---
# === IDENTITY ===
id: finance/industry-benchmarks/retention-curves-by-vertical-2026/2026
canonical_question: "What are 2026 retention curve benchmarks by vertical — SaaS, consumer, marketplace, fintech?"
aliases:
  - "Retention benchmarks 2026 by industry vertical"
  - "D1 D7 D30 D90 D365 retention curves 2026"
  - "NRR GRR benchmarks SaaS SMB mid-market enterprise 2026"
  - "Consumer mobile app retention benchmarks by category 2026"
  - "Marketplace buyer seller retention benchmarks a16z"
  - "Fintech neobank subscription retention curves 2026"
  - "What is a good retention curve for my vertical"
entity_type: benchmark
domain: finance > industry-benchmarks > Retention Curves by Vertical
region: global
jurisdiction: global
temporal_scope: 2026

# === VERIFICATION ===
last_verified: 2026-04-15
confidence: 0.87
version: 1.0
first_published: 2026-04-15

# === TEMPORAL VALIDITY ===
temporal_validity:
  status: volatile
  last_breaking_change: "2025–2026 subscription fatigue pushed consumer subscription monthly churn from 2% (2019) to 5.5%; streaming video churn crossed 40% annual; SMB SaaS NRR compressed below 100% for the first time at median"
  next_review: 2026-10-12
  change_sensitivity: medium
  data_vintage: "H2 2025 – Q1 2026"

# === CONSTRAINTS ===
constraints:
  - "Segment specificity — retention curves differ by an order of magnitude across verticals. A 5% D30 is disastrous for fintech but healthy for ecommerce. Never compare curves across verticals."
  - "Methodology — figures are medians unless stated. Consumer apps use n-day retention (users active on exact day N). SaaS uses dollar retention (NRR/GRR) over 12-month cohorts. Marketplaces use GMV retention by cohort month. These are not directly comparable."
  - "Sample bias — SaaS benchmarks are US-centric, VC-backed ($1M–$100M ARR). Consumer mobile data is skewed toward Android/iOS apps tracked via Adjust/AppsFlyer/GameAnalytics. Marketplace data biased toward a16z-backed companies."
  - "Vintage warning — data is H2 2025 through Q1 2026. Subscription fatigue, AI feature saturation, and macro softness are actively reshaping curves. If you are reading this after Q3 2026, resample."
  - "Cohort vs snapshot — all curves here are cohort-based (a fixed cohort tracked forward). Snapshot retention (all active users at a point in time) produces higher, misleading numbers. Do not mix methodologies."

# === SKIP CONDITIONS ===
skip_this_unit_if:
  - condition: "User needs a single-metric SaaS retention benchmark (NRR only) with no cross-vertical context"
    use_instead: "finance/saas-benchmarks/saas-net-revenue-retention-benchmarks/2026"
  - condition: "User needs churn-specific benchmarks rather than retention curves"
    use_instead: "finance/saas-benchmarks/saas-churn-rate-benchmarks/2026"
  - condition: "User needs playbook/tactics to improve retention rather than benchmark data"
    use_instead: "business/startup-scaling/retention-improvement-playbook"
  - condition: "User is pre-product-market-fit with < 1,000 users (cohort sizes too small to benchmark)"
    use_instead: "business/customer-validation/early-retention-signals"

# === AGENT HINTS ===
inputs_needed:
  - key: segment
    question: "Which vertical applies?"
    type: choice
    options: ["B2B SaaS (SMB)", "B2B SaaS (Mid-Market)", "B2B SaaS (Enterprise)", "Consumer Mobile App", "Consumer Subscription (Streaming/Media)", "Marketplace (Buyer Side)", "Marketplace (Seller Side)", "Fintech (Neobank/Payments)"]
  - key: company_stage
    question: "What stage is the company?"
    type: choice
    options: ["Pre-PMF (<1K users)", "Post-PMF Early (1K–100K users)", "Growth ($1M–$50M revenue)", "Scale ($50M+ revenue)"]
  - key: metric_focus
    question: "Which retention metrics matter most?"
    type: multi_select
    options: ["Short-term engagement (D1/D7/D30)", "Long-term retention (D90/D365)", "Revenue retention (NRR/GRR)", "GMV retention", "Cohort curve shape (smile vs decay)"]

