Valuation is not a formula. It is a range shaped by which method a buyer applies, which metrics they trust, and what the acquisition means to them strategically. Most founders underestimate one of these — usually the last. This article covers all three.
The sections below address the main valuation methods used in practice, the specific metrics buyers will scrutinise and what thresholds matter, and a full checklist of the quantifiable and non-quantifiable factors that move a multiple up or down.
Part 1
How buyers frame the price
Different buyers apply different lenses. Understanding which lens your likely buyer uses is the first step to knowing what to prepare and what to emphasise.
Revenue multiples (ARR / MRR)
The default frame for subscription apps. A buyer offers a multiple of Annual Recurring Revenue — typically 2–6×, sometimes higher for exceptional assets. The multiple is not fixed: it is an output of the metrics below. What compresses it is churn, concentration, or dependency on paid acquisition. What expands it is growth rate, net revenue retention above 100%, and organic traffic.
Buyers will confirm revenue in your payment processor — Stripe, RevenueCat, App Store Connect — not your own model. Discrepancies between founder-reported figures and underlying data are the most common cause of renegotiation or deal collapse in app transactions.
EBITDA and SDE multiples
For profitable apps, buyers shift to an earnings-based frame. EBITDA multiples for indie software sit between 4–12×, determined by growth, margin quality, and defensibility. SDE — Seller's Discretionary Earnings — adjusts for owner salary and personal expenses; it is the relevant metric for solo-built apps under roughly $500k annual revenue.
Normalisation matters. An app generating $20k reported EBITDA might show $80k after adding back a founder's $60k salary. At a 5× multiple, the difference is $300k at exit. Identifying and documenting legitimate addbacks is one of the most direct ways to increase transaction value before going to market.
One-time purchase apps
Without recurring revenue, buyers look at trailing twelve months of net revenue and apply a lower multiple — typically 1.5–3×. The focus shifts to non-financial signals: app store rating, active user count, DAU/MAU, and whether the codebase is maintainable. The asset is the user base and brand; buyers price it accordingly.
Strategic transactions
Strategic buyers are not constrained by financial models. A company acquiring an app to fill a product gap, accelerate a roadmap, or block a competitor will pay what the opportunity is worth to them — which can be 2–3× what any financial analysis produces.
The gap between what a financial buyer will pay and what a strategic buyer will pay for the same app is routinely 50–150%. The process determines which type of buyer you are negotiating with.
Part 2
The metrics that move the multiple
Below are the metrics buyers examine in diligence, with the thresholds that matter in practice.
Net Revenue Retention (NRR)
NRR measures what happens to a paying cohort over time — accounting for upgrades, downgrades, and cancellations. It is the single most important indicator of subscription business quality, and the metric most likely to shift a revenue multiple materially.
- Below 90%the business shrinks even without accounting for new customers — a structural problem.
- 90–100%baseline, acceptable.
- Above 100%the existing base grows through upgrades even before new customers are counted.
- Above 110–120%the profile that attracts premium multiples, because the business compounds without needing to acquire its way to growth.
Churn analysis
Monthly churn is a headline figure; cohort curves are what buyers actually examine. A 3% monthly churn figure — roughly 30% annual loss — looks very different depending on whether that churn is front-loaded (new users leaving in month one) or spread evenly. Front-loaded churn with a stable long-term cohort is a different risk profile to steady ongoing loss, and an experienced buyer will price them differently.
Involuntary churn — payment failures — is examined separately. Above 20% of total churn, it signals either a lower-quality subscriber base or a failure in payment recovery processes. Buyers will discount for this at signing, even though it is often fixable post-acquisition.
DAU / MAU ratio
Daily Active Users divided by Monthly Active Users. A daily habit app (meditation, productivity, fitness) should sit at 40–60%+. A monthly tool might naturally sit at 10–15%. Anything below 10% in a category that expects regular use is a red flag. Buyers will benchmark against category norms, not apply a universal threshold.
LTV : CAC
LTV:CAC above 3:1 is considered healthy; above 5:1 is strong. The composition matters as much as the ratio. Apps where the majority of acquisition is organic — App Store search, word of mouth, editorial features — command a meaningful premium because organic traffic has no marginal cost and is durable. Apps dependent on paid social for the majority of new users carry channel concentration risk: if CPMs rise or the algorithm changes, the growth engine stalls.
Cohort revenue curves
For subscription apps, buyers want to see how revenue from a signed cohort evolves over 12–24 months. A flat or rising curve signals that the product delivers enough value to hold — and expand — subscribers. A steeply declining curve after month three signals that reported MRR is held up by acquisition volume rather than retention quality.
