無料GitHub で公開

outbound-math

Use this skill when you need to turn a revenue or pipeline target into outbound activity: "how many emails to hit quota", "reverse funnel calculator", "how many SDRs do we need", "what activity does our pipeline target require". Works backwards from revenue through win rate, deal size, opportunity rate, meeting rate and reply rate to contacts, touches and daily activity per rep, shows the levers that change the answer most, and checks it against team capacity and market size.

日本語の概要は準備中です。原文の説明を表示しています。

prosyo-ai/gtm-skillスター 11(GitHub 11 + cccskills 0)

実行スコア未検証

インストール方法を見る

含まれるファイル（1）

SKILL.md3.9 KB

SKILL.md（原文）

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Use this when setting targets or headcount. It shows what a number actually requires, and which conversion rate to improve before adding people.

Inputs

Target: new revenue (or pipeline) for the period, and how much should come from outbound.
Rates: win rate, average deal size, held meeting to opportunity, booked to held, positive reply to booked, positive reply rate per contact. Measured if possible; otherwise labelled assumptions.
Team: SDRs and AEs, and their realistic capacity.

The play

1. Run the reverse funnel

Outbound revenue target              $600,000 per quarter
÷ average deal size ($20,000)        = 30 deals won
÷ win rate (25%)                     = 120 opportunities
÷ meeting → opportunity (50%)        = 240 meetings held
÷ show rate (80%)                    = 300 meetings booked
÷ positive reply → booked (60%)      = 500 positive replies
÷ positive reply rate (1.5%)         = 33,333 contacts per quarter
÷ 13 weeks                           = 2,564 new contacts per week

2. Convert to daily activity

Contacts per week × touches per contact ÷ 5 = touches per day across the team. Divide by reps for activity per rep, and compare with what one rep can do well (for example 50-80 new contacts a week with personalization).

3. Check headcount and capacity

Reps needed = contacts per week ÷ realistic contacts per rep per week. AEs needed = meetings per week ÷ meetings one AE can hold well (typically 8-15).

4. Check market size

Contacts per year vs reachable contacts in the ICP. If the plan needs 130,000 contacts a year and the ICP has 25,000, the plan is impossible as written.

5. Show the levers

Recalculate with each rate improved by a realistic step. Usually positive reply rate and meeting-to-opportunity rate change the answer most. Example: 1.5% → 2.5% positive replies cuts required contacts by 40%.

Output format

Target → deals → opportunities → meetings held → booked → positive replies → contacts
Per week: contacts N | touches N | per rep N
Headcount: SDRs N (have N) | AEs N (have N)
Market check: N contacts/year vs N reachable → OK / exhausts in N months
Levers: <rate change → contacts needed>
Assumptions: <which rates are measured vs assumed>

What good looks like

Every rate is labelled measured or assumed.
The plan is checked against both capacity and market size.
The answer recommends the lever to improve before the hire to make.
The common mistake is solving a target with activity alone ("send 3x more"), which burns the market and the domains.

Rules

MUST label assumed rates and use conservative ones.
MUST check the plan against the reachable market.
NEVER present the output as a forecast; it is a requirement model.

Example prompts

"We need $1.2M in new ARR from outbound this year. What activity does that take?"
"How many SDRs do we need for 200 meetings a quarter?"
"Which conversion rate should we improve first to hit target without hiring?"

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

ログインなしで書き込めます。使ってみた感想、質問、動かなかった環境などを気軽にどうぞ。

まだコメントはありません。最初のコメントを書いてみませんか。

同じリポジトリのスキル

abm-account-plan

無料

Use this skill when you run account-based marketing or sales on a short list of named accounts: "build an ABM plan", "account plan for our top 20", "how do we break into this enterprise account", "1:1 ABM program". Picks the accounts and the ABM tier (1:1, 1:few, 1:many), maps the buying group, writes the account insight and value hypothesis, plans coordinated sales and marketing plays by stage, and sets the metrics (engagement, meetings, pipeline) that show it is working.

日本語の概要は準備中です。原文の説明を表示しています。