# === DISTRIBUTION ===
canonical_source: "https://knowledgelib.io/finance/industry-benchmarks/retention-curves-by-vertical-2026/2026"
suggested_citation: "Source: knowledgelib.io — AI Knowledge Library (verified 2026-04-15, data vintage: H2 2025 – Q1 2026)"

# === RELATED UNITS ===
related_kos:
  referenced_by: []
  related_to:
    - id: "finance/saas-benchmarks/saas-net-revenue-retention-benchmarks/2026"
      label: "Deep-dive on SaaS NRR by segment"
    - id: "finance/saas-benchmarks/saas-churn-rate-benchmarks/2026"
      label: "SaaS churn rate benchmarks (complement to retention)"
    - id: "finance/industry-benchmarks/saas-industry-benchmarks-2026/2026"
      label: "Full SaaS industry benchmark set (CAC, LTV, Rule of 40)"
    - id: "business/industry-benchmarks/marketplace-industry-benchmarks-2026/2026"
      label: "Marketplace take rate and GMV benchmarks"
  depends_on: []
  often_confused_with:
    - id: "finance/saas-benchmarks/saas-churn-rate-benchmarks/2026"
      label: "Churn benchmarks measure the inverse — losses rather than survivors. A 10% monthly churn = 90% monthly retention, but curve shape differs by cohort."
  alternative_to: []

# === SOURCES ===
sources:
  - id: src1
    title: "B2B SaaS NRR Benchmarks — 939 Companies by Segment & ACV Tier"
    author: Optifai
    url: https://optif.ai/learn/questions/b2b-saas-net-revenue-retention-benchmark/
    type: industry_report
    published: 2025-11-15
    data_period: "FY2025"
    sample_size: "939 B2B SaaS companies"
    reliability: authoritative
  - id: src2
    title: "App Retention Benchmarks for 2026: How Your App Stacks Up by Industry"
    author: Enable3
    url: https://enable3.io/blog/app-retention-benchmarks-2025
    type: industry_report
    published: 2026-01-20
    data_period: "Full-year 2025"
    sample_size: "Aggregated across 10K+ apps"
    reliability: high
  - id: src3
    title: "Mobile Retention Benchmarks 2026 — GameAnalytics Annual Report"
    author: GameAnalytics
    url: https://investgame.net/wp-content/uploads/2026/01/2026-01-20-Mobile_retention_benchmarks_2026.pdf
    type: industry_report
    published: 2026-01-20
    data_period: "H2 2025"
    sample_size: "100K+ mobile games and apps"
    reliability: authoritative
  - id: src4
    title: "GMV Retention: The Marketplace Metric Most Ignore"
    author: Andreessen Horowitz (Li Jin, Andrew Chen)
    url: https://a16z.com/gmv-retention-the-marketplace-metric-most-ignore/
    type: technical_blog
    published: 2025-09-10
    data_period: "Multi-year cohorts through 2025"
    sample_size: "a16z portfolio marketplaces"
    reliability: authoritative
  - id: src5
    title: "New Data Shows Losing 80% of Mobile Users Is Normal"
    author: Andrew Chen
    url: https://andrewchen.com/new-data-shows-why-losing-80-of-your-mobile-users-is-normal-and-that-the-best-apps-do-much-better/
    type: technical_blog
    published: 2025-06-01
    data_period: "Aggregated Quettra/Google Play data"
    sample_size: "125M+ app installs"
    reliability: authoritative
  - id: src6
    title: "Churn Rates for Streaming Services — 2026 Market Analysis"
    author: Churnkey
    url: https://churnkey.co/blog/churn-rates-for-streaming-services/
    type: industry_report
    published: 2026-01-10
    data_period: "FY2025"
    sample_size: "Top 20 streaming platforms"
    reliability: high
  - id: src7
    title: "2026 State of Subscriptions: The New Rules for Retention, AI, and Trust"
    author: Recurly
    url: https://recurly.com/resources/report/state-of-subscriptions/
    type: industry_report
    published: 2026-02-01
    data_period: "FY2025"
    sample_size: "2,500+ subscription businesses"
    reliability: high
  - id: src8
    title: "Retention Is All You Need — AI and Consumer Retention Benchmarks"
    author: Andreessen Horowitz
    url: https://a16z.com/ai-retention-benchmarks/
    type: technical_blog
    published: 2025-10-20
    data_period: "2024–2025"
    sample_size: "AI + consumer app cohort"
    reliability: authoritative
---

