飞瓜品策

Platform introduction:

飞瓜品策It is a "strategic-level marketing decision-making hub" for domestic brands. It solves five types of brand operation pain points: Blind track selection : Unknown industry high-diving track (For example,"Which categories grow at a growth rate exceeding 700%"), blindly entering the Red Sea market leads to waste of resources;* Competitive products are not clear : Only know the sales volume of competing products, but do not understand their "product selling points, price strategies, and marketing actions", unable to find differentiated advantages; The crowd is not sure : Don't understand the "real pain points of the target consumer (such as 'anti-cracking' and 'light lip lines' in the demand for lip protection), interest preferences, and purchasing decision-making factors ", marketing is out of touch with the product; New products cannot be pushed : There is no market verification before new products are developed, and due to market launch," It does not meet consumer demand "leads to slow sales; Public opinion is difficult to control : It is impossible to capture consumers '" positive comments (such as' good moisturizing effect') and negative feedback (such as 'ingredient stimulation')"on the brand/product in real time, missing the opportunity to optimize.

Its core logic is to "reconstruct the brand operation link with 'data penetration industry-AI analysis laws-decision-implementation scenarios': there is no need to blind trial and error, data helps you lock high-diving tracks; there is no need to manually keep an eye on competing products, AI automatically Disassemble its strategic actions; there is no need to guess consumer needs, and public opinion analysis directly hits real pain points, allowing brand decision-making to shift from" empirical judgment "to" data-based and scientific ", adapting to all levels of needs from individual merchants to head groups.

Core functions:

1. Core: Three-layer functional system

   (1) Scenario level: Focus on brand core decision-making scenarios

   Solve the "specific pain points of the brand in 'selecting a track, watching competing products, understanding the crowd, and promoting new products'", covering four core scenarios:

   1. Industry insight: Explore high-diving tracks and locate market opportunities
      • Market size and growth rate: Display the "market share, year-on-year growth rate (e.g., the growth rate of 'personal care and home clearing category is 724.84%'), and potential index" of 8000+ segment categories in real time to help identify the blue ocean track (e.g.,"2025 The growth rate of the' Active Peptide Lip Protection 'category exceeds 500%");
      • Research on segmented tracks: Disassemble track characteristics from "product attributes (ingredients: enzyme/bosein/collagen), price band (<10 yuan/10-49 yuan/100-300 yuan), and delivery method (live broadcast/video/commodity card)". Example: "Among the whitening and skin care tracks, the price band of 100-300 yuan has the highest live broadcast conversion rate, accounting for 60%";
      • Category trend detection: Capture category "changes in traffic terms (such as the search volume for 'anti-cracking' lip protection terms has tripled) and the shift in consumer focus", and lay out trend products in advance.

2. Competitive analysis: full-dimensional benchmarking and finding differentiated advantages

   • Dismantling of competing strategies: Monitor competing products "product strategies (such as 'adding prebiotic components'), price system (such as' new products are priced at 99 yuan, 30% higher than old products'), and marketing actions (such as 'self-broadcast 5 times a week, mainly promoting the' light lip lines 'selling point')";
   • Multi-dimensional brand diagnosis: Benchmark TOP brands in the industry (such as L'Oréal in the beauty field and Head & Shoulders in the personal care field) and evaluate their own gaps from multiple dimensions of "market share, user repurchase, and public opinion favorable rate". Example: "A certain lip protection brand The favorable rating rate is 87.3%, which is 8% lower than the TOP brand. The 'moisturizing' selling point needs to be optimized";
   • Black Horse Brand Capture: Pay attention to the "High-growth Traffic List" and analyze the "explosion logic" of new brands (such as "a new brand relied on the concept of 'prebiotic lip protection' to occupy 15% market share in 3 months") to avoid being overtaken by competitors.

