WIN/LOSS ANALYZER AGENT
For The Product Marketer Who Needs More Space To Think
WIN/LOSS ANALYZER AGENT
For The Product Marketer Who Needs More Space To Think
HockeyStack
GTM Agents
HockeyStack GTM Agents apply our proprietary Reasoning Engine to your complete GTM dataset, delivering:
  • Multi-step, autonomous GTM workflows
  • Unified execution across the GTM stack layer
  • Real guardrails and coordination
  • Continuous self-improvement
  • Work across every GTM workflow
Step 1
Analyzes all deals closed in the last 30 days
Step 2
Identifies win factors and loss reasons
Step 3
Detects patterns by segment and competitor
Step 4
Generates actionable recommendations
AgentWin/Loss Analyzer
Turn Raw Deal Outcomes into Actionable Insights
Step 1
Analyzes all deals closed in the last 30 days
Step 2
Identifies win factors and loss reasons
Step 3
Detects patterns by segment and competitor
Step 4
Generates actionable recommendations
Built-in Reasoning
Self-improving
test
actions
contract
trigger

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
  • Analyze won and lost deals from past 30 days
  • Extract engagement patterns, win factors, and loss reasons
  • Summarize performance by segment, competitor, and cycle
  • Deliver actionable recommendations to improve win rates

Trigger | Scheduled

Built-in Reasoning
Self-improving
test
actions
contract
trigger

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
  • Analyze won and lost deals from past 30 days
  • Extract engagement patterns, win factors, and loss reasons
  • Summarize performance by segment, competitor, and cycle
  • Deliver actionable recommendations to improve win rates

Trigger | Scheduled

Built-in Reasoning
Self-improving
test
actions
contract
trigger

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
  • Analyze won and lost deals from past 30 days
  • Extract engagement patterns, win factors, and loss reasons
  • Summarize performance by segment, competitor, and cycle
  • Deliver actionable recommendations to improve win rates

Trigger | Scheduled

Built-in Reasoning
Self-improving
test
actions
contract
trigger

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
  • Analyze won and lost deals from past 30 days
  • Extract engagement patterns, win factors, and loss reasons
  • Summarize performance by segment, competitor, and cycle
  • Deliver actionable recommendations to improve win rates

Trigger | Scheduled

Built-in Reasoning
Self-improving
test
actions
contract
trigger

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
  • Analyze won and lost deals from past 30 days
  • Extract engagement patterns, win factors, and loss reasons
  • Summarize performance by segment, competitor, and cycle
  • Deliver actionable recommendations to improve win rates

Trigger | Scheduled

Built-in Reasoning
Self-improving
test
actions
contract
trigger

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
  • Analyze won and lost deals from past 30 days
  • Extract engagement patterns, win factors, and loss reasons
  • Summarize performance by segment, competitor, and cycle
  • Deliver actionable recommendations to improve win rates

Trigger | Scheduled

Lead Scoring & Outreach Engine

Score and route new leads,  create follow-up tasks, and send personalized outreach

Early Churn Detection & Outreach

Detect early churn signals and trigger save campaigns

[Insert Your Sales & Marketing Agent]

Create custom agents for targeted GTM execution

[Insert Your RevOps Agent]

Build Agents to automate and align revenue operations

Built In Reasoning

Advanced reasoning on your winning pipeline conversion and closed-won patterns

NEX-LM

HockeyStack’s proprietary LLM built for GTM data turns English-written contracts into automated workflows.

Self-Improving

Every outcome feeds back into the system, improving agent decisions across your entire business context.

Automated tool calling

Agents know which signals, data, and tools to use and fetch them automatically, end to end.

Deals fail for the same hidden reasons repeatedly.

Agent identifies loss patterns and corrects active deals.

Reps are guessing what actions will actually close deals.

Agent recognizes the specific engagement patterns proven to win similar deals.

Winning deal instinct lives only in top reps.

Agent systematizes winning behavior across the sales org.

WIN/LOSS ANALYZER AGENT

Poor qualification lets low-quality deals clog pipeline.

Agent tightens qualification using patterns from past losses.

Competitive wins aren’t repeatable at scale.

Agent reuses proven competitive win patterns automatically.

Sales performance degrades as pipeline grows.

Agent maintains consistent execution as deal volume scales.

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.

Book a demo