驾考宝典-2026驾校学车考驾照
Research answer
What AppTrendKit can say about 驾考宝典-2026驾校学车考驾照 today
驾考宝典-2026驾校学车考驾照 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 (7D). 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 · 7D
UnavailableNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
UnavailableNo persisted estimate
The page does not turn missing evidence into zero.
Evidence history
Collected daily performance
No daily metric history has been persisted yet.
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 · 7D
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.
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
- 8.99.3
- Released
- Jan 21, 2012
- Last updated
- Aug 24, 2026
- Content rating
- 17+
- Default storefront
- DE
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
驾考宝典实时同步更新2026年驾考科目一、科目四考试题库,通过历年大数据深度分析,精选全国优质驾校供学员学车选择,用科学有效的方法助力学员高效备考驾照资格考试! 完整学车流程,为学员提供从报名到领驾照的一站式驾考服务,同时提供了科目二科目三在线模拟练车新的实操学习方式。深受驾校、教练、司机、学员喜爱的驾驶员模拟考试练习软件! 【2026驾考新题库】 1.题库新:根据新的驾考考试大纲,涵盖小车、客车、货车、摩托车、资格证题库,各地区题库实时更新; 2.仿真模拟考:按照当前科目考试大纲要求,仿真模拟考试,提前模拟考场环境,攻克考试重难点; 3.考点视频解析:高频考点+高频易错,以题带点,视频解析更轻松; 4.VIP精简题库:根据考点精选重点题目,攻克考点难点,高效备考省时省力的考驾照宝典; 【驾考直播课】 1.直播解读2026考试知识点,摆脱枯燥学习模式,高效备考更轻松; 2.讲师带学,从入门到通过考试,讲解细致的驾驶宝典; 【科二科三3D模拟】 1.科二科三考试项目,视频讲解流程教学,扣分点细致讲解的驾车宝典; 2.驾驶证考试新的练车模式,模拟真实考试场景,手机看点位,随时随地练车; 【精选驾校】 精选全国优质驾校,距离近,口碑好,优惠多多的驾校宝典; 【学员交流】 学车过程中可以吐槽、晒照、聊天,交流学车技巧和心得; 【联系我们】 在线客服:APP内 - 我的- 帮助与反馈 - 客服 意见反馈:APP内 - 我的- 帮助与反馈 - 提交意见反馈 官方网站:https://www.jiakaobaodian.com 微信公众号:驾考宝典 【自动续费服务说明】 1. 订阅服务:小车科一/科二/科三/科四/科一科四组合/科二科三组合/科三科四组合/全科VIP连续订阅。 2. 订阅周期:1个月。 3. 订阅价格:以iAP申请信息为准,例如:小车科一VIP连续包月为38元,小车全科VIP连续包月为50元。 4. 付款:用户确认购买并付款后记入iTunes账户。 5. 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,手动在iTunes/Apple ID设置管理中关闭自动续订功能。 6. 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。 7. 隐私政策:https://laofuzi.kakamobi.com/protocol/protocol.html?protocolKey=jkbdPrivateAgreement 8. 用户协议:https://laofuzi.kakamobi.com/protocol/protocol.html?protocolKey=jkbdUserAgreement 9. 会员服务协议(含自动续订条款):https://laofuzi.kakamobi.com/protocol/protocol.html?protocolKey=jkbdVIP
Publisher websiteStore 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, 11:07 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: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 11:07 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology




