蝉妈妈

Platform introduction:

蝉妈妈It is a "data-driven operation hub" built for the domestic e-commerce ecosystem. It solves five types of e-commerce operation pain points: Data fragmentation : Douyin, Xiaohongshu, and video number data are scattered in the background of each platform, requiring manual summary, data collation on a single platform takes more than 2 hours/day;** It is difficult to benchmark competing products *: It is impossible to accurately obtain the "traffic source (natural flow/delivery), promotion strategy, and talent cooperation list" of competing products, blindly following the trend leads to operational inefficiency; It is difficult to screen talents : Finding talents manually is inefficient and difficult to match high-quality resources with "high conversion and low pit fee", and the effect after cooperation is difficult to track; Content creativity is weak : Lack of popular material logic, The completion rate of Short Video is lower than the industry average (<30%), and the grass planting effect is poor; Operation landing fault **: From data insight to actual execution (such as talent cooperation and content release), multiple tools need to be switched, and the process is fragmented.

Its core logic is to "reconstruct the e-commerce operation link with a 'data base + tool matrix'": there is no need to manually integrate data, and the data on the entire platform is summarized with one click; there is no need to blindly benchmark competing products, and in-depth analysis functions disaggregate competing product strategies; There is no need to switch multiple tools, and its tools cover the entire process of" data-talent-content-execution ", allowing e-commerce operations to shift from" experience-driven "to" data-based and integrated ", adapting to all levels of needs from small and medium-sized merchants to leading brands.

Core functions:

1. Core: Four major functional modules

   (1) E-commerce data center: Full platform data insight to support decision-making

   Solve the problem of "opaque data and unfounded decisions" and cover core e-commerce data scenarios:

   1. Multi-platform data integration :
      • Douyin E-commerce: Display the account GMV, traffic source (Natural Stream/DOU+/Qianchuan), and product conversion rate in real time, and support "single product traffic disassembly"(such as "30% of the traffic on a certain lipstick comes from searching for 'white lipstick'");
      • Xiaohongshu E-commerce: Analyze the effect of planting grass in notes (such as "10,000 + likes on a skin care note, driving a 200% increase in product searches"), portraits of talented fans (age/region/consumption preference);
      • Video number e-commerce: Track video number live broadcast data (on-site viewing, interaction rate, store conversion rate) and compare the differences in cross-platform effects of Douyin/Xiaohongshu;
   2. In-depth analysis of competing products :
      • Competitive product account monitoring: Enter the competing product's Douyin/Xiaohongshu account to check its "Recent Hot Products, Promotional Activities Effects, and Talent Cooperation List". Example: Monitor "Nongfu Spring" and find that it relies on "Mengwa Interaction + Product Scene-based" video GMV exceeded 8 million in a single month;
      • Industry trend insight: Generate "Monthly Hot Products List, Hot Topic List, Traffic Trend Chart" by category (beauty/food/home furnishing) to help users predict industry trends (such as "Summer 'Cooling Snacks' category traffic increases by 50%");
   3. Data visualization and early warning :
      • Custom data kanban: Support the addition of "core KPI (GMV/conversion rate/number of fans increased)" to display data fluctuations in real time, such as "automatic red warning when the product conversion rate is lower than 5%";
      • Data export and reporting: Support export of data in Excel/PPT format, automatically generate "monthly operation reports", reducing manual collation time.

(2) Talent cooperation ecosystem: full-link management from screening to review

Integrate the core functions of its "Cicada Circle ERP" to solve the problem of "difficulty in screening talents and chaotic cooperation processes":

