Compulse, a marketing technology and managed services company, has announced a strategic partnership with Placements.io, a leader in advertising sales and revenue management software. This collaboration integrates Placements.io's AdSalesOS platform with Compulse's Compulse 360, delivering automated, omnichannel ad activation at scale and revolutionizing the advertising workflow.

1. Strategic Partnership Overview:

• Compulse and Placements.io have integrated their platforms to automate ad sales and fulfillment.
• The partnership delivers a unified, seamless system to handle complex advertising workflows at scale.

2. Key Benefits of the Integration:

• Faster Turnaround Times: Automates manual entry, reducing campaign activation times from days to minutes.
• Streamlined Omnichannel Campaigns: Simplifies the process of activating programmatic, walled garden, search, and social ads into a single workflow.
• Enhanced Scalability: Automates routine processes, allowing customers to scale operations without significant team expansion.
• Improved Accuracy and Collaboration: Real-time data synchronization minimizes errors and ensures smooth execution across teams.
• AI-Powered Media Planning: Leverages Compulse's AI-driven media planner for data-informed campaigns aligned with specific business outcomes.
• Accelerated Revenue Collection: Streamlines invoicing and reconciliation, reducing administrative overhead.

3. Partner Statements:

• Evan Bowen, Chief Business Officer at Placements.io, highlights the efficiency gains enabled by the integration.
• Jonathan Muzio, VP of Business Development at Compulse, emphasizes how the integration empowers users to achieve goals faster and more effectively.

4. Live Implementation:

• The integration is already live and serving thousands of advertisers, demonstrating Compulse's commitment to simplifying advertising operations and delivering results.

The partnership between Compulse and Placements.io enhances the efficiency and scalability of ad operations, helping users navigate the increasingly complex advertising landscape with greater ease and speed.

Sinch, a leader in digital Customer Communications Cloud, has shared its predictions for 2025, offering a glimpse into the future of customer engagement. Backed by insights from over 800 billion interactions annually, Sinch outlines the critical trends shaping how brands will communicate with customers and enhance their experiences.

Sub-topics and Pointers:

1. The Era of Real-Time Responses:

• Customers demand quicker answers, and businesses must combine AI for routine queries with live agents for complex issues.
• Generative AI will see 80% adoption by enterprises by 2025.
• Example: Bizbike uses AI to handle 30% of customer FAQs, improving satisfaction.

2. 'Context-First' Channel Orchestration:

• Businesses will move beyond "SMS vs. email" and focus on creating seamless, multi-channel experiences.
• Sophisticated decision engines will ensure messages are tailored based on geography, customer preferences, and urgency.
• Example: SMS and email are strategically used for different customer journeys.

3. Building Customer Trust:

• Trust will be a cornerstone as online scams and impersonation attacks rise.
• Solution: Verified messages and authenticated emails, such as Apple's RCS messaging and Gmail’s BIMI support, will build trust with visible security measures.

4. Notifications Evolve into Conversations:

• Static notifications are being replaced by dynamic, interactive touchpoints, transforming updates into opportunities for engagement.
• Example: RCS allows scheduling, upgrading, and purchasing directly within messages, enhancing customer interaction.

5. Conversational Commerce Comes of Age:

• Messaging apps are turning into digital storefronts, providing seamless shopping experiences within apps.
• Example: Courir uses AI shopping assistants to create personalized journeys that drive ROI.

6. Integration is Key to Intelligent Engagement:

• Disconnected systems create poor experiences. Businesses need to integrate customer data and communication platforms for personalized, seamless interactions.
• Investment: Consolidating communication data will be essential for delivering high-quality experiences.

7. Smarter Channel Spending:

• Businesses must optimize communication channels based on the value they deliver, not just cost.
• Focus: Develop ROI models considering engagement and satisfaction, and experiment with different channel combinations to refine strategies.

