AgentIQ Forge Pipeline Gap Diagnostic

Can your sales engine produce your revenue target?

A few numbers from your business show the gap between what your pipeline produces and what your target needs, what's causing it, and which lever closes it first. No email, no signup.

What you want to close from new customers each month
$
First-year value of a typical new customer or project
$
Qualified first conversations with potential buyers each month
meetings
Don't track stages? Switch to one overall rate.
Meetings that become qualified opportunities
%
Opportunities you win (new customers)
%
Of every 100 first meetings, how many become paying customers?
%
Days from first meeting to signed deal. Unlocks timing and pipeline.
days
Sharpen the diagnosis Optional
Total value of opportunities open today. Used with stage rates.
$
Available per week for sales conversations
h/wk
Including prep and follow-up
h
Of the prospects you contact, the share who agree to a meeting
%

Nothing you enter is stored or sent. Your numbers live only in this page and its link.

Your result builds here as you type

Fill in target, deal value, meetings and conversion. Add your sales cycle to unlock timing and pipeline insight.

    First meetings each month

    0held today
    0your target needs

    What would have to change on its own

    Revenue here is meetings × conversion × deal value, so each lever alone must rise by the same multiple. The difference is whether that's achievable.

    LeverTodayNeededReality check

    Test a scenario

    Move a lever and see what your engine would produce against the target.

    Today
    Scenario
    Target

    Timing, pipeline and capacity

    What your numbers mean beyond this period.

    How this is calculated

    Every figure comes from one of three places: the numbers you enter, one published benchmark, or arithmetic on those two. Nothing else is assumed.

    Formulas

    Deals neededtarget ÷ deal value
    Meetings neededdeals needed ÷ meeting-to-customer rate
    Current outputmeetings × meeting-to-customer rate × deal value
    Gaptarget − current output
    Gap multipletarget ÷ current output
    Meeting-to-customer ratemeeting→opportunity rate × win rate (stage rates)
    Coverage needed1 ÷ win rate
    Open pipeline needed≈ (target ÷ win rate) × (sales cycle ÷ days in period)
    Selling hours a weekmeetings needed × hours per meeting ÷ weeks in period
    Prospects to contactmeeting gap ÷ your outbound meeting rate

    The one external benchmark

    Figure
    18–19% new-business win rate
    Source
    Ebsta × Pavilion, 2025 GTM Benchmarks Report (published March 2025)
    Sample
    655,000 B2B opportunities worth $48B across 387 companies
    Definition
    Share of new-logo opportunities won
    Used for
    Only compared against an opportunity win rate you enter with stage rates. The diagnosis flags conversion below 18%, the lower of the two figures the report publishes.
    Limits
    An aggregate across industries and deal sizes. Your stage definitions, segment and deal size can move it a lot. Treat it as a direction, not a target.

    Assumptions

    • New-customer revenue only. Expansion revenue from existing customers isn't modelled.
    • Steady state: no ramp-up, seasonality or one-off deals.
    • Your averages hold for the period you choose.
    • Open pipeline uses Little's Law (work in progress = flow rate × time in system) and assumes lost deals spend about as long in pipeline as won ones. Treat it as an estimate.
    • The capacity check counts first meetings only, so real selling time will be higher.

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