Sender reputation is built by what recipients do with your mail, not by what your DNS records say. MailStrike warms your domain through four persistent behavioural archetypes that open, read, reply, and rescue mail the way real inbox use actually varies. Every thread is generated by the LLM, grounded in your industry and company profile.
4
Archetypes
4
Signal types
21
Days to Ready
10+
Providers
Persona Engine
How each archetype behaves toward your warming mail.
Archetype
Reply rate
Fast Scanner
85%
When this archetype is active (24h)
Avg Reader
95%
When this archetype is active (24h)
Thorough Reader
97%
When this archetype is active (24h)
Mobile-First
79%
When this archetype is active (24h)
Each mailbox you connect is assigned one archetype. Mix all four across your mailboxes for the strongest distribution.
Why behaviour matters
Uniform warming
Ping warmupPersona-based warming
MailStrikeModern inbox filters do not score raw volume in isolation. They evaluate engagement traces: who opens, how long they read, whether mail gets a reply, a star, a rescue from spam. A domain that produces a clean trail of those signals at small volume is treated very differently from one that does not. The challenge is that the trail has to be plausible. Uniformity is the easiest pattern in the world for a filter to detect.
The Four Archetypes
Once assigned, a mailbox behaves consistently inside its archetype. Humans do not switch personality every day, and neither does the warming network.
fast-scanner
Reads on phone, skims subject lines, replies fast or not at all.
24h activity
Up to 2h
Reply rate
85%
Dwell
12–46s
Window
Up to 2h
Typo rate
4%
Sample reply
Re: Quick question on Q4 deliverability
“Sounds good, send me more info?”
avg-reader
The median desk worker. Opens a few hours after delivery and reads the whole thing.
24h activity
Up to 5h
Reply rate
95%
Dwell
16–73s
Window
Up to 5h
Typo rate
2%
Sample reply
Re: Inbox placement before Q4
“Thanks for the note. I've been thinking about this. What does onboarding actually look like?”
thorough-reader
Reads carefully, often more than once. Highest engagement quality in the network.
24h activity
Up to 4h
Reply rate
97%
Dwell
31–119s
Window
Up to 4h
Typo rate
1%
Sample reply
Re: Scaling outbound without sacrificing deliverability
“Read this twice and clicked the link. Two questions: warm-up timeline for a cold domain, and how does persona rotation work?”
mobile-first
Lives in their phone. Evening engagement, irregular schedule, more typos.
24h activity
1–18h
Reply rate
79%
Dwell
8–44s
Window
1–18h
Typo rate
7%
Sample reply
Re: Email deliverability question
“Yep sounds intersting, can we scheudle a call?”
Values shown are current production numbers, continuously tuned by the MailStrike team as filter behaviour shifts.
Anatomy of one exchange
Your mailbox is paired with a real mailbox in the engagement network. Provider mix is balanced across Google, Microsoft, Yahoo, Zoho, and others.
The LLM drafts a contextual thread grounded in your industry and company description, so warming reads like real conversations in your space.
The recipient persona opens after a sampled delay, dwells per its archetype, then replies based on its reply rate.
Beyond replies, personas mark important, star, and rescue from spam where the thread warrants it. Real provider-level actions.
Each exchange updates the receiving provider's opinion of your domain. The Inbox Reputation Score climbs into the 90s by day 21.
Contextual messaging
Warming traffic is generated by the LLM at send time, grounded in the customer profile you fill in during onboarding. Your industry (chosen from 50+ B2B verticals) and the company description you write feed directly into the prompt. Warming for a recruiting agency reads like recruiting conversations. Warming for a legal SaaS reads like legal-tech exchanges.
Customer profile → LLM → Warming thread
B2B SaaS
Customer's onboarding inputs
Generated warming email
Quick question on Q4 deliverability planning
“Saw your team is ramping outbound for Q4. Curious how you're handling sender reputation across the new mailboxes — most of the teams I talk to lose 30%+ to spam in the first month.”
Recruiting Agency
Customer's onboarding inputs
Generated warming email
Re: Engineering pipeline this quarter
“Following up on the conversation about senior backend hiring. We've placed three Staff Engineers into Series B teams in the last six weeks — would the shortlist format be useful as a benchmark?”
Legal Tech
Customer's onboarding inputs
Generated warming email
Cutting MSA review time at scale
“Two GCs I spoke with last week mentioned MSA backlog as their biggest Q4 headache. We've been seeing 60–70% review-time reductions when the playbook is encoded properly — happy to share what's working.”
The more specific your company description, the more believable every warming thread sounds. A one-line description like “we sell B2B software” produces generic mail. A description that names your audience, your product, and the problem you solve produces threads that read like real conversations a recipient in your space would have.
Engagement signals
Opened
Link clicked
Marked as important
Rescued from spam
MailStrike automates the critical warming events that scroll through your live feed. These are the same four actions a real recipient takes inside Gmail or Outlook. Filters weight them differently. All events are produced by MailStrike personas.
Reputation curve
Inbox Reputation Score over 28 days
“Ready for outreach” in the dashboard requires three conditions: IRS at least 90, at least 21 days of warming activity, and a domain at least 30 days old. Any one of those alone can be gamed. All three together correlate with domains that perform reliably in production.
Frequently asked
Get started
Book a 20-minute call. We'll walk through your current sender setup, connect a mailbox, and get your first persona threads running the same day.