# Retention Curves by Vertical — 2026 Benchmarks

## Summary

Retention curves are the single most predictive signal of long-term business value, but "good retention" is meaningless without a vertical. This card consolidates 2026 cohort retention benchmarks across B2B SaaS (SMB, mid-market, enterprise), consumer mobile (gaming, fintech, ecommerce, social, health), consumer subscription (streaming, media), marketplaces (buyer and seller side), and fintech (neobanks). Each vertical uses different time horizons and units — SaaS measures dollar retention over 12 months; mobile measures user activity at D1/D7/D30; marketplaces measure GMV retention by cohort month. [src1, src2, src4]

**Data vintage**: H2 2025 through Q1 2026. Aggregated from 9 primary benchmark reports covering ~100K+ apps, ~2,500 subscription businesses, and ~940 B2B SaaS companies.

**Key shift**: SMB SaaS NRR crossed below 100% at median for the first time since 2019 as expansion stalled [src1]. Consumer subscription monthly churn rose to 5.5% (from 2% in 2019) driven by streaming fatigue [src6]. Mobile D30 retention compressed 10–15% across ecommerce, health, and education categories as CAC-driven installs saturated [src2]. Marketplaces and fintech held steadier, with top-quartile marketplaces still achieving 30% Month-12 demand retention [src4].

## Constraints
<!-- Agents: read before citing any benchmark number. -->

- **Vertical specificity**: A 5% D30 retention is excellent for ecommerce and disastrous for fintech. Never transplant a curve shape or threshold across verticals.
- **Methodology — three incompatible units**: (1) Consumer apps use n-day retention (user active exactly on day N post-install). (2) SaaS uses dollar retention (NRR/GRR) for 12-month cohorts. (3) Marketplaces use GMV retention (sum of GMV from cohort M in later months / GMV in month 0). Do not compare raw numbers across these units.
- **Median vs mean**: All figures median unless labeled. Means are dominated by outliers (Netflix alone distorts streaming; Duolingo alone distorts education). For target-setting, use 75th percentile; for sanity checks, use median.
- **Cohort vs snapshot**: These are cohort-based (fixed cohort tracked forward). Snapshot retention (all active users at one moment) inflates numbers by 2–4x. If a source doesn't state cohort methodology, treat with skepticism.
- **Geographic skew**: SaaS data US-centric. Mobile data weighted toward Android (larger install base). Streaming data primarily US/EU. Emerging markets typically show steeper D30 drop-off but flatter D365 tails.

## Metrics

## Metric Category 1: B2B SaaS Revenue Retention

### Net Revenue Retention (NRR) — 12-Month Cohort

**Definition**: (Starting ARR + expansion − contraction − churn) / starting ARR, measured over 12 months for customers who existed at period start. Excludes new logos.

| Segment | Median | 25th Percentile | 75th Percentile | Top Decile |
|---------|--------|-----------------|-----------------|------------|
| SMB SaaS (ACV <$15K) | 97% | 88% | 103% | 108% |
| Mid-Market SaaS (ACV $15K–$100K) | 104% | 96% | 112% | 120% |
| Enterprise SaaS (ACV >$100K) | 112% | 103% | 122% | 135% |
| Infra / DevTools SaaS | 118% | 108% | 128% | 140%+ |
| PLG / Self-Serve SaaS | 106% | 95% | 118% | 128% |

**Trend**: SMB NRR compressed 4–6 points YoY in 2025 as expansion stalled and seat-based contraction accelerated [src1]. Enterprise and DevTools held steady. Top-decile performers (Snowflake, Datadog tier) still clearing 130%+ [src1].
**Red flag threshold**: SMB NRR <90% = revenue base contracting. Enterprise NRR <100% = churn exceeds expansion, unusual for segment, investigate.
**Action trigger**: If NRR <100% for two consecutive quarters, prioritize expansion motion or churn diagnosis before further acquisition spend.

[src1, src7]

### Gross Revenue Retention (GRR) — 12-Month Cohort

**Definition**: (Starting ARR − contraction − churn) / starting ARR. Excludes expansion. Pure survival measurement.

| Segment | Median | Healthy Range | Alarm Threshold |
|---------|--------|---------------|-----------------|
| SMB SaaS | 82% | 80–90% | <75% |
| Mid-Market SaaS | 90% | 88–94% | <85% |
| Enterprise SaaS | 94% | 92–97% | <90% |
| Infra / DevTools SaaS | 93% | 90–96% | <88% |

**Red flag threshold**: GRR gap from NRR >25 percentage points = company is masking real churn with expansion; dangerous at scale.
**Action trigger**: Measure GRR separately every quarter; track the GRR:NRR spread.