As customer communication evolves, businesses that innovate, personalize, and build trust will lead the way. The trends highlighted by Sinch indicate a future where customer interactions are faster, smarter, and more connected—those who adapt now will be well-positioned for success in 2025.

Cordial, the leading enterprise marketing platform known for automating billions of personalized messages across emails, SMS, and mobile apps, has appointed Julien Sauvage as its new Chief Marketing Officer (CMO). With over 15 years of experience at tech giants like Salesforce, Gong, and Clari, Sauvage will lead Cordial’s go-to-market strategy, continuing its growth in the enterprise sector. This move underscores Cordial's dedication to leveraging AI to modernize marketing workflows and enhance connections between brands and consumers.

1. Transforming Marketing with AI:

• Mission: Cordial aims to modernize marketing workflows with AI-powered solutions that scale human understanding.
• Key Advantage: With AI that gets smarter each day, marketers can create deeper, more personalized 1:1 experiences at scale while maintaining their brand's unique identity.

2. Julien Sauvage's Expertise:

• Proven Track Record: Sauvage brings vast expertise from his leadership roles at Salesforce, Gong, and Clari.
• Focus on Customer-First Approach: Sauvage's experience aligns with Cordial's focus on helping marketers understand their customers deeply and drive impactful conversations.

3. The Need for an Efficient, Unified Platform:

• Current Marketing Challenges: Many marketers struggle with outdated tools and siloed data that prevent them from creating meaningful customer connections.
• Solution: Cordial’s AI-powered platform eliminates these barriers, enabling marketers to build personalized customer experiences faster and more efficiently.

4. Accelerating Cordial’s Growth:

• Momentum: Cordial has experienced significant customer growth, adding brands like Realtor.com and PacSun to its portfolio.
• Recognition: Ranked among the top 500 software companies on the 2024 Inc. 5000, Cordial is gaining recognition for its AI and data management capabilities.

5. The Vision for the Future:

• Driving Innovation: With Sauvage at the helm, Cordial is set to enhance its omni-channel messaging solutions and white-glove services for enterprise brands.
• Growth and Leadership: The addition of Sauvage to Cordial’s leadership team strengthens its market position, reinforcing its commitment to providing advanced, efficient marketing solutions.

Cordial’s appointment of Julien Sauvage as CMO is a strategic move to propel its growth and solidify its position as a leader in AI-driven enterprise marketing solutions. With Sauvage's expertise and Cordial's innovative platform, the company is poised to continue helping marketers create personalized experiences at scale, transforming how brands connect with their audiences.

Integral Ad Science (IAS), a global leader in media measurement and optimization, has launched its new Quality Attention™ Optimization product in beta. This tool simplifies and automates the process for advertisers to optimize campaigns towards high-attention impressions, enhancing overall performance across digital display and video ads. Alongside this, IAS has partnered with Lumen Research to bring Social Attention measurement to the platform, offering advertisers the ability to measure attention across both programmatic and social campaigns.

1. The Power of Attention in Advertising:

• Revolutionizing Metrics: IAS Quality Attention™ unifies media quality, eye-tracking, and machine learning to provide advertisers with deeper insights into how consumers interact with ads.
• Proven Results: Campaigns using IAS’s attention data have seen up to a 130% lift in conversion rates by comparing high attention impressions to low attention ones.

2. New Product Features – Quality Attention Optimization:

• Automation & Simplicity: The new product automates the optimization of campaigns towards high-attention impressions, simplifying ad management and boosting campaign efficiency.
• Performance Boost: Advertisers can now increase attention scores and improve ad performance on the open web across digital display and video.

3. Optimizing ROI with IAS’s Solution:

• Reducing Cost/Waste: Advertisers can optimize away from low-attention inventory, improving performance across the marketing funnel.
• Reach & Awareness: Targeting high-attention placements increases reach, ensuring that more ads are seen with greater consumer attention.
• Boosting Consideration: By placing ads in optimal environments, advertisers can exceed KPIs and achieve better campaign outcomes.

