Solutions / Deliverability & MailOps Teams
You know exactly what you need. We built it.
In-house deliverability people are stretched across tooling, firefighting, and internal education. Egressif gives you the infrastructure you'd build if you had two spare quarters, plus a peer team that speaks fluent SMTP.
The context
The gap you already know is there.
If you do this job, you already know the gap. The practices that protect deliverability (measured warmup, per-receiver shaping, immediate bounce-class suppression, blocklist surveillance, evidence preservation) are all well understood and almost never fully implemented. Each one is an engineering project competing against the product roadmap. So they live in spreadsheets, cron jobs, and the heroic memory of whoever set them up.
Our platform is those practices, implemented properly, as infrastructure. Warmup ramps that respond to actual outcome data instead of calendar optimism. Shaping profiles per receiving provider, maintained as providers change behavior. We can do that because we watch deferral patterns across our whole network, a sample size no single sender has. Suppression driven by bounce classification with sane TTL semantics per class. And the thing you currently reconstruct by hand for every delisting ticket: complete, verbatim rejection responses, preserved per message.
What we are not: a black box. Routing preferences, fallback ordering, per-domain overrides, and stream separation are controls you operate, through the console or the API, with delivery events streaming back to whatever tooling you already trust. You stay the architect. We are the load-bearing structure and the second on-call.
Your challenges
Where your week disappears.
Your warmup plans live in spreadsheets and depend on someone remembering to raise the caps. Or remembering not to.
Provider-by-provider sending limits are tribal knowledge, enforced by hope and a few hardcoded numbers from 2022.
You get the blocklist notification after the damage, and the delisting ticket needs verbatim rejection evidence you have to dig out of rotated logs.
Every infrastructure change, even a routing tweak, requires negotiating an engineering deploy.
You are one person, maybe two. You are also the on-call, the educator, and the postmortem author.
How Egressif helps
What changes when the toil becomes infrastructure.
Warmup that runs on outcomes
New capacity ramps against actual delivery health. Ceilings rise only after clean utilization, hold minimum periods, and step down automatically on bounce or complaint signals. Cluster-coordinated, spreadsheet-free.
Receiver shaping, maintained for you
Per-provider connection and rate discipline is built in and kept current as Gmail, Microsoft, Yahoo, and the gateways shift their tolerances. Informed by delivery patterns across our entire network.
Evidence preserved, always
Complete verbatim rejection responses, enhanced status codes, per-message journeys, TLS state, timestamps. Retained and queryable. Delisting tickets, provider escalations, and postmortems start from evidence instead of archaeology.
Blocklist detection from the wire, with action attached
You know the honest truth about DNSBL monitoring services: they tell you after the fact, on their schedule. Our detection runs in the delivery layer itself. The first rejection naming a blocklist or IP-reputation block is recognized as it happens, traffic fails over to another route automatically, and the alert (deduped per IP and per blocklist) arrives with the verbatim rejection already attached for the delisting ticket.
Failure classification that acts, then reports
Every rejection is read for what it actually is: SMTP code, enhanced status, and the known reputation and policy phrases. Reputation blocks fail over and alert per sending domain per signal. Relay-auth failures alert separately so they never drown in bounce noise. A warming IP that draws bounces steps its own ramp down and tells a human why. The safe automatic action happens first; the report lands with the evidence.
Self-service control surface
Routing preferences, ordered fallbacks, and per-domain overrides are settings in the console. Changes you make in minutes, not deploys you wait sprints for. And because routing is per-domain, you can run different strategies on different domains and compare the outcomes in the delivery data.
Suppression with correct semantics
Bounce classification drives suppression scope and duration per class. Permanent for unknown-user, short for mailbox-full, none for transient infrastructure noise. Enforced at the gate across every stream, with DNC, DNP, and abuse entries honored at the same layer.
A peer team, not a ticket queue
Escalations reach people who run high-volume mail daily and argue about 4xx semantics for fun. We’ll be your second brain on strategy and your extra pair of hands at 2 a.m.
Rejection to report
What acting on it actually looks like.
▌ INCIDENT · RECEIVER REJECTS WITH AN IP-REPUTATION BLOCK
11:42:07Z 550: "client host [x.x.x.x] blocked using ..." · first rejection on this IP
11:42:07Z classified from the response text: reputation block, not a bounce
11:42:07Z auto: message advances to the next route · delivery continues
11:42:08Z alert raised: this IP + this blocklist · deduped, so it fires once, not per message
11:42:08Z verbatim rejection, destination MX, and egress IP attached to the alert
11:55:00Z human picks it up: delisting filed with the evidence already in hand
the failover acted on the first rejection. the delisting ticket wrote half of itself.
FAQ
Straight answers for people who know email.
Will the platform fight me on routing decisions?
No. Routing preferences, fallback ordering, and per-domain overrides are your controls, through the console. The automation executes your intent and handles the failure semantics underneath it. Where automation must act without you (a listing at 3 a.m.), it takes the safe containment action and reports with evidence. You can always override after.
Can I get the raw events into my own tooling?
The events exist for every message: accepts, deferrals, bounces, with verbatim responses, enhanced codes, TLS state, and timestamps, captured into a durable store. If you live in your own warehouse and dashboards, we wire a feed or set up recurring exports for you. Tell us the shape your tooling wants.
What do you know that I can’t learn myself?
Mostly sample size. We watch deferral patterns, throttle behavior, and rule changes across an entire network of senders, so a receiver-side change shows up here as a pattern before it shows up for any single sender as a mystery. You get that as maintained shaping defaults and earlier warnings, while keeping your own judgment on top.
Honestly: is this trying to replace my job?
No, and it cannot. The platform does the toil: warmup arithmetic, shaping table maintenance, suppression plumbing, log retention, the 3 a.m. containment. The judgment calls (stream strategy, escalation, what the business should change) remain yours, with better evidence. Our team becomes your peer group, not your replacement.
How does suppression TTL handling actually behave?
Scope and duration follow bounce classification per class: long-term for unknown-user hard bounces, short or none for transient classes like mailbox-full or infrastructure noise. DNC, DNP, and abuse entries are honored at the same gate, beneath every client application. Ask in the first call and we will walk through the semantics against your current rules.
Related reading
Go deeper in the reference library
The problem
You inherited a sending estate mid-migration: three providers, undocumented IP history, a warmup plan in a deprecated wiki, and an exec asking why Microsoft placement fell last quarter. The data to answer was scattered across log archives you couldn’t fully access.
With Egressif
The estate consolidated onto managed infrastructure with clean per-stream identities and a documented reputation history from day one. Microsoft-bound traffic got its own engineered treatment. Deferral patterns became a monitored metric with alerts. And the exec question became a weekly one-pager generated from delivery data instead of a quarterly archaeology project.
Get a force multiplier, not another tool.
Domains, rough volume, current providers, and what hurts. You will get a straight answer on fit, and a real number, in one conversation.