
CTM is a cloud-based conversation analytics and lead management platform designed to connect marketing attribution with customer communications and sales outcomes. Formerly known as CallTrackingMetrics, the software provides call tracking, conversation intelligence, lead routing, and contact center functionality. Its call tracking technology uses dynamic number insertion to attribute incoming calls to specific advertising campaigns, keywords, websites, and marketing channels. The platform also tracks SMS conversations, website form submissions, and online chats to provide a consolidated view of customer engagement. AI-powered analytics automatically transcribe, summarize, score, and analyze conversations to identify customer sentiment, purchasing intent, and potential sales opportunities. CTM includes AI voice agents that can answer inbound calls, qualify prospects, schedule appointments, and route inquiries to appropriate team members. Workflow automation tools support lead distribution, customer follow-ups, notifications, and CRM updates based on configurable business rules. Its reporting capabilities include real-time dashboards, advertising ROI analysis, agent performance monitoring, and campaign attribution reports. CTM integrates with marketing, analytics, and CRM platforms through native integrations, APIs, webhooks, and customizable automation tools.
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Customer experience shouldn't run on disconnected tools and static scripts. Dialpad Contact Center brings voice, digital channels, and human agents together in a single AI-native platform, built to act — not just record — on every customer interaction.
This is Agentic AI in practice: agents that reason through a problem, take the next step, and drive it to resolution without waiting on a human to intervene. Where legacy systems leave data trapped in silos, Dialpad Contact Center closes that gap, linking voice and data so context travels with the customer instead of getting lost between systems.
The payoff compounds. Dialpad has already generated over 775 million AI recaps, and each new interaction adds to a growing base of operational intelligence — sharper resolution paths, more productive agents, better outcomes quarter over quarter. None of it runs unchecked: Dialpad's Guardian layer keeps AI operations secure and governed, so intelligence scales without sacrificing oversight.
In practice, that means up to 80% of issues get resolved autonomously, freeing your team to focus on the conversations that genuinely need a human. Intelligence works at the edge; people stay at the center of the experience.
And you don't have to take the ROI on faith. Through Dialpad's Proving Ground, enterprises can validate performance and cost savings before rolling out at scale — a far more reliable path than betting on a brittle, rules-based bot.
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Dialogflow
Dialogflow by Google Cloud is a natural-language understanding platform that allows you to create and integrate a conversational interface into your mobile, web, or device. It also makes it easy for you to integrate a bot, interactive voice response system, or other type of user interface into your app, web, or mobile application. Dialogflow allows you to create new ways for customers to interact with your product. Dialogflow can analyze input from customers in multiple formats, including text and audio (such as voice or phone calls). Dialogflow can also respond to customers via text or synthetic speech. Dialogflow CX, ES offer virtual agent services for chatbots or contact centers. Agent Assist can be used to assist human agents in contact centers that have them. Agent Assist offers real-time suggestions to human agents, even while they are talking with customers.
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Rippit
Rippit is a platform designed for conversation data that transforms customer interactions from various sources, including helpdesks, sales calls, and meetings, into organized and searchable information. Teams involved in customer experience, support, product development, sales, and operations can leverage natural language processing and reusable AI agents to uncover insights related to contact reasons, product evaluations, signs of churn, quality challenges, compliance issues, and problems with chatbots or AI agents. By enhancing conversation records with information such as intent, sentiment, resolution, and root causes, the platform enables teams to identify trends and link their discoveries back to the original conversations. Additionally, teams can automate their analyses with Agent Apps, ensuring that insights are delivered consistently, and they can integrate external assistants via Rippit’s hosted Model Context Protocol server. This capability significantly aids organizations in comprehensively analyzing customer communications and effectively integrating the insights into their operational workflows, ultimately improving overall service delivery.
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