3. Crowd insight: penetrate consumer demand and accurately match products/marketing

   • Portraits of the entire link: Analyze the target audience's "basic attributes (gender/age/region: for example, 70% of women aged 25-35 years old are in the lip protection category, concentrated in first-tier and second-tier cities), interest distribution (e.g.,'Focus on beauty evaluation, Maternal and infant children'), purchasing behavior (e.g.,' Repurchase once a month, prefer live orders')";
   • Mining consumer pain points: Extract real pain points from "post-purchase evaluations, bullet screen comments". Examples: The top 3 pain points for users in the lip protection category are "anti-cracking (45%), light lip lines (30%), and non-touching cups (25%)", R & D can focus on breaking through the "anti-cracking" function;
   • Matching crowd needs: Link "track trends" with "crowd pain points", for example,"Women aged 25-35 pay attention to 'Bose anti-aging', and can develop anti-aging lip protection products containing Bose."

4. New product promotion: Scientifically verify concepts and reduce listing risks

   • New product concept verification: Combine "market trends (such as 'active peptide components'), crowd needs (such as' light lip strips'), and competitive gaps (such as 'no active peptide lip protection products')" to evaluate the success probability of the new product;
   • Selling point prioritization: Analyze "consumer attention of different selling points (such as 'anti-cracking' attention of 45% and 'whitening' attention of 15%) and coverage of competing products" through AI algorithms to determine core selling points (such as prioritizing push 'anti-cracking + active peptide' combination);
   • Suggestions for listing strategy: Based on the "popular path for similar new products", we recommend "bringing methods (such as 'live broadcast main push + video grass planting') and pricing ranges (such as '129 yuan, cutting into the mid-to-high-end market')". Example: "A certain active peptide new lip protection products were launched as recommended, with sales exceeding 100,000 units in the first month."

(2) Application layer: Implementation of AI-driven functions

Solve the problem of "brand decision-making 'too much data but won't use'"and transform data into executable strategies through AI algorithms:

1. AI core competencies :

   • Aspect emotion analysis: Accurately dissect consumers 'emotional tendencies towards "product ingredients (such as' Boseine-mildness '), price (such as' 129 yuan cost-effective '), and services (such as' logistics speed')"(positive/negative/neutral), avoid general "favorable/negative" judgments;
   • Traffic word recognition and tracking: Automatically capture Douyin's "mall search and marketing hot words"(such as 'light lip lines lip') to help optimize new product titles, write marketing copywriting, and obtain natural traffic;
   • Brand-commodity mixed multiple regression model: Analyze the influence weights of "brand awareness, product selling points, and price" on sales volume (e.g.,"selling points account for 60%, price impact accounts for 30%") to guide the direction of resource investment.

2. Marketing scenario optimization :

   • Optimization of delivery strategy: Dissolve the "conversion efficiency (e.g.'live broadcast conversion rate is 5% and video conversion rate is 2%') and traffic cost" of the three major channels of "live broadcast/video/commodity card", and suggest "focus on live broadcast and supplement it with Video grass";
   • Core selling point detection: Capture popular concept words in the category from the dimensions of "scenes (such as 'anti-chapped in winter'), crowds (such as' Bao Ma Light Lip Prints'), and ingredients (such as 'Active Peptide Anti-Aging')" to seize the right to speak in marketing;
   • Post-purchase evaluation management: Monitor "consumer feedback after new products are launched" in real time and respond quickly to "negative comments (such as 'packaging is easy to leak')"(such as optimizing packaging design) to avoid the spread of public opinion.

(3) Data layer: Support by massive data to ensure decision-making credibility

• Data scale : Reserve 100 PB of Douyin ecological data, covering "90 million + talents, 8 million + videos, 750,000 + live broadcast rooms, 1 billion + products, 400,000 + small stores, 1 million + brands", data dimensions include "sales, public opinion, crowd, marketing actions";
• Data update : Core data (such as category growth rate, competing product sales, and public opinion comments) are updated in real time (at the minute level), and trend data (such as track potential) is updated daily/weekly to ensure that decisions are based on the latest market dynamics;
• Data security : Adopt the "data desensitization + authority grading" mechanism, only provide brand public data and industry aggregation data, and do not disclose the trade secrets of competing products, which complies with the requirements of the Data Security Law.

