The 2026 Fiber D2D Benchmark Report

This report publishes operating benchmarks from our 2026 fiber deployments (1,600+ orders, 20+ markets, 15 states), because the industry has no honest public baseline for door-to-door fiber production. Headline figures: 3.3 orders per rep per selling day(blitz average), a roster effect that favors smaller teams of proven closers, and a repeatable launch-sequencing effect worth more than headcount. Every number follows the published methodology; snapshot date 2026-08-14.

Benchmark 1: Orders per rep per selling day

The 3× spread between best and slowest deployments in the same year, same company, same playbook is the most important row in the table: market conditions (footprint density, competitive picture, offer strength) move production more than rep talent. Treat any single-market number, including a great one, as a data point, not a promise.

Benchmark 2: Roster size vs. per-rep output

Same market, one month apart: the follow-up blitz ran 4.0 orders per rep per selling day versus 2.7 for the larger opening roster, a 48% lift with fewer people. Across the full deployment set, smaller rosters of proven closers consistently beat larger mixed rosters on per-rep production. Marginal reps consume territory and coaching bandwidth that stronger closers would convert. Capacity planning should count proven reps, not bodies.

Benchmark 3: Launch sequencing

In our Martinsburg / Charles Town launch, the second blitz produced 68% more orders than the first with a smaller roster: the compounding effect of refined territory cuts, a tuned pitch, and neighbors who had already signed up in round one. Sequenced deployments (blitz, learn, blitz, local team) outperform single large deployments on total market yield.

What we're not publishing yet

Door-level funnel benchmarks (doors/hour, conversation rates, knocks-per-order) are accumulating in our canvassing telemetry, which began recording in August 2026. There's early signal (19% of knock attempts became homeowner conversations in the first days of the Greater Boston deployment), but we won't benchmark from a small window. Those figures join this report when they cover full deployment cycles.

Using these numbers

If you're a provider: benchmark your current channel against the orders-per-rep-day table and, more importantly, ask your channel for its definitions: what counts as an order, what counts as a selling day, and whether voided records are excluded. If you can't get those definitions, that's the finding. If you're evaluating a sales job: any recruiter quoting production without definitions is quoting marketing, not math.