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Total client performance

Real people — clicked at least once1,064
Apple opens — opened, never clicked3,681
No activity yet797

From your Homebot export, Oct 12

Apple opens emails by itself on iPhones — opens lie. HQ counts clicks and replies only. Each percent is that group’s share of everyone counted in this panel.

Why the clicked number looks low — and why it’s the honest one: it counts people, not clicks. One person who clicked even once, counted one time, ever, across everyone counted in this panel. Apple’s auto-opens are kept out of it on purpose (they’re the 66.4% above) — most tools quietly count those machine opens and brag about a much bigger “engagement” number; this panel won’t. For context only, not our data: a typical single email gets clicked by about 2 in 100 readers, so about 19 in 100 homeowners having genuinely clicked at least once is strong. And the 14.4% with no activity yet are simply