SALES OPERATIONS // FREE LIVE DEMO
Win-Rate Improvement Planner
THE PROBLEM
Win rate is declining and leadership wants a plan, but 'sell better' isn't a plan — it's a wish.
+18% QoQ (Google Ads Autonomous Agent)
ROAS improvement from targeted, data-driven interventions
PROVEN IN PRODUCTION
No pitch — just a plan.
Give me your win rate and where the deals are leaking — I'll diagnose the worst stage, name the real cause, and lay out a 90-day plan with interventions tied to that exact leak.
Execution trace — recorded run (this agent's real pipeline)
Reading current win rate and leak stages
ok
Diagnosing the likely cause per stage
ok
Prioritizing interventions by expected impact
ok
Building a 90-day improvement plan
ok
Improvement plan build time
~1h → ~1 min
projected
ROAS improvement from targeted, data-driven interventions
+18% QoQ (Google Ads Autonomous Agent)
real · anonymized
38%
Win-rate health
Diagnosis — demo-to-proposal leak
A 40% drop-off specifically between demo and proposal usually means the demo isn't building a strong enough business case to justify a proposal — not that reps are bad at demos generally. This is a business-case problem, not a presentation-skills problem: the fix is adding a mandatory ROI/business-case slide before every proposal is sent, not more demo training.
Days 1-30
Add a mandatory business-case slide to every demo; audit last quarter's demo-to-proposal losses for the pattern.
Days 31-60
Roll out a demo-to-proposal checklist gate — no proposal goes out without a confirmed business case reviewed with the prospect.
Days 61-90
Re-measure demo-to-proposal conversion; expand the fix to the smaller proposal-to-close leak if the first stage has improved.
WHAT IS WIN-RATE IMPROVEMENT PLANNER?
An AI win-rate improvement planner takes a current win rate and the specific pipeline stage where deals are leaking, and returns a 90-day improvement plan with interventions tied directly to the actual leak stage — for example, treating a demo-to-proposal drop-off as a business-case problem rather than prescribing generic 'improve sales skills' advice.
HOW IT WORKS
Win-rate declines get misdiagnosed constantly because the instinct is to treat the whole funnel as broken when usually one specific stage is leaking. This agent is prompted to take the stage-level leak data seriously and diagnose accordingly: a demo-to-proposal leak points to a weak business case, not weak presentation skills; a proposal-to-close leak points to pricing or procurement friction, not weak rapport. That distinction changes what actually gets fixed — training reps to present better doesn't move a business-case problem at all.
The plan is structured into 30/60/90-day milestones because a single big intervention rarely sticks — the first 30 days test a specific fix at the worst-leaking stage, the next 30 institutionalize it as a process gate, and the last 30 re-measure before deciding whether to extend the fix to the next-worst leak.
You are a revenue operations strategist who builds win-rate improvement plans for B2B sales teams. Given a current win rate and the specific pipeline stages where deals are leaking, produce: a scored gauge of current win-rate health, a diagnosis of the likely cause at the worst-leaking stage, and a 90-day plan structured into 30/60/90-day milestones with specific interventions tied to the actual leak stage — never generic advice like 'improve sales skills'. Output ONLY a JSON array of typed blocks matching the OutputBlock union — no prose outside the JSON. Diagnose only from the win rate and leak stage actually supplied — never invent a number or stage the input didn't state.USE CASES
Leadership-mandated win-rate recovery
Leadership flags a win-rate decline and wants a plan by Friday — generate a stage-diagnosed 90-day plan instead of a generic 'focus on closing' memo.
New sales leader's first 90 days
A new head of sales inherits a declining win rate and uses the agent's plan as a data-backed starting framework for their first quarter's priorities.
Post-QBR action planning
After a QBR surfaces a specific stage-level leak, turn that finding directly into a structured improvement plan rather than a vague follow-up action item.
Regional team win-rate comparison
Compare improvement plans generated for different GCC regional teams to see if the same stage is leaking everywhere or if it's a localized issue.
RESULTS & BENCHMARKS
Improvement plan build time
projected (modeled)
ROAS improvement from targeted, data-driven interventions
real, anonymized
GET THIS RUNNING ON YOUR BUSINESS
Want Win-Rate Improvement Planner solving this for you?
This runs in production today, not a mockup. Tell me your case on a free 30-minute call, or hire the whole system for $999/mo.
No pitch — just a plan.
FAQ
Common questions
Why does the plan focus on one pipeline stage instead of the whole funnel?
Because win-rate declines are usually concentrated at one leaking stage, and fixes tailored to that stage (like a business-case gap at demo-to-proposal) work far better than broad, unfocused 'sell better' initiatives.
How is a demo-to-proposal leak different from a proposal-to-close leak?
A demo-to-proposal leak usually signals a weak business case; a proposal-to-close leak usually signals pricing or procurement friction. The agent diagnoses which applies before recommending a fix.
What real results support this stage-targeted approach?
A comparable data-driven, targeted-intervention approach delivered +18% ROAS quarter-over-quarter for the production Google Ads Autonomous Agent on this site.
RELATED AGENTS
Built by Hammad Yousuf — AI Marketing Automation Engineer, 540K+ YouTube subscribers.
See the production missions these agent patterns run in, or hire the whole system.