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UGC Video Creator Workflow

Step 02 — Feeding Product Information

There are two ways to build your product information card. Choose based on whether your product already has internal research.

Option A — Product is in the Generated Products drive. The D2S team has interviewed Brand Managers and built detailed documents for some PB products. If your product is in the internal drive, download all the documents in its Logs folder and use them with the prompt below to get a product information card. Ask Lucid for access to the Generated Products drive.

ROLE
You are a structured data-extraction and synthesis agent.
Your job is to create one exhaustive INTERNAL product information card by reading the uploaded documents.
This task is purely factual.
Do not:
- Market the product
- Improve wording
- Add skincare knowledge
- Infer intent or benefits
- Fill gaps creatively
If information is not explicitly stated, write "Not found".
Accuracy and completeness are more important than brevity.

SOURCE CONSTRAINT
Use ONLY the uploaded internal documents:
- Brand identity
- Product research
- USP and themes
- Funnel stage notes
- SKU, pricing, packaging, audience or strategy files
Do NOT use PDPs, reviews, or external knowledge.

EXTRACTION LOGIC (IMPORTANT)
You must perform one full scan of all documents.
For each section below:
- Actively search for relevant information
- Collect all matching details
- Preserve original phrasing where possible
- If multiple statements exist, list all
If a section has zero explicit data, return "Not found".

INFORMATION CLASSES TO EXTRACT

1. PRODUCT IDENTIFICATION
Extract: Brand name; Product name; Product category; Sub-category or format (if mentioned); Variant names; Size / quantity; Any additional SKUs or minis mentioned

2. PRICE & COMMERCIAL STRUCTURE
Extract: MRP; Selling price(s); Discount values; Pack pricing; Offer mechanics; Threshold offers; Bundle mentions
Use exact wording from documents.

3. PRODUCT FORMAT & PHYSICAL ATTRIBUTES
Extract: Form factor (jar, tube, pump, etc.); Material (plastic, glass, etc.); Texture description (if documented); Packaging shape; Dominant colours; Visual design notes; Any references to clinical / fun / premium / accessible look

4. INGREDIENT STRUCTURE (INTERNAL VIEW)
Extract: Hero ingredient(s); Supporting ingredients; Ingredient groupings (e.g. "boosted with"); Any percentages; Any hierarchy of actives
Do NOT explain benefits unless explicitly written.

5. CLAIMS & ASSERTIONS
Extract verbatim: Primary claims; Secondary claims; Quantified claims (2X, 3X, 10X, etc.); Safety positioning; Approval mentions (dermat-approved, etc.); Time-to-results statements; Comparative statements (if stated)

6. USAGE & ROUTINE DEFINITION
Extract: How to use instructions; Frequency; Time of use (day/night); Routine placement (first step, last step, etc.); Application cues; Caution notes or disclaimers

7. TARGET USER INTELLIGENCE
Extract only what is explicitly stated: Age range; Gender; Geography; Income / SEC; Primary target group; Secondary target group; Use-case users (beginners, men, teens, etc.)

8. PSYCHOGRAPHIC & MOTIVATIONAL SIGNALS
Extract: Attitudes; Frustrations; Values; Purchase drivers; Emotional or mindset descriptors
Use document language only.

9. BRAND & COMMUNICATION SYSTEM
Extract: Brand persona descriptors; Tone or voice cues; Brand archetype language; Typography; Colour system; Visual language notes

10. INTERNAL THEMES & STRATEGIC FRAMING
Extract: Core themes; Non-primary themes; Usage-led themes; Benefit-led themes; Social proof or trust themes; Funnel-stage positioning cues
Do not prioritise or reinterpret.

FINAL OUTPUT FORMAT (STRICT)
Return one clean, structured card:

PRODUCT INFO CARD — INTERNAL INTELLIGENCE (NON-PDP)

BASICS
Brand:
Product Name:
Category:
Variant / Size:
Additional SKUs:

PRICE & VALUE
MRP:
Selling Price:
Discount:
Offer Notes:

PRODUCT FORMAT & PHYSICAL ATTRIBUTES
Form Factor:
Material:
Packaging Description:
Texture (if mentioned):
Dominant Colours:

INGREDIENT STRUCTURE
Hero Ingredient(s):
Supporting Ingredients:
Ingredient Percentages:

CLAIMS & POSITIONING

USAGE & ROUTINE
How to Use:
Frequency:
Routine Placement:
Cautions:

TARGET USER INTELLIGENCE
Demographics:
Primary TG:
Secondary TG:

PSYCHOGRAPHIC SIGNALS

BRAND & COMMUNICATION CONTEXT
Brand Persona:
Typography:
Visual Language:

INTERNAL THEMATIC FRAMING
Core Themes:
Secondary Themes:

Option B — Product is not in the drive. If your product isn't in the drive, build the card from its Purplle PDP and reviews instead. Copy the prompt below, add your product's PDP link and screenshots of a few detailed reviews, and make sure Agent Mode is selected before you send it. If a mini computer screen opens in your GPT chat, agent mode is working and GPT is crawling the PDP.

