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Twilio Bets Its Infrastructure Layer Can Own the Agentic Customer Conversation

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Twilio’s New Platform Aims to Revolutionize Customer Conversations

In the ever-evolving landscape of customer experience technology, Twilio has introduced a groundbreaking platform designed to transform how businesses engage with their customers across multiple communication channels. Unveiled at the recent SIGNAL conference, this new infrastructure layer promises to streamline interactions by keeping the context of conversations persistent, eliminating the frustration customers often face when they need to repeat themselves.

The Architecture Behind Smarter Conversations

Twilio’s platform features four key capabilities that work together to enhance customer interactions. The Conversation Memory component remembers past interactions, customer preferences, and history, which allows support agents or systems to address customers more personally and effectively. Conversation Orchestrator manages the coordination of communication across multiple channels, such as chat, voice, and email, ensuring a seamless exchange.

In addition, Conversation Intelligence converts live conversation data into actionable insights, helping businesses understand customer needs and optimize service. Lastly, Agent Connect integrates AI capabilities within Twilio’s broader system, augmenting human agents and automating routine tasks.

This cohesive infrastructure layer removes traditional barriers that disrupt customer service, such as transferring conversations between departments or channels while losing vital context, leading to repeated information requests and frustrated customers.

Business Impact and Growth

Twilio’s announcement comes at a time when its voice revenue has surged by 20% year-over-year, largely driven by AI adoption. This indicates strong market acceptance and commercial viability of technologies that enhance conversational experiences.

Key Insights

  • How does Twilio’s platform improve customer experience? By maintaining conversation context and preferences across channels, it ensures customers don’t have to repeat themselves, saving time and reducing frustration.

  • What role does AI play in this new infrastructure? AI integration through Agent Connect supports human agents by automating repetitive tasks and providing actionable insights from live conversations.

  • Why is multi-channel orchestration important? Customers use various platforms to communicate; orchestrating these interactions smoothly improves satisfaction and operational efficiency.

  • What does Twilio’s growth indicate about the market? A 20% increase in voice revenue signals rising demand for advanced conversational technologies powered by AI.

Conclusion

Twilio’s new platform represents a significant advancement in conversational infrastructure, emphasizing persistent context and AI integration to enhance customer experience. As businesses increasingly rely on multi-channel communication, solutions like Twilio’s will be critical to delivering seamless, intelligent, and efficient service. This innovation not only benefits customers by reducing friction but also helps companies leverage AI insights to optimize operations and foster stronger customer relationships.

Source: https://www.cmswire.com/customer-experience/twilio-bets-its-infrastructure-layer-can-own-the-agentic-customer-conversation/?utm_source=cmswire.com&utm_medium=web&utm_campaign=cm&utm_content=all-articles-rss

Twilio launches conversation layer to unify AI and human interactions

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Twilio’s New Conversation Layer: Seamlessly Merging AI and Human Customer Interactions

In an ever-evolving digital landscape, customer experience remains a key differentiator for businesses. Twilio, a leader in cloud communications, has introduced an innovative platform initiative designed to unify and enhance how companies engage with their customers. This new “conversation layer” promises to break down barriers between AI-driven and human interactions, delivering a continuous and connected experience across multiple communication channels.

Revolutionizing Customer Engagement with a Conversation Layer

Twilio’s groundbreaking conversation layer integrates three pivotal components that together create a smarter and more fluid customer journey:

  • Conversation Memory: Retains detailed customer profiles and interaction history, ensuring every interaction remembers context, preferences, and past behaviors.
  • Conversation Orchestrator: Acts as the brains behind interaction management, dynamically controlling the flow of conversations and efficiently transitioning between AI-powered bots and live agents.
  • Conversation Intelligence: Provides real-time analysis of conversations, offering actionable insights to improve engagement strategies and customer satisfaction.

By addressing fragmentation in customer communication, businesses can now offer consistent, context-rich experiences that feel personalized and relevant, no matter the channel.

Enhancing Flexibility and Efficiency Across Channels

An exciting feature accompanying this launch is Agent Connect, which empowers developers to seamlessly integrate multiple AI models into the communication ecosystem. This flexibility enables organizations to select and combine AI capabilities tailored to their unique needs, improving both automation and human-assisted interactions.

Additionally, Twilio’s updates support the integration of new communication channels, demonstrating a commitment to meeting customers where they prefer to engage. Simplification in managing these tools not only enhances operational efficiency but also frees up resources to focus on providing superior customer service.

