AI-Powered GTM: Our Revenue Growth Agentic Ecosystem and MadKudu Acquisition

I’m thrilled to reveal HG Insights’ agentic AI strategy, which includes a suite of new copilots and agents available today, as well as share what our MadKudu acquisition brings to our Revenue Growth Intelligence (RGI) journey, alongside TrustRadius. This marks a significant leap forward as we empower business leaders to achieve three core imperatives: driving revenue growth, increasing customer retention and expansion, and elevating operational efficiency and agility.

Over the past year, we spoke to customers across hyperscalers, large enterprises, and mid-market companies all facing the same challenges: overwhelming data silos, disconnected technology stacks, and fragmented AI adoption. These roadblocks stall productivity and make it difficult for sales and marketing teams to achieve their pipeline and ROI goals, while also slowing down true AI integration across organizations. Addressing these obstacles is exactly what drives our strategy.

Enterprise teams building GTM copilots and agents consistently face one crucial requirement for advancing analytics and AI — data integration and reliability. That’s why progressing our RGI Fabric datasets is at the core of everything we do. We deliver best-in-class deep data and intelligence across firmographics, technographics, spend, buying center, contract, partner, buyer intent, and more, spanning over 20 million data points. Following our recent TrustRadius acquisition, we’re adding first-party in-market buyer intent to the Fabric, and plan to weave in more intent signals and contacts from a growing network of trusted partners.

We previously launched our Market Analyzer copilot, built for strategy, analyst, and marketing GTM teams. This tool radically simplifies market analysis (TAM/SAM/SOM), enabling granular ideal customer profile (ICP) definition and segment-specific insights based on account-level details such as technology usage, spend patterns, maturity, and even competition. This data-driven approach not only sharpens targeting, prioritization, territory management, and campaign planning, but also drastically shortens the path to effective GTM execution.

Everyone knows TrustRadius has a large, highly active buyer community researching products. TrustRadius also enables B2B marketers to generate customer-verified content. Now, with our recent TrustRadius acquisition, we are thrilled to incorporate first-party buyer intent data into our Fabric. Marketing and sales teams get actionable insights on which buyers are actively in-market, filtered through their ICP, and surfaced as high-quality, intent-based leads. The result: accelerated pipeline velocity and improved conversion supported by trusted customer reviews and product guides that drive meaningful engagement throughout the buyer journey.

Today, with the launch of our Revenue Growth Agentic Ecosystem and the acquisition of MadKudu, we offer a modular suite of AI copilots and agents for real-time GTM activation across all functions. MadKudu, which has been one of our strategic partners, brings proven agentic GTM solutions and playbooks that enable organizations to orchestrate agentic workflows powered by signals from both first- and third-party data.

Our RevOps AI Data Studio, for example, helps strategy and RevOps teams build propensity models by combining their internal data with our Fabric datasets, which includes whitespace and competitive insights. Sales teams can benefit from Sales Copilot, which accesses daily account research and provides tailored playbooks that empower sales teams to engage, prioritize, and win more accounts — all fueled by first- and second-party data teamed with our Fabric.

The power of our Revenue Growth Agentic Ecosystem means GTM teams can build predictive models, deploy segment-based triggers, and respond automatically to key buyer signals. What’s truly transformative is how these agentic services can be combined into modular “meshes” that address specific GTM use cases.

For revenue growth, agents can layer in market insights from the Market Analyzer Copilot, apply granular ICP and account insights, and incorporate real-time buyer intent signals to prioritize accounts, enhance follow up actions, and personalize outreach—enabling rapid, intelligent sales engagement with ready-to-buy prospects. For retention, agentic meshes pinpoint at-risk customers by modeling spend, product maturity, and competitive research signals, enhanced with intent data from platforms like Salesforce and Gong. The result: sales and customer success teams receive specific guidance to proactively prevent accounts from churning.

Most importantly, all of these solutions are available today. HG Insights now uniquely offers a complete martech stack of AI-powered Revenue Growth Intelligence solutions:

  • The Revenue Growth Intelligence Fabric with firmographic, technographic, spend, contract, and buyer intelligence, combined with both first-party buyer intent and context-aware intent
  • The Revenue Growth Intelligence Platform with Copilots like Market Analyzer, Sales Copilot, and RevOps AI Data Studio
  • The Customer Voice suite for enriched campaign engagement
  • High-quality intent-based leads for enhanced pipeline conversion

Our vision is clear: the future of GTM is AI-powered, AI-augmented, and precision-driven. Accordingly, we are amplifying our development of additional agents and agentic meshes to deliver even more ROI-driven, optimized GTM execution.

With robust datasets, purpose-built copilots, and an agentic strategy now expanded by TrustRadius and MadKudu, our AI-powered solutions are ready to help customers automate and scale revenue growth like never before. To our current customers, thank you for being part of our journey. To those exploring how to leverage AI to accelerate revenue growth within their organization, we welcome the opportunity to support you.

We’ll be sharing more details about what this acquisition means for you during our webinar, A New Era of AI-Powered Revenue Growth Intelligence, to be held on Thursday, August 28, from 12:00–1:00 pm ET.  Register here.