Metric Definition
CPI
Cost per install
Cost per install measures the average amount spent to acquire a single app installation through paid advertising. It is the foundational efficiency metric for mobile user acquisition, connecting ad spend directly to the volume of new users entering the app.
7 min read
What is cost per install?
Cost per install (CPI) is the average price paid to acquire one new app installation through paid marketing channels. If a campaign spends five thousand pounds and generates two thousand installs, the CPI is two pounds fifty.
CPI is the mobile equivalent of cost per acquisition for web businesses, but with an important distinction: an install is not a customer. Users who install an app may never open it, may use it once and abandon it, or may never convert to a paying user. This makes CPI a necessary but insufficient measure of acquisition efficiency. It must be evaluated alongside post-install metrics like activation rate, retention, and lifetime value.
Despite this limitation, CPI remains the primary unit of measurement for mobile user acquisition because it is the point at which attribution is most reliable. Mobile measurement partners (MMPs) like Adjust, AppsFlyer, and Branch can attribute an install to a specific campaign, ad creative, and channel with high confidence. Post-install events are harder to attribute cleanly, making CPI the anchor metric for campaign-level optimisation.
CPI also directly determines the scale of growth. Given a fixed budget, lower CPI means more installs, which means more users entering the funnel. For a subscription app that converts 5% of installs to paid subscribers, reducing CPI from three pounds to two pounds increases the number of subscribers acquired by 50% for the same spend.
CPI is an input metric, not an outcome metric. A low CPI that brings users who never activate or pay is more expensive per paying customer than a high CPI that brings engaged users. Always evaluate CPI alongside post-install conversion and customer lifetime value.
How to calculate cost per install
Divide total campaign spend by total attributed installs. The calculation is straightforward, but accurate attribution is not.
Install attribution relies on matching a user who clicked an ad to the same user who subsequently installed the app. This matching is performed by MMPs using a combination of device identifiers, probabilistic fingerprinting, and self-attributing network (SAN) reporting from platforms like Google, Meta, and Apple Search Ads.
Since Apple introduced App Tracking Transparency (ATT) in iOS 14.5, deterministic attribution on iOS has become significantly harder. Many users opt out of tracking, which means a portion of installs cannot be attributed to specific campaigns. This creates a measurement gap where reported CPI may be higher than actual CPI because some campaign-driven installs are counted as organic.
To account for this, many teams track both attributed CPI and blended CPI. Attributed CPI divides spend by attributed installs only. Blended CPI divides spend by the incremental increase in total installs (both attributed and organic) during the campaign period, giving a more realistic view of true cost efficiency.
| CPI variant | Formula | When to use |
|---|---|---|
| Attributed CPI | Ad Spend / Attributed Installs | Campaign-level optimisation and channel comparison |
| Blended CPI | Total Ad Spend / Total Incremental Installs | Understanding true acquisition cost including organic uplift |
| Effective CPI (eCPI) | Total Acquisition Cost / All Installs (paid + organic) | Unit economics and LTV/CPI ratio analysis |
Cost per install in a metric tree
CPI sits between ad spend and the post-install funnel. In a metric tree, it decomposes upward into the factors that determine how much each install costs, and connects downward to the metrics that determine how much each install is worth.
The tree reveals two distinct paths to improving acquisition economics. The left branch reduces the cost of each install through better creative, smarter targeting, and higher app store conversion. The right branch increases the value of each install through better onboarding, activation, and monetisation. The most effective growth teams work both sides simultaneously.
The tree also surfaces a key insight: app store listing conversion rate affects CPI even for paid campaigns. Many ad formats drive users to the app store listing page, where they decide whether to install. A higher-converting listing page reduces the number of clicks (and cost) needed per install.
CPI benchmarks
CPI varies enormously by platform, geography, app category, and ad format. iOS CPIs are typically higher than Android due to smaller inventory and higher user quality. Developed markets cost significantly more than emerging markets. Gaming apps have a wide CPI range depending on genre.
| Category / Platform | Typical CPI range | Context |
|---|---|---|
| iOS (global average) | £1.50 to £4.00 | Higher due to ATT impact and premium user base. |
| Android (global average) | £0.50 to £2.00 | Larger inventory and broader geographic mix. |
| Gaming (casual) | £0.50 to £2.00 | High volume, broad targeting. Creative quality is the key lever. |
| Gaming (mid-core and strategy) | £2.00 to £6.00 | Smaller addressable audience, higher LTV justifies higher CPI. |
| SaaS / productivity app | £2.00 to £5.00 | Niche audiences. Quality of install matters more than volume. |
| Fintech / finance app | £3.00 to £8.00 | Regulated audience, high LTV. Competitive acquisition market. |
CPI benchmarks are useful for calibration but should not be the primary optimisation target. The metric that matters is LTV to CPI ratio. A five-pound CPI with a fifty-pound LTV is vastly better than a one-pound CPI with a two-pound LTV.