Key Insights

  • What problem does the conversation layer solve? It eliminates fragmented and siloed interactions, creating a cohesive customer experience by unifying AI and human communication across channels.
  • How does Conversation Memory improve interactions? By remembering past engagements and customer preferences, it ensures personalized and contextually relevant conversations every time.
  • Why is Agent Connect significant for developers? It offers unparalleled flexibility by allowing integration of various AI models, enabling customized and adaptive communication solutions.
  • What benefits do businesses gain from real-time Conversation Intelligence? It delivers insights to improve engagement and decision-making during active conversations, boosting customer satisfaction.

Conclusion

Twilio’s conversation layer marks a significant advancement in customer communication technology, merging AI and human elements into a seamless experience. For businesses, this translates into more meaningful engagement, enhanced operational efficiency, and the ability to adapt quickly to evolving customer preferences. As companies continue to embrace digital transformation, solutions like Twilio’s conversation layer will be crucial in setting new standards for customer experience excellence.

Source: https://martech.org/twilio-launches-conversation-layer-to-unify-ai-and-human-interactions/

Why performance marketing needs more than ROAS

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

Why Performance Marketing Needs More Than Just ROAS

Introduction

Return on ad spend (ROAS) has long stood as the principal metric marketers rely on to measure campaign success. However, as the digital marketing ecosystem grows increasingly complex, there’s a crucial realization that ROAS alone doesn’t capture the complete picture of marketing performance or long-term business growth. This blog explores why performance marketing must expand beyond ROAS and integrate multiple metrics and strategies for a holistic approach.

Rethinking Marketing Success Metrics

Traditional marketing success was often quantified by immediate financial returns, with ROAS measuring revenue generated for every dollar spent on advertising. While essential, ROAS does not account for broader business outcomes such as customer loyalty, acquisition efficiency, or the sustained lifetime value customers bring.

Metrics like Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), and retention rates provide deeper insights into the lasting impact of marketing efforts. CAC measures how much it costs to acquire a new customer, while LTV estimates the total revenue a customer will generate over their relationship with the brand. Retention rates indicate how well a brand maintains its customer base over time.

The Interconnected Nature of Marketing Channels

Modern marketing involves multiple channels—social media, search, email, and programmatic advertising, among others. Understanding the interplay between these channels is critical to attributing success correctly and optimizing budgets. Media Mix Modeling (MMM) and Multi-Touch Attribution (MTA) are advanced strategies that help marketers analyze how various channels contribute to performance, beyond simple last-click metrics.

MMM examines historical data to understand how different advertising channels interact and their impact on sales, while MTA tracks individual customer journeys across multiple touchpoints to assign value to each interaction.

Aligning Marketing Strategy With Business Goals

Moving beyond ROAS encourages marketers to focus on broader objectives aligned with business growth. This shift transforms marketing from a short-term conversion tool into a strategic growth engine. By integrating various metrics and employing data-driven models, organizations can better measure marketing’s full influence on revenue, customer loyalty, and brand strength.

Key Insights

  • Why is ROAS insufficient alone? Because it overlooks long-term customer value and retention.
  • How do CAC and LTV enhance marketing measurement? They provide a lifecycle perspective on customer profitability.
  • What role do MMM and MTA play? They offer comprehensive insights by analyzing cross-channel effects and customer journeys.
  • What’s the impact of aligning marketing and business goals? It leads to sustainable growth and smarter investment decisions.

Conclusion

As performance marketing evolves, relying solely on ROAS falls short of capturing the nuanced reality of modern campaigns. Broadening the measurement framework to include customer acquisition costs, lifetime value, and retention alongside advanced attribution models empowers marketers to make informed decisions. This comprehensive view promotes smarter spending, deeper customer relationships, and ultimately, stronger business growth. Performance marketing thus emerges as not just a conversion engine but a critical driver of sustained growth and competitive advantage.

Source: https://martech.org/why-performance-marketing-needs-more-than-roas/

zSellify Launches AI-Powered Platform to Help Local Businesses Grow Their Online Presence

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

zSellify Introduces Groundbreaking AI Platform to Boost Local Business Online Presence

In todays digital-first world, local businesses face the ongoing challenge of standing out online. Understanding this critical need, zSellify has unveiled a revolutionary AI-powered platform specifically designed to help these businesses grow and sustain their online visibility with minimal effort.

Streamlining Digital Presence for Local Businesses

zSellify’s new platform addresses the evolving consumer trend towards AI-powered searches and digital assistants by automating the entire process of establishing and maintaining a business’s digital footprint. This platform differentiates itself from traditional marketing services by operating autonomously, continuously updating and optimizing a business’s visibility across multiple channels without necessitating constant business owner intervention.

