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数据处理

营销活动投入与转化分析

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分析用户导出的活动数据，计算 ROI、ROAS 和漏斗转化，比较不同渠道的归因结果。

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github最新版本 0.1.1更新于 2026-10-21下载 2 次2 个版本

assets/ab_test_template.md

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1# A/B Test Analysis
2
3**Test Name:** [Descriptive test name]
4**Test ID:** [Internal tracking ID]
5**Date:** [Start Date] - [End Date]
6**Status:** [Planning / Running / Complete / Inconclusive]
7
8---
9
10## Hypothesis
11
12**If** [we change X],
13**then** [Y will happen],
14**because** [rationale based on data or insight].
15
16---
17
18## Test Design
19
20| Parameter | Detail |
21|-----------|--------|
22| **Variable Tested** | [What is being changed] |
23| **Control (A)** | [Description of control variant] |
24| **Variant (B)** | [Description of test variant] |
25| **Primary Metric** | [The main metric being measured] |
26| **Secondary Metrics** | [Additional metrics to monitor] |
27| **Traffic Split** | [50/50, 70/30, etc.] |
28| **Minimum Sample Size** | [Required sample per variant for statistical significance] |
29| **Minimum Detectable Effect** | [Smallest meaningful difference, e.g., 5% lift] |
30| **Confidence Level** | [95% or 99%] |
31| **Expected Duration** | [X days/weeks based on traffic and sample size] |
32
33---
34
35## Targeting
36
37| Criterion | Value |
38|-----------|-------|
39| **Audience** | [Who sees the test] |
40| **Channel** | [Where the test runs] |
41| **Device** | [All / Desktop / Mobile] |
42| **Geography** | [Regions included] |
43| **Exclusions** | [Who is excluded and why] |
44
45---
46
47## Results
48
49### Primary Metric: [Metric Name]
50
51| Variant | Sample Size | Conversions | Rate | Lift vs Control |
52|---------|------------|-------------|------|----------------|
53| Control (A) | | | % | - |
54| Variant (B) | | | % | % |
55
56**Statistical Significance:** [Yes/No] at [X]% confidence
57**P-value:** [X.XXX]
58
59### Secondary Metrics
60
61| Metric | Control (A) | Variant (B) | Lift | Significant? |
62|--------|------------|-------------|------|-------------|
63| [Metric 1] | | | % | [Yes/No] |
64| [Metric 2] | | | % | [Yes/No] |
65| [Metric 3] | | | % | [Yes/No] |
66
67---
68
69## Segment Analysis
70
71| Segment | Control Rate | Variant Rate | Lift | Notes |
72|---------|-------------|-------------|------|-------|
73| Desktop | % | % | % | |
74| Mobile | % | % | % | |
75| New Visitors | % | % | % | |
76| Returning Visitors | % | % | % | |
77| [Custom Segment] | % | % | % | |
78
79---
80
81## Revenue Impact Estimate
82
83| Metric | Value |
84|--------|-------|
85| **Projected Annual Lift** | [X]% |
86| **Projected Additional Revenue** | $[X] |
87| **Projected Additional Conversions** | [X] |
88| **Confidence in Estimate** | [High/Medium/Low] |
89
90---
91
92## Decision
93
94**Winner:** [Control / Variant / Inconclusive]
95
96**Rationale:** [Why this decision was made, citing specific metrics and statistical significance]
97
98**Implementation Plan:**
99- [ ] [Step 1: e.g., Roll out variant to 100% of traffic]
100- [ ] [Step 2: e.g., Update creative assets across campaigns]
101- [ ] [Step 3: e.g., Monitor for X days post-implementation]
102- [ ] [Step 4: e.g., Document learnings in knowledge base]
103
104---
105
106## Learnings
107
108**What we learned:**
1091. [Key learning 1]
1102. [Key learning 2]
1113. [Key learning 3]
112
113**Follow-up tests to consider:**
1141. [Next test idea based on results]
1152. [Next test idea based on results]
116
117---
118
119## Quality Checks
120
121- [ ] Sample size reached minimum threshold
122- [ ] Test ran for at least 1 full business cycle (7 days minimum)
123- [ ] No external factors (holidays, outages, promotions) affected results
124- [ ] Segments were balanced between variants
125- [ ] No sample ratio mismatch (SRM) detected
126- [ ] Results reviewed by at least 2 team members
127
128---
129
130*Template from campaign-analytics skill. Statistical significance calculations require external tools (e.g., online calculators or scipy).*

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