Pricing
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Plan Structure Review
Benchmarks a company’s plan structure against peers with similar growth profiles and recommends structural changes (entry tier, mid-tier weighting, dead-zone exposure) as an advisory report.
plan structure explains 94 percent of the variation in growth among companies with similar growth profiles
plan catalogs and growth histories across roughly 3,000 subscription companies in the billing dataset
Consistent effect across multiple independent deployments.
How we grade evidence →Scheduled trigger · Edition 1 · June 2026
What is it?
Most pricing pages are archaeology: a tier added for one big deal, an entry plan nobody revisited, a middle that grew by accretion. The benchmark analysis behind this tactic says structure is not cosmetic. Among companies with similar growth profiles, plan structure explains 94 percent of the variation in growth. The tactic reads the company’s plan catalog, compares its architecture against the structures of similar growers, and reports where it diverges: whether an entry tier exists and where it sits, how much weight the middle carries, and how much of the catalog lands in the $50–$100 dead zone, where 88 percent of subscribers eventually churn.
The tactic is advisory by design. Pricing is a decision the operator owns, and the direction of causation between structure and growth is not settled, which is why the tactic produces a benchmarked report with specific recommendations rather than touching a single price itself.
When it fires
The tactic runs on a schedule: a periodic benchmark pass that re-reads the plan catalog and the peer group. Plan structure drifts slowly, so the cadence is quarterly by default. The operator can tighten it after a pricing change to watch the structure settle.
It also delivers an off-cycle report when the catalog changes materially: a new tier, a retired plan, a price move that shifts dead-zone exposure. Structure gets reviewed when it changes, not only when someone remembers to ask.
What the evidence shows
The headline finding is the strength of the structural relationship: plan structure explains 94 percent of the variation in growth among similar growers, measured across the platform’s billing dataset of roughly 3,000 subscription companies. Supporting findings fill in the mechanics. Roughly 82 percent of company pricing sits suboptimally against similar-vertical peers, and the $50–$100 dead zone carries 88 percent churn across 628,000 subscribers.
The honest caveat is causation. Companies with strong structures may grow because of the structure, or strong growers may converge on similar structures. The evidence is graded strong rather than causal for that reason, which is also why the tactic recommends and benchmarks rather than acting on its own.
How it runs
In production, the tactic assembles the peer group from companies with similar growth profiles, scores the company’s plan structure against the group’s, and delivers a report by email to the operator and as a structured payload over webhook for teams that route it into their own tooling. Each recommendation names the structural gap, the peer pattern, and the specific change that would close it.
Guardrails keep it advisory: the tactic never writes a price or plan change, never publishes a benchmark from a peer group too small to be meaningful, and labels every comparison with the size of the peer group behind it.
Run this for your business
Want to run Plan Structure Review 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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Right-Plan Recommendations
Reads each subscriber’s usage against vertical benchmarks and recommends the closest-fit plan at signup, upgrade, and save.
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Discount Guardian
Standardizes every discount on the structure with causal evidence behind it, substituting a forever-percent discount at the moment any discount is created.
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Monthly-to-Annual Conversion
Converts monthly subscribers to an annual plan at the moment they are most likely to commit, pairing the new term with a forever-percent discount.
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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.