4. Expanding the Attention Measurement Landscape with Lumen Research:

• Partnership with Lumen: IAS partners with Lumen Research to introduce Social Attention measurement, offering a comprehensive view of attention across platforms.
• Innovative Technology: Lumen’s predictive eye-tracking models, covering over 300 billion impressions globally, power the Social Attention feature, providing advertisers with precise insights into social ad performance.

5. The Future of Advertising Attention:

• Attention Economy: Linking attention to outcomes and allowing advertisers to optimize for those outcomes marks significant progress toward building an "Attention Economy."
• Upcoming Features: IAS’s Social Attention measurement feature will be available to customers starting January 2025.

IAS’s new Quality Attention™ Optimization product, combined with the Social Attention measurement partnership with Lumen Research, offers advertisers an advanced, holistic approach to optimize campaigns. By integrating attention measurement into the heart of ad strategies, IAS is helping brands maximize their return on investment and drive better outcomes across digital and social campaigns.

QuestionPro, a global leader in online survey and research services, has acquired SpatialChat, Europe’s leading platform for video streaming and immersive virtual environments. This acquisition enhances QuestionPro’s Qualitative Research and Customer Experience (CX) offerings while expanding SpatialChat’s reach to U.S. and global markets. With this strategic move, QuestionPro is poised to revolutionize virtual collaboration and qualitative research.

1. SpatialChat’s Innovative Virtual Environments:

• Immersive Collaboration: SpatialChat creates highly interactive, user-friendly virtual spaces, improving team communication and collaboration. It leverages AI capabilities to foster better engagement in remote and hybrid work settings.
• Global Reach: Serving more than 6 million users across 169 countries, SpatialChat is trusted by top organizations like Google, McDonald's, McKinsey, and Harvard University.

2. Strategic Value for QuestionPro:

• Enhancing Qualitative Research: With the acquisition, SpatialChat strengthens QuestionPro’s existing Qualitative Research platform, enabling the integration of virtual focus groups, panels, and new customer research methodologies.
• Expanding CX Capabilities: The addition of SpatialChat’s immersive technology broadens QuestionPro’s Customer Experience solutions, offering companies enhanced digital engagement strategies.

3. New Opportunities in Digital Collaboration:

• AI and Immersive Tech Integration: The partnership allows for the integration of advanced AI and immersive technologies, including AR/VR experiences, paving the way for next-gen corporate events, team collaborations, and digital focus groups.
• The Future of Research: SpatialChat's technology opens doors to new digital qualitative research techniques, offering a seamless and more effective alternative to traditional research methods.

4. AR/MR/VR Market Growth:

• Tapping into the $180B Market: SpatialChat is positioned to tap into the projected $180 billion AR/MR/VR collaboration market by 2030, integrating with emerging technologies like Meta's Ray-Ban Stories and Apple Vision Pro to create more immersive research and collaboration experiences.

5. SpatialChat’s Continued Brand Identity:

• Brand Autonomy: Despite the acquisition, SpatialChat will continue to operate under its current brand, leveraging the resources of QuestionPro to further develop its technology and expand its market influence.

The acquisition of SpatialChat by QuestionPro marks a transformative step in the future of virtual collaboration and qualitative research. By combining advanced AI, immersive virtual environments, and innovative research tools, QuestionPro is positioning itself as a leader in next-generation digital experiences for businesses and educational institutions.

LivePerson, a leader in conversational AI and digital transformation, has announced the appointment of Christopher Mina as Chief Technology & Product Officer. In this new role, Mina will shape LivePerson's product strategy and oversee its engineering and product operations, driving innovation and enhancing customer experience across voice and digital communication channels.

1. Christopher Mina’s Expertise and Background:

• Previous Experience: Mina joins LivePerson from Vonage, where he led product strategy for the Global Apps business, including UCaaS, CCaaS, and Conversational AI. His previous leadership roles at RingCentral and LivePerson, including his work on Voice AI and acquisitions, make him a key asset in driving product innovation.
• Strategic Vision: With a deep understanding of conversational AI platforms, Mina aims to leverage AI throughout voice and digital communication channels, helping brands deliver personalized customer experiences at scale.

