飞瓜·快手版

Platform introduction:

Feigua Data Fast Hand Edition is a "data-driven operation hub" built for fast-hand ecosystem practitioners. It solves four types of fast-hand operation pain points: The data cannot be understood : fast-hand background data only displays basic indicators (such as number of views and number of fans), there is no in-depth dimensions such as "traffic sources (natural streams/paid streams) and fan consumption capabilities", and there is no basis for decision-making; The number of fast-moving talents exceeds 10 million, Manual screening of "high conversion, low pit fee" talents is inefficient, and it is easy to step on the trap of "false fans, poor conversion"; Live broadcast control is not good *:"product clicks, GMV trends" cannot be known in real time during live broadcasts. It is difficult to chase in time after an order is exploded, and traffic is seriously wasted; Competitive products can't keep up with : I don't know the "hot content logic, live broadcast skills, and promotion plans" of fast-moving competitive products, and blindly follow the trend leads to inefficient operations.

Its core logic is to "reduce costs and improve efficiency with 'fast-hand ecological deep adaptation + data-based tool chain'": there is no need to explore fast-hand traffic rules, and data disassembly helps you see clearly" where traffic comes from and where the transformation is poor "; There is no need to manually find people and intelligently filter high-quality resources that match" your fan portraits "; There is no need to keep an eye on the live screen, real-time monitoring and early warning help you control the overall situation, allowing fast-hand operations to shift from "experience-driven" to "data-based precise execution", adapting to the needs of all levels from novices to brand companies.

Core functions:

1. Core: Five major functional modules

   (1) Fast-hand account data insight: see traffic and conversion logic clearly

   Solve the problem of "fragmented fast-hand account data and difficult to locate core indicators" and cover all dimensions of account operations:

   1. Disorganization of account core data :
      • Basic data: Display "number of fans, views, likes/comments/retweets" in real time, support viewing trends by "day/week/month", and mark "data anomalies"(such as "a video's playback volume suddenly increased 10 times, mark 'Suspected to be hot'");
      • Depth dimension: Disassemble "traffic sources"(natural stream: recommendation pages/attention pages/search pages; paid stream: fast-hand store promotion/DOU+),"fan portraits"(age/region/gender/consumption power, such as "Women aged 30-40 account for 60%, preferring beauty and skin care"),"conversion data"(fan entry rate, product click rate, repurchase rate);
      • Case: A fast-moving beauty artist found through data that "70% of the traffic comes from searching for 'sensitive muscle skinc'", so he adjusted the content direction. Within one month, the proportion of search traffic increased to 90%, and the speed of increasing the number of fans doubled.

2. Refined analysis of work data :
   • Dismantling of a single video: displaying "completion rate (time-divided data, such as 'completion rate in the first 3 seconds is 45%, and drop to 25% in the first 10 seconds'), peak interactive periods (such as 'comments are concentrated at 5 seconds of the video, corresponding to' How to use sensitive muscle'), conversion of goods (such as 'After the video mentions the product, the number of clicks on the product suddenly increases')";
   • Summary of popular models: Automatically analyze videos with "playing more than 100,000" in the account, extract common characteristics (such as "greeting with 'old iron men' at the beginning, inserting product measurement in the middle, and guiding 'click on the little yellow car' at the end"), assisting in subsequent content creation.

(2) Intelligent mining for fast hands: accurately matching high-value resources

Solve the problem of "difficult screening for fast-handed talents and high cost of trial and error in cooperation", relying on the 2 million + fast-handed talents library:

1. Multi-dimensional screening system :

   • Basic screening: Quickly narrow down the scope according to "number of fans (10,000 - 100,000/100,000 - 1 million/1 million +), category of goods (beauty/food/home), and live broadcast frequency (daily broadcast/weekly broadcast)";
   • Core screening: Filter according to "fast-hand characteristic indicators", such as "repurchase rate (reflecting fan trust, preferably people with repurchase rate>20%), fan overlap rate (<30% overlap with your account fans, avoid traffic Waste), pit fee cost-effectiveness (GMV/pit fee ratio, preferably people with ratio>5)";
   • Case: A fast-handed food merchant screened people with "100,000 - 500,000 fans, repurchase rate>25%, and food categories." After cooperation, the GMV of a single live broadcast reached 800,000, the pit fee was only 3000 yuan, and the ROI exceeded 260.

2. Risk and potential assessment of talent :

   • Risk labeling: Prompt people to "recent abnormal fan growth (suspected of buying fans), high return rate (>15%), and record of violations (such as 'false propaganda' penalties)" to reduce cooperation risks;
   • Mining potential talents: Recommend potential talents with "fast fan growth (more than 10,000 fans per week), high interaction rate (>8%), and not yet cooperated with a large number of brands" to seize low-cost cooperation opportunities.

