Technical Deliverability Analysis

When Microsoft throttles or Gmail diverts, you need a defensible diagnosis.

I analyze headers, authentication, reputation, routing, and sending practice as one system. That includes GMX/WEB.DE rejections, Microsoft 550 5.7.515, RP-001 / RP-002 / RP-003, Gmail compliance, and alignment failures. You get prioritized actions, clear measurement criteria, and support in technically stabilizing your email setup.

  • Microsoft throttling, Outlook/Microsoft 550 5.7.515, and RP-001 / RP-002 / RP-003
  • Gmail bulk sender compliance, spam rate, one-click unsubscribe, and DMARC alignment
  • IP and domain warm-up, list quality, engagement, and reputation recovery

Typical problems I help with

Microsoft blocks or throttles

I review 550 5.7.515, RP-001, RP-002, RP-003, deferrals, rate limits, SNDS/JMRP signals, and authentication issues.

Gmail compliance is unclear

I check SPF, DKIM, DMARC, alignment, spam rate, one-click unsubscribe, and bulk sender requirements.

Warm-up is unstable

I structure the ramp-up by provider, stream, domain, IP, and engagement, with limits for volume, pauses, segmentation, and escalation.

Delivery rate looks fine, but inbox placement does not

I separate technical acceptance from inbox placement, spam foldering, Promotions tab behavior, and missing-mail signals.

DMARC, DKIM, or SPF look correct on paper, but not in practice

I review headers, return path, From domain, DKIM selectors, alignment, and forwarding or ARC side effects.

Provider signals drop after a migration or ESP switch

I look at routing, signing, IP and domain reputation, bounce patterns, and stream changes after technical cutovers.

Choose the right next step

Three practical ways to start, depending on how much evidence you already have.

30-Minute Quick Check

Clarify where the actual bottleneck is

We look at whether the problem starts with authentication, reputation, routing, warm-up, or sending practice. You leave with a short list of sensible next steps.

Request Quick Check
Request Header Analysis

Start with evidence from a real message

Send one full header and one or two bounce examples. I check the likely causes and tell you what should be verified next.

Please include full headers and complete bounce messages, not shortened ticket excerpts.

Request Header Analysis
DMARC / Alignment Review

Check whether your sending domain fits together

I check whether SPF, DKIM, DMARC, visible sender identity, and the real sending path line up cleanly.

Request Review

Metrics instead of guesswork

Deliverability problems should be evaluated through concrete signals, not through a generic delivery rate alone.

I distinguish between technical acceptance, inbox placement, spam foldering, Promotions tab placement, deferrals, and true rejects. That is the only way to tell whether a problem was actually solved or merely made invisible in reporting.

Important: delivery rate does not automatically mean inbox placement. A message can be technically accepted and still land in spam, get filtered into Promotions, or remain effectively invisible to the recipient.

Reject rate

Shows how often providers reject a message immediately. It separates true acceptance failures from later placement or engagement issues.

Deferral / throttling rate

Shows how often providers delay, throttle, or temporarily defer delivery. That is often a reputation, volume, or rate-control signal rather than a final reject.

Hard bounce rate

Shows permanent undeliverability, for example because a recipient does not exist or a provider issues a hard refusal. It matters for list quality, data hygiene, and risk evaluation.

Inbox placement rate

Describes how often messages actually reach the inbox. This metric is not the same as technical acceptance or a high delivery rate.

Spam rate

Describes complaint and spam signals that providers directly use in reputation scoring. It influences acceptance, throttling, and inbox placement.

Authentication failures

Captures failures in SPF, DKIM, DMARC, or related checks. These failures can trigger acceptance issues, reputation loss, or incorrect security classification.

DMARC / DKIM / SPF alignment

Shows whether visible sender identity, return path, and signatures actually fit together. Formal configuration alone is not enough if alignment breaks in the real sending path.

Provider-specific error codes

Codes from Microsoft, Gmail, GMX/WEB.DE, and other providers help separate patterns cleanly. They show whether volume, reputation, policy, or authentication is the real cause.

Time to stabilize

Describes how long signals and behavior need to settle after a change. It shows whether a remediation is durable or only looks good for a short time.

Sending volume by domain, stream, and provider

A split by sending domain, use case, and destination provider shows where risk is actually created. Without that segmentation, local problems easily disappear inside aggregated reports.

Services

Defined pieces of work with a clear scope, concrete inputs, and usable output.

Deliverability Audit

Review of authentication, infrastructure, reputation, sending patterns, list quality, and provider signals. The result is a technical assessment with a prioritized action plan for IT, CRM, and marketing.

