西瓜数据

Tool introduction:

西瓜数据It is a data-driven service platform that focuses on the "full process of new media advertising delivery". The core provides brands with integrated marketing solutions from "KOL screening → launch monitoring → post-launch review → competing product analysis". Relying on 8 years of experience in launching public accounts, the platform covers 100 million + fan resources, includes 80,000 + brand cases, and serves 120,000 + industry users. Through real-time data monitoring and accurate matching capabilities, it helps brands identify "water accounts"(false traffic accounts), reduce launch costs, while tracking the marketing dynamics of competing products, identifying the right brand strengths, and adapting to mainstream new media advertising scenarios such as public accounts and Short videos.

Core functions:

• Evaluation of the advertising value of social media accounts: Provide minute-level monitoring reports on reading and likes of accounts such as public accounts, quickly identify false traffic accounts (water accounts), and avoid placing them into pits;
• Data authenticity guarantee: Track the interactive data (reading, likes, forwarding) after advertising in real time, generate monitoring reports, and verify the authenticity of traffic;
• Accurate KOL matching: Match talents in corresponding fields based on advertising content and product characteristics (such as beauty, education, workplace) to improve delivery conversion rate and number finding efficiency;
• KOL insight analysis: Combing the history and real-time data performance of talent players (such as past launch results, fan portraits), and assisting brands in evaluating the launch value and potential of talent players;
• Competitive product tracking: Organize the current status of social media platforms (placement accounts, strategies) of competing products and their products in multiple dimensions, compare marketing links, and clarify the driving points of brand differentiation;
• Full-process marketing support: Provide advertising copy risk detection, KOL business docking, post-launch effect tracking and review report generation services;
• Brand public opinion monitoring: Monitor social media public opinion dynamics of brands, sub-brands and related products, and timely grasp market feedback.

Usage scenarios:

• Brand-side new media advertising: The corporate marketing team looks for suitable KOL (such as beauty brands matching beauty celebrities such as "Lulu Huang Le" and "Hong Pangpang"), and monitors and verifies the effect through minute-level data after launch to avoid false traffic loss;
• Marketing strategy analysis of competing products: Brands track the launch accounts, copywriting styles and post-launch data of competing products on public accounts and Short Video platforms through the platform, and adjust their own marketing plans;
• KOL value assessment: New media media personnel evaluate the advertising value of celebrities (such as "Lukwen Studio" and "Ten o'clock Reading") to determine whether it meets the brand budget and target audience;
• Post-launch effect review: After the advertising is finished, a data review report (such as conversion rate and interaction rate) is generated to provide a basis for subsequent launch optimization;
• Brand public opinion management: Monitor the popularity and negative information of brand-related keywords on social media platforms, and respond to public opinion risks in a timely manner.

Applicable population:

• Corporate brand marketing team: Brands that need to place advertisements on public accounts and Short Video platforms and pursue accurate customer acquisition and cost control (such as domestic beauty, education and training, workplace brands);
• New media media/operations personnel: Practitioners responsible for KOL screening, advertising docking and post-investment monitoring need to improve the efficiency of number search and delivery security;
• Self-media KOL/Talent: Content creators who want to evaluate the advertising value of their own accounts and connect with brand business cooperation (such as public accounts, big V, Short Video Talent);
• Marketing Agency (MCN): A third-party organization that provides customers with new media advertising services and relies on data tools to screen KOL and monitor the effectiveness.

Unique advantages:

1. Data monitoring is time-sensitive: it supports minute-level monitoring of reading and likes. Compared with similar platforms (mostly hourly), it can identify false traffic faster and reduce delivery risks;
2. KOL resources cover a wide range: integrating KOL resources with 100 million + fans, covering many fields such as information, emotion, education, and beauty, and including head accounts such as "Zhanhao" and "Ten Points Reading" to meet the brand's launch needs of different levels;
3. Deep experience in the industry: 8 years of experience in launching public accounts, familiar with domestic new media platform rules (such as public account traffic mechanism), and the adaptability of the plan is higher than that of general marketing platforms;
4. Full-process service closed-loop: From KOL screening, copy detection to post-launch review, there is no need to switch multiple tools to solve the brand's new media advertising needs in one stop and improve operational efficiency.