Aggregate Performance for the Same Post. Use when you need post-level performance across ads; apply this method to the specified inputs and verify the deliverable
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---
name: mk-205
description: "Aggregate Performance for the Same Post. Use when you need post-level performance across ads; apply this method to the specified inputs and verify the deliverable"
---
# MK-205|Aggregate Performance for the Same Post
For a regular chat, upload `packs/mk-205.md`; it includes the shared rules, this method, and required references
## Purpose
This Skill delivers: **Post-level performance across ads**
Past success supports candidates and hypotheses only; shared content elements are not proven causes of success
## Required Inputs
Post ID-to-ad mapping, same-period spend, impressions and consistently defined click/engagement/conversion counts, task and attribution window
## Method Steps
1. Match ad rows by Post ID, remove repeated exports and fix period, click/engagement definitions, task and attribution window
2. Sum additive, mutually exclusive comparable rows for cost, impressions, clicks and valid outcomes, then recompute rates from summed numerators/denominators; do not sum or average row CTRs
3. Keep acquisition/re-engagement and traffic/sales tasks separate; overlapping conversion attribution is not deduplicated real orders
4. Deliver raw totals, formulas and results, leaving zero-denominator rates undefined
## Calculation and Interpretation
CTR = consistently defined clicks / total impressions; CPC = total spend / corresponding clicks; cost per sale = comparable spend / corresponding valid sales. Preserve click type and percentage units for CTR
## Required Output Fields
| Order | Field | How to complete |
|---:|---|---|
| 1 | Post ID/source ad rows | Use the supplied source, calculation, or explicit unknown |
| 2 | Task, period and attribution window | Use the supplied source, calculation, or explicit unknown |
| 3 | Spend/impression totals | Use the supplied source, calculation, or explicit unknown |
| 4 | Click, engagement and sale counts | Use the supplied source, calculation, or explicit unknown |
| 5 | Numerators/denominators/formulas | Use the supplied source, calculation, or explicit unknown |
| 6 | Recomputed results | Use the supplied source, calculation, or explicit unknown |
| 7 | Duplicates/noncomparable rows | Use the supplied source, calculation, or explicit unknown |
| 8 | Interpretation | Use the supplied source, calculation, or explicit unknown |
## Verification cases
**MK-205-A1 | Comparable rows: 100 impressions/10 clicks and 900 impressions/9 clicks**
Expected: CTR = 19/1000 = 1.9%, not row-average5.5%
**MK-205-A2 | Rows use different click definitions**
Expected: Calculate separately, not one combined CTR
## Method Sources
Original file: Meta廣告學程 103 如何有效放大成效
Source location: Hero
Source basis: Derived from course material
Original URL: https://docs.google.com/presentation/d/1LoV6FtBtLBi4MRoWgygvmEhgq7FwirK0Ik2_PJP6_8k/edit
English translation of source excerpt retained in the master table:
> These ads embody the Hero Post concept