I run pricing teardowns for clients on a weekly basis. They’re one of my favorite exercises because they’re practical, fast and—when combined with a sensible test plan—can unlock meaningful increases in average deal size without a full product overhaul. Below I’ll walk you through a repeatable process to analyze competitor pricing, extract what matters, and build three testable pricing tiers that you can validate quickly.

Why a competitor pricing teardown matters

Most teams either copy a competitor’s price list verbatim or ignore it entirely. Both approaches miss the point. A teardown helps you understand not only price points, but the positioning, value anchors and friction points embedded in competitor packaging. When you combine that intel with your own usage and unit economics, you can create tiered offers that nudge prospects toward higher-value choices—without needing to raise prices across the board.

How I run a pricing teardown (step-by-step)

I break the teardown into three phases: data collection, pattern extraction, and hypothesis generation. This workflow takes 2–6 hours for most markets and gives you a test plan by the end of the session.

Data collection — build a competitor price map

  • Identify the 6–8 closest competitors: direct, adjacent and aspirational. Include SaaS tools, agencies or product bundles if they’re where your customers compare.
  • Capture list prices, billing cadence (monthly vs annual), and any entry thresholds (minimum seats, usage units).
  • Snapshot packaging language for each tier: features, limits, SLAs, support and onboarding promises. Copy the exact wording—these are positioning signals.
  • Collect promotional offers, trial terms, and refund windows. Note any hidden add-ons (migration fees, integrations, premium support).
  • Save screenshots and links in a single doc or Airtable for easy referencing.

    • Pattern extraction — translate raw data into insights

  • Find price clusters. Do most vendors sit at three price clusters (e.g., $29/$99/$299)? That’s a clear market anchor.
  • Map feature progression. What do competitors reserve for top tiers? Common patterns: unlimited users, advanced security, integrations, SLA, white-glove onboarding.
  • Spot value anchors. Look for language like “best for teams”, “enterprise-grade”, or “recommended”. These are nudges that increase conversion to that tier.
  • Identify friction points and gaps: frequent add-ons, confusing limits, or missing mid-market options.

    • Hypothesis generation — the design lab

  • Create 6–8 hypotheses about what will move average deal size. Examples: “Offering a mid-tier with integration credit will convert 10% of Basic signups to Pro”; or “Bundling onboarding at a reduced one-time cost increases deal value by 20%.”
  • Prioritize hypotheses by impact and ease: use ICE (Impact, Confidence, Ease) or a simple scorecard.

    • Designing three testable tiers

    I recommend starting with three tiers: Entry, Growth, and Scale. Each should be clearly differentiated by target persona, primary value metric and a single compelling upgrade driver.

    Tier anatomy

  • Entry — lowest friction, obvious value, designed to convert and collect usage/lead data. Limit advanced features and integrations. Offer self-serve onboarding and email support.
  • Growth — sweet spot for upsell. Include the primary integration, a usage buffer, and a feature that solves a common pain point. Add limited phone support or shorter SLAs.
  • Scale — premium offering for larger customers. Include white-glove onboarding, advanced integrations, custom reporting, and an SLA. Price as a premium multiple of Growth (commonly 2–4x).

    • Example pricing table (illustrative):

    TierPrice (monthly)Target customerKey upgrade driver
    Entry$29Solo/freelancerFree trial, simple onboarding
    Growth$99Small teamsIntegrations + automation
    Scale$299Mid-marketDedicated onboarding + SLA

    How to set price gaps and anchors

    Use competitor clusters and your unit economics to pick gaps. A simple rule I use:

  • Entry to Growth: 2–4x price increase (makes Growth feel like a step up in value)
  • Growth to Scale: 2–3x price increase (creates a premium tier that’s aspirational)

    • Anchoring techniques:

  • Use a “Most Popular” badge on Growth to drive choice architecture.
  • Show monthly vs annual prices with a clear % savings. Annual discounts should move customers toward commitment, not erode margin excessively.
  • Display feature comparison with checkmarks and micro-copy that shows the business outcome (not just features).

    • Designing experiments to validate tiers

    Don’t rework the entire billing model in one go. Run small, measurable experiments:

  • A/B test pricing page copy: current page vs page with new tiers and “Most Popular” highlight.
  • Price anchoring test: show Scale at a higher list price but offer a promotion that makes Growth appear better value.
  • Bundle test: introduce a limited-time bundled onboarding credit for Growth and measure change in average order value and LTV over 3 months.
  • Sales enablement pilot: equip the sales team with a one-page playbook for upsells to Growth and track conversion from demo to Growth deal.

    • Track these KPIs:

  • Average deal size (monthly/annual)
  • Conversion rate by tier (trial → Entry, trial → Growth)
  • Upsell rate (Entry → Growth within 90 days)
  • Churn by tier
  • Customer acquisition cost (CAC) and payback period changes

    • Common pitfalls and how I avoid them

    A few things I see teams do that kill experiments:

  • Overloading tiers with too many features. Keep each tier focused on a single buyer job.
  • Ignoring sales motions. If you have a sales team, involve them early—your pricing must align with how they sell.
  • Making annual discounts too steep. Big discounts hide structural pricing problems and reduce flexibility.
  • Relying solely on qualitative feedback. Use qualitative signals to refine hypotheses, but rely on conversion and revenue metrics to decide.

    • What I test first (practical quick wins)

    Start with the lowest-effort, highest-impact tests:

  • Introduce a “Most Popular” badge on the mid-tier and measure shifts in choice share.
  • Create a mid-market Growth tier if you currently have only two plans—this often captures customers who previously bought the cheaper plan but needed one or two pro features.
  • Bundle a one-time implementation fee into higher tiers at a discount—this moves revenue forward without changing recurring pricing.

    • When I ran this on a SaaS growth client, introducing a clearly-priced Growth tier and a “Most Popular” anchor increased average initial ARR by 27% within 60 days. The key was tight messaging and a simple onboarding credit that addressed the main buyer objection: time to value.

    If you want, I can produce a teardown template you can use (Airtable + screenshots checklist + a test plan). Tell me what market you’re in and I’ll sketch the first pass of three tiers tailored to your unit economics and competitor landscape.