Currently targeting the beauty and wellness industry, zSellify plans to expand the platforms capabilities to other local service sectors. This approach not only saves valuable time for business owners but also ensures their presence is dynamically managed in real-time to meet the markets shifting demands.

Key Features and Innovation

  • Autonomy: The platform runs independently, eliminating the need for manual oversight in most cases.
  • Continuous Optimization: Use of AI allows for real-time updates and improvements to maintain competitive visibility.
  • Sector Focus: Initial launch targets beauty and wellness businesses with plans for broader adoption.
  • Patent-Pending Technology: Highlights the uniqueness and innovative nature of the solution.

Key Insights

  • Why is zSellify’s platform important? It addresses the rising consumer reliance on AI assistants for local business searches, offering a modern solution for visibility.
  • How does automation benefit local businesses? It reduces the time and expertise needed to maintain an online presence, enabling business owners to focus on operations.
  • What sectors are prioritized? Beauty and wellness are the initial focus with expansion plans for other services.
  • What makes this platform innovative? Its autonomous operation and patent-pending methodology distinguish it from traditional marketing platforms.

Conclusion

zSellifys AI-powered platform represents a significant advancement in local business marketing technology, marrying automation with continuous digital optimization. As local search behavior continues to evolve, tools like zSellifys platform are poised to empower small businesses with efficient, technology-driven online growth strategies. Businesses in the beauty and wellness sectors stand to gain the most immediately, but the platform’s upcoming expansions suggest widespread applicability, signaling a promising shift for local service providers navigating the digital landscape.

Source: https://martechseries.com/predictive-ai/ai-platforms-machine-learning/zsellify-launches-ai-powered-platform-to-help-local-businesses-grow-their-online-presence/

Digital video ad spend surges as AI and targeting reshape strategy

William Gu
William Gu
Marketing AI Team @ MKTGAGENT.AI

How AI and Advanced Targeting are Driving Growth in Digital Video Advertising

Introduction

The digital video advertising landscape is undergoing a transformative shift, driven by advancements in artificial intelligence (AI) and sophisticated targeting strategies. According to the 2026 IAB Digital Video Ad Spend & Strategy Report, U.S. digital video advertising is projected to grow by an impressive 11% year over year, soon comprising over 60% of the total combined TV and video ad spend. This trend marks a significant change in how advertisers allocate budgets and measure success.

The Rise of Digital Video Spending

Digital video’s growing share of advertising dollars reflects its increasing importance in reaching audiences efficiently. Connected TV (CTV) platforms, which enable streaming to televisions with internet connectivity, are gaining traction for their precise targeting capabilities and cost efficiency. A notable shift is the quick adoption of self-service platforms by smaller advertisers, allowing them more direct control and easier access to digital video inventory.

The Increasing Role of AI in Advertising

One standout trend highlighted in the report is the growing reliance on AI technologies for media planning, inventory management, and performance analysis. Known as agentic AI, these tools help advertisers navigate complex media environments, optimize budgets, and improve campaign outcomes. Automation and interoperability between tech platforms further streamline these processes, driving efficiency and scalability.

Why Targeting Now Outweighs Content Quality

Interestingly, the importance of precise targeting has surpassed that of content quality for many advertisers. With advances in data integration and identity durability — the ability to maintain user recognition across platforms over time — advertisers can reach their ideal audiences more reliably than ever. This shift underscores a move toward outcome-driven strategies where measurable impact matters most.

Key Insights

  • What is driving the surge in digital video ad spending? An 11% annual growth rate and increased reliance on CTV and automation technologies highlight the industry’s shift toward efficient and measurable advertising.
  • How is AI reshaping video ad strategies? Agentic AI is increasingly used to support media buying decisions, allowing advertisers to optimize targeting, budget allocation, and performance measurement.
  • Why has targeting become more critical than content quality? Enhanced data integration and durable identity systems enable advertisers to deliver precise messages directly to the right audiences, making targeting a more reliable factor in campaign success.
  • What opportunities does this trend present for smaller advertisers? Self-service platforms are lowering barriers, enabling smaller advertisers to access premium digital video inventory with ease and precision.

Conclusion

The 2026 IAB report reveals that digital video advertising is evolving into a highly data-driven, AI-supported ecosystem focused on measurable results and precise targeting. As digital video spends grow and technology advances, advertisers must adapt by embracing automation, interoperable platforms, and robust data strategies. This shift offers new opportunities for both large and small businesses to optimize their ad investments with greater accuracy — fundamentally reshaping the future of video advertising.

Source: https://martech.org/digital-video-ad-spend-surges-as-ai-and-targeting-reshape-strategy/