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.
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.
I review 550 5.7.515, RP-001, RP-002, RP-003, deferrals, rate limits, SNDS/JMRP signals, and authentication issues.
I check SPF, DKIM, DMARC, alignment, spam rate, one-click unsubscribe, and bulk sender requirements.
I structure the ramp-up by provider, stream, domain, IP, and engagement, with limits for volume, pauses, segmentation, and escalation.
I separate technical acceptance from inbox placement, spam foldering, Promotions tab behavior, and missing-mail signals.
I review headers, return path, From domain, DKIM selectors, alignment, and forwarding or ARC side effects.
I look at routing, signing, IP and domain reputation, bounce patterns, and stream changes after technical cutovers.
Three practical ways to start, depending on how much evidence you already have.
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 CheckSend 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 AnalysisI check whether SPF, DKIM, DMARC, visible sender identity, and the real sending path line up cleanly.
Request ReviewDeliverability 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.
Shows how often providers reject a message immediately. It separates true acceptance failures from later placement or engagement issues.
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.
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.
Describes how often messages actually reach the inbox. This metric is not the same as technical acceptance or a high delivery rate.
Describes complaint and spam signals that providers directly use in reputation scoring. It influences acceptance, throttling, and inbox placement.
Captures failures in SPF, DKIM, DMARC, or related checks. These failures can trigger acceptance issues, reputation loss, or incorrect security classification.
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.
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.
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.
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.
Defined pieces of work with a clear scope, concrete inputs, and usable output.
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.
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.
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.
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.
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.
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.
Teams where email is operational infrastructure, not just a campaign channel.
When product mail, lifecycle mail, and marketing mail share risk, I help separate streams, domains, authentication, and monitoring.
When campaigns are accepted but inbox placement, spam complaints, or engagement signals fall off, I look at the technical and list-side causes.
When promotions, triggered flows, and transactional mail run at the same time, I help structure streams, volume, domains, and guardrails.
When several clients, ESPs, and sending domains are in play, I help sort the signals and turn them into a workable sequence.
When small configuration mistakes create immediate pressure, I help check authentication, routing, rate shaping, monitoring, and rollback paths.
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.