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J·BJon BishopIndependent growth marketer

7 selected resources · 2026-10-08

SaaS, AI and developer-tool marketing benchmarks

Read reported marketing, conversion, retention and growth numbers in context. Developer surveys are labeled as audience research; industry reports are separate from the scientific studies library.

7 matching resources

Growth and spendingIndustry report or survey; observational

SaaS Capital: private B2B SaaS growth, 2026

The report presents a 22% overall median growth rate from more than 1,000 private B2B SaaS respondents.

Use when: A private B2B SaaS company needs a stage-appropriate growth comparison

Metric: Annual revenue growthData period: 2025 growth reported in the 2026 surveyCohort: Responding private B2B SaaS companies; more than 1,000 survey respondents
Growth and spendingIndustry report or survey; observational

SaaS Capital: spending, 2026

The reported medians are 8% of ARR for marketing and 15% for selling costs in the 2026 survey.

Use when: You are comparing a budget allocation with other private SaaS businesses

Metric: Department spending as a percentage of ARRData period: Q1 2026 survey of current spendingCohort: More than 1,000 private B2B SaaS respondents; survey completed March 2026
Revenue retentionIndustry report or survey; observational

ChartMogul: SaaS retention, 2023

A retention report using anonymized aggregate data from over 2,100 SaaS businesses, with NRR, GRR and customer-retention distinctions.

Use when: You need to understand which retention measure and company cohort can answer your question

Metric: NRR, GRR and customer retention, with size and ARPA cohortsData period: Historical comparisons through 2022; 2023 reportCohort: Over 2,100 SaaS businesses in the publisher's analyzed data
Revenue retentionIndustry report or survey; observational

ChartMogul: The New Normal for SaaS, 2024

The report analyzes over 2,500 SaaS businesses and presents retention comparisons segmented by ARR, ARPA and subscriber count.

Use when: An overall NRR comparison hides differences in contract size or subscriber base

Metric: NRR and growth comparisons across SaaS cohortsData period: Historical series through H1 2024Cohort: Over 2,500 SaaS businesses; segment definitions vary by chart
Landing-page conversionIndustry report or survey; observational

Unbounce: SaaS landing-page conversion, 2024

The published SaaS median landing-page conversion rate is 3.8%, compared with a 6.6% all-industry baseline.

Use when: You need context for a landing-page action while keeping signup, activation and paid conversion separate

Metric: Median page conversion rateData period: 2024 benchmark report; exact collection window not stated in the inspected category pageCohort: SaaS-category pages in the Unbounce benchmark dataset; category-specific sample size not stated in the inspected page
Developer audience surveysIndustry report or survey; observational

Stack Overflow Developer Survey, 2025

The methodology reports 49,009 included responses from 177 countries, fielded May 29 to June 23, 2025.

Use when: You want to form hypotheses about developer interests and then check them with your intended users

Metric: Developer survey responsesData period: May 29–June 23, 2025Cohort: Respondents recruited primarily through Stack Overflow-owned channels with eligibility and consent screening
Email and messaging reportsIndustry report or survey; observational

Mailchimp: Peak Season 2025 messaging report

The publisher describes aggregate analysis of more than 44 billion emails and 83 million SMS messages sent during peak season 2025.

Use when: You need examples of cohort and time-window distinctions in an email benchmark

Metric: Message engagement, commerce order rate and attributed revenueData period: Oct 31–Dec 31, 2025; BFCM Nov 28–Dec 1Cohort: Active Mailchimp free and paid users; commerce metrics apply to users with a connected ecommerce store

Task collections

Selected industry reports and surveys, not experimental evidence. Unknown sample or collection details are stated explicitly; no universal performance targets or unsupported AI-specific baselines are invented.

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