Live Streaming

• Exposure Number – The number of people on TikTok who are pushed and brush to the live streaming room, used to determine the quality of your live streaming traffic on TikTok.
• Exposure Times – If the audience brushes to the live streaming room but stays for more than 5 seconds without entering, TikTok guesses they are interested and pushes again. It is used to determine the proportion of users who are interested in each live streaming.
• Entry Number – Literally.
• Entry Times – Literally, used to determine whether the live streaming content is attractive.
• Exposure-to-Entry Rate – Entry number divided by exposure number, used to determine whether the person, goods and the scene match, the state of the anchor, the live streaming scene and whether there are problems or changes in the words.
• New Follow – Literally, used to determine whether the anchor has guided and is attractive to users.
• New Heart Me – Literally, used to determine the degree of like.
• New Subscription – Literally, used to determine the degree of like.
• Stay Time – Used to determine whether the live streaming content is precise, whether there are reserved interest points for continuous viewing and the stickiness of fans.
• Audience Number per Hour – Entry number divided by the live streaming start time, used to determine the number of entries per hour.
• New Supporters – Obtain the grade, location, age and the amount of gifts sent by supporters.
• Supporters’ Rewards – Why and when the gifts are sent.
• Fan Growth Time Point – View the peak and valley values of fan growth through the curve graph and compare with the live streaming recording to analyze what was done at the peak and valley values.
• Interaction Time Point – View the peak and valley values of interaction through the curve graph and compare with the live streaming recording to analyze what was done at the peak and valley values.
• Reward Time Point – View the peak and valley values of rewards through the curve graph and compare with the live streaming recording to analyze what was done at the peak and valley values.
• Traffic Portrait – Natural traffic, follow, short video, search, same city, and proportion of the homepage.
• Crowd Portrait – Age portrait, gender portrait, and hobby portrait.
• Title – Screen the crowd and increase the exposure entry rate.
• Fan Proportion – The proportion of fans among the live streaming audience in this live streaming.
• Fan Stay – The time that fans stay in the live streaming room.

Short Video

• 5-Second Completion Rate – The proportion of people who watch the first 5 seconds of the video completely.
• Overall Completion Rate – The proportion of people who watch the video completely.
• Like Rate – The number of likes divided by the number of viewers.
• Like Node – Literally. The like nodes basically appear at the visually impactful nodes in the video.
• Comment, Forward and Collection Rate – All added together and divided by the playback volume, used to determine the verticality and stickiness of the account (Verticality: Whether the videos released by the account are of the same type).
• Copywriting – Guide the audience to interact, ride the heat and traffic.

Review Data Fluctuation Feedback Phenomenon

• Hourly Exposure Number: The increase or decrease can determine the traffic popularity stage of the anchor. A multiple increase or decrease indicates that the anchor enters a larger or smaller stage. Once there is a multiple increase or decrease, all the variables of this live streaming must be carefully reviewed. According to the traffic popularity curve graph, interaction curve graph and follow curve graph, subjectively judge whether the quantitative change is reasonable and adopt or abandon it.
• Exposure-to-Entry Rate: It will decrease when breaking the traffic popularity stage, which is a normal phenomenon. Because after one stage of the traffic popularity is broken through, the visibility of your account will be wider. TikTok needs time to capture the next traffic popularity audience label to push more accurately. If one of the stages of the traffic popularity is not broken through, the fluctuation of the exposure-to-entry rate will not exceed 5%. If it exceeds this value, focus on checking the scene, light, makeup and costume, and the live streaming state of the anchor. If there is no big change in the live streaming scene and light, and the clothing style has no big change, it must be that your live streaming state has changed significantly. Adjust it according to the increase or decrease, and show the actual impact through the data.
• New Follow: When the traffic popularity does not change, the fluctuation ratio is about 15%. If it is higher or lower than this ratio, the follow curve graph needs to be retrieved to analyze your behavior at the peak and valley values.
• New Heart Me Team: When the traffic popularity does not change, this data basically depends on the number of times you guide the audience and your personal charm. You should record the current number of Heart Me at the end of each live streaming and adjust the number of times of guiding in each live streaming of the anchor. This data needs to be your focus. Guide the audience to send Heart Me for you at the right time.
• Stay Time: It determines whether the anchor’s attractiveness generates curiosity and the stickiness of fans for users. 36 seconds is the passing line for entertainment live streaming. If it is lower than this data, it is likely to fall back to the previous traffic pool at any time. This data needs to be focused on. The part exceeding 36 seconds determines the proportion of fans and the stickiness of fans in the live streaming. The passing line for low-view wheelchair anchors is 1 minute. If it is lower than this data, it can basically be judged that the anchor cannot make money.
• New Audience Portrait: The proportion of live streaming recommendation should exceed 50%. If it is lower than this value, a specific analysis is needed. When the proportion of users following you exceeds 20%, the original live streaming time needs to be avoided. Notify the old audience not to come as much as possible and make a new live streaming time to obtain new audiences. If the proportion of video recommendation exceeds 20%, it indicates that you are very likely to break through and enter the next traffic popularity stage. The proportion of video recommendation is always the more the better.
• If the 5-second completion rate exceeds 50% and the like rate exceeds 10%, you should learn the shooting method of this video when publishing videos in the future.

Short Video Review Content

• Whether your video actions and transitions are in line with the music rhythm.
• Whether your expression has an atmosphere and can the image quality be optimized.
• Whether your clothing is in line with the overall style.
• Whether the emotion or artistic conception expressed by this video can be perceived by you and the audience and whether you can immerse in the atmosphere. If it is a touching video released, then did someone say in the comment area that they cried or were very moved? Whether all the expressed emotions obtained interaction in the comment area.
• Did you create an interest point in the first 5 seconds to let the audience know what is going to happen next but not exactly what is going to happen, or have no idea at all what is going to happen next.

Six Index Assessment Data of Live Streaming Room

This data is for the data at the end of the entire live streaming room.

• TapTap Rate – Passing: 5000 TapTap. Excellent: 10000 TapTap/hour. For small live streaming rooms of about 50 people, double it for 100 people. Calculate according to this proportion. The number of people increases and the like proportion can decrease (about 30%) per second.
• Interaction Rate – 5% is passing and 10% is excellent. Algorithm: The number of people commenting on the public screen / the total number of viewers.
• Forward Rate – Other data. 5% is passing and 10% or more is excellent.
• Fellow Rate – If the total number of audience is less than 1000, 1% is passing and 5% is excellent. If the total number of audience is more than 1000, 2% is passing and 5-10% is excellent.
• Gift Giving Rate – 5% is passing and 10% is excellent. Algorithm: The number of people sending gifts / the total number of viewers.
• Stay Rate – Normal stay time in your live streaming. 3 minutes is passing, 5 minutes is excellent and 7 minutes is very excellent.