Part 3
Full valuation checklist
The table below covers the full range of factors that affect where an app prices — quantifiable metrics with thresholds and qualitative factors that often matter as much or more.
| Factor | What to measure / look for | Impact on multiple |
|---|---|---|
| Quantifiable metrics | ||
| MRR / ARR | Baseline of the deal. Verified in Stripe, App Store Connect, or RevenueCat — not founder model. | + Foundation of the multiple |
| MRR growth rate | <5% flat; 5–15% healthy; >15% strong; >30% commanding premium. | + Up to 2× base multiple |
| Net Revenue Retention | <90% red flag; 90–100% baseline; >110% strong; >120% exceptional. | + 0.5–1.5× on multiple |
| Gross churn rate | <2%/mo excellent; 2–5% acceptable; >5% problematic. Cohort curves matter more than headline. | − High churn = material discount |
| EBITDA / SDE margin | <20% thin; 20–40% solid; >40% exceptional. Normalise for owner salary and personal addbacks. | + Profitable = 30–50% premium |
| App store rating | <4.0 problematic; 4.0–4.5 standard; 4.5+ strong signal of product quality and support. | + Indirect: affects buyer confidence |
| DAU / MAU ratio | <10% low; 20–30% healthy; >50% exceptional. Benchmark against category norms. | + High engagement supports premium |
| LTV : CAC | LTV:CAC >3× healthy; >5× strong. Organic-dominant acquisition commands premium over paid. | + Low / organic CAC = material premium |
| Payback period | <12 months strong; 12–24 months acceptable; >24 months requires explanation. | − Long payback = risk flag |
| Revenue concentration | >40% from single customer, geography, or platform is a risk flag. | − Concentration = discount |
| Platform dependency | 100% paid-channel acquisition is a risk. 100% iOS-only app is fine. Assess fragility of each channel. | − High dependency = discount |
| Codebase health | Tech stack age, outstanding bugs, test coverage. Buyers will run technical DD. Old stacks = holdbacks. | − Tech debt = lower price or holdback |
| Owner time required | Hours/week to operate. Apps running on <5h/wk with clear SOPs trade at a premium. | + Low dependency = higher multiple |
| Operating cost structure | Hosting, support, tooling as % of revenue. Sub-10% COGS is strong; identify variable cost scaling. | + Low opex = margin expansion story |
| Non-quantifiable factors | ||
| Strategic fit | Does the app fill a gap in a buyer product suite, accelerate a roadmap item, or block a competitor? | + Can 2–3× a financial offer |
| Category tailwind | Is the app in a growing category (AI tools, health, B2B SaaS) or a declining one? | + Growing category = category premium |
| Brand and community | Recognisable name, active user community, press history. Organic brand equity is hard to build. | + Strong brand = premium |
| Competitive moat | Network effects, switching costs, proprietary data, deep platform integrations. | + Moat = significant premium |
| Acqui-hire value | Team quality, especially engineering/design. Rough market: $500k–$1M per senior hire. | + Talent-heavy = floor on price |
| IP and defensibility | Patents, trademarks, proprietary algorithms, exclusive data partnerships. | + Defensible IP = premium |
| App Store editorial history | Feature history signals product quality and reduces buyer risk perception. | + Features = buyer confidence |
| Geographic revenue mix | Revenue in stable markets (US, EU, ANZ) vs emerging markets with currency/regulatory risk. | + Stable geo mix = lower risk discount |
| Transition ease | Documentation, transferable contracts, clear App Store account migration. Poor handover = holdback. | − Poor handover = discount or holdback |
| Seller timing / urgency | A founder under pressure to sell receives lower offers. Competitive process consistently outperforms bilateral. | − Urgency = lower price |
Part 4
Multiple ranges by app profile
Indicative ranges by app type and quality. Actual outcomes depend on buyer type, process quality, and timing.
| Profile | Base | Strong | Exceptional | Key driver |
|---|---|---|---|---|
| Subscription app, growing | 2–3× ARR | 3–4.5× ARR | 4.5–6× ARR | NRR >110%, MoM growth >15% |
| Subscription app, flat/declining | 1–2× ARR | 2–3× ARR | — | Churn trajectory, margin |
| Profitable SaaS / plugin | 4–6× EBITDA | 6–9× EBITDA | 10–14× EBITDA | Growth rate, margin, moat |
| One-time purchase app | 1.5–2× TTM rev | 2–3× TTM rev | — | Rating, DAU/MAU, brand |
| App with strategic fit | Negotiated | 1.5–3× above financial | Higher | Buyer roadmap, exclusivity |
| Acqui-hire | $500k/hire | $1M/hire | $2M+/hire | Seniority, location, team size |
On outliers: published multiples are frequently skewed by strategic deals unrelated to financial metrics. An app that sold for 10× ARR had a buyer with a specific thesis. Using it as a benchmark in a financial buyer negotiation will produce frustration. The ranges above reflect the financial market; strategic premiums are case by case.
Part 5
What founders get wrong
A 4× ARR deal on $100k ARR is $400k. A 3× ARR deal on $140k ARR — achievable by improving NRR before going to market — is $420k. Improving the underlying metrics often matters more than negotiating the multiple.
The single biggest driver of deal price is competition. A founder negotiating bilaterally with one buyer has no leverage. A structured process with three or four credible bidders — even if one ultimately wins — changes the outcome materially.
Total downloads, social followers, press mentions. Buyers care about paying users, retention, and margin. An app with two million downloads and negligible MRR is not valued on downloads.
Founders who have spent years building often underestimate the value to a buyer trying to solve a different problem — speed to market, category entry, team acquisition, platform extension. The right framing opens a buyer category that would not engage with a purely financial pitch.
About Indie Goal
Indie Goal is the app M&A advisory from Samira Advisors, Vienna. We work with founders of iOS apps, Android apps, web products, and digital tools to manage the sale of their businesses — quietly, carefully, and with access to buyers who are actually looking.