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Hero Image for Lob Deep Dives Blog PostWeekly direct mail monitoring: key KPIs for production successDirect Mail Q&A's
Direct Mail
January 30, 2026

Weekly direct mail monitoring: key KPIs for production success

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Direct mail performance depends on more than creative and targeting. It depends on operations, especially the stretch between production and the mailbox where timing, quality, and visibility can quietly drift. If you are not monitoring what happens after you hit send, you often discover issues only after delivery windows slip and teams are left explaining results without clear evidence.

A weekly KPI review gives you an early signal on production and delivery health. This guide covers the metrics worth tracking in Lob’s Production + Tracking, how to interpret what you are seeing over time, and what to do when something starts to move outside your normal range.

Why weekly KPI monitoring drives direct mail performance

When you run direct mail at scale, small issues can compound quickly. Weekly monitoring helps you spot drift early enough to protect timing, quality, and delivery reliability.

The goal is simple: make sure your dashboard signals match what is happening in the mailstream. If scan visibility slows down, if delivery timing spreads out, or if acceptance issues appear at induction, you cannot coordinate follow-ups confidently or explain performance shifts cleanly. Weekly reviews keep the focus on operational health so problems get addressed before your next drop.

Essential production KPIs to track every week

Scan latency

Scan latency is the delay between when a mail piece is scanned and when that scan appears in your dashboard or via webhooks. Latency matters when you coordinate mail with email or SMS, report status internally, or use scans to inform pacing.

Watch for sustained changes across campaigns. One spike can be noise. A pattern usually means something in your entry or visibility workflow needs attention.

In-home variance

In-home variance measures how close actual delivery timing is to your expected window, and how tight delivery timing is within a campaign. This KPI becomes critical when a wider window undermines time-sensitive offers or coordinated journeys.

If variance widens consistently, treat it as a signal to revisit timing assumptions and how you plan follow-ups around delivery.

Reprint rate

Reprint rate is the share of pieces that require reprinting due to production errors, damage, or data issues detected during the workflow. Reprints create two problems: added spend and disrupted timing.

If reprints rise, look for repeat patterns tied to specific creatives, templates, or data fields.

Acceptance rate

Acceptance rate measures how often mail is accepted by USPS without rejection or holds at induction. Acceptance issues often indicate problems upstream, such as formatting, barcode readiness, documentation, or presort preparation.

If acceptance drops, tracking can become less reliable and delivery timing can become harder to predict.

On-time delivery rate

On-time delivery rate reflects whether mail arrives within the delivery window you planned for. Stakeholders understand this metric immediately because it maps to a clear expectation about when mail should land.

If on-time performance slips, investigate whether it is isolated to a campaign type, format, or entry pattern before you adjust timelines broadly.

Mail piece delivery rate

Mail piece delivery rate is the share of pieces delivered versus returned. When delivery rate drops, list hygiene is often the first place to look.

If this KPI moves, tighten list readiness, including stronger address verification before your next send.

KPI What it measures What drift usually means
Scan latency Visibility lag Coordination risk
In-home variance Delivery consistency Timing predictability is weakening
Reprint rate Production rework Quality or data issues
Acceptance rate Induction success Formatting or prep issues
On-time delivery rate Window performance Campaign timing risk
Mail piece delivery rate Delivered vs returned List health risk

How to interpret tracking data

Focus on trends

One week can be noise. Two or three weeks moving the same way is usually a real signal worth action.

A lightweight way to do this is to record weekly KPI values and add one line of context, such as a new campaign type, new creative, or a shift in audience geography.

Use KPI pairs to diagnose faster

  • Scan latency and acceptance rate shifting together can point to entry or preparation issues
  • Reprint rate and on-time delivery shifting together often indicates rework affecting timing
  • In-home variance and on-time delivery together help distinguish predictable delay from inconsistent delivery windows
  • Delivery rate falling while other KPIs stay stable often points to list health rather than production

What to do when KPIs signal a problem

  1. Confirm scope. Is it one campaign, one format, or everything? One region or broad?
  2. Identify likely root cause. Data, production, induction, or delivery.
  3. Take corrective action. Fix the input causing the drift, not the symptom.
  4. Document changes. Capture what happened and what you changed so the team does not repeat the same issue.
  5. Track to recovery. A fix is not complete until the KPI returns to baseline and stays there.

Connect production health to campaign outcomes

Operational KPIs shape performance. Late delivery misses the response window. Reprints disrupt timing and create unplanned spend. Poor acceptance or delayed visibility makes coordination harder and measurement less reliable.

Pair weekly KPI monitoring with a consistent approach to measure the performance of direct mail campaigns so you can connect timing and delivery realities to outcomes.

Ready to monitor production and delivery in one place? Book a demo to explore Lob’s Production + Tracking capabilities.

FAQs about direct mail production KPIs

FAQs

How do you access production KPIs in Lob’s dashboard?

Lob’s dashboard displays production and delivery metrics in a unified view. You can filter by campaign, date range, or mail type to focus on specific KPIs, and set up webhook notifications for automated alerts.

What is the difference between scan latency and in-home variance?

Scan latency measures how quickly scan events become visible after they occur. In-home variance measures delivery timing consistency compared to your expected window.

How often should you review reprint rate compared to delivery metrics?

Review reprint rate weekly alongside delivery KPIs. Quality issues caught early can prevent downstream delivery problems and wasted spend.

Can you export Lob production data to business intelligence tools?

Yes. Lob integrates with major CRMs, CDPs, and analytics platforms, allowing you to export tracking data via API or webhooks and combine it with your other marketing metrics for unified reporting.

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