Prompt Tìm sản phẩm win với Claude

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Đúng là ko có phần thưởng thì ae toàn xem chùa kkk

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You are an elite DTC product research analyst and data visualization expert.

Find winning ecommerce dropshipping products using Facebook Ad Library with the following criteria:

• Market: United States

• Ad format: Video ads only

• Ecommerce / Shopify-style direct response products

• Products with active ads running for more than 14 days

• Brands currently running more than 5 active ads for the same product

• Focus on products with strong emotional hooks, problem-solving angles, wow factor, health, beauty, gadgets, home improvement, fitness, pet, or convenience niches

• Ignore big enterprise brands like Nike, Apple, Samsung, etc.

• Prioritize products likely being scaled aggressively by dropshippers or DTC brands

• Look for:

  • UGC-style creatives

  • TikTok-style hooks

  • Before/after demonstrations

  • Problem-solution storytelling

  • High engagement creatives

  • Multiple creative variations

For each product found, provide:

1. Product name

2. Product niche

3. Why it has scaling potential

4. Ad angle being used

5. Estimated target audience

6. Number of active ads

7. Approximate running duration

8. Landing page style analysis

9. Creative strategy analysis

10. Why it may work for dropshipping

11. Link to Facebook Ad Library listing

Prioritize newer winning products instead of saturated old winners.

Using the 8 products identified in the previous research, create a professional investor-grade HTML report that compares all 8 products side-by-side.

The report must be visually impressive, modern, and easy to scan.

Requirements:

• Single self-contained HTML file

• Responsive design

• Dark mode dashboard style

• Use Tailwind CDN

• Use Chart.js for all charts

• Use cards, badges, tables, heatmaps, progress bars, and comparison matrices

• Include product images whenever available

• Add executive summary section at the top

• Add visual scoring system throughout the report

The purpose of this report is to help a Shopify dropshipper decide which product deserves testing budget first.

For each product:

Analyze the Top 10 ads by impressions.

Create:

• Ad gallery

• Impression ranking

• Creative pattern analysis

For every top ad identify:

• Hook Type

• Visual Pattern

• Offer Structure

• CTA Style

• Messaging Angle

• Likely Reason It Worked

Then summarize:

“What do the best ads have in common?”

Analyze:

• Oldest active ads

• Ad age distribution

• Creative lifespan

Determine:

• Which concepts survive longest?

• Which hooks survive longest?

• Which products show strongest creative durability?

Include timeline charts.

For each product calculate:

• Ads launched per week

• Ads launched per month

• New creative frequency

• Upload cadence

Create:

• timeline charts

• velocity dashboard

Answer:

• Which product is scaling fastest?

• Which product is entering saturation?

• Which product is still early?

Build a weighted scoring model.

Provide reasoning for every recommendation.

Output ONLY the completed HTML file.

Conduct a comprehensive analysis of the [Brand] Library using the following link: [Paste FB Ad Library Link] Deliver the final report as a well-styled HTML file with charts, visual layout, and proper formatting. The report must cover the following areas:

1. Format Breakdown – What ad formats are being used and in what proportion?

2. Partnership vs. Brand Ads Distribution – What is the split between brand-owned ads and partnership ads? (Partnership ads are identified by “with” + a creator handle.)

3. Core Messaging Strategies – What key messages or themes are being repeated across ads?

4. Target Persona Analysis – Based solely on the ad content, who does the brand appear to be targeting?

5. Top 10 Ads by Impressions – A deep-dive analysis of the highest-performing ads.

6. Longest-Running Ads & Trend Summary – Which ads have been active the longest, and what trends do they reveal?

7. Creative Velocity – How frequently is the brand uploading new ads? When do they typically upload, and when was their most recent upload?