The 60‑Minute Competitor Pricing Tear‑Down: A Repeatable Workflow to Reveal Monetization Gaps

Begin by selecting 3–5 direct competitors that target your same buyer persona and one adjacent competitor (closer to premium or cheaper). Limit scope: too many targets dilutes insight in 60 minutes. Use the adjacent competitor to expose anchor and aspiration tiers.

Decide on your lens up front — are you evaluating price levels, feature positions, or packaging (seat vs. usage vs. flat)? That choice determines which columns you’ll populate in the teardown matrix and keeps the hour focused on actionable gaps.

Use a single Google Sheet with fixed columns: Competitor, Plan Name, Monthly Price, Annual Price, Unit (seat/usage), Core Features (brief), Locked Features (what’s only in higher tiers), Onboarding/Support level, Trial/Guarantee, Anchor copy (premium plan language), Visible discounts. Capture copy exactly where it speaks to value (e.g., “priority support”, “unlimited projects”).

Don’t overthink the cell contents — shorthand is fine. The goal is consistent structure so you can scan for patterns quickly. If a competitor hides pricing behind sales, record triggers (enterprise-only, demo required) — that’s itself a signal you might monetize via a low‑friction self-serve plan.

Score each competitor across a short list of signals: large feature gaps between tiers (big jumps in capability), frequent anchoring (premium plans used to justify mid tier), feature diffusion (same feature appearing across all tiers), and support mismatch (cheap plan but enterprise support promise). These signals map directly to opportunities: add a mid tier if jumps are wide; create an add‑on if a high‑value feature is only in enterprise.

Use this rule of thumb: if three or more competitors either (a) place the same critical feature behind a large price jump, (b) anchor with an obviously premium plan, or (c) gate pricing behind sales, you have a market signal that customers accept higher-priced buckets or premium anchors — and you can test charging more or packaging differently.

Translate the highest‑scoring signal into experiments you can run in 1–4 weeks. Example experiments: create a $X mid tier that fills a $Y gap; introduce a $Z add‑on for 'priority onboarding'; swap seat‑based unit for usage billing on a single plan to test willingness to pay. Each experiment should have a single metric: conversion lift at price, ARPU, or trial→paid conversion.

Keep experiments small and measurable. For an immediate A/B test on your pricing page, show the new mid tier vs. control to 20–40% of traffic. If the experiment requires product changes (new add‑on), use a gated beta with explicit pricing and a short onboarding to validate demand before a full rollout.

End the hour by writing one line per experiment: hypothesis, expected uplift, primary metric, owner, and next steps. Attach the filled matrix as the evidence appendix. This single page becomes your pricing sprint ticket — no more vague 'we should raise prices' conversations.

Schedule a short follow‑up: a 30‑minute check at week one and a results review at week four. Make the teardown part of your monthly competitive ritual — run it on one target vertical per month and keep a running sheet to detect drift and new anchors.