(3) Real-time monitoring of fast-hand live broadcasts: control the full process of live broadcasts

Solve the problem of "fast-hand live broadcasts are 'blind broadcast' and conversion is difficult to control", covering the entire pre-to-post-live broadcast cycle:

1. Real-time monitoring during live broadcast :

   • Core data signage: Display "number of visitors, average stay time, GMV, product clicks, order conversion rate" in real time, and support "single product data tracking"(such as "a snack product has 10,000 clicks, 500 orders, conversion rate 5%");
   • Breaking orders and warnings: When "GMV breaks through a preset threshold (such as 1 million)", push a warning for exploding orders, and when "the conversion rate is lower than the industry average (such as 3%)", push a warning to assist in timely adjustment of strategies (such as "increasing welfare words) Guide placing orders");
   • Speech skills and interactive analysis: Extract live speech skills in real time (such as "'Old Iron Men, buy 2 get 1 free 'today 5 times, corresponding to the peak of orders "), and analyze" comment hot words (such as' are there any discounts 'and' how long is the shelf life ')"to help optimize live speech skills.

2. Post-live playback analysis :

   • Full-process data report: Automatically generate a "live broadcast review report", including "the proportion of traffic sources, conversion data at each time period, performance of Top3 products, and new fan additions";
   • Comparison of live broadcasts of competing products: Compare "live broadcast data of celebrities in the same category"(such as "the average stay time for your live broadcast is 2 minutes, and the average stay time for competing products is 3 minutes"), identify gaps and optimize them (such as "adding interactive Q & A sessions to extend stay").

(4) Dismantling of fast-hand competitive products strategies: benchmarking and high-quality gameplay

Solve the problem of "opaque and blind follow-up operating strategies for fast-handed competitive products" and focus on the core actions of competitive products:

1. Competitive account analysis :

   • Content strategy: Check the competing products "themes, release frequency, and cover title style of recent popular videos", such as "a competing product can follow up on similar themes by playing 500,000 videos in a single video";
   • Live broadcast strategy: Analyze competing products "live broadcast time (e.g.,'Start at 8 o'clock every night, with the highest view'), promotion plans (e.g.,' minus 20 for all 100 orders, half price for the top 100 orders '), and cooperation list of talents (e.g.,' Long-term cooperation 3 100,000 fans ')";
   • Product strategy: Check the competing products "Top 10 hot-selling products, pricing range (e.g.,'main product is priced at 39-99 yuan, which is in line with the consumption power of fast-handed users'), and frequency of new products (e.g.,' new products are launched every Wednesday to drive repurchases ')".

2. Industry trend insights :

   • Category traffic trends: Display the traffic changes in various categories of fast hand by "week/month"(such as "Summer 'Cooling Home Appliances' category traffic increased by 60%") to help layout popular categories in advance;
   • Tracking popular gameplay: Capture fast-hand's recent "popular operation gameplay"(such as "'Old Railway and Wheat Testing 'and' Factory Direct Supply Traceability Live Broadcast '), and provide suggestions on how to disassemble and implement the gameplay.

(5) Quick-hand content creative assistance: empowering the creation of popular materials

Solve the problem of "fast-hand content creativity exhausted and low completion rate", and adapt to fast-hand content style of "down-to-earth and strong interaction":

1. Quick hand hit material library :

   • Collect video clips with "Fast Hand recently played more than 100,000", classified according to "category (beauty/food/home furnishing), content type (actual measurement/plot/welfare)", and mark "hot features"(such as "At the beginning, use 'old iron, I stepped on a pit today' arouses curiosity, inserts product comparison in the middle, and guides 'comment area to receive benefits' at the end");
   • Suggestion for material reuse: Provide "adaptation directions" for downloaded material fragments (such as "Change the 'food measurement' material to 'family dinner scene measurement' to more quickly suit family users").

2. Quick Hand Exclusive Copywriting Template :

   • Copywriting templates that fit the fast-hand "old iron culture", such as:
     • Opening words: "Old men! Today, I found a good thing for everyone, and I said it would be good to use sensitive muscles ";
     • Conversation: "This product has an exclusive price in the live broadcast room today. A sample of 39 yuan is also given. Click on the small yellow car to shoot directly";
     • Interactive speaking skills: "Lao Tie who has been used will talk about his feelings in the comment area, deduct 1 for those who have not been used, and I will explain it in detail again";
   • Combination of hot topics: Automatically associate fast hands with "hot topic tags"(such as "#Fast Hands 618 Good Things Section #Sensitive Skin Care Guide") to increase content exposure.

