

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