2026 Benchmarks Marketing / Adtech

Marketing / Adtech Churn Rate

Martech and adtech SaaS faces above-average churn driven by an incredibly crowded market, difficulty proving attribution, and the constant pressure marketers face to justify tool spend. CMOs typically audit their marketing stack at least annually, and tools that can't prove direct revenue impact get cut. The "martech stack bloat" phenomenon means many tools are adopted experimentally and abandoned within months.

Monthly Churn

5.2%

median

Typical Range

3-8%

monthly

Annual Equivalent

47%

yearly

"Good" Threshold

<3.5%

monthly

How Does Your Rate Compare?

Enter your monthly churn rate to see how you stack up against the Marketing / Adtech benchmark.

%

Key Factors Driving Marketing / Adtech Churn

Understanding why customers leave is the first step to keeping them.

1

Attribution difficulty — tools that cannot prove direct revenue impact are first on the chopping block.

2

Stack consolidation — companies regularly audit and reduce overlapping marketing tools.

3

CMO tenure and strategy shifts — new marketing leadership often brings preferred tool preferences.

4

Budget volatility — marketing budgets are cut faster than most departments during downturns.

5

Feature overlap — martech tools increasingly compete with features built into adjacent platforms.

Retention Strategies for Marketing / Adtech

Proven approaches to reduce churn in this industry.

Build robust attribution and ROI reporting that makes the business case obvious at renewal time.

Create integrations with the broader marketing stack so your tool becomes a central hub, not a spoke.

Develop workflow automations that make your product the system of record for a specific process.

Implement usage-based success metrics that correlate with customer marketing performance.

Offer strategic advisory services that position your team as partners, not just software vendors.

How Marketing / Adtech Compares

See where Marketing / Adtech sits relative to all 13 industries.

Industry Monthly Range Annual
Cybersecurity 2.9% 1.5-5% 29%
Fintech / Banking SaaS 3.2% 1.5-5% 32%
Developer Tools 3.8% 2-6% 37%
B2B SaaS 3.9% 2-7% 37%
Logistics / Supply Chain 4.0% 2-6% 38%
Healthcare / Healthtech 4.1% 2-6% 39%
HR / People Tech 4.5% 2.5-7% 42%
Real Estate Tech 5.0% 3-8% 46%
Marketing / Adtech (this page) 5.2% 3-8% 47%
E-commerce / Retail SaaS 5.6% 3-8% 49%
B2C SaaS 6.7% 4-9% 56%
Media / Entertainment 7.2% 5-10% 58%
Edtech 7.8% 5-11% 62%

Monthly Churn Rate Distribution

Edtech
7.8%
Media / Entertainment
7.2%
B2C SaaS
6.7%
E-commerce / Retail SaaS
5.6%
Marketing / Adtech
5.2%
Real Estate Tech
5.0%
HR / People Tech
4.5%
Healthcare / Healthtech
4.1%
Logistics / Supply Chain
4.0%
B2B SaaS
3.9%
Developer Tools
3.8%
Fintech / Banking SaaS
3.2%
Cybersecurity
2.9%

Frequently Asked Questions

A good monthly churn rate for Marketing / Adtech is under 3.5%. The median across the industry is 5.2%, with a typical range of 3-8% monthly. Companies consistently above 6% should treat retention as an urgent priority.

Annual churn is calculated using compound monthly churn: Annual = 1 - (1 - monthly rate)^12. With Marketing / Adtech's 5.2% median monthly churn, this compounds to approximately 47% annually. This means roughly 47% of your customer base turns over each year without intervention. Use our churn rate calculator to compute your own.

The overall SaaS median monthly churn is approximately 4.7%. Marketing / Adtech at 5.2% is above average, reflecting the particular challenges this industry faces. The lowest-churn industry is cybersecurity at 2.9%, and the highest is edtech at 7.8%. Browse all industries on our churn rate by industry page.

If your churn rate is above 6% monthly, start by identifying the primary churn driver using our Churn Risk Quiz. Then use the Priority Finder to determine which retention lever to pull first. The recommended experiments above are specifically selected for Marketing / Adtech retention challenges.

Ready to beat the Marketing / Adtech benchmark?

Use our tools to calculate your exact churn rate, diagnose the root cause, and run experiments to bring it below 3.5% monthly.