2. LivePerson’s Commitment to Digital Transformation:

• AI-Driven Innovation: LivePerson's integration of AI technologies across customer communication touchpoints is reshaping how businesses engage with consumers. Mina will play a central role in enhancing these efforts to drive better customer outcomes and efficiency.
• Customer-Centric Product Strategy: Under Mina’s leadership, LivePerson will continue to focus on delivering products that support enterprises in their digital transformation, ensuring a seamless and connected customer journey.

3. Future of Personalized Customer Experiences:

• Enhancing Communication Channels: LivePerson’s mission to create meaningful connections across all communication channels is central to Mina's product strategy. His goal is to further innovate ways for businesses to engage with consumers in a personalized manner.
• Unlocking Value for Customers: Mina’s expertise in guiding global enterprises through large-scale digital transformations will enable LivePerson to create more effective, high-transactional communication solutions for its clients.

4. LivePerson’s Impact on Digital Engagement:

• Empowering Enterprises: LivePerson’s AI and digital solutions enable businesses to provide tailored customer experiences at scale, driving deeper consumer relationships and better business outcomes.
• Leading the Conversational AI Space: With Mina’s leadership, LivePerson is poised to continue its leadership in the conversational AI space, delivering innovative solutions for voice and digital communication.

Christopher Mina's appointment as Chief Technology & Product Officer strengthens LivePerson’s ability to drive product innovation and support enterprises in their digital transformation journeys. His strategic vision for leveraging AI to enhance customer engagement across all touchpoints promises to further elevate LivePerson’s position as a leader in the conversational AI space.

CallRail, a leading AI-powered lead intelligence platform, has announced the launch of a groundbreaking feature that enables businesses to accurately track and attribute leads from AI-driven search engines. This functionality, designed to enhance lead generation efforts, is one of the first in the industry to support AI-powered platforms such as ChatGPT/SearchGPT, Perplexity, and Gemini. The new capabilities aim to provide marketers with a more complete and accurate understanding of their lead sources, thereby optimizing decision-making and campaign effectiveness.

1. The Rise of AI-Driven Search Engines:

• Increased Adoption: Consumer adoption of AI-powered search engines has surged over the past year, as users increasingly turn to these platforms for personalized and more relevant search experiences.
• Challenges in Attribution: Despite the rapid growth of these AI-driven platforms, marketers have struggled with accurately attributing leads from these sources. AI search engines have historically concealed traffic origins, complicating efforts to measure and optimize marketing campaigns.

2. CallRail's New Lead Attribution Capabilities:

• Accurate Source Attribution: CallRail’s latest innovation enables businesses to track leads originating from AI-driven search engines, addressing the challenge of traffic source ambiguity. This functionality ensures that leads from platforms like ChatGPT, Perplexity, and Gemini are accurately attributed, providing clarity for marketers.
• Improved Reporting: With this new capability, businesses can now ensure that every lead, regardless of its origin, is included in their reporting, thereby improving the accuracy of data and fostering more informed decision-making.

3. Impact on Lead Generation and Campaign Optimization:

• Maximized Lead Generation Potential: The enhanced tracking functionality enables businesses to better understand the performance of their AI-driven lead sources, minimizing the risk of lost or misattributed leads. This allows for more precise measurement of campaign effectiveness and a clearer picture of return on investment (ROI).
• Optimization of Marketing Strategies: By gaining a more complete view of how AI-driven search platforms interact with traditional marketing channels, businesses can refine their marketing strategies. This provides key insights into the effectiveness of their overall marketing mix, helping businesses optimize spend and improve ROI.

4. CallRail’s Commitment to the Evolving Marketing Landscape:

• Adapting to AI-Driven Consumer Behavior: As AI search engines continue to grow in prominence, CallRail’s new feature reflects the company’s commitment to helping businesses adapt to a marketing landscape increasingly influenced by generative AI solutions. This innovation aims to empower marketers to navigate the complexities of modern lead generation and attribution with greater confidence and efficiency.

The introduction of AI search engine lead tracking by CallRail marks a significant advancement in the ability to accurately attribute leads and optimize marketing strategies. By addressing the challenges posed by the growing adoption of AI-driven search engines, this new functionality ensures businesses can make more informed decisions, refine their marketing efforts, and ultimately improve their lead generation and ROI outcomes.

Tray.ai, a pioneer in composable integration platforms, has launched the Merlin Agent Builder, designed to expedite the creation and deployment of AI agents across enterprises. This new development, alongside curated Tray Agent Accelerators, simplifies the AI agent implementation process. These advancements offer businesses a user-friendly, cost-effective solution to integrate AI agents, overcome integration hurdles, and improve operational efficiency without the fragmentation and silos often caused by single-purpose solutions.

1. The Growing Demand for AI Agents in Enterprises:

• AI Agent Rush: Enterprises are increasingly looking to deploy AI agents to enhance automation, with Gartner forecasting that by 2028, 15% of day-to-day decisions will be made autonomously by AI agents.
• Challenges Faced: Companies face integration challenges, siloed tools, and vendor lock-in when trying to implement AI agents with traditional methods. A unified, composable platform can solve these issues and support large-scale AI agent deployment.

2. Merlin Agent Builder: Revolutionizing AI Agent Creation:

• Rapid Deployment: The Merlin Agent Builder, built on the Tray Universal Automation Cloud, provides businesses with a platform to quickly and flexibly develop AI agents, from knowledge agents to customer support ticketing agents.
• Customization and Control: With a visual, workflow-based tool, enterprises have complete control over AI agent capabilities, integrations, and governance. The platform supports both conversational and asynchronous agents, making it suitable for a wide range of business use cases.
• Enhanced Data Protection: Tray Merlin Guardian ensures that sensitive data, including PII, is securely handled by the agents, ensuring compliance and security in enterprise environments.

3. Tray Agent Accelerators: Simplifying AI Agent Implementation:

• Pre-built Templates: Tray Agent Accelerators include templates for common enterprise use cases like IT ticketing, customer support, and knowledge management. These templates are designed to speed up implementation and ensure best practices.
• Increased Efficiency: With accelerators such as RAG (retrieval-augmented generation) pipelines and integration with tools like Jira and Slack, businesses can quickly deploy AI agents that integrate seamlessly with existing workflows.

4. Unifying Integration and Automation Needs:

• Comprehensive Approach: Tray.ai’s unified platform integrates AI agent development with process automation and data management, eliminating the need for siloed applications and third-party solutions. This unification helps businesses scale their AI initiatives effectively and avoid the pitfalls of fragmented AI systems.
• Flexibility Across Tech Stacks: Organizations benefit from the flexibility to build AI agents that work across their entire tech stack, from CRM and ERP systems to unstructured data sources, ensuring a cohesive and scalable solution.

5. Addressing Integration and Security Hurdles:

• Data Integration: The Tray platform’s ability to integrate with various data sources, including CRM, ERP, and data lakes, is critical for AI agent success. It also addresses the challenges of working with unstructured data, enabling businesses to process complex file-based tasks with ease.
• AI Agent Safety: Tray’s platform is designed with safety and governance in mind, ensuring that AI agents adhere to enterprise compliance standards and security protocols.

Tray.ai’s latest innovations in AI agent development, through the Merlin Agent Builder and Tray Agent Accelerators, provide enterprises with a flexible, scalable, and secure foundation to deploy AI agents that integrate seamlessly with existing systems. By overcoming integration challenges, reducing development time, and ensuring proper governance, Tray.ai enables organizations to harness the power of AI while minimizing risks and operational costs.