Content Marketing ROI Calculator

Calculate the true value of your content program. See your content library as a compounding asset, compare against paid ads, and get a report card with actionable reallocation advice. Free, no signup.

Last reviewed: March 2026

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Global Settings

Content Types

Content TypeMonthly CostPieces/MoTraffic/MoLeads/MoHalf-LifeCPLROIVerdict
$13313%? Reevaluate
$188-20% Kill It
$750-80% Kill It
$50200% Keep Going

Existing Content Library

HEALTHY
Content Library Value
$0
NPV of projected organic traffic
12-Month Content ROI
0%
vs -74% paid ads equivalent
Crossover Month
Month 0
Content beats paid ads

Strong content program — compounding returns are accelerating

Content vs Paid Ads — Cumulative Value

CROSSOVER: Month 2

Content Pareto — Lead Contribution vs Cost

Blog / SEO
41%
41% leads / 29% cost
Newsletter
27%
27% leads / 7% cost
Case Studies
22%
22% leads / 21% cost
Video / YouTube
11%
11% leads / 43% cost

Content Program Report Card

C+
Overall Grade
D
Production Efficiency
F
Lead Generation
A+
Traffic Growth
B
Content ROI
A
Library Health
B
Diversification

Content Library Health

AHealth
41
Active (82%)
13
Decaying
0
Dead
Refresh 13 old pieces to recover ~$9.2K/yr in content revenue.

Content Mix Advisor

rebalanceVideo / YouTube → Newsletter

Move 50% of Video / YouTube budget ($1,500/mo) to Newsletter: +28 net leads/mo

What-If Optimizer

$-255.9K
+0% → $-255.9K/yr
$-255.9K
+0% conversion → $-255.9K/yr
$-255.9K
$0/mo promo → $-255.9K/yr net
$0
0 refreshed/mo → $0/yr
Combined potential:$-767.6K/yr
Biggest lever: Content refresh$0/yr

Reverse Content Calculator

You need ~36 pieces/month at $19,385/mo budget. At current pace, ~2 months to reach target.

Scenario Compare

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How This Content ROI Calculator Works

This tool models content marketing as a compounding asset, not a monthly expense. Each content piece generates decaying traffic over time based on its type-specific half-life (blog: 24 months, video: 36 months, newsletter: 1 month). The aggregate traffic compounds as you publish more content, creating the “content flywheel” effect.

  1. Add your content types and monthly costs, traffic, and lead data.
  2. Enter conversion rate and deal value to calculate revenue from content leads.
  3. Set paid ad spend for the content vs paid ads comparison.
  4. Add your existing library — total pieces, average age, and current traffic.
  5. Review the dashboard — library value, ROI, crossover chart, and report card grades.

Why Content Compounds (and Paid Ads Don't)

The fundamental difference between content and paid advertising is compounding. When you stop paying for ads, traffic stops immediately. But a blog post published 12 months ago still generates organic search traffic today — at zero marginal cost. A library of 200 posts generates traffic while you sleep. This calculator makes the compounding visible: the crossover chart shows the exact month when cumulative content ROI surpasses cumulative paid ads ROI. For well-executed programs, this typically happens between months 6 and 12.

Content Half-Lives by Type

Content TypeHalf-LifeWhy
Blog / SEO24 monthsEvergreen organic search — long-tail traffic compounding
Video / YouTube36 monthsYouTube recommendation algorithm compounds views over time
Podcast18 monthsEpisode libraries have diminishing but persistent listenership
Case Study12 monthsRelevant while company/product/results are current
Ebook / Whitepaper18 monthsGated content searched and shared for 1-2 years
Infographic8 monthsShared and embedded, moderate backlink tail
Webinar6 monthsLive events decay fast, recording has modest tail
Newsletter1 monthConsumed once, no organic discovery
Social Media2 weeks12-hour effective lifespan in feeds

Content Report Card — 6 Dimensions

Production Efficiency
Cost per piece vs industry benchmarks
Lead Generation
Blended CPL vs industry benchmark
Traffic Growth
Month 12 vs month 1 projected traffic
Content ROI
Overall ROI vs industry average
Library Health
% of pieces still generating traffic
Diversification
Lead concentration risk (HHI index)

Frequently Asked Questions

What is a good content marketing ROI?

A good content marketing ROI is 300–500% ($3–5 per $1 spent). Top programs achieve 600%+. Industry benchmarks from FirstPageSage and Content Marketing Institute show B2B averages ranging from 317% to 800%+ depending on vertical and content quality. Unlike paid ads, content ROI compounds — month 12 can exceed 500% even if month 1 is negative.

How long does content marketing take to work?

6–12 months for positive ROI. Blog posts take 3–6 months to rank. The compounding effect means month 12 traffic is 3–5× month 1 at no extra cost. The crossover chart shows exactly when content beats paid.

Is content marketing worth it?

For most businesses, yes. Content compounds while paid ads don't — stop paying for ads, traffic stops. Stop publishing, existing content keeps generating traffic. The crossover point is typically months 6–12.

What is content library asset value?

The NPV (Net Present Value) of future organic traffic revenue from your content library. Unlike ad spend (an expense), published content is an asset that generates returns for months or years.

How much should I spend on content marketing?

B2B SaaS: $4–8K/mo for a serious program. Startups: $1–3K/mo minimum. The reverse calculator shows exact budget needed for your target leads, ROI, or breakeven timeline.

What is the average content marketing cost per lead?

Content CPL varies by type and industry: blog posts $30–150 (B2B SaaS), webinars $20–120, case studies $40–200, video $80–350. Content CPL is typically 30–60% lower than paid advertising CPL because organic traffic has zero marginal cost per visitor once published.

What content types have the best ROI?

Blog/SEO content typically has the best ROI due to long half-life (24 months) and compounding organic traffic. Case studies convert at high rates. Video has the longest half-life (36 months) but highest production cost.

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Last updated: March 2026. Content ROI benchmarks from Content Marketing Institute, HubSpot, and FirstPageSage. Content decay half-life values are modeled from observed organic traffic patterns across content type research; individual results vary by domain, niche, and publication cadence.