[src1]

## Metric Category 2: Consumer Mobile App Retention (n-day)

### D1 / D7 / D30 Retention by Category

**Definition**: Percentage of users from install cohort active on exactly day N. Median across 2025 cohorts.

| Vertical | D1 (Median) | D7 (Median) | D30 (Median) | D30 Top Quartile |
|----------|-------------|-------------|--------------|------------------|
| Mobile Gaming | 31% | 14% | 7% | 14% |
| Fintech (Neobank / Payments) | 27% | 17% | 11% | 22% |
| Social / Messaging | 27% | 10% | 5% | 12% |
| E-commerce / Retail | 22% | 11% | 5% | 10% |
| Health & Fitness | 24% | 7% | 3% | 8% |
| Education / Learning | 21% | 8% | 3% | 9% |
| Productivity / Utility | 28% | 13% | 8% | 16% |
| Media & Entertainment | 25% | 11% | 6% | 13% |

**Platform delta**: iOS runs ~3pp higher than Android across categories (e.g., iOS D1 27% vs Android D1 24%; iOS D30 8% vs Android D30 6%) [src2, src3].
**Trend**: D30 compressed 10–15% in 2025 across ecommerce/health/education as paid-install CAC saturated and low-intent users flooded cohorts [src2]. Fintech D30 held strongest due to utility-driven engagement.
**Red flag threshold**: D30 below 3% for any category except pure-media apps indicates severe onboarding or product-market fit problems.
**Action trigger**: If D1 is healthy but D30 drops >70% from D1, diagnose Week-2 disengagement (onboarding depth or core-loop repetition).

[src2, src3, src5]

### D90 and D365 Retention — The Long Tail

**Definition**: Same cohort still active at 90 days (3 months) and 365 days (1 year) after install.

| Vertical | D90 (Median) | D365 (Median) | D365 Top Decile |
|----------|--------------|---------------|-----------------|
| Mobile Gaming | 3% | <1% | 3% |
| Fintech (Neobank) | 8% | 4% | 12% |
| Social / Messaging | 3% | 1.5% | 8% |
| E-commerce / Retail | 3% | 1% | 5% |
| Health & Fitness | 2% | <1% | 4% |
| Productivity / Utility | 6% | 3% | 10% |

**"Smile curve" note**: Best-in-class consumer apps show D365 stabilize or rise vs D90 (resurrection + power-user concentration). Losing 80% of users by D30 is normal; the question is what the flat tail looks like [src5].
**Red flag threshold**: D365 below 1% for any non-game vertical = no durable user base; LTV calculations unreliable.

[src2, src5, src8]

## Metric Category 3: Consumer Subscription (Streaming & Media)

### Monthly Churn — Subscription Services

**Definition**: Subscribers who cancel in month M / subscribers active at start of month M. Excludes involuntary churn (payment failure) unless labeled.

| Category | Median Monthly Churn | Best-in-Class | Alarm Threshold |
|----------|----------------------|---------------|-----------------|
| Audio Streaming (Spotify-tier) | 1.5% | <1% (Spotify ~0.9%) | >3% |
| Video Streaming (Netflix-tier) | 2.5% | ~2% (Netflix 1.8–2.0%) | >5% |
| Video Streaming (Mid-tier, e.g., Paramount+, Max) | 5.5% | 3.5% | >8% |
| News / Digital Media Subscriptions | 4% | 2% | >7% |
| Subscription Box (Physical) | 8% | 5% | >12% |
| Niche/Vertical SaaS-like Consumer (Duolingo, Calm) | 3% | 1.5% | >6% |

**Annualized**: Audio ~12% annual churn; video ~40% annual across mid-tier, ~22% for Netflix-tier; subscription boxes ~60%+ annual [src6].
**Trend**: Overall consumer subscription monthly churn rose from 2% (2019) to 5.5% (2025) driven by streaming fatigue and rotational subscribers [src6]. 23% of streaming subscribers are "serial churners" rotating between services [src6].
**Red flag threshold**: Monthly churn >8% for any subscription service = product-market fit or pricing problem; LTV economics likely broken.
**Action trigger**: If monthly churn >5%, prioritize annual-plan conversion and bundling partnerships before spending on acquisition.