1. Intelligent Talent Library :
   • Including 2.53 million + e-commerce celebrities, filtered according to the multi-dimensional "GMV, fan portraits, goods categories, and pit fees", and supported the "cost-effective ranking of celebrities"(such as "a certain beauty celebrity GMV 2.9 million, and the pit fee is only 5000 yuan");
   • Talent labeling system: mark talents with "advantages in bringing goods (such as 'good at scene planting grass' and 'high live conversion'), cooperation risks (such as 'low fan overlap' and 'high return rate')" to reduce the cost of cooperation trial and error;
2. Cooperation process control :
   • Launch cooperation online: Send cooperation invitations to people, and simultaneously follow up the progress of "sample delivery, script delivery, and live broadcast scheduling" to avoid missing key nodes (such as "automatically reminding people to submit scripts after sample signing");
   • Live broadcast real-time monitoring: When people live, check "product clicks, GMV trends, and interaction rates" in real time, and support "explosive reminders"(such as pushing notifications when a single GMV exceeds 1 million);
3. Cooperation effect is resumed :
   • Talent Performance Ranking: Evaluate the performance performance of talents according to "GMV, CPE (single interaction cost), and repurchase rate", and screen long-term cooperation resources;
   • Analysis of single product delivery: Display the "conversion differences between different talents bringing the same product" and optimize the matching strategy for talents (for example,"The conversion rate of a certain lipstick brought by a 'beauty showman' is higher than that of a 'pan-entertainment showman'). 3 times higher").

(3) Content creative tools: Empowering the creation of explosive material for Short Video

Integrate its core functions of "蝉妈妈·Creativity" to solve the problem of "exhausted content creativity and low completion rate":

1. Hot material library :
   • Include "Douyin/Xiaohongshu hit Short Video clips and grass planting note templates", classified according to "industry, popularity, completion rate", and support downloading of "high-click frames"(such as "A cake video 'Yugui Dog Close-up' frame likes account for 40%");
   • Material feature annotation: Each material is labeled with "key points of explosion volume"(such as "use cute pet elements at the beginning" and "lines resonate") to help users copy the explosion logic;
2. Golden 3-second template :
   • Design "streaming line templates" for different categories, such as the beauty category "Help! Yellow skin painted directly white two degrees ", food category" Who knows! This potato chip is full of ingredients in one bite."After application, the completion rate increases by an average of 25%-40%;
3. AI-assisted creation :
   • AI script generation: Enter product keywords (such as "Sensitive Skin Foundation Liquid") to automatically generate a "grass planting script"(including beginning, selling point dismantling, and interactive guidance);
   • AI digital person: Support the generation of "virtual anchors" for Short Video shooting, without the need for real people to appear on the scene and reduce creation costs (for example,"3C products use AI digital humans to explain parameters, and the cost of a single video is reduced from 500 yuan to 80 yuan").

(4) Enterprise-level value-added services: customized solutions

Provide exclusive support for the in-depth needs of brands and large MCNs:

1. Privatization deployment : Deploy the 蝉妈妈 data system to the corporate intranet to ensure the security of sensitive data (such as brand sales data and talent cooperation prices) and adapt to high-compliance industries such as finance and luxury goods;
2. Full-link data docking : Connect with brand CRM and ERP systems to realize the linkage of "e-commerce data-user data-supply chain data", such as "adjusting inventory according to e-commerce sales forecasts to avoid shortages/backlogs";
3. Dedicated data consultant : Equip enterprises with 1V1 data consultants to provide "industry strategy interpretation, data anomaly diagnosis, and operation plan optimization" services, such as "helping brands analyze the reasons for the low ROI-based '618 promotion activities (inaccurate delivery traffic) and give adjustment suggestions";
4. Supply chain docking : Match high-quality supply chain resources for brands (such as food processing factories, beauty foundries), solve the problem of "difficult new product development and insufficient production capacity", and form a "data insight-product development-e-commerce sales" closed loop.

typical application scenarios

• Brand e-commerce competitor benchmarking : A domestic beauty brand wanted to optimize the "618 promotion strategy" and monitored the "perfect diary" of competing products through the 蝉妈妈 data center. It found that it relied on "Daren Live Broadcast + Qianchuan Launch" to drive GMV growth by 300%, so it adjusted its own release ratio (Qianchuan's budget increased by 50%). In the end, the 618 GMV exceeded 20 million, an increase of 180% from last year;
• Cooperation with small and medium-sized businesses and talents : A snack shop wants to promote "Internet celebrity chips" and uses the talent database to screen food celebrities with "GMV 500,000 - 1 million, pit fee less than 3000 yuan". After cooperation, a single video led to a sales increase of 500+ units, with a ROI of 1:5, which is three times higher than the previous "blindly looking for pan-star talents"(ROI1:1.2);
• MCN agency account operation : A beauty MCN manages 20 celebrity accounts. Through the 蝉妈妈APP, it monitors the account data in real time and finds that "the recent completion rate of a certain celebrity has dropped to 20%." Using 蝉妈妈·Creative template optimization of the opening lines (changed from "Recommend a lipstick today" to "must-see yellow skin! This lipstick turns white twice "), the completion rate has rebounded to 45%, and the fan growth rate has increased by 80%;
• Adjustment of supply chains of large enterprises : A beverage brand found through 蝉妈妈 data that "the search volume of 'low-sugar drinks' in summer increased by 80%", and immediately cooperated with the supply chain connected by the platform to develop "low-sugar bubble water". Within one month, e-commerce sales exceeded 5 million bottles, accurately capturing market demand.

