Number Selection System
Identify and quantify accounts
Identify High-Value Accounts
The quantitative data application of the system can implement analysis through content quality, growth rate, commercialization degree, etc., so as to discover and excavate potential high-value accounts earlier than the market.
Advanced Pricing System
Apart from the basic interactive unit price CPE and playback unit price CPM, the system also sets a reference price for the same level. Specifically, the system screens through the background grid CPE and the interactive fan ratio to form a median, so as to accurately screen high-quality bloggers whose actual cost performance is higher than the quotation.
Category Analysis
Break down categories into keywords, and insight into user preferences through quantitative comparison
Quantitative comparison
- Category Analysis Methodology
- User Mind Radar
- Dismantling of Product Elements
- Comparison of Product Function & Pain Point Words
- Scene Analysis
Traffic Password Library
Utilize keyword quantification and automatic classification
Explore high-quality keywords in various categories
Keyword quantification
- Traffic Leverage
- Aggregation of Bloggers
- Professional Degree
- Classification and Screening
Content Recommend Engine
Adopt the affiliate network of keywords
Explore the real user mind
Association of Extended words
- Category words - Explore relevant high-quality words within the category
- Topic words – Explore derived topics from high-quality topics
- Concept Words – Explore connotative explanations or extensions based on the relevance
- Contribute to enlarging the crowd and expanding the category
Association of Combined words
- In-depth category analysis
- Topic cross-extension
- Relevance between brands, the crowd, scenes and cultures
- Promote the topic selection, creativity and product innovation
High-quality agent of core content platforms
Self-Incubation & Outsourcing
Self-incubation of high-value talents, and outsourcing of MCN strategic partners
Crowd-Based Product Recommendations
Open the full-link behavior matching of the crowd with product recommendation behavior based on Ali digital technology
All rights reserved Copyright (C) 2023 Shanghai Tomatogo Information Technology Co., Ltd.Shanghai ICP Note No. 20001023-3