[src6, src7]

### Resurrection / Win-Back Rate

**Definition**: Former subscribers who return within N months of canceling.

| Category | 6-Month Win-Back | 12-Month Win-Back |
|----------|-------------------|-------------------|
| Video Streaming (Netflix reference) | 50% | 61% |
| Audio Streaming | 30% | 42% |
| News / Digital Media | 20% | 28% |
| Subscription Box | 15% | 22% |

[src6]

## Metric Category 4: Marketplace Retention (Two-Sided)

### Demand-Side (Buyer) GMV Retention

**Definition**: For a monthly cohort of buyers, sum of GMV they transact in month M+N / GMV they transacted in month 0. Tracks whether buyers come back and spend more (or less).

| Month | a16z Median | Top Quartile | Great Marketplace |
|-------|-------------|--------------|-------------------|
| Month 1 | 66% | 75% | 85%+ |
| Month 3 | 57% | 68% | 80%+ |
| Month 6 | 50% | 62% | 75%+ |
| Month 12 | 30% | 45% | 60%+ (smile curve) |
| Month 24 | 22% | 38% | 60%+ (flat or rising) |

**Curve shape matters more than level**: Great marketplaces exhibit a "smile" — retention dips through month 6–9 then rises as power buyers concentrate. Merely-OK marketplaces show monotonic decay [src4].
**Red flag threshold**: Month-12 demand retention <20% = transactional, not habitual; LTV assumptions likely wrong.

[src4]

### Supply-Side (Seller) Retention

**Definition**: Sellers active in month M+N / sellers active in month 0 (same cohort).

| Month | Median | Top Quartile |
|-------|--------|--------------|
| Month 1 | 75% | 85% |
| Month 3 | 65% | 78% |
| Month 6 | 55% | 70% |
| Month 12 | 38% | 55% |

**Note**: Supply retention typically runs 5–15pp higher than demand retention because sellers invest in onboarding (listings, brand, tooling) [src4].

[src4]

## Metric Category 5: Fintech (Neobank & Payments App) Retention

### Neobank Cohort Retention

**Definition**: Users who signed up for a neobank and have at least one active transaction in the given month.

| Month | Median | Top Quartile |
|-------|--------|--------------|
| Month 1 | 62% | 78% |
| Month 3 | 45% | 65% |
| Month 6 | 32% | 52% |
| Month 12 | 22% | 42% |

**Key behavior**: Primary-account neobanks (where user deposits salary) retain 3–5x better than secondary/experimentation accounts. Direct-deposit activation is the leading indicator of Month-12 retention [src5, src8].
**Trend**: 2026 narrative shift from "growth at all costs" to profitability; many neobanks cut acquisition and refocused on activating existing users [src8].
**Red flag threshold**: Month-6 retention <25% = users treating account as trial; acquisition spend likely unrecoverable.

[src2, src5, src8]

## Composite Metrics & Rules of Thumb

| Rule | Formula / Threshold | Interpretation |
|------|---------------------|----------------|
| Quick Ratio (SaaS) | (New MRR + Expansion MRR) / (Churn MRR + Contraction MRR) ≥ 4 | Healthy growth engine — adding $4 for every $1 lost |
| NRR − GRR Spread | NRR minus GRR, compared to 20pp | Gap >25pp = expansion is masking churn; gap <10pp = under-monetizing existing customers |
| Andrew Chen 80/20 | ~80% of mobile users churn by D30 even for great apps | Focus on the flat tail (D30+) — that's where LTV lives |
| Marketplace Smile Test | Month-12 demand retention > Month-6 demand retention | Indicates power-user concentration and genuine habituation (predictive of durable business) |
| Streaming Annual Churn Ceiling | Monthly × 12 × 0.9 (for compounding) | Rule of thumb: monthly churn ≤ annual churn / 10 for a healthy service |
| Fintech Direct-Deposit Lift | Direct-deposit users retain 3–5x primary-account baseline | If <20% of accounts have direct deposit by M3, core value prop is weak |

**Constraint**: Rules of thumb break down for early-stage companies (<1K monthly cohort) and for products with long natural purchase cycles (tax software, wedding apps). Don't force cohort analysis on seasonal products. [src4, src5]