applicable population

• E-commerce brand side : Brands such as beauty, food, and home furnishing (such as Nongfu Spring and Nortland) need to benchmark competing products through data, optimize cooperation among people, adjust supply chains, and improve e-commerce GMV;
• Short Video celebrities/anchors : Douyin and Xiaohongshu e-commerce celebrities need to analyze account data (traffic sources, fan portraits), find inspiration for popular materials, connect with brand cooperation, and improve monetization efficiency;
• MCN organization : Organizations that manage multi-person accounts need to monitor account data in batches, match brand cooperation, optimize content creativity, and reduce operating costs;
• Small and medium-sized e-commerce merchants : Douyin Store and Xiaohongshu Store merchants need to find talents at low cost, analyze product conversions, and follow up on industry trends to achieve cold start and growth;
• E-commerce Entrepreneurs : Newcomers to e-commerce need to understand the industry's trends, learn competing strategies, and use lightweight tools to reduce trial and error costs.

Unique advantages (compared with similar e-commerce data platforms)

1. Leading the way in data coverage and depth : Covering more video number e-commerce data than similar platforms, and Douyin/Xiaohongshu data is disassembled in more detail (such as "single product search traffic keywords" and "talent fan consumption power"), a brand feedback that "using 蝉妈妈, you can see the competing product 'Qianchuan Release ROI', but not on other platforms";
2. Highly integrated tool matrix : The only platform that integrates "data + talent + content + supply chain", without the need to switch multiple tools (such as "looking at data" to "finding talent" to "making material") Completed in 蝉妈妈), operational efficiency increased by 60%;
3. Rich industry experience and cases : Serving 13000+ brands, accumulating industry-specific data models such as "beauty, food, maternal and infant"(such as "beauty category talent ROI compliance line 1:3"), better than general platforms Understand vertical industry needs;
4. Multi-end collaboration and data security : Real-time synchronization of full-end data, supporting privatization deployment, and meeting the needs of large enterprises for "data security + fragmented operation". A luxury brand reported that "after privatization deployment, the risk of sensitive data leakage is reduced to 0";
5. Strong implementation : Not only does it provide data, but it also supports "talent cooperation tools, content templates, and supply chain resources" to help users go from "understanding data" to "implementing it on the ground" to avoid "data uselessness". A small and medium-sized merchants reported that "using 蝉妈妈 not only saw trends, but also found talent to sell 500 orders, but other platforms only gave data and had no way."

precautions

1. Data timeliness : E-commerce data changes in real time (such as hot topics, product rankings). It is recommended to check core data every day to avoid relying on "outdated data" to formulate strategies (such as "Last week's popular 'retro style wear' This week Traffic dropped by 30%");
2. Paid package selection : Newbies will give priority to try the free version, and upgrade after clarifying their needs (for example, you only need to unlock the video number data function if you only do small red books and grass planting) to avoid functional redundancy;
3. Data compliance use : Platform data is only used for internal operational decisions of the enterprise and cannot be used for "malicious competition (such as disclosure of trade secrets of competing products) or false publicity". Violation will result in termination of services;
4. Tool learning costs : Core functions (such as in-depth competitive product analysis, cicada circle ERP) need to be simple to learn. It is recommended to watch the platform's "novice tutorial" or consult customer service to avoid wasting functions due to unskilled operation;
5. Rationalization of effect attribution : The data is only for operational reference, and the final effect is influenced by multiple factors such as "product quality, service experience, and market environment". Avoid over-reliance on data (such as "Data shows that 'low-sugar drinks' are popular, but the product tastes poor and still difficult to sell").