Kivra
Research answer
What AppTrendKit can say about Kivra today
Kivra 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
PartialToo little evidence
Not enough observed days to publish a range yet
Estimated App Store gross consumer spend · 7D
PartialToo little evidence
Not enough observed days to publish a range 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.
- Revenue range · 7D
- $222–$1.6K
- Observed share
- 100.0%
- Downloads range · 7D
- 242–1.9K
- Rank
- —
- Coverage
- 14% · partial
- Confidence
- Low
| Storefront | Revenue range · 7D | Share | Downloads range · 7D | Rank | Coverage | Confidence | Updated |
|---|---|---|---|---|---|---|---|
| United KingdomGB | $222–$1.6K | 100.0% | 242–1.9K | — | 14% · 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
- 10.22.0
- Released
- Apr 15, 2015
- Last updated
- Sep 4, 2026
- Content rating
- 4+
- Default storefront
- GB
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
Kivra is a place where you can collect your important stuff. Letters, invoices, receipts and more – things that you otherwise would keep in binders, trousers or piles of paper. You no longer have to look for insurance letters, warranty receipts or the dog’s vaccination certificate. Instead you can gather everything in the same place to make it available at all times, wherever you are. Kivra is a sustainable alternative to postal mail and receipts. And for each document that is being sent or received in Kivra we take one step in the right direction for the environment. Furthermore, with our upload service you can choose and upload what is important to you, everything stored safely behind Mobile BankID. Today, tens of thousands of private companies send letters and invoices digitally using Kivra. And several of Sweden’s regions and authorities are connected, ready to send tax returns, vaccination certificates, annual statements and other important stuff to you. You can also receive digital receipts from some of the country’s most popular store chains. We continuously develop Kivra, with new functionalities and more connected companies, so that you can collect everything in the same place. Kivra – a better place for your important stuff. Kivra's terms and privacy notice can be found here: https://kivra.se/en/about-us/about-kivra/terms
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, 8:39 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, 11:43 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology





