Topic: customer insights
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Your CRM Holds More Buyer Insights Than Personas
The article argues that companies often overlook valuable internal data from sales, customer success, and product teams, leading to inefficient marketing based on assumptions rather than existing insights. It recommends mining existing systems like support tickets, sales call recordings, and surv...
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Multiply Secures $9.5M to Develop AI Agents
Multiply, a new startup, has launched with $9.5M in funding to address the structural flaw in B2B advertising where campaigns decay due to a slow feedback loop between customer insights and ad messaging. Its AI platform integrates with sales data like call recordings and CRM systems, using specia...
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Unlock Customer Sentiment & Risk Hidden in Your CRM Emails
Generative AI transforms inbound CRM email analysis by uncovering customer sentiment and risks, shifting focus from traditional outbound metrics to understanding actual communication content and emotional tone. Natural language processing reveals nuanced customer emotions, pain points, and buying...
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Mailchimp's New Holiday Tools for Retailers
Intuit Mailchimp has introduced advanced segmentation, deeper analytics, and expanded omnichannel features to help retailers enhance customer engagement and drive revenue growth year-round. New capabilities include improved Shopify integration for behavioral data and automation, global SMS market...
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Prevent Founder Burnout: 4 Systems for Sustainable Thought Leadership
Building sustainable thought leadership requires systematic approaches to prevent founder burnout and ensure consistent value, as sporadic posting fails to build lasting trust and engagement. Foundational systems include a centralized content repository for ideas, a predictable content rhythm for...
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Oracle's AI Agents Now Power Marketing, Sales & Customer Service
Oracle has launched a suite of prebuilt, role-based AI agents for revenue teams within its Fusion Cloud Applications, designed to automate tasks, provide data insights, and free professionals for strategic work at no extra cost. These agents leverage data across an organization (finance, operatio...
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Caterpillar Partners with Nvidia to AI-Power Construction Equipment
Caterpillar is partnering with Nvidia to integrate AI into its construction equipment, starting with a pilot on an excavator that uses Nvidia's Jetson Thor platform for an assistive system called Cat AI. The Cat AI system provides operators with real-time support, safety guidance, and data analys...
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5 Ways to Feed Your AI Quality Data for Better Results
High-quality data is essential for successful AI outcomes, as poor data leads to poor results, making the right data assets critical as companies adopt AI technologies. Experts recommend focusing on key data that delivers the most impact, adopting deliberate data governance, and creating flexible...
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AI Decisioning: The Future of Marketing is Here
AI decisioning enables hyper-personalized marketing at scale but is often underutilized due to poor data quality, weak integration, and under-optimized customer data platforms. It differs from traditional automation by being a self-optimizing system that uses machine learning to make dynamic, rea...
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Google Tests New Brand Profiles in Merchant Center Next
Google is piloting Brand Profiles in Merchant Center Next, giving retailers a dedicated space on Search to showcase their brand story, values, and promotions. The feature helps merchants stand out with multimedia content and offers, aiming to influence shoppers early in the decision process, thou...
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AI's GTM Revolution: OpenAI & Google's Vision
AI is fundamentally transforming go-to-market strategies by enabling companies to achieve greater efficiency and resource optimization, altering traditional sales and marketing approaches. Despite AI's advantages in speed and personalization, industry leaders stress that deep marketing expertise,...
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Martech Strategy: When to Sprint vs. When to Marathon
Effective martech leaders must balance the urgency of sprints with the endurance of marathons, as constant speed can be as harmful as excessive caution. To improve strategy, conduct a time audit to align daily efforts with long-term goals and bridge the gap by directly observing customer experien...
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Why Your AI Strategy Needs Data and Context to Succeed
The success of AI systems depends on combining high-quality data with essential context, as context (the who, what, when, where, and why) is now a non-negotiable requirement for building trustworthy and effective AI that delivers real business value. Organizations face challenges with fragmented,...
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