千瓜

Tool introduction:

千瓜It is Guoji's marketing data service platform focusing on the "Xiaohongshu vertical field". The core is to provide brands, talents and marketing teams with one-stop solution of "market research-talent selection-launch management-content insight-effect review". solution. Relying on the database of billions of people and notes and nearly one million brand information databases, the platform realizes full-dimensional data collection (covering pictures, videos, and live broadcasts) and high-frequency updates. It analyzes industry trends, user portraits and competitive products through AI intelligent analysis technology. Product dynamics has served more than one million industry users and meets the marketing needs of small red books in many categories such as beauty and personal care, maternal and infant, food, and home furnishing, helping users activate data value, reduce launch risks, and improve marketing transformation efficiency.

Core functions:

• Market insight analysis: Provide a market for industry talents (number of people posted, number of notes interactions), a market for brand launches (number of participating brands, business note data), a market for live broadcasts (live broadcast popularity, online audience popularity), and support hot word trends (star words, potential words) and core theme analysis to gain insight into the traffic flow of Xiaohongshu;
• Talent number selection and release management: Support search for talents (including head, waist, and junior talent categories) by keyword/ID, display full-dimensional data such as fans, notebook interactions, and business cooperation history; provide batch talent management, one-click generation function of release case closing report, AI identifies the quality of talents accounts and avoids "water number" risks;
• Inspiration support for content creation: Analyze hot topic lists (such as #What to Eat in June,#Hot Food) and popularity increments, explore traffic dividend keywords (such as "Comfort and Breathiness" and "Pearl Skin Care"); provide hot notes Data Trends (interactive distribution, estimated reading), predict hot trends, and help create highly interactive content;
• Brand marketing think tank: Including 千瓜 industry research (industry data reports, such as 2025 beauty and personal care trends), marketing insights (case analysis and strategies), thousand-visit (brand interviews),千瓜 information (hot spots Express delivery), providing brands with marketing strategy reference and helping social media to start cold;
• Data customization and exclusive services: Support highly customization of category data and in-depth track insight; configure 1-to-1 exclusive business/team for customers, and provide customized services such as comprehensive brand diagnosis, competitive product launch monitoring, and user portrait analysis;
• Brand and competitive product monitoring: AI intelligently identifies brand information and analyzes brand business actions (such as launch talents and notebook content); supports brand share query and competitive product PK analysis, grasps competitive product marketing dynamics in real time, and identifies the brand's strength point.

Usage scenarios:

• Cold start of the brand Xiaohongshu: The new brand uses industry market data to understand the traffic trends of the Xiaohongshu category, combines hot word analysis to formulate initial grass planting strategies, and selects suitable talents for the first time;
• Talent selection and delivery: Beauty brands need to find maternal and infant talents to promote skin care products, select the "brand partner" label celebrities through the platform, view their historical notes and interactive data, manage delivery accounts in batches, and generate case closure reports;
• Content creation topic selection: Food bloggers use the hot spot analysis function to obtain hot topics such as #What fruits to eat in June, and combine the potential words "not easy to allergic" and "double moisturizing penetrate into the muscle base"(cross-category reference) to optimize note titles and increase exposure;
• Competitive product marketing monitoring: Coffee brands monitor the types of people, business notes and interactive effects of competing products in Xiaohongshu, adjust their own marketing budgets and content directions, and seize market share;
• Marketing effect review: After the brand is launched, the interactive distribution of notes is checked through the platform, the average CPE is estimated, and the launch effect is evaluated compared with the industry average to provide data support for the next round of marketing plan optimization.

Applicable population:

• Short Video creators/small red book celebrities: individual creators who need to analyze their own account data, obtain content inspiration, and connect with brand cooperation (such as food bloggers, shop hunters bloggers);
• Brand marketing team: corporate personnel responsible for planting grass and releasing small red books (such as beauty and personal care, maternal and infant, and home furnishing brand marketing departments);
• Marketing agency: A third-party team that provides customers with small red book agency operations and talent selection services needs to rely on data tools to improve service efficiency;
• Market researchers: Analysts or corporate strategy department personnel who need to conduct in-depth research on Xiaohongshu industry trends and category competition landscape;
• Small and medium-sized business owners: merchants who do not have a professional marketing team and need to independently promote the Xiaohongshu brand and monitor the dynamics of competing products through data tools.

Unique advantages:

1. Xiaohongshu's vertical focus: Compared with the general social media data tool, it only focuses on the Xiaohongshu ecosystem, the data dimensions are more accurate (such as Xiaohongshu's exclusive hot words and talent label system), and the marketing plan is more in line with the platform rules;
2. Leading data scale and update frequency: covering billions of people and note data, recording text, video, and live broadcast data in real time, and the update frequency is higher than similar platforms to ensure data timeliness;
3. In-depth analysis of AI empowerment: Self-developed AI models identify the quality of talents, analyze user portraits, and associate brand information to avoid manual analysis errors and improve data interpretation efficiency;
4. Full-link service closed-loop: From market research to launch and case closure, there is no need to switch multiple tools to meet the entire marketing process needs of Xiaohongshu in one stop, especially suitable for the brand's "0 to 1" cold start;
5. Guoji brand endorsement: Relying on Guoji's 10 years of experience in social media data analysis, the industry has rich resources, and it can link up with other platforms under Guoji (Ruiluo Pro) to achieve cross-platform marketing collaboration.