typical application scenarios

• Brand track selection : A beauty group found through "industry insight" that "the growth rate of active peptide anti-aging lip protection category was 724.84%, and the price of 100-300 yuan was a competitive gap", and decided to enter the track. The market share of new products exceeded 10% within 3 months;
• Benchmarking optimization of competing products : A lip protection brand found through "competitive analysis" that the TOP brand "relies on 'prebiotic components' to improve the repurchase rate", so it added prebiotics to its own products, and the repurchase rate increased from 20% to 35%;
• New product concept verification : A maternal and infant brand discovered through "crowd insight" that "Bao Ma Group's lip protection pain points are 'fragrance-free and anti-chapped'", combined with the "active peptide trend", developed "fragrance-free active peptide lip protection cream", the concept was verified through 飞瓜品策 before launch, and the sales volume in the first month exceeded 50,000 units;
• Marketing delivery optimization : Through "Marketing Scenario Optimization", a certain brand found that "the conversion rate of live broadcast channels is 5%, which is 2.5 times that of video channels", and increased the live delivery budget from 30% to 60%. GMV increased by 80%.

applicable population

Unique advantages (compared with similar brand analysis tools)

1. Deeply bound to Douyin ecosystem : It understands the logic of Douyin's "short and direct dual drive, algorithm recommendation, and consumer public opinion" more than general brand analysis tools, such as "it can capture Douyin's unique 'live track trend with goods''' mall search traffic words'", a brand reported that" the 'active peptide lip protection' track found using 飞瓜品策 was not detected by other tools after 3 months of Douyin ";
2. The data granularity is extremely fine : The only tool that can decompose the full-link data of "category-ingredients-price band-crowd", such as "In the lip protection category,'25-35-year-old women + active peptide +100 - 300 yuan' The growth rate of the sub-track exceeds 500%", helping the brand accurately register;
3. AI has strong decision-making capabilities : Convert data into "actionable strategies" through "multiple regression models and aspect-level sentiment analysis"(such as "recommended new products priced at 129 yuan, and the core selling point of 'anti-cracking + active peptide'"), 80% more effective than the tool that" provides only data ";
4. Full coverage of strategic scenarios : From the full process of "track selection-competing product benchmarking-crowd insight-new product promotion-marketing optimization", there is no need to switch multiple tools, and the efficiency of brand strategic decision-making is increased by 60%;
5. Customized service professional : Provide "exclusive strategic consultants" for leading brands, interpret data based on industry experience (such as "Why 'prebiotic lip protection' can explode"), and avoid "understanding the data but not using it."

precautions

1. Data interpretation needs to be combined with industry experience : Data is a reference for decision-making and needs to be combined with "the brand's own resources (such as whether the supply chain can produce active peptide products) and industry rules (such as compliance requirements for beauty ingredients)" to avoid blindly Follow the trend track (such as "a track with a high growth rate but the supply chain cannot keep up with it, and it is easy to run out of stock after entering the market");
2. Select paid packages on demand : Small and medium-sized brands/merchants can choose the "Market Analysis Edition", medium and large brands need to unlock the "Strategic Decision Edition", and leading brands suggest customized solutions to avoid redundancy or deficiencies in functions;
3. New product verification requires multiple dimensions : New product concept verification needs to be combined with "飞瓜品策 data + offline research", such as "Flying melon data shows that there is a high demand for 'anti-cracking', and offline research found that 'northern users are more concerned about anti-cracking', giving priority to trial sales in the northern market";
4. Public opinion monitoring requires timely response : Negative public opinions (such as "ingredient stimulation") need to be followed up within 24 hours after they are discovered (such as issuing ingredient testing reports and optimizing products) to avoid the spread of public opinions and affecting brand reputation;
5. Data security compliance : Data can only be used for "own brand decisions" and cannot "disclose trade secrets of competing products (such as undisclosed ingredients and formulas of competing products) or forge data to deceive partners." Violation of the service will be terminated and bear legal responsibility.