What You’re Missing Without Time Series Intelligence
HG Insights Time Series Analysis provides discrete, timestamped install signals collected monthly from over 20
ACTIVATE AI-DRIVEN GTM INTELLIGENCE
Connect AI predictive models and intent activity insights to prioritize and engage accounts and buyers within your GTM stack.
Data Studio and Sales Copilot agent functionality enable GTM leaders to build no-code propensity models, prioritize targets and engagement, trigger signal-based playbooks, and deliver insights directly where teams work.
Easily craft predictive lead and account scores from first-party data in a guided, no-code modeling studio.
Compare models side by side, see which signals drive lift, and pick the scoring method that fits each GTM play.
Use signal-based playbooks that turn signals into actions for sellers, moving beyond static lead scores.
Show account research, intent, and scores inside Salesforce and key tools so reps stay in flow with rich context.
Combine CRM, marketing, and product use data with HG Fabric so models and agents gain common insights into every account and buyer.
HG MCP (Model Context Protocol) and public API connects your GTM tools, data, and AI agents to our Revenue Growth Intelligence, transforming fragmented data into orchestrated, agentic workflows across your stack.
Use Data Studio to train propensity models on rich historical customer wins and losses data, then push ranked leads and accounts into CRM, MAP, and sales workflows.
Sync models and current insights into your CRM so users see high-scoring accounts and buyers, key signals, guidance and enriches records in every view.
Activate Sales Copilot playbooks that turn buyer signals into defined tasks, emails, and call prompts, allowing reps to consistently execute best-practice motions.
Give sellers AI-gen account briefs, compiling HG market data, customer data, buyer intent, and product usage, saving valuable meeting prep and outreach time and effort
Aggregate web, product, content, and review signals into a unified view of buyer readiness, ensuring GTM teams respond quickly when accounts start showing in-market intent.
Equip SDRs, AEs, and CSMs with prioritized accounts, key contacts, and role-based insights so every touch is tailored to the right buyer, message, and moment in the journey.
Marketing teams build precise ICPs, target in-market accounts, and orchestrate campaigns using model scores and signals from buyer behavior and engagement data. Leverage always-on insight into which segments, offers, and channels are converting to align spend and actions quickly toward high-performing programs.
RevOps can gain predictive scoring, segmentation rules, and playbooks using with robust market and account data and buyer intent signals with existing GTM tools without requiring data scientist expertise. They can tune model performance, align territories, and standardize engagement.
Sales leaders can arm reps with Sales Copilot playbooks directly into the CRM and web browser, so every seller sees who to call, why now, and what to say. Teams spend less time researching and more time in high-value conversations, turning buyer intent and account insights into higher win rates and larger deals.
Strategy and planning teams tap the same predictive models and signals to size markets, evaluate whitespace, and prioritize segments with the highest upside.
They connect long-range market bets with near-term execution, ensuring product, sales, and marketing decisions are grounded in real adoption, spend, and intent trends.
Score contacts on their individual likelihood to buy using behavioral, firmographic, technographic, and product use signals, then push rankings into CRM and sales tools. Sellers focus outreach on the people most likely to convert within each account, improving productivity and reducing noise from unqualified contacts.
Model account-level propensity by combining HG market data, first-party engagement, and historic win patterns into a single, transparent score. Uses these scores to drive territory design, routing, and ABM targeting so GTM plans align with where revenue is most likely to land.
Prepare your data and models for agentic workflows by exposing clean, explainable scores and signals that MCP-connected agents can safely act on. As you adopt more copilots and AI agents, Data Studio and Sales Copilot provide the governed intelligence layer those systems rely on.
Give reps AI-powered research and insights wherever they prospect online, with a Chrome extension that overlays account and contact intelligence on key pages. They can qualify, personalize, and act in a few clicks, without switching tabs or rebuilding context across tools.
Stream intent and engagement spikes into Sales Copilot so reps and marketers receive timely alerts when accounts move from cold to warm to hot.Teams coordinate air-cover campaigns and outbound plays around these moments, improving response times and conversion at each funnel stage.
Combine HG’s market, technographic, and buyer-intent signals with your first-party data to deliver rich summaries for each account and key contact. Sales, marketing, and success teams work from the same shared picture of who the buyer is, what they care about, and which motions will resonate.
HG Insights Time Series Analysis provides discrete, timestamped install signals collected monthly from over 20
A precise GTM strategy begins with your TAM SAM SOM analysis.
