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Email Deliverability Science: Why AI Warmups Matter in 2025
A practical note from someone watching outbound change in real time.
Over the past year, I’ve had countless conversations with founders, revenue leaders, and SDR managers who all describe the same issue:
“Our emails aren’t landing like they used to.”
Teams keep reworking their copy. They try new tools. They experiment with different send times. Some even change their entire outreach strategy.
But here’s the uncomfortable truth no one wants to admit:
Most email problems have nothing to do with messaging.
They have everything to do with domain trust.
If mailbox providers don’t trust your sending pattern — your emails won’t get through. And in 2025, filters have become far more intelligent and far less forgiving.
Why Deliverability Is Failing for So Many Teams
The reason is simple.
Every provider — Gmail, Outlook, corporate servers — now uses AI-driven systems to evaluate senders.
And these systems care about three core signals:
1. A healthy, gradual volume ramp
Cold domains that suddenly send 200+ emails get blocked immediately.
2. Positive engagement
Opens, replies, forwards — this is what tells inbox filters your emails belong there.
3. Extremely low spam complaints
Even a 0.1% complaint rate can tank your reputation overnight.
When any of these break, no amount of good messaging can save the campaign.
Why the Old Way of “Warmup” No Longer Works
A few years ago, warmup was easy.
People would:
manually send small batches
open emails from each other
reply back and forth
ask teammates to help
Mailbox providers have outgrown these tricks.
Today, they analyze sender timing, consistency, reply depth, diversity of interactions, domain age, IP pattern — and whether the behavior looks “human.”
Most warmups fail because they look exactly like what they are:
unnatural activity.
The Shift Toward AI-Based Warmup
AI warmup works because it replicates natural behavior at scale and over time.
It does things humans simply cannot:
gradually adjust sending volume every day
simulate real conversations
vary timing to avoid patterns
interact with a diverse set of inboxes
detect reputation risk before filters do
correct patterns automatically
Over the last 12 months, we’ve seen something consistent across teams using structured AI warmup:
Inbox placement improves by 30–60%
Spam score drops across Gmail, Outlook, and Proofpoint
SDR teams become dramatically more productive
Domains survive longer without degradation
The technology isn’t doing anything magical it’s just doing the basics better than humans can.
Why Ramp Schedules Are the Real Science
One of the biggest mistakes I see is teams trying to scale too quickly.
A safe ramp for a new domain looks something like:
20 → 40 → 80 → 150 → 250 emails/day
But this can’t be static.
It has to change based on:
bounce rates
spam signals
engagement
blacklist activity
sequence content
This constant monitoring and adjustment is why AI has become the default approach.
Manual warmup simply can’t keep pace.
The Business Impact: Deliverability = Revenue
Here’s the simplest way to understand it:
If you fix deliverability, everything else becomes easier.
If you ignore deliverability, everything else becomes harder.
A domain with poor reputation will sabotage:
reply rates
booked meetings
SDR productivity
downstream pipeline forecasts
Outbound doesn’t break at messaging.
It breaks at trust.

What We’re Building at OnePgr
We’ve spent the last year building a deliverability system that makes warmup reliable rather than guesswork.
Our platform now handles:
intelligent AI warmup
smart ramp schedules
ongoing domain health scoring
spam-trigger detection
continuous optimization
human-like engagement patterns
The goal is simple:
Make email deliverability something you never have to worry about.
Outbound teams should be spending time on conversations not fighting filters.
I’ll leave you with one lesson we’ve seen across every high-performing outbound team:
Your domain reputation is the real asset.
Protect it like one.
When deliverability is strong, outbound scales smoothly.
When deliverability is weak, nothing else matters.
— Rajiv Saxena
OnePgr | onepgr.com