1.3M Android Apps Tracked Updated 1 min ago Revenue Forecasts
Add an app Create Account Sign In
Home

Splunk On-Call

43
Quality Score
Emerging

Splunk On-Call

Medium confidence
3.1 Google Play rating
✍️ Bumetric analysis
“

Splunk On-Call is an Android app from Splunk Inc. in the Productivity category, currently rated 3.1★ across 344 ratings. Initial signal reads as mostly critical sentiment so far: users flag rough edges and unmet expectations.

Quality Score is 43: Emerging (early traction worth watching). For a Productivity app, that means early traction worth watching. The full BU Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.

Track changes month-over-month in the Performance section below: live snapshot history and revenue forecast included.

💰 Monthly revenue · now vs forecast
● Right now
$500
per month
→
12-mo forecast
$437 – $1575
per month
→
24-mo forecast
$405 – $3644
per month
INDIE tier
💡 Grow this revenue
Free AI audit of this app’s store listing
  • Title & subtitle keyword fit
  • Description hook & conversion structure
  • Screenshots, ratings, reviews strategy
Run free AI audit →
Typical impact: +2-5× organic installs
🔔Notify me when this app's revenue changes by

📊 Performance Tracking LIVE

1 snapshots on record
idle
0%
Rating
3.1
Reviews
344 reviews
Forecast Revenue / mo
$500
Snapshots tracked
1
since May 2026
ONE-TIME · BUILD 💰 Estimated build cost
$165K
↳ What it cost to build · not monthly revenue
Likely range $125K – $225K
$25K · MVP floor $100K · indie scale $500K+ · studio build
📈 Slow ROI — current MRR is well below build cost

Synthetic estimate. Inputs: category complexity, file size, screen count, monetization layer, platform reach, age × team-size proxy. Calibrated against 2024-2026 indie-agency rate surveys. Full math + source list on /methodology.

Where the money goes
🧱 MVP baseline (design + 1-store ship) +$28K
📱 5 unique screens × $4.5K +$22K
⚙ Productivity complexity ×1.10 +$5K
🌐 Cross-platform reach (iOS + Android) +$30K
⚙ 13.1y maintenance × ~1-person team +$78K
Total estimate $165K
ONE-TIME · EXIT VALUE 💵 Estimated acquisition value
$5K
↳ What it would sell for · not monthly revenue
Marketplace range $5K – $10K · 15× MRR multiple
💸 ~0.0× build cost (under-water)

Synthetic estimate. Multiple band derived from ad-supported + age, rating quality, category demand, and user-base maturity. Calibrated against 2024-2026 indie-app-marketplace closed-deal medians. Full math + comparable deal list on /methodology.

How the multiple was built
📺 Ad-supported base 15× MRR
📅 13.1y proven track record +20%
⭐ ★ rating < 3.5 (weak) -18%
🏷 Productivity category multiple +8%
⭐ Small user base (<1K ratings) -8%
Final multiple 15× MRR
👥 Estimated audience size
18K
Lifetime downloads (US-equivalent)
Monthly active
1.7K
Daily active
760

Synthetic estimate from ratings × category benchmarks. Calibrated against 2024-2026 mobile-attribution retention + DAU/MAU reports. Numbers are US-storefront-equivalent — true global audience can be 5-10× larger for international apps. Full math + source list on /methodology.

How we sized it
📲 Productivity engagement ~75 installs / rating
📅 13.1y of rating accumulation -30%
🔁 Productivity D30 retention 30%
📍 DAU / MAU stickiness 0.45
DAU / MAU 45% sticky
🛠 Estimated tech stack
🤖
Native Android (Kotlin)
High confidence · 80%
Also possible
Flutter

Heuristic guess from app bundle size, category, store description signals, and release-date stack era. Bumetric does not disassemble binaries — for binary-level certainty you would need an SDK intelligence tool or the manifest itself. Reasoning chain on the right. Full ruleset on /methodology.

