DIKIDI Appointments Scheduling
Research answer
What AppTrendKit can say about DIKIDI Appointments Scheduling today
DIKIDI Appointments Scheduling 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
- 4.3.8
- Released
- Jan 31, 2021
- Last updated
- Sep 4, 2026
- Content rating
- 4+
- Default storefront
- GR
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
DIKIDI is an appointment scheduler for online booking and business automation! Join more than 125,000 companies that have already trusted our service. Why should you choose DIKIDI right now? Quick Start: DIKIDI is easy to learn thanks to its intuitive interface. Ease of Management: The DIKIDI CRM system allows you to automate schedule for online booking for both professionals and clients, manage your client database, employees, finances, and even inventory – all in one free scheduling app! Easy Booking: Offer free online booking to your clients through: - Direct links - DIKIDI catalog and DIKIDI Online mobile app - Your own website - Branded app - Social networks - Google Maps Complete Control: Reports on sales, finances, and client retention help you make informed decisions. Client Management: - Appointment Journal with scheduling appointments, booking calendar and visit history - Automated notifications via WhatsApp, Telegram, and SMS - Loyalty programs, online tips, and chats with clients Efficient Employee Management: - Unlimited access for users - Salary setup - Flexible schedules for professionals - Staff chats Integrations: Sync with online cash registers, IP telephony, payment systems, AMO CRM, Google Analytics, and many other services to automate your business processes. 24/7 Support: Our customer care team is always ready to assist you in real time. DIKIDI is a reliable and convenient booking app for business automation in the service industry (works as a barber app, for massage booking and others). This client & appointment scheduler is available for free! Manage your business with ease!
Store 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, 9:53 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, 9:53 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology