How the numbers were built

For each line of business, the calculator computes the gap between your current penetration and a best-in-class benchmark, multiplies the affected clients by an average premium and commission rate, and sums the annual commission at risk. Three capture scenarios, 5% (conservative), 10% (moderate), 15% (aggressive) of the identified gap, bracket what's realistic over 12 months. Difficulty ratings are based on how close current penetration is to the median. Peer-percentile framing uses the revenue tier you selected.

The 5% / 10% / 15% capture rates are the single most trust-critical constants in the model, the top-line dollar figure moves proportionally with them. None of them come from a published dataset. They're founder-team estimates anchored to observed cross-sell pilots at smaller Canadian brokerages. Treat the moderate scenario as the midpoint of a wide sensitivity band, not a guarantee.

For each geography, this is every LOB benchmark the calculator uses, the source we assign it, and how much confidence we have in the specific value. Numbers marked internal estimate are ours, not IIABA, not Reagan, not J.D. Power. Do not defend them to a CFO as external data.

• Big I / Reagan Consulting 2025 Best Practices Study
  https://www.reaganconsulting.com/best-practices-study/

  Directional data on organic-growth + producer productivity across US independent brokerages.

• IIABA 2025 Best Practices report
  https://www.independentagent.com/Education/Research/BestPractices/Pages/default.aspx

  Retention rates + policies-per-client benchmarks. US-centric, Canadian numbers extrapolated.

• J.D. Power 2025 Insurance Studies
  https://www.jdpower.com/business/insurance

  Renewal + satisfaction data used for retention framing.

• Insureon 2025 SMB Insurance Report
  https://www.insureon.com/small-business-insurance/statistics

  SMB pricing bands for EPLI + cyber.

• S&P Global Ratings, Cyber Insurance 2025

  Cyber SMB penetration ranges.

• Swiss Re Sigma, 2025 world insurance
  https://www.swissre.com/institute/research/sigma-research.html

  Global commercial + cyber context.

• Insurance Information Institute (III)
  https://www.iii.org/

  Retention + household policy counts.

• Insurance Brokers Association of Ontario (IBAO)
  https://www.ibao.org/

  Canadian brokerage context, used for framing, not per-number citations.

• Bindry internal estimate (draft, 2026)

  Founder-team best guess based on informal broker interviews. Not audited against a published dataset.

• A quote. It doesn't know your carriers, your appetite, or the specific accounts in your book.
• A precise projection. The capture rates are ranges; treat the sensitivity band on the executive summary as the honest read.
• Externally audited. Bindry hasn't hired an actuary to sign off on the benchmark file. Where our internal estimates are load-bearing (cyber best-in-class, personal umbrella targets, group benefits), we flag them individually here and per-opportunity in the report.
• Comparable to your last year's books. Book-specific commission math from your BMS is more accurate for your firm, this tool is calibrated to what the median brokerage looks like, then adjusted to your inputs.

If a number here looks wrong, tell us. Bindry is early enough that the benchmark file gets tuned on real broker feedback rather than on a schedule. hello@bindry.io