You are a data-extraction and synthesis agent.
Your task is to perform ONE complete crawl across TWO Purplle URLs + Screenshots of reviews for the SAME product and return ONE hook-ready product intelligence card.
This task is purely factual and observational.
Do NOT market the product.
Do NOT infer, interpret, summarize, embellish, or add skincare knowledge.
If information is not clearly visible on the page(s), return "Not found".
Source of truth:
- Purplle Product Detail Page (PDP)
- Purplle Reviews Page (with reviews expanded)
No external assumptions.
No creative framing.
Accuracy is more important than completeness.

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INPUT
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Purplle PDP URL:
[Enter PDP page link here]
Purplle Reviews URL:
[Enter PDP reviews page link here]

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CRAWL & EXTRACTION TASKS
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1. PRODUCT FACTS (FROM PDP ONLY)
Extract exactly as written:
- Brand name
- Full product name
- Product category (as implied by the page)
- Variant name
- Size / quantity

2. PRICE & VALUE CONTEXT (FROM PDP ONLY)
Extract:
- MRP (₹)
- Current selling price (₹)
- Discount (₹ or %, if mentioned)
- Active offer text (exact wording)
IMPORTANT:
- Do NOT extract stock counts or "items left" indicators
- Ignore availability quantity as it is dynamic

3. RATINGS SNAPSHOT (FROM PDP / REVIEWS HEADER)
Extract:
- Average rating
- Total number of ratings
- Any credibility labels shown (e.g. "verified users")

4. CLAIMS & POSITIONING (FROM PDP ONLY)
Extract verbatim:
- Headline claims
- Bullet-point claims
- "Why you'll love it" or equivalent sections
- Any percentage-based customer agreement claims (e.g. "90% users agree…")
Do NOT rephrase.
Do NOT translate into benefits.
Do NOT soften or strengthen language.

5. INGREDIENT INTELLIGENCE (FROM PDP / INGREDIENT IMAGES)
Extract:
- Full ingredient list (as shown)
- Highlighted ingredients
- Any ingredient percentages mentioned
If ingredients appear only in an image or visual block:
- Transcribe exactly as visible

6. USAGE & SUITABILITY (FROM PDP ONLY)
Extract:
- "How to use" instructions
- Skin type suitability
- Concern-based positioning (as written)

7. REVIEW LANGUAGE & USER SIGNALS (FROM REVIEWS PAGE)
You must scroll and read multiple reviews.
Extract ONLY language users actually use.
A. REVIEW TAGS / FILTERS
- All visible review tags or filters
- Associated percentages or counts if shown
B. COMMON USER PHRASES (VERBATIM)
Extract repeated phrases users use to describe:
- Texture
- Feel
- Absorption
- Comfort
- Value
- Results
List phrases exactly as written.
Do NOT paraphrase.
C. PAIN SIGNALS (VERBATIM)
Extract statements indicating:
- What users disliked in other products
- What problem this product solved
- Frustration, fatigue, relief, or scepticism

8. USER SEGMENT CLUES (FROM REVIEWS ONLY)
Based ONLY on explicit mentions, extract:
- Skin types mentioned
- Usage frequency mentions (daily, regular, etc.)
- Climate / feel references (heat, sweat, grease, stickiness)
Do NOT infer demographics.

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FINAL OUTPUT FORMAT (STRICT)
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Return ONE clean card in the following structure:

PRODUCT INFO CARD — HOOK READY

BASICS
Brand:
Product Name:
Category:
Variant / Size:

PRICE & VALUE
MRP:
Selling Price:
Discount:
Active Offers:

RATINGS
Average Rating:
Number of Ratings:
Credibility Labels:

CLAIMS (AS WRITTEN)
-
-
-

INGREDIENTS
Full Ingredient List:
Highlighted Ingredients / %:

USAGE & POSITIONING
How to Use:
Skin Type / Concerns:

REVIEW SIGNALS
Top Review Tags:
-
-
-
Common User Phrases:
-
-
-
Repeated Pain Points:
-
-
-

USER SEGMENT CLUES
Explicit Skin Types Mentioned:
Usage Frequency Mentions:
Feel / Climate Mentions:

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NON-NEGOTIABLE RULES
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- Do NOT guess missing data
- Do NOT rewrite into marketing language
- Do NOT merge or summarise phrases
- Use exact wording wherever possible
- If information appears multiple times, choose the clearest instance
- This output must be usable directly for ad hook writing
End task.