Signals we read
🏷 Category context Productivity
📦 Compact Android bundle → Native Kotlin
💀 Maintenance status
At risk
60%
Last shipped 2026-04-20 · 202 days ago
0 · Active 50 · At risk 100 · Abandoned

Heuristic risk score from time-since-last-update + ratings velocity proxy + Editor's Choice / curated featuring signals. Calibrated against 2024-2025 app-store ranking decay reports. Not a guarantee — a quiet app with a healthy codebase looks the same as an abandoned one until something breaks. Full math on /methodology.

Risk signals
📅 6 months since last update Concerning gap
👥 Small user base (344 ratings) + 13.1y old +10% (solo-project pattern)
Verdict At risk
🔬

How we forecast this revenue

LOW CONFIDENCE
Baseline
$500/mo · ML-estimated from 234 triggers
Growth rate
+6.0% MoM · INDIE tier baseline (compound monthly)
6 months
$426 – $993
12 months
$437 – $1.6K
24 months
$405 – $3.6K
Compound growth at +6.0% MoM (tier baseline for INDIE). Range widens with horizon — typical noise band ±40% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.
📊

BU Investment Matrix

Pre-traction · 37/100INDIE TIERlimited signal
RevenueQualityMarketGrowthMoatSafetyFounderMonetiz.
Revenue Strength
2.7
Product Quality
4.3
Market Position
0.0
Growth Velocity
5.0
Defensibility
6.0
Operational Safety
7.0
Founder Strength
3.5
Monetization Maturity
1.0
  • 💰 Revenue: Marginal — $200 - $1250/mo · INDIE tier · medium confidence, trajectory unclear.
  • ⭐ Quality: 3.06★ across 344 reviews — weak — significant quality concerns.
  • 📍 Market: Not yet charting in any of the 9 monitored markets.
  • 📈 Growth: last update 202d ago — slow cadence.
  • ⚠️ Risk: Moderate — no material risk signals detected.
🎯 For competitors: Mixed picture. Worth competing if you have a clear UX or pricing edge — otherwise crowded segment.
💵 For acquirers: Estimated asking range 18-32× monthly = $9K-$16K.
Composite of 8 dimensions computed deterministically from public signals — no LLM, every score traces back to a measurable input. Default weights shown; "compete" / "acquire" / "invest" lenses re-weight without re-fetching.
Range:

💰 Forecast Revenue / mo

MODEL
Revenue forecast computed from BU's 234 trigger model on each snapshot. Calibrated against ground-truth from 58 verified-revenue apps.
🔬Forecast Breakdown — Why This Estimate?Top 5 of 5 triggers
Our ML model uses 200+ signals from public data. These are the most influential for this app:
Below-average rating (3.1★)METRIC
−$1,500
Mature app (13y old)METRIC
+$1,500
slowREVIEW
−$1,200
Ad-supported / freemiumMETRIC
+$600
Early-stage install base (344 ratings)METRIC
+$400
METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📈 Reviews Growth

LIVE
Cumulative review count from first BU snapshot. Each point = a tracked update.

⭐ Rating Trend

LIVE
Average rating evolution. Updates with each new review batch.

Profile & Insights

Everything we know — and don't — about this app and its company.

Identification

App name
Splunk On-Call
Developer
Splunk Inc.
Bundle ID
com.victorops.androidclient
App Store URL
Open in App Store
Category
Productivity
Content rating
Not found
Languages
Not found

Company

Website
www.splunk.com
Tagline
Not found
Description
Not found
Founded
Not found
HQ / Address
Not found
Employees
Not found
Logo
Not found

Revenue

Reported revenue signal / mo
Not found
AI revenue estimate / mo
Not found
AI annual estimate
Not found
Model estimate / mo
$500/mo
Top-grossing rank
Not found
All-time revenue
Not found
Pricing
Not found

Founder

Founder data not yet collected for this app.

Funding

Funding data not yet collected for this app.

Press & Links

Press & Links data not yet collected for this app.

Contacts & Socials

Contacts & Socials data not yet collected for this app.
Profile is built from iTunes Lookup + developer site scrape + ML revenue model. Empty fields show "Not found" — additional sources (Crunchbase, X, IndieHackers, Acquire.com) coming.

