GTM Agents
- Multi-step, autonomous GTM workflows
- Unified execution across the GTM stack layer
- Real guardrails and coordination
- Continuous self-improvement
- Work across every GTM workflow
HockeyStack Agents transform natural language instructions into reliable, repeatable workflows. Users describe what they want in plain English, and the system translates it into a structured, enterprise-grade automation.
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Benchmark channel spend and cost per SQO
- Classify channels by efficiency and funding level
- Reallocate budget within strict segment constraints
- Output clear, reasoned spend adjustment recommendations
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Benchmark channel spend and cost per SQO
- Classify channels by efficiency and funding level
- Reallocate budget within strict segment constraints
- Output clear, reasoned spend adjustment recommendations
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Benchmark channel spend and cost per SQO
- Classify channels by efficiency and funding level
- Reallocate budget within strict segment constraints
- Output clear, reasoned spend adjustment recommendations
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Benchmark channel spend and cost per SQO
- Classify channels by efficiency and funding level
- Reallocate budget within strict segment constraints
- Output clear, reasoned spend adjustment recommendations
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Benchmark channel spend and cost per SQO
- Classify channels by efficiency and funding level
- Reallocate budget within strict segment constraints
- Output clear, reasoned spend adjustment recommendations
Trigger | Scheduled
HockeyStack’s GTM agents conduct advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s GTM agents continuously learn from new pipeline activity and outcomes, automatically refining their insights and recommendations over time.
Run the agent on-demand to preview its recommendations and validate outputs against your real GTM data
- Slack Message
- Benchmark channel spend and cost per SQO
- Classify channels by efficiency and funding level
- Reallocate budget within strict segment constraints
- Output clear, reasoned spend adjustment recommendations
Trigger | Scheduled
Score and route new leads, create follow-up tasks, and send personalized outreach
Detect early churn signals and trigger save campaigns
Create custom agents for targeted GTM execution
Build Agents to automate and align revenue operations
Advanced reasoning on your winning pipeline conversion and closed-won patterns
HockeyStack’s proprietary LLM built for GTM data turns English-written contracts into automated workflows.
Every outcome feeds back into the system, improving agent decisions across your entire business context.
Agents know which signals, data, and tools to use and fetch them automatically, end to end.
- Multi-step, autonomous GTM workflows
- Unified execution across the GTM stack layer
- Real guardrails and coordination
- Continuous self-improvement
- Work across every GTM workflow
Budget stays locked in channels that stopped producing pipeline.
Agents reallocate spend toward channels generating active pipeline.
High-performing channels starve due to fixed budget plans.
Agents shift budget immediately when performance exceeds benchmarks.
Marketers debate reallocations instead of acting mid-quarter.
Agents execute reallocations automatically within approved constraints.
Marketing Budget Optimizer
Pipeline growth requires constant manual budget intervention.
Agents continuously rebalance spend as pipeline dynamics shift.
Budget changes break reporting and planning discipline.
Agents rebalance spend without changing total budget commitments.
Underperforming channels linger due to organizational inertia.
Agents systematically defund channels falling below SQO benchmarks.
Ready To See HockeyStack In Action?
HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.
Ready to See HockeyStack in Action?
HockeyStack turns all of your online and offline GTM data into visual buyer journeys and dashboards, AI-powered recommendations, and the industry’s best-performing account and lead scoring.
