Research answer
What AppTrendKit can say about TOTVS RH Clock In today
TOTVS RH Clock In 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
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 30D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated downloads · 7D
ModeledNo persisted estimate
The page does not turn missing evidence into zero.
Estimated App Store gross consumer spend · 7D
ModeledNo 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
Country estimates are aggregated only after country-level predictions exist.
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
- 12.1.26070006
- Released
- Nov 5, 2020
- Last updated
- Sep 1, 2026
- Content rating
- 4+
- Default storefront
- PT
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
Clock In - collector of punches using Facial Recognition, QR Code or CPF entry. A growing number of companies are seeking more complete and versatile systems, embracing mobility and cutting-edge technologies, to provide greater security and assertiveness to the attendance control of their employees, whatever their specific needs may be. Clock In has arrived to end their search. With cutting-edge technologies, it offers a set of applications capable of meeting all of your company's attendance control demands, regardless of the department in which it operates. The Clock In app is the TOTVS HR Clock In mobile application, an efficient and secure attendance control tool that provides greater mobility and security to your company's HR management. The app relies on artificial intelligence for facial recognition when the punch is performed. Its interface is extremely simple and friendly, accelerating the attendance control clocking process, regardless of employee level of training. The Clock In app also enables Geofence control through the mapping of addresses and electronic fence validation. The application's development is fully compliant with Brazilian labor laws, particularly with Ordinance 671 of the Labor Ministry, which regulates remote work and clocking collection without using a traditional employee time clock. Thus, the app reduces the cost of expensive equipment infrastructure, facilitating the deployment of the system. The Clock In app is available in tablets and smartphones. Moreover, the application works offline, allowing the employee to clock in even without an Internet connection, later syncing records with the TOTVS HR systems of the RM, Protheus and Datasul lines. Highly scalable, the Clock In app easily meets the needs of business from small companies to large corporations. The application is flexible, allowing punch registration via facial recognition, QR Code or even by typing the CPF. Always with the same efficiency and security. The punch record can be performed by the employee themselves or by a company manager, depending on their needs. Clock In can be contracted by subscription, depending on the number of employees. Main Features: - Clocking through static facial recognition (using a photo); - Clocking through dynamic facial recognition or liveness (identifying eye blinking); - Clocking through reading of QR code; - Clocking by input of CPF (or any other identifier code); - Storage of punches history; - You can use it without an Internet connection (all electronic attendance control methods); - Enables data syncing with the Carol Platform when required; - Full integration with the Carol Platform, allowing data analysis. - Integrated with the main TOTVS HR solutions and with PIMS; - Geofence and Geolocation Control For further information about this product, access our Help Portal through the link https://tdn.totvs.com/display/TCI/TOTVS+RH+Clock+In+by+Carol+Home Contact the TOTVS sales team for more information and to optimize your company's attendance control process. Not yet a customer ? Access https://produtos.totvs.com/aplicativo/app-meu-clock-in/
Publisher websiteStore creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 10:20 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: No persisted model version.
Confidence: —; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:20 PM.
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