You cannot improve what you do not measure. Most D2D sales managers track revenue and maybe close rate. That is like driving a car by only looking at the speedometer. You need the full dashboard: fuel level, engine temperature, RPMs. In door-to-door sales, that dashboard is seven metrics that tell you exactly where your operation is strong and where it is leaking money.
Here are the seven KPIs that matter, how to calculate each one, what good looks like, and how to use the data to coach your team.
Total doors a rep physically knocks in a single shift. Count every door, including no-answers.
Good benchmark: 40–80 doors per day for a 4–5 hour shift. Top reps hit 80–100+.
This is the foundation metric. Everything downstream depends on volume. A rep who knocks 30 doors a day will never outperform a rep who knocks 70, even if the first rep has a higher close rate. The math does not work.
Low door count usually means one of three things: the rep is spending too long at each door, they are cherry-picking houses, or they are not working their full shift. Check GPS data in your D2D sales app to see if they are actually moving through the territory.
Doors where someone answered ÷ Total doors knocked × 100
Good benchmark: 30–50%. This varies heavily by time of day and day of week.
Contact rate tells you whether your team is knocking at the right times. If your contact rate is below 25%, your reps are probably knocking during work hours when nobody is home. The sweet spot for residential D2D is 3 PM to 8 PM on weekdays and 10 AM to 2 PM on Saturdays.
Contact rate also varies by territory. Retirement communities have higher daytime contact rates. Suburbs with dual-income families are empty until evening. Use the data to match your knocking schedule to your territory demographics.
Doors where the rep delivered a full pitch ÷ Doors where someone answered × 100
Good benchmark: 40–60% of contacts should hear the full pitch.
Pitch rate measures your team's ability to get past the opening and into the conversation. If contacts are high but pitch rate is low, the problem is in the first 15 seconds. The rep's opening line is not compelling enough to keep the door open.
This is where script optimization has the biggest impact. A/B test different openings: track which script each rep uses and compare pitch rates. When you find a winner, roll it out to the whole team. Even a 10% improvement in pitch rate compounds dramatically over thousands of doors.
Deals closed ÷ Full pitches delivered × 100
Good benchmark: 10–25% of pitches result in a close, depending on industry.
Close rate is what everyone obsesses over, but it is actually the last lever to pull. If your reps are not knocking enough doors (low volume) or not getting past the opening (low pitch rate), improving close rate will not save the numbers.
That said, close rate is where you separate good reps from great ones. The difference is usually in objection handling and closing technique. Role-play objections at your morning meeting. Record successful closes and share them with the team. If a rep's close rate is below 10%, ride along with them and listen to their pitch — the fix is almost always in the last two minutes of the conversation.
Industry benchmarks vary. Pest control teams typically see 15–25% close rates because the ticket is low. Roofing is lower (5–15%) because the commitment is much higher.
Total revenue generated ÷ Total doors knocked
Good benchmark: Varies by industry. For pest control, $3–$8 per door. For roofing, $15–$50 per door. For solar, $20–$60 per door.
Revenue per door is the single most important efficiency metric. It combines volume, contact rate, pitch rate, close rate, and average deal size into one number. If this number is going up, your operation is improving. If it is flat or declining, something in the funnel is broken.
Use revenue per door to compare territories. If Territory A generates $6 per door and Territory B generates $2 per door, either Territory B is a weaker market or the reps assigned there need coaching. Cross-reference with the other metrics to find the root cause.
(Rep compensation + vehicle/gas + app/tools + management overhead) ÷ Number of deals closed
Good benchmark: Your CPA should be no more than 20–30% of your average deal value.
CPA tells you whether your D2D operation is profitable. A rep who closes 3 deals a day at $300 each generates $900 in revenue. If that rep costs you $200 a day (pay + gas + tools), your CPA is about $67 per deal. That is healthy. A rep who closes 1 deal a day at $300 with the same costs has a CPA of $200 — barely breaking even.
CPA is also how you evaluate whether to hire more reps or invest in better territories. If your CPA is climbing, adding reps will not help. Fix the efficiency first. If your CPA is low and stable, scale up.
Reps still active after 90 days ÷ Total reps hired × 100
Good benchmark: 40–60% at 90 days. Top teams hit 60%+.
This is the metric most managers ignore, and it is the one costing them the most money. Recruiting, training, and onboarding a new rep costs $1,000 to $3,000 in time and resources. If half your reps quit in the first month, you are burning cash on a revolving door.
Low retention is almost always a training and culture problem, not a hiring problem. Reps leave because they were not prepared (bad training), they do not feel supported (no coaching), or they do not see a path to earning (bad territories or unrealistic expectations). Fix those three things and retention improves dramatically.
Track retention by cohort: which month's hires stick around longest? Then look at what was different about their training, their manager, and their territory assignment.
When a rep is underperforming, the metrics tell you exactly where the problem is. Here is the diagnostic framework:
This diagnostic approach is faster and more effective than generic "you need to sell more" coaching. It turns vague feedback into specific, actionable steps.
You do not need a complex BI tool. You need your reps logging every door in real time (a D2D sales app like KnockRoute handles this automatically), and you need a weekly review rhythm where you look at each rep's numbers across all seven metrics.
Start with a weekly team meeting where you review the leaderboard. Share the top performer's numbers. Identify one metric the team will focus on improving that week. Keep it simple, keep it consistent, and let the data drive your decisions.
The teams that track these seven metrics outperform the ones running blind. Not because the metrics are magic, but because they turn gut feelings into facts and facts into focused action.
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