typical application scenarios

• Fast-handed people increase their fans : A novice beauty artist found through "Account Data Insight" that "fans mainly come from searching for 'Sensitive Skin Foundation Liquid'", so he created a series of videos of "Sensitive Skin Liquid Foundation Measurement", paired with the exclusive copywriting template, which increased by 50,000 fans within one month, and the number of views increased from an average of 5000+ to 30,000 +;
• E-commerce merchant live broadcast conversion : A fast-hand food merchant used the "live broadcast real-time monitoring" function and found that "the GMV growth was slow during 30 minutes of live broadcast", and immediately adjusted its conversation techniques (increased the "half price for the first 50 orders" benefit), and the subsequent 1 Hour GMV increased from 200,000 to 800,000, and the conversion rate increased by three times;
• Benchmarking of brand competing products : A fast-hand home furnishing brand found that competing products relied on "'Factory Traceability Live Broadcast '+' 99 yuan 3 pieces 'promotion "through the" Competitive Product Strategy Disorganization ", so it followed up with similar live broadcasts. Within a week, the store's GMV exceeded 5 million, an increase of 150% from before;
• MCN Talent Management : A fast-hand MCN used "Talent Intelligent Mining" to screen food talents with "100,000 - 500,000 fans and a repurchase rate of>25%", and initiated cooperation in batches. The monthly GMV of its accounts increased from 3 million to 8 million, and the efficiency of cooperation among talents has increased by 4 times.

applicable population

• Fast hands : Full-time/part-time talents in beauty, food, and home furnishing need to use data to optimize content and improve fan growth and conversion efficiency;
• Fast hand e-commerce merchants : Fast hand store owners and individual e-commerce companies need to analyze competing products, monitor live broadcasts, and increase product sales;
• MCN organization : The exclusive MCN for fast hands requires batch mining and management cooperation to improve the account matrix GMV;
• Brand enterprises : Brands (such as beauty and FMCG brands) that deploy fast-moving ecosystems need to formulate operational strategies, connect talent resources, and monitor brand reputation;
• Newcomer to fast-hand operations : Practitioners who have just joined the game need to understand industry trends, learn high-quality gameplay, and start operations quickly.

Unique advantages (compared with similar fast-hand tools)

1. Deep adaptation of fast-hand ecosystem : Better understand the characteristics of fast-hand "old iron economy and private domain transformation" than general data analysis tools, such as "repurchase rate, fan overlap degree" and other fast-hand exclusive indicators. A certain merchant feedback that "using flying melons can find people with 'high fan trust', other tools only watch GMV, and the return rate after cooperation is high";
2. * Data accuracy and real-time : Relying on Feigua's 6-year accumulation of Short Video data, the fast hand data capture frequency reaches "10 seconds/time", and the live broadcast data delay is <1 minute, 30% faster than similar tools. It is more timely to pursue explosive orders;
3. High functional integration : The only fast-hand tool covering "account data-talent mining-live broadcast monitoring-competitive product analysis-content creativity", without needing to switch 5-6 platforms, operating efficiency is increased by 60%;
4. Quick hand resource docking : The enterprise version provides "fast hand supply chain resources (such as food factories, beauty foundries)" and "fast hand official event registration channels", which has one more layer of implementation support than pure data tools. A certain brand passes the supply chain docking, shortening the new product development cycle by 2 months;
5. Novice-friendly design : Provides "Quick Hand Operation Tutorial","Industry Case Library" and "1-on-1 Novice Guidance". Novices can master core functions within 1 week, which is 50% lower than the "pure data Kanban" tool.

precautions

1. Data interpretation needs to be combined with fast-hand characteristics : fast-hand "accounts for a high proportion of private domain traffic", so we need to focus on "repurchase rate and fan interaction rate", rather than just looking at the "number of fans" to avoid misjudging the value of talents (For example,"the repurchase rate of 100,000 fans is 25%, which is better than that of 500,000 fans with a repurchase rate of 5%");
2. Choose paid packages on demand : Newbies try the free version first, and then upgrade after clarifying their needs (for example, if you only want to increase popularity for content, you can choose the "Personal Talent Edition", instead of buying the "Corporate Brand Edition");
3. Use fast hand data in compliance : Data is only used for your own operating decisions. You cannot "maliciously grab the private data of competing products (such as details of talent pit fees) or forge data to deceive brands." Violation will be punished by fast hand officials;
4. Live monitoring requires manual cooperation : Tools can warn of data abnormalities, but the reason needs to be manually analyzed (such as "Is the low conversion rate a speech problem or a product problem") to avoid over-reliance on tools;
5. Content creativity needs to be localized : Fast-handed content needs to be "down-to-earth and highly interactive" to avoid directly applying the Douyin/Xiaohongshu style. Please refer to the "Old Iron Talks" of Feigua's "Quick Hand Hot Material Library" and other special elements.