CROSS-BORDER E-COMMERCE & MCN

AI-Powered Marketing Paradigm

Intelligent-driven comprehensive upgrade of content creation, advertising and user operations

Empowering Intelligent Marketing

EMPOWERING INTELLIGENT MARKETING

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SCENARIO 01

AI Data Analysis for Ad Campaigns

Current Problems

  • High analysis threshold (SQL+BI required)
  • Difficult insight acquisition (85% time organizing)
  • Knowledge transfer gaps

Solutions

  • Zero-threshold natural language queries
  • Intelligent insights and attribution
  • Full-chain standard closed loop

Data-Driven Decision Cycle

Monitor
Analyze
Decide
Verify

SCENARIO 02

AI Ad Material Management

Current Problems

  • Chaotic tagging system
  • Buried material value
  • Data asset silos

Solutions

  • Intelligent annotation industrialization
  • Unified multimodal understanding
  • Knowledge-based asset management

Multimodal Knowledge Base

Visual
Text
Data
Knowledge Base

Solution Value

THE AI ADVANTAGE

Before

Fragmented

Long processes & inefficient collaboration

FRAGMENTED & INEFFICIENT

Manual Experience

Strategy relies on intuition & hard to reuse

INTUITION-DRIVEN, LOW REUSABILITY

Delayed Response

Missing data loop & slow optimization

NO DATA LOOP, SLOW OPTIMIZATION

After

300%

Video creation efficiency boost

EFFICIENCY BOOST

30%+

Ad ROI improvement

ROI INCREASE

90%

Content reusability improvement

CONTENT REUSABILITY

SCENARIO 03

Automated A/B Testing for Ad Campaigns

Current Problems

  • Inefficient test material and strategy output (time-consuming)
  • Complex multi-platform test configuration (high operational cost)
  • Difficult closed-loop for test result analysis and strategy optimization

Solutions

  • AI-generated test materials and ad strategy groups
  • Automated cross-platform A/B testing execution and management
  • AI insight analysis and strategy iteration recommendation closed loop

Automated A/B Testing Pipeline

TikTok

Facebook

YouTube

Strategy Templates

CASE STUDY 01

KOL Viral Video Analysis - Leading TikTok MCN

Pain Points Before

Manual time-consuming topic selection/scripting/filming; difficult balance between brand and personality; slow viral video review, hard to catch trends.

Gains After

Comprehensive AI-powered creation workflow (influencer recommendation->script generation->video analysis); AI analyzes 800+ videos/day; workflow time reduced by 70+ person-days/month.

800+

Videos Analyzed/Day

AI automated video analysis count

CASE STUDY 02

Ad Marketing AI Efficiency - Leading Consumer Robot Brand

Pain Points Before

One-week creative design cycle; time-consuming requirement explanation, scheduling wait, high collaboration costs.

Gains After

Generative AI material recommendations; automated strategy execution; full-chain data automatic analysis and attribution; achieved 'material-placement-review-remarketing' intelligent closed loop.

30%+

ROI Improvement

Ad return on investment improvement

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