How much does OLX make per month?

Based on our ML-calibrated revenue forecast, OLX earns approximately $6.4K/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.

What apps are like OLX?

Browse the full Shopping 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.

OLX is published by Sobek Auto India Private Limited 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 OLX's BU Score?

OLX has a BU Score of 82/100 (Excellent). The score combines App Store rating, ratings count, monetization model and revenue signals calibrated against founder-verified MRR anchors. See the BU Score formula.

OLX: Buy & Sell Near You

Quality Score

Excellent

OLX: Buy & Sell Near You

Name: OLX: Buy & Sell Near You — app revenue, audience, build cost & risk profile
Creator: bumetric
License: https://creativecommons.org/licenses/by/4.0/
Keywords: OLX: Buy & Sell Near You revenue, OLX: Buy & Sell Near You app analytics, mobile app revenue estimate, Shopping revenue, Android app revenue

High confidence

4.4 ✍️ Editor

✍️ bumetric analysis

“

This Android app carves out a strong niche in the C2C classifieds market, specifically for used goods and services in India, directly competing with platforms like Quikr and local Facebook Marketplace groups. Its substantial user rating, reflecting millions of reviews, signals robust user traction and a mature product in the growth stage, indicating a well-established user base and consistent engagement. While the app is free, its revenue model likely relies on premium listing features for sellers, promoted ads, or potentially lead generation services for specific categories like real estate or automotive. In this category, a common monetization observation is the significant revenue potential from in-app promotions and visibility boosts for sellers, often outperforming traditional display advertising due to higher conversion rates for motivated users.

BU Score 82 · Excellent — strong product-market fit. The full Investment Matrix below scores 8 dimensions including monetisation, growth, and operational risk.

Track snapshot history and revenue forecast in the Performance section below.

💰 Monthly revenue · now vs forecast

● Right now

$6.4K

per month

→

12-mo forecast

$6.6K – $13.9K

per month

→

24-mo forecast

$8.2K – $24.7K

per month

MID tier

💡 Grow this revenue

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Title & subtitle keyword fit
Description hook & conversion structure
Screenshots, ratings, reviews strategy

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Typical impact: +2-5× organic installs

📊 Performance Tracking LIVE

Loading…

idle

Rating

—

Reviews

—

Forecast Revenue / mo

—

Snapshots tracked

since first record

ONE-TIME · BUILD 💰 Estimated build cost

$100K

↳ What it cost to build · not monthly revenue

Likely range $75K – $135K

$25K · MVP floor $100K · indie scale $500K+ · studio build

📈 Pays back in ~1.3y at current MRR

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
⚙ Shopping complexity ×1.30	+$15K
🌐 Cross-platform reach (iOS + Android)	+$36K

Total estimate $100K

ONE-TIME · EXIT VALUE 💵 Estimated acquisition value

$125K

↳ What it would sell for · not monthly revenue

Marketplace range $75K – $150K · 18× MRR multiple

💸 ~1.2× build cost (break-even+)

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
⭐ ★ rating ≥ 4.4 (solid)	+8%
🏷 Shopping category multiple	+2%
⭐ Mature user base (1M+ ratings)	+8%

Final multiple 18× MRR

👥 Estimated audience size

316.0M

Lifetime downloads (US-equivalent)

Monthly active

37.5M

Daily active

6.8M

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

📲 Shopping engagement	~100 installs / rating
🔁 Shopping D30 retention	12%
📍 DAU / MAU stickiness	0.18

DAU / MAU 18% 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	Shopping
📦 Compact Android bundle	→ Native Kotlin

🔬

How we forecast this revenue

MEDIUM CONFIDENCE

Baseline

$6.4K/mo · ML-estimated from 234 triggers

Growth rate

+4.0% MoM · MID tier baseline (compound monthly)

Direction

Headwinds: low defensibility moat

6 months

$6.1K – $10.2K

12 months

$6.6K – $13.9K

24 months

$8.2K – $24.7K

Compound growth at +4.0% MoM (tier baseline for MID). Range widens with horizon — typical noise band ±25% at 6mo.. Ranges widen with horizon — distant futures carry more uncertainty.

📊

BU Investment Matrix

Below median · 44/100MID TIERunderperforming peers

Growth Velocity

5.0

Founder Strength

4.8

Product Quality

8.8

Revenue Strength

3.8

Monetization Maturity

1.0

Defensibility

2.0

Market Position

0.0

Operational Safety

10.0

💰 Revenue: Modest — $4K - $9K/mo · MID tier · medium confidence, trajectory unclear.
⭐ Quality: 4.41★ across 3,161,706 reviews — strong (top 10%).
📍 Market: Not yet charting in any of the 9 monitored markets.
📈 Growth: Insufficient signal to assess trajectory.
⚠️ Risk: Low — 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 = $115K-$205K.

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 3 of 3 triggers

Our ML model uses 200+ signals from public data. These are the most influential for this app:

High install base (3,161,706 ratings)METRIC		+$12,000
Good rating (4.4★)METRIC		+$800
Ad-supported / freemiumMETRIC		+$600

METRIC = structural app data · REVIEW = mined from user reviews · ✓ VERIFIED = Stripe-verified anchor (TrustMRR)

📥 Estimated Downloads / week

PROXY · ratings × 50/wk —

Industry-rule estimate (Sensor Tower / data.ai): one weekly install ≈ 50 new ratings. Solid points = tracked snapshots · faded line = pre-tracking model backfill.

📈 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.

🗓️ Snapshot Timeline

HISTORY

Each bar shows a tracked update and the metric delta from the previous snapshot.

Profile & Insights

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

Identification

App name: OLX: Buy & Sell Near You
Developer: Sobek Auto India Private Limited
Bundle ID: com.olx.southasia
App Store URL: Open in App Store
Category: Shopping
Content rating: Not found
Languages: Not found

Company

Website: Not found
Tagline: Not found
Description: Not found
Founded: Not found
HQ / Address: Not found
Employees: Not found
Logo: Not found

Revenue

Verified revenue / mo: Not found
AI revenue estimate / mo: $2.0M ($1.7M – $2.3M)AI medium
AI annual estimate: $23.8M/yr
ML model estimate / mo: $6.4K/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.

✨AI Revenue EstimateCONFIDENCE: MEDIUM

OLX India, operated by Sobek Auto India Private Limited, generated an annual revenue of approximately $23.84 million for the financial year ending March 31, 2025. This translates to an estimated monthly revenue of around $1.99 million, with projections indicating continued growth.

Sources mentioned: Tracxn, Tofler, YourStory, TipRanks.com, CarTrade Tech Ltd

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

🚀 Buy, sell, and rent used goods near you 🤑

Explore cars, bikes, real estate, and more in cities like Delhi NCR, Mumbai, Bengaluru, Hyderabad, Kerala, and many more.

Reach out to more than 3.5 crore buyers to find a new home for your pre-owned goods and services and get the best price💰

Browse from a wide range of products and services with real photos, selling price, location and detailed owner descriptions across multiple categories 📸

Easily search, sort, and filter by location, price, and relevance 🔍

Explore categories like:

🚗 Cars: Buy & sell used cars on OLX.… View full description on the official store →

App Specs

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📝 Description

BU Score · Transcendent

Full revenue analysis

Read the article-style breakdown for OLX: Buy & Sell Near You: category rank, percentile, growth signal, comparable apps, and how the forecast is calibrated against verified-MRR anchors in this niche.

Read deep-dive →