English 
Content Equals Conversion: Leveraging Trending Keywords and Comment Analysis to Create High-Converting Short Video and Livestream Scripts
Introduction
In the era of short-form videos and livestream e-commerce, content that truly resonates with user interests directly determines conversion effectiveness.
When content planning is based on intuition alone, common pitfalls include:
Producing a “standard unboxing” video that fails to resonate
Emphasizing “quality” in dialogue, while users care more about “cost-performance”
Talking for 10 minutes without addressing what users actually care about
The key to bridging this gap lies in two major data sources:
Trending Keywords on Platforms: What users are currently searching for and discussing
User Comment Mining: The real details and pain points users care about
This article will guide you through how to use API data from platforms such as Douyin, TikTok, and Walmart provided by LuckData, to build a “data-driven content planning mechanism.”
1. Why Scripts Should Be Based on Trends + Comments
With data-driven content planning, creators can shift from guessing to targeting. Here are three core data sources and their value for content creation:
Data Source | Insight for Content Creation |
|---|---|
Trending Keywords (e.g., TikTok Hot List) | Reveal hot topics, popular tags, product directions |
User Comment Analysis | Surface real user concerns, pain points, emotional triggers |
Product Search Keywords | Inspire titles and topics based on user search behavior |
Example:
Douyin trending keyword: “multi-functional storage box” → Title idea: “These storage hacks? You should’ve had them long ago”
Frequent comments include “great organization, easy sorting” → Script should emphasize real-life usage (e.g., for kids' toys, makeup)
This kind of data-to-content reverse engineering significantly improves targeting and conversion.
2. Step by Step: How to Reverse-Engineer Content Using Data
Step 1: Get Current Platform Trends
For example, using the LuckData Douyin API to retrieve the latest trending topics:
GET https://luckdata.io/api/douyin-API/get_xv5p?city=110000&type=rise_heat&start_date=20241223&end_date=20241224Returned data includes topic name, heat index, number of related videos, and more.
Use this data to:
Identify rising hot topics
Connect product features to trending conversations
Spot challenge-style content opportunities
Step 2: Extract Keywords from User Comments
Gather comments from platforms like TikTok, Walmart, or Lazada. Then use NLP tools (e.g., SnowNLP, TextRank, TF-IDF) to extract high-frequency keywords.
Keyword categories:
Keyword Type | Example Keywords |
|---|---|
Pain Points | strong smell, breaks easily, wrong size |
Scenario-based | office, dorm, kids’ toys |
Positive | large capacity, good value, easy to install |
Negative | missing parts, poor customer service |
Key questions to explore:
What product features do users praise most?
Are there recurring complaints to address in content?
Which scenarios spark emotional connection?
Step 3: Match Keywords with Script Structure
Integrate the extracted data strategically into different parts of your script:
Script Segment | Recommended Data-Driven Elements |
|---|---|
Title / Thumbnail | Trending keywords or top positive review terms |
First 5 Seconds | Most mentioned pain points or emotional triggers |
Product Highlights | Functional strengths users genuinely appreciate |
Call to Action / Comments Prompt | Use hot topic phrases or high-resonance language to boost interaction |
This structure ensures your content connects quickly and deeply with your target audience.
3. Case Study: Turning a Niche Storage Product into a Douyin Hit
Product: Multi-functional desktop organizer
Trending Keywords: storage hacks, minimalist living
Frequent Comment Keywords: well-organized, stackable, sturdy material
Final script suggestions:
Title: #StorageHack Rated 5 Stars! ✅
First 5 Seconds: “Tired of a messy desk? This changes everything.”
Middle Segment: “Three-tier drawer layout – fits everything from pens to cosmetics. Stackable and space-saving.”
Comments Prompt: “What’s the weirdest thing you’ve ever tried to store? Let me know!”
By aligning the script with real user language, trending keywords, and practical use cases, conversion rates can be dramatically improved.
4. How LuckData Supports Content Teams
Feature | Description |
|---|---|
Trend Tracking | Real-time monitoring of hot keywords and challenges from Douyin, TikTok |
Comment Mining | Auto extraction of keywords, sentiment analysis, and pain point classification |
Multi-Platform Integration | Supports TikTok, Douyin, Walmart, Lazada, and more |
Zero-Code Access | Python, Shell, and other easy-to-use templates for integration |
With LuckData, teams can rapidly gain insight-rich datasets that improve content decision-making and creation speed.
5. Conclusion: Let Data Drive Your Creative Process — Not Luck
Top content creators are shifting from spontaneous inspiration to structured, data-driven content ideation.
✅ Leverage market trends → Better exposure
✅ Address user pain points → Stronger engagement
✅ Follow structured scripting → Higher retention and conversions
By using trending keywords, comment insights, and user-driven scenarios, you can consistently create content that is memorable, relatable, and action-oriented — making your short videos and livestreams not just scroll-stopping, but sales-driving.
