投放非封面图片分析
Purpose
Use this skill to evaluate images after the cover in a paid acquisition note. Do not use non-cover images to explain CTR. Non-cover images are seen after the user enters the detail page, so they map to:
- 信任塑造
- 咨询前决策辅助
- 私信进线
- 私信开口
- 留资
If the user provides high-performing notes from the same industry, especially 14-day high read-to-opening notes, use their non-cover images as industry benchmarks. Extract how they visualize itinerary, experience, venue, teacher, price/inclusions, suitable users, and signup path before judging the current image set. Do not use them to explain CTR.
Attribution boundary:
封面 + 标题 -> 点击率 / 初始意向率
正文 -> 进线率 / 开口率 / 留资率
非封面图片 -> 信任证据链 / 决策辅助 / 咨询阻力降低
私信承接 -> 留资质量 / 成交可能
Core Principle
High-inquiry non-cover images answer real user questions. Their job is not simply to look good, but to turn product information into visible proof.
Use this definition:
非封面图片组 = 产品信任证据链 + 咨询前决策辅助
The image sequence should help users:
看懂产品
-> 相信交付
-> 判断适合
-> 知道怎么咨询
Required Inputs
Collect as many as available:
- All non-cover images or screenshots, in order.
- Cover and title, only to understand the intent that brought users in.
- Body copy, if available.
- Product type, location, duration, date, price, inclusions, venue, teacher, group size.
- Campaign metrics: private-message leads, openings, form submissions, opening cost, lead quality.
- Whether interactions are organic, heated, or paid.
If images are unavailable, analyze the planned image list or information architecture instead.
Common High-Inquiry Image Functions
Use this table as the baseline:
| Image Function | User Question |
|---|---|
| 行程图 / 日程表 | 这几天具体做什么? |
| 活动体验图 | 我去了会参与什么? |
| 场地 / 住宿图 | 住哪里?环境安全吗? |
| 人物参与图 | 这个活动真实吗?有人参加吗? |
| 导师 / 课程图 | 谁带?专业吗? |
| 价格 / 包含项图 | 钱花在哪里? |
| 适合人群图 | 我适不适合? |
| 报名方式图 | 我要怎么问、怎么报? |
The image set should not be a random gallery. Each image should answer a conversion question.
Recommended Image Sequence
For travel retreat, healing, course, or activity recruitment:
- Product overview: location, duration, date, product type, price if available.
- Itinerary / schedule: Day 1, Day 2, Day 3, or module sequence.
- Core experiences: what users will physically do.
- Venue / lodging / food: environment and safety proof.
- Teacher / host / course system: who leads and why credible.
- Price / inclusions: what the fee covers.
- Suitable users: who should inquire and who should not.
- Signup / inquiry method: private-message keyword, remaining spots, signup path.
Do not force every project to use all 8 images. Keep the sequence proportional to product price, risk, and decision complexity.
Evaluation Dimensions
Score each from 0 to 10:
- 产品可理解性: Users can understand what is being offered.
- 行程清晰度: Users can see what happens across the days or modules.
- 体验具体性: Abstract product claims are shown as concrete actions.
- 交付可信度: Venue, people, teacher, food, lodging, or past scenes prove the product is real.
- 决策信息完整度: Price, inclusions, lodging, time, place, and quota are visible.
- 适合人群筛选: Users can judge whether they fit.
- 咨询动作清晰度: Users know what to ask and how to ask.
- 顺序合理性: The image order forms a decision chain.
Interpretation:
- 8-10: strong trust evidence chain; suitable for paid acquisition.
- 6-7: usable but one decision question is weak.
- 4-5: visually attractive but weak for inquiry conversion.
- 0-3: mostly atmosphere; cannot support paid lead generation.
Diagnose By Missing Image Type
- No itinerary image: users may ask basic schedule questions or fail to understand the product.
- No experience image: the product stays abstract, especially for 疗愈、静修、旅修.
- No venue/lodging image: safety and comfort doubts remain.
- No people/real participation image: authenticity is weak.
- No teacher/course image: professional trust is weak.
- No price/inclusion image: users hesitate before opening a serious inquiry.
- No suitable-user image: inquiries become broad and low-quality.
- No signup image: users may like the content but not know the next step.
Output Format
Use this structure:
判断 State whether the non-cover image set supports inquiry, opening, and lead submission.
图片功能表 Map each image to its conversion function and the user question it answers.
信任证据链 Explain whether the sequence proves product, venue, experience, teacher, price, and signup path.
缺口 List missing image types and the funnel risk they create.
改法 Recommend image additions, removals, reordering, or copy overlays.
建议组图顺序 Provide a concrete image sequence for the next version.