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campaign-performance-analyzer

Use this skill when you need to understand how outbound campaigns are performing and what to change: "analyse my campaign results", "why is this sequence underperforming", "compare my campaigns", "weekly outbound report". Builds the funnel from contacts to meetings for each campaign, step, segment, sender and channel, benchmarks it, finds the stage where performance breaks, separates list, deliverability, copy and follow-up problems, and recommends the next test. Produces a short report a team can act on.

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包含的文件（2）

SKILL.md4.0 KB
references/outbound-benchmarks.md1.7 KB

SKILL.md（原文）

安装前可以查看交给 AI 代理的指令内容。

Use this weekly or at the end of a campaign. It answers three questions: what is working, where does it break, and what do we change next.

Inputs

Per campaign: contacts, sent, delivered or bounced, replies, positive replies, meetings booked and held, by step, segment, sender and channel.
Opportunities and pipeline created from those meetings.
The period.

The play

1. Build the funnel

Contacts → delivered → replied → positive → booked → held → opportunity. Calculate each conversion. Skip open rates as a decision metric; open tracking is unreliable and often turned off for deliverability.

2. Benchmark

Read references/outbound-benchmarks.md for typical ranges by channel and what each gap usually means. Benchmarks are a sanity check, not a target; your own trend matters more.

3. Find the break

The first stage below benchmark is the problem to fix; improving later stages first is wasted effort.

Break	Usually means	Look at
Bounces	List quality	Source, verification, catch-alls
Low replies, few negatives	Not seen, or not relevant	Deliverability by sender; targeting; first line
Replies, few positive	Message or offer mismatch	Angle, persona, ask
Positive, few booked	Slow or weak reply handling	Time to respond, booking flow
Booked, few held	Weak qualification or reminders	No-show rate, lead time
Held, few opportunities	Wrong ICP or poor discovery	Fit of meetings, discovery quality

4. Slice it

By step (which email gets the replies), segment (which persona or industry), sender (deliverability or skill), channel. Small slices need samples of 100+ contacts before conclusions.

5. Recommend the next test

One test at a time on the broken stage, with a hypothesis and a success threshold.

Output format

Period: | Campaigns: | Contacts:
Funnel (all): contacts → delivered x% → replied x% → positive x% → booked x% → held x% → opps
Best / worst campaign: <name - why>
The break: <stage - evidence - likely cause>
Slices worth noting: <step, segment, sender findings with sample sizes>
Next test: <hypothesis - change - metric - threshold - sample>
Stop / scale: <campaigns to pause, campaigns to give more volume>

What good looks like

Diagnosis follows the funnel order.
Every conclusion states its sample size.
The report ends in one or two decisions, not twenty observations.
The common mistake is optimising subject lines when a third of the emails bounce or land in spam.

Rules

MUST report sample sizes and flag anything under 100 contacts as directional.
MUST check deliverability by sender before judging copy.
NEVER call a test winner on fewer than 200 contacts per variant.

Example prompts

"Here's last month's export for 6 campaigns. What's working and what should we change?"
"Our reply rate halved this month. Find out why."
"Build a weekly outbound report template for our SDR team."

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中文简介正在准备中。当前显示原文说明。