Pricing
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Revenue Concentration Alert
Flags heavy concentration when a single plan carries more than 70 percent of revenue and recommends plan-mix moves—diversified portfolios grow at more than twice the rate of concentrated ones.
18.3 percent growth for diversified revenue portfolios versus 8.8 percent for concentrated ones
plan-level revenue mix across roughly 3,000 subscription companies in the billing dataset
Consistent effect across multiple independent deployments.
How we grade evidence →Threshold trigger · Edition 1 · June 2026
What is it?
When one plan carries most of the revenue, the company has a single point of failure dressed up as a flagship. The portfolio analysis behind this tactic found that companies with diversified revenue mixes grow at 18.3 percent against 8.8 percent for concentrated ones, and that gap compounds. Held for five years, 18.3 percent growth multiplies revenue roughly 2.3 times, while 8.8 percent reaches roughly 1.5 times. The tactic watches the plan-level revenue mix, and when a single plan crosses 70 percent of revenue, it flags the concentration and recommends the moves that would spread it.
The recommendations are grounded in observed usage rather than wishful tiering: which subscriber segments on the dominant plan match the usage profile of a different tier, and which structural gaps (a missing entry tier, an underweighted middle) funnel everyone onto one plan in the first place.
When it fires
The trigger is the threshold crossing: a single plan’s share of revenue rises through 70 percent. The tactic computes the mix on a rolling basis, so a one-month billing blip does not trip it. Sustained concentration does.
The flag clears at a lower line than the one it fired on, so a portfolio hovering at the boundary does not generate a monthly drumbeat of identical warnings. Once flagged, the tactic follows up only on a meaningful mix change in either direction.
What the evidence shows
The growth gap is the headline: 18.3 percent for diversified portfolios versus 8.8 percent for concentrated ones, measured across plan-level revenue mix in a billing dataset of roughly 3,000 subscription companies. At those rates the difference is not cosmetic. It compounds into roughly 2.3 times versus 1.5 times revenue over five years.
The honest caveat is direction: growing companies may diversify as they grow, rather than growing because they diversified. The pattern is graded strong, not causal. That is why the tactic nudges and recommends instead of migrating anyone, and why its suggestions lean on usage fit, where the downside of acting is small even if cause runs both ways.
How it runs
In production, the tactic maintains the rolling revenue mix from billing data, and on a threshold crossing assembles the diversification report: the concentration number, the typical mix at similar companies, the dominant-plan segments whose usage matches another tier, and the structural gaps in the catalog. The report goes to the operator by email, with a structured payload over webhook for internal dashboards.
Guardrails keep it a nudge: the tactic never migrates a subscriber or changes a plan, every recommendation names the usage evidence behind it, and nothing fires at all until the revenue base is large enough for mix percentages to mean something.
Run this for your business
Want to run Revenue Concentration Alert for your business? Connect the Churnkey MCP to your favorite AI agent. It reads your own usage and billing data and recommends the growth and retention plays most likely to move your LTV—starting with whether this one fits.
npm install -g @churnkey/mcpChurnkey's retention products run on the same dataset behind this tactic.
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Put the evidence to work.
The same dataset behind these tactics powers Churnkey's retention products. See what it finds in your subscription data.
