Mobile App Growth Benchmark Report 2026: the organic vs paid install split
How mobile apps actually acquire users. A data study across 92 active apps on Linkrunner, 8.23 million installs, and a full quarter of real attribution data from December 2025 to March 2026.
92
Active apps analysed
8.23M
Total installs in the dataset
118
Days of daily attribution data
82.6%
Median organic share per app
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Organic and paid are not a binary, they are a spectrum
At the network level, organic installs account for 56.3% of total volume and paid for 43.7%. But the median per-app organic share is 82.6%, because a small number of high-volume paid-heavy apps skew the aggregate. The paid share grew from 34.4% in December to a peak of 53.2% in February before moderating to 44.6% in March, a swing of nearly 19 percentage points.
The distribution is bimodal: 51% of apps are more than 80% organic, 11% are more than 80% paid, and the rest blend channels. Social and community apps lean almost entirely organic (99.5%), while travel and e-commerce are paid-dependent. Scale matters too, with micro apps under 1,000 installs running a median 93.1% organic.
How the paid share evolved month to month
| Month | Organic | Paid | Total | Paid % |
|---|---|---|---|---|
| Dec 2025 | 913K | 479K | 1.39M | 34.4% |
| Jan 2026 | 1.32M | 876K | 2.20M | 39.9% |
| Feb 2026 | 938K | 1.07M | 2.01M | 53.2% |
| Mar 2026 | 1.46M | 1.18M | 2.64M | 44.6% |
Median organic install share by vertical
Vertical is the most important variable for reading an organic share. A 70% split is low for social but high for e-commerce.
| Vertical | Median organic % | Apps | Profile |
|---|---|---|---|
| Social / Community | 99.5% | 7 | Organic-native |
| Astrology / Spiritual | 96.3% | 3 | Organic-native |
| Gaming | 93.3% | 3 | Organic-native |
| Fintech | 85.6% | 14 | Organic-native |
| Food & Beverage | 82.1% | 4 | Organic-native |
| EdTech | 79.8% | 4 | Organic-native |
| Health & Fitness | 73.8% | 4 | Organic-native |
| SMB / Fintech | 40.0% | 7 | Balanced |
| Travel | 37.7% | 1 | Paid-dependent |
| eCommerce | 34.4% | 6 | Paid-dependent |
| Kids / EdTech | 7.7% | 2 | Paid-dependent |
How app scale changes the mix
| Scale tier | Median organic % | Apps | Signal |
|---|---|---|---|
| Micro (under 1K) | 93.1% | 20 | Pre-paid stage |
| Small (1K to 10K) | 85.1% | 31 | Inflection point |
| Mid (10K to 50K) | 64.6% | 18 | Heavy paid |
| Large (50K to 500K) | 64.3% | 18 | Equilibrium |
| Scale (500K+) | 71.5% | 5 | Portfolio maturity |
Five ways to act on these benchmarks
1. Know your profile
Identify whether your app skews organic-native, paid-dependent, or balanced. This shapes budget allocation, team structure, and measurement priorities.
2. Benchmark against your category, not the average
The network-level 56.3% organic / 43.7% paid split is not a useful benchmark for most individual apps. A fintech app at 60% organic is under-investing in paid by category standards. Use the vertical benchmarks as your starting reference.
3. If paid is growing, attribution quality becomes business-critical
As the attributed share grows, the cost of misattribution grows with it. An app running 53% paid installs with 15% attribution error is misdirecting a large share of its marketing budget on the wrong signals. Getting attribution right is a financial control.
4. Plan for scale shifts
As apps grow from micro to mid-scale, expect organic share to decline and paid influence to rise. Budget for this transition early rather than reacting to it.
5. Watch the mid-scale inflection point
The most consequential time to establish solid attribution infrastructure is when an app crosses from Micro (under 1K) to Small (1K to 10K). This is when paid campaigns begin in earnest and accurate channel-level measurement pays off most.
If paid is growing for your app, attribution accuracy is what protects the budget. See why teams choose Linkrunner as their mobile measurement partner for India, benchmark spend against India cost per install data, or go deeper on attribution for fintech, gaming, and e-commerce apps.
How the data was collected
The report uses daily, device-level install data collected by the Linkrunner attribution platform across all active app projects between 1 December 2025 and 31 March 2026. Apps were included if they recorded at least 100 installs in the period and appeared in at least two of the four months. All app-level data is anonymised and aggregated.
An organic install is one that could not be matched to a paid ad network touchpoint within the attribution window, including direct store search, word-of-mouth, SEO, and untracked referrals. An attributed (paid) install is one matched to a specific paid campaign via deterministic attribution to ad networks such as Meta, Google, and Apple Search Ads. Network-level figures are volume-weighted, while per-app statistics treat each app equally.
Frequently asked questions
Organic vs paid installs, benchmarks by vertical and scale, and methodology.
Measure your own organic vs paid split
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