KK-直播交友娱乐平台
Research answer
What AppTrendKit can say about KK-直播交友娱乐平台 today
KK-直播交友娱乐平台 has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance intelligence
Observed trajectory and estimates
Showing the strongest available persisted window (30D). Store ranks are observations. App-wide 30D estimates use the same coverage-aware run-rate basis as Explore when available; the underlying partial-period modeled total remains visible below each projection.
Estimated downloads · 30D
ProjectedToo little evidence
Not enough observed days to publish a range yet
Estimated App Store gross consumer spend · 30D
ProjectedToo little evidence
Not enough observed days to publish a range yet
Evidence history
Collected daily performance
1 observed day · missing days are left blank
Rank history
Observed chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodStorefront mix
Top countries by estimated contribution · 30D
Country rows show modeled totals for their observed portion of the selected period; they are not directly additive to an app-wide projected run rate. The latest evidence timestamp is shown per storefront.
- Revenue range · 30D
- $391–$2.8K
- Observed share
- 100.0%
- Downloads range · 30D
- 375–3K
- Rank
- —
- Coverage
- 3% · partial
- Confidence
- Low
| Storefront | Revenue range · 30D | Share | Downloads range · 30D | Rank | Coverage | Confidence | Updated |
|---|---|---|---|---|---|---|---|
| United KingdomGB | $391–$2.8K | 100.0% | 375–3K | — | 3% · partial | Low | Sep 7, 2026 |
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 7.8.01
- Released
- Dec 10, 2012
- Last updated
- Sep 2, 2026
- Content rating
- 17+
- Default storefront
- CN
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
KK直播，汇聚高颜值同城主播的视频直播聊天软件，火爆的直播互动交友平台。随时随地，24小时直播间精彩不断，与附近主播零距离接触！ 颜值主播、才艺直播、嗨歌直播、户外直播、派对交友、多人连麦、情感陪伴、游戏陪玩、趣味PK、惊喜福利社……更多好看好玩的直播内容，尽在KK直播！直播互动、视频交友、语音聊天，现在下载，即刻互动！ 好看/好听/好聊/好玩 的直播内容： 【直播互动】海量主播，颜艺双绝。气氛嗨、人气足，24小时全天有颜有料！ 【交友派对】汇聚优质同好，以兴趣相识，畅享轻松自在的交流氛围。 【甜蜜声优】元气暖音，温软少御。累了困了来这里，情感聊愈、声优尽享。 【花样活动】玩法丰富，创意无限，新奇又好玩！边玩边互动，从此不孤单。 【酷炫礼物】定制场景、特效华丽，牌面足！心动表白，快来试一下。 打开KK直播，发现一个全新的世界！更多精彩玩法，等你来翻牌！ 您的建议是我们学习进步的动力！ 欢迎来信：contact@mlculture.cn 【1个月真爱特权自动续费订阅说明】 --服务名称：1个月真爱特权连续包月 --真爱特权权益：身份标识【真爱勋章】 --订阅周期：1个月 --订阅价格：1元/月 --付款：用户确认购买并付款后记入iTunes账户。 --续订：苹果iTunes账户会在到期前24小时内扣费，扣费成功后订阅周期顺延一个订阅周期。 --取消续订：如需取消续订，请在当前订阅周期到期前24小时以前，手动打开iOS的“设置”-->进入“iTunes Store与App Store” -->点击“Apple ID”选择“查看Apple ID”，进入“账户设置”页面，点击“订阅”，选择真爱特权取消订阅即可。如未在订阅期结束前的至少24小时前关闭订阅，此订阅将会自动续订。 KK软件（网站）用户服务协议 https://m.kktv1.com/question?noticeId=485 隐私保护政策 https://m.kktv1.com/question?noticeId=519 连续包月服务协议 https://m.kktv1.com/question?noticeId=488
Store creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 11:35 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: public-signal-ensemble-v2.
Confidence: Low; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 11:47 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology