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Case 04 · 2 months · Engineering outreach

In cold outreach, getting seen is the first advantage

Hiring engineers at volume, with outreach dying before it reached the inbox.

Anonymized production account · data through 12 August 2026 · How Mira runs the search

What this case shows

In cold outreach, deliverability is the advantage.

Deliverability is infrastructure: warmed sending pools, per-account rate limits, health monitoring. Building that yourself usually takes months.

Solve getting seen first. Personalization only matters after that. A 62.5 percent open rate is what makes a 9.2 percent reply rate possible.

The full funnel

Production data. Absolute counts.

Contacted is the denominator for every percentage, and a person who appears under several roles is counted once.

Contacted 1,299 100% Opened (pixel) 812 62.5% · step 62.5% Replied 119 9.2% · step 14.7% Interested 98 7.5% · step 82.4% Resume 45 3.5% · step 45.9%
Width uses a square-root scale so a 2 percent stage is still a slice, not a hairline. The count is the fact. Opened is hatched because it is a tracking pixel.

Per 100 people contacted

  • 3 resume
  • 5 interested, no resume
  • 1 replied only
  • 91 no reply
One cell is one person out of 100 contacted. Cells are exclusive: a resume is not counted again as interest.

Exact counts

Stage Count Of contacted Step
Contacted 1,299 100% -
Opened 812 62.5% 62.5%
Replied 119 9.2% 14.7%
Interested 98 7.5% 82.4%
Resume 45 3.5% 45.9%

Interview booking was not used by this account inside the window. The funnel stops at resume. All 28 confirmed interviews on the customers page belong to the largest account.

62.5% open

812 of 1,299. Pixel-tracked; treat it as a ceiling, not a fact about reading.

1,299 contacted

Engineering candidates whose inboxes vary wildly in reachability.

9.2% reply

119 people replied.

98 interested engineers

45.9 percent of interested people sent a resume.

How fast it happened

Raw timestamps, from the first wave.

These are real intervals in this account, measured from the first outreach wave. They are not a 24-hour delivery claim, and they are not a fill-time claim.

  1. Day 0, 17:00
    First outreach wave sent.
  2. +7 min
    First interested reply.
  3. +21 min
    First resume received.
How much the AI wrote

3,791 personalized emails.

First touch plus automatic follow-ups, each written for that person, with no template blast. The hour count below is the only estimate on this page: it assumes 3 minutes to research and write one email by hand.

3,791
emails written and sent by Mira
190
hours at 3 minutes each
24
working days at 8 hours
9.2%
reply rate on 1,299 contacted

3,791 × 3 min = 190 hours ≈ 24 working days. Substitute your own minutes-per-email and recompute.

FAQ

How to read this account.

Should I treat 62.5 percent open as proof the mail was read?

No. Open rate uses a tracking pixel. Prefetch can fire it without a human reading the mail. Use reply, interest, and resume to decide. Those are 9.2 percent, 7.5 percent, and 45 resumes on this account.

Is this the same as the 55-role account?

No. That account ran many functions for seven months. This one hired engineers over two months. Both are anonymized company accounts. Neither is a named logo.

Against the other four

Reply rate in this extract.

Same scale as the hub chart, with this account marked. The 55-role account is the largest by volume and the lowest by reply rate, and nothing in the set is dropped.

  1. Many roles at once
    7.3%
  2. Hard-to-reach PMs
    11.4%
  3. No recruiter on staff
    9.5%
  4. Engineering outreach
    9.2%
  5. A role they ran twice
    8.2%
A dot, not a bar. Axis goes to 12 percent. This account is the filled mark.
The other four

Same extract. Different constraint.

If this constraint is yours,
bring the role.

This account is one extract, not a guarantee that your role will match it. The trial is free for 14 days, with 3 New Roles and 12 Credits, and no card.