How to reduce cost per install
- 1
Invest in ad creative quality and testing
Creative is the single largest lever for CPI. High-performing video ads, playable ads, and interactive formats generate higher click-through rates, which reduce the cost of each click and therefore each install. Test new creatives weekly and retire fatigued assets before performance degrades.
- 2
Optimise the app store listing for conversion
A higher conversion rate on the app store listing page means more installs per click. Test screenshots, app preview videos, icon design, and the first few lines of the description. Even a 10% improvement in listing conversion directly reduces CPI by 10%.
- 3
Diversify acquisition channels
Relying on a single channel (typically Meta or Google) concentrates spend and increases competition for the same audience. Explore emerging channels like TikTok, Apple Search Ads, connected TV, and influencer partnerships where competition may be lower and CPIs more favourable.
- 4
Refine targeting and use exclusions
Exclude audiences that install but never activate. Suppress users who already have the app installed. Focus on lookalike audiences modelled on high-LTV users rather than broad reach. Every install from a user who never opens the app inflates effective CPI.
- 5
Leverage organic growth to reduce blended CPI
Invest in ASO, referral programmes, and viral loops to increase organic installs. Since organic installs are free, a higher organic percentage reduces blended CPI even if paid CPI remains constant. The strongest mobile businesses generate 60% to 80% of installs organically.
Common mistakes with cost per install
Optimising for the lowest CPI regardless of quality
The cheapest installs often come from the lowest-quality sources: incentivised networks, broad untargeted campaigns, or low-intent placements. These users rarely activate or pay. Optimise for CPI within quality constraints, not CPI alone.
Ignoring post-ATT attribution gaps
On iOS, a significant portion of installs cannot be attributed to specific campaigns. Relying solely on attributed CPI overstates the true cost. Use incrementality testing and blended CPI to get an accurate picture of acquisition efficiency.
Not accounting for organic cannibalisation
Some paid installs would have occurred organically without the ad spend. If 20% of attributed installs are cannibalised organic users, the true CPI for incremental installs is 25% higher than reported. Run incrementality tests to measure this effect.
Comparing CPI across geographies without adjusting for LTV
Installs in the UK or US cost more than installs in India or Brazil, but users in higher-CPI markets typically have much higher lifetime value. Evaluate CPI relative to the expected LTV of users in each market, not in absolute terms.
Related metrics
Customer Lifetime Value
CLV / LTV
SaaS MetricsMetric Definition
CLV = Average Revenue Per User × Gross Margin × Average Customer Lifespan
Customer lifetime value (CLV) is the total revenue a business can expect from a single customer account over the entire duration of their relationship. It quantifies the long-term financial worth of acquiring and retaining a customer, making it one of the most important metrics for sustainable growth.
Retention Rate
Product MetricsMetric Definition
Retention Rate = (Users Active at End of Period / Users Active at Start of Period) × 100
Retention rate measures the percentage of users or customers who continue to use your product over a given period. It is the most important growth metric because sustainable growth is impossible when users leave faster than they arrive.
DAU/MAU Ratio
Stickiness ratio
Product MetricsMetric Definition
DAU/MAU Ratio = DAU / MAU
The DAU/MAU ratio measures what proportion of monthly active users engage with your product every day. It is the most widely used indicator of product stickiness, revealing how deeply embedded your product is in users' daily routines.
Monthly Recurring Revenue
MRR
SaaS MetricsMetric Definition
MRR = Sum of Monthly Recurring Subscription Revenue from All Active Customers
Monthly recurring revenue (MRR) is the predictable, normalised revenue a subscription business earns each month. It is the single most important metric for understanding the health and trajectory of a SaaS company because it captures new sales, expansion, contraction, and churn in one number.
Connect install cost to downstream revenue
Build a metric tree that links CPI to creative performance, channel efficiency, and post-install conversion so you can optimise the full acquisition funnel, not just the install.