## Segment Definitions

| Segment | Definition | Typical Characteristics |
|---------|-----------|--------------------------|
| SMB SaaS | ACV <$15K, <100-employee buyer, self-serve or inside-sales motion | Higher churn (10–15%/yr), fast sales cycles, seat-based contraction risk |
| Mid-Market SaaS | ACV $15K–$100K, 100–1,000-employee buyer | Hybrid motion, 5–10%/yr churn, meaningful expansion possible |
| Enterprise SaaS | ACV >$100K, >1,000-employee buyer, field sales | <5%/yr logo churn, heavy expansion via seats/modules, multi-year contracts |
| Consumer Mobile App | App-store distributed, free or freemium, cohort measured n-days post-install | Steep D1–D30 curve; retention economics depend on monetization mix |
| Consumer Subscription | Direct-bill monthly or annual recurring, non-app primary channel (web/TV/hardware) | Lower D1 churn but higher annual churn via cancel events |
| Marketplace (Buyer) | Buyer cohort tracked by GMV retention — dollars spent, not just sessions | Smile curves indicate PMF; decay curves indicate transactional |
| Marketplace (Seller) | Seller cohort tracked by GMV generated or listings active | Usually 5–15pp higher than buyer retention due to switching cost |
| Fintech Neobank | Checking/deposit account with active transactions in month | Direct deposit is leading retention indicator |
| Fintech Payments App | P2P or bill-pay app with ≥1 transaction in month | Habit-loop driven; Month-3 retention most predictive |

## Year-over-Year Trend Summary

| Metric | 2024 | 2025 | 2026 | Direction |
|--------|------|------|------|-----------|
| SMB SaaS NRR (median) | 103% | 100% | 97% | ↓ 3pp (expansion compression) |
| Enterprise SaaS NRR (median) | 113% | 112% | 112% | → Stable |
| Consumer Mobile D30 (aggregate median) | 8% | 7.5% | 7% | ↓ 0.5–1pp (CAC saturation) |
| Streaming Video Monthly Churn (mid-tier) | 4.5% | 5.0% | 5.5% | ↑ 0.5pp (fatigue) |
| Marketplace Month-12 Demand Retention (median) | 32% | 31% | 30% | → Roughly stable |
| Neobank Month-12 Retention (median) | 20% | 21% | 22% | ↑ (growth-to-profitability refocus) |

[src1, src2, src6, src8]

## Common Misinterpretations

- **Using snapshot retention as cohort retention**: Dashboards often show "retention = MAU / installs-last-30-days," which overstates true cohort retention by 2–4x. Always label methodology. [src5]
- **Applying SaaS NRR thinking to consumer apps**: A consumer app has no "expansion revenue" unless it has tiered subscriptions. Don't chase NRR-style metrics for cohort engagement analysis. [src1, src5]
- **Comparing D30 across verticals**: A 5% D30 retention rate is disastrous for fintech (where median is 11%) but healthy for ecommerce (where median is 5%). The vertical defines the threshold. [src2]
- **Treating median as a target**: Median means 50% of companies are below it. For ambition, use 75th percentile. For sanity checks, use median. For investment decisions, consider top decile. [src1, src3]
- **Ignoring the curve shape**: Two products with identical M12 retention can have very different long-term value if one shows a smile (power users concentrating) and the other shows monotonic decay. Always look at full curve, not a single point. [src4]
- **Forgetting involuntary churn**: In subscription businesses, 20–40% of observed monthly churn is involuntary (card failures). A 5% reported monthly churn may be 3% voluntary + 2% involuntary — fixable separately. [src6, src7]
- **Projecting LTV from <6 months of data**: Cohort curves need at least 6 months of observation (ideally 12) to be reliable. Early-cohort LTV extrapolations are routinely off by 2–3x. [src5]

## When This Matters

Fetch this card when an agent is benchmarking retention for a specific vertical, validating a financial model's retention assumptions, diagnosing whether a company's cohort curves are healthy, or setting KPI targets that reference industry norms. Especially relevant during board prep, diligence, or strategy reviews where cross-vertical comparisons come up.

## Related Units

- [SaaS Net Revenue Retention Benchmarks 2026](/finance/saas-benchmarks/saas-net-revenue-retention-benchmarks/2026)
- [SaaS Churn Rate Benchmarks 2026](/finance/saas-benchmarks/saas-churn-rate-benchmarks/2026)
- [SaaS Industry Benchmarks 2026 — Full Set](/finance/industry-benchmarks/saas-industry-benchmarks-2026/2026)
- [Marketplace Industry Benchmarks 2026](/business/industry-benchmarks/marketplace-industry-benchmarks-2026/2026)