📝 About this app

Splunk On-Call is incident management software purpose-built for DevOps. From fast forensics to rapid remediation, we empower engineering and operations teams to work together, solve problems faster, and continuously improve in high-velocity deployment environments. Use smart alert management and in-app conference calling to expedite incident resolution, improve uptime, and reduce the strain on on-call teams.


The Splunk On-Call app allows users to access our full suite of alert management, collaboration, and on-call scheduling functionality via Android devices.… View full description on the official store →
App Specs
🔐 Own this app? Claim & verify MRR →
🔖 v7.72 (1437)🔄 updated 6mo ago📂 Productivity💰 Free🚀 Launched 2013 (13y old)
🧪

Tech & Domain Intel — splunk.com

Tech stack
Microsoft 365 · Apple Pay / Sign in with Apple · Google Workspace · Notion (workspace) · Stripe · Atlassian (Jira/Confluence)
Derived from public RDAP + DNS TXT records (no scraping, no login).
🔔

Track this app’s revenue

FREE
Get an email when revenue moves by your threshold. No spam, unsubscribe in one click.

📝 Description

95
BU Score · Transcendent
Full revenue analysis
Read the article-style breakdown for Splunk On-Call: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.
Read deep-dive →

More by Splunk Inc.

View all →
📦 Portfolio summaryINDIE studio
4apps·$1K/mocombined
✓ Diversified — top app contributes 33%; risk spread across portfolio

Similar apps in Productivity

About this analysis
ZCAnalyzed by Zakhar Chumak · founder, Bumetric·Full methodology·Medium confidence

Why medium confidence: 344 ratings · no founder-verified revenue (model estimate only).

❓ Frequently Asked Questions

10 answers · auto-generated from this app's public data
How much does Splunk On-Call make per month?▴
Based on our ML-calibrated revenue forecast, Splunk On-Call earns approximately $500/mo. This is a US-storefront-equivalent estimate; global revenue can be several times larger for internationally-distributed apps. See the methodology page for the full formula and confidence bands.
Is Splunk On-Call profitable?▴
With estimated build cost $165K and monthly revenue $500, Splunk On-Call looks well below break-even — current monthly revenue is much smaller than the estimated build cost. Profitability also depends on paid-acquisition spend and refund rate which the public model doesn't see.
How many users does Splunk On-Call have?▴
Estimated audience: ~18K lifetime downloads, ~1K monthly active users, and ~760 daily active users. Derived from ratings count × category installs-per-rating × age decay. US-storefront-equivalent — global audience can be 5-10× larger for internationally-distributed apps.
What apps are like Splunk On-Call?▴
Browse the full Productivity category catalog to find similar apps with revenue, build cost, audience and tech stack data. Each /p/{slug} page also shows a Compare side-by-side widget with three peer apps from the same niche.
What is Splunk On-Call built with?▴
Our heuristic places Splunk On-Call on the Native Android (Kotlin) stack (High confidence, 80%). Signals: app bundle size, category context, store-description markers, release-date era. We don't disassemble binaries. Alternative possibilities: Flutter.
Is Splunk On-Call still actively maintained?▴
Maintenance status: At risk (60% abandonment risk). Last shipped version was 6 months ago. The risk score combines time-since-last-update with Editor's Choice / curated featuring + user-base maturity adjustments.
How much would Splunk On-Call sell for?▴
Estimated acquisition value: $5.0K (marketplace range $5.0K – $10K). Calculated as 15× monthly revenue using the standard multiple for the detected monetization model + adjustments for age, rating quality and category demand. Calibrated against 2024-2026 Flippa / Acquire.com / MicroAcquire closed-deal medians.
When was Splunk On-Call last updated?▴
Splunk On-Call last shipped a new version on 2026-04-20 — 6 months ago. This is the date Apple / Google last accepted a new build, not a content-only push.
Who makes Splunk On-Call?▴
Splunk On-Call is published by Splunk Inc. on the Google Play Store. See the full publisher portfolio (other apps by the same developer) via the More by developer block on the product page above.
What is Splunk On-Call's BU Score?▴
Splunk On-Call has a BU Score of 43/100 (Emerging). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.