Content Traffic Goal Calculator

What this number means

The four outputs describe a complete publishing plan. Articles needed is the size of the portfolio; months of publishing is how long it takes to write it; total investment is what it costs; and month target traffic is reached is when the traffic actually shows up.

The critical insight is the gap between the second and fourth numbers. Publishing 250 articles at 8 per month takes 32 months — but traffic arrives even later, because each article needs months to climb the rankings. Content programs fail when teams budget for the publishing timeline and forget the ranking timeline.

With the defaults, the curve reaches roughly 68,800 monthly visitors by month 24 against a 100,000 target: an honest signal that this goal, at this velocity, is a three-year program, not a one-year one.

The formula

In plain English: divide your traffic target by what one mature article earns to get the article count; divide that by your publishing speed to get the timeline; multiply by cost per article for the budget. Then simulate every article's traffic ramp, month by month, to find when the target is actually reached.

Articles needed = ⌈ Target monthly visitors ÷ Avg. visitors per post ⌉
Months of publishing = ⌈ Articles needed ÷ Posts per month ⌉
Total investment = Articles needed × Cost per post
Monthly traffic (month t) = Σ_cohorts posts × avg. visitors × min(age ÷ ramp months, 1)

Each monthly publishing cohort ramps linearly from zero to full traffic over the ramp period. The chart sums all live cohorts each month for 24 months; publishing stops once the article target is reached.

Worked example

A marketing team targets 100,000 monthly organic visitors. Their articles average 400 visitors per month once mature, they publish 8 posts per month at $300 per post, and articles take about 6 months to reach full traffic.

• Articles needed = ⌈100,000 ÷ 400⌉ = 250
• Months of publishing = ⌈250 ÷ 8⌉ = 32
• Total investment = 250 × $300 = $75,000
• Month 6 traffic ≈ 11,200; month 12 ≈ 30,400; month 24 ≈ 68,800 — still short of 100,000

The honest read: the content is worth building, but at this velocity the traffic goal lands in year three. To hit 100,000 sooner they must publish faster, target higher-traffic topics, or accept a longer horizon.

Assumptions and limitations

• The linear ramp is a simplification. Real articles often sit flat for months then jump with a ranking breakthrough. The ramp models the average, not any single post.
• Average visitors per post varies widely by topic, competition, and intent. Base it on your own Search Console data (total clicks ÷ ranking URLs), not industry folklore. The default 400 suits low-competition long-tail; competitive B2B terms often earn less per post.
• It assumes consistent quality and cadence. Skipped months, thin content, or shifting topics all push the curve right.
• It does not model decay. Old articles lose traffic to competitors and freshness updates; long-run programs need refreshing, not just publishing.
• Publishing stops at the article target in this model. Continuing to publish past the target reaches the goal sooner.
• All figures are planning estimates, not guarantees of traffic or rankings.