Typical inputs

DNS records, sample headers, bounce logs, provider dashboards, routing details, sending volumes, and segmentation logic.

Result / output

Technical findings, risk assessment, prioritized actions, and a worklist split by platform, team, or stream.

Often useful when

Teams that need a reliable baseline before remediation, migration, scaling, or internal alignment.

Microsoft Incident Review

Analysis of Microsoft and Outlook issues such as 550 5.7.515, RP-001, RP-002, RP-003, deferrals, rate limits, SNDS/JMRP signals, and authentication paths.

Typical inputs

SMTP logs, sample headers, retry timing, SNDS and JMRP data, IP and domain inventory, and sending-path details.

Result / output

Incident review, root-cause hypotheses, validation steps, and a prioritized remediation sequence for Microsoft-specific failure modes.

Often useful when

Teams with acute Microsoft delivery problems, recurring throttling, or unexplained Outlook acceptance instability.

Gmail Compliance Check

Review of current Gmail bulk sender requirements: SPF, DKIM, DMARC, alignment, spam rate, one-click unsubscribe, unsubscribe processing, and problematic sending patterns.

Typical inputs

Headers, DNS records, complaint metrics, unsubscribe flow, campaign samples, and Gmail Postmaster or ESP reporting.

Result / output

Gap analysis against Gmail requirements, compliance risks, and a concrete remediation checklist for technical and operational changes.

Often useful when

Bulk senders, CRM teams, and operators who need to reduce Gmail risk before or after deliverability issues appear.

IP and Domain Warm-up

Ramp-up plan for new IPs, domains, streams, or ESP and MTA migrations. It accounts for providers, volume, engagement, pauses, segmentation, and warning signals.

Typical inputs

Target providers, expected volume, stream split, engagement data, domain plan, migration timeline, and sending constraints.

Result / output

Provider-aware ramp-up schedule, guardrails for pace changes, and decision criteria for pauses, rollbacks, or escalation.

Often useful when

Teams launching new infrastructure, moving providers, or separating transactional and marketing streams safely.

DMARC and Alignment Review

Review of SPF, DKIM, DMARC, Header From, Return-Path, DKIM d= domain, subdomain strategy, and policy risks.

Typical inputs

DNS records, sample headers from each stream, vendor inventory, forwarding scenarios, and current DMARC policy design.

Result / output

Alignment review, policy-risk assessment, and clear actions for DNS, signing, delegation, and stream ownership.

Often useful when

Organizations with multi-vendor sending, DMARC rollout plans, or recurring confusion around aligned identity.

Ongoing Monitoring

Definition and setup of monitoring for rejects, deferrals, hard bounces, spam rate, authentication failures, and provider-specific anomalies.

Typical inputs

Available logs, webhook or event sources, provider dashboards, ownership model, escalation paths, and current reporting gaps.

Result / output

Monitoring design, event taxonomy, threshold proposal, and an implementation-ready view of what to track and alert on.

Often useful when

Teams that want earlier detection of deliverability regressions and clearer operational ownership across systems.

Who I work with

Teams where email is operational infrastructure, not just a campaign channel.

SaaS Platforms

When product mail, lifecycle mail, and marketing mail share risk, I help separate streams, domains, authentication, and monitoring.

Newsletter Senders

When campaigns are accepted but inbox placement, spam complaints, or engagement signals fall off, I look at the technical and list-side causes.

E-Commerce

When promotions, triggered flows, and transactional mail run at the same time, I help structure streams, volume, domains, and guardrails.

Agencies

When several clients, ESPs, and sending domains are in play, I help sort the signals and turn them into a workable sequence.

High-Volume Platforms

When small configuration mistakes create immediate pressure, I help check authentication, routing, rate shaping, monitoring, and rollback paths.

About

I’m Vitali Quiering — Email Deliverability Manager & DevOps. I combine hands‑on DNS engineering with deliverability operations to design resilient, auditable setups that keep mail deliverable and sender reputation stable.

  • Holistic DNS architecture for email: subdomain strategy, vendor isolation, scoped delegation
  • Authentication & alignment: DMARC, SPF, DKIM, BIMI — policies that survive stack changes
  • Sending architecture: IP/domain strategy, warm‑up, throughput & rate control
  • Inbox placement: reputation signals, Postmaster tooling, CFBL handling
  • Bounces & complaints: taxonomy, remediation, loop integrations
  • Monitoring & SLOs: dashboards, alerting, error trend analysis
  • Change control & resilience: rollback plans, TTL strategy, key rotation
  • Compliance & risk: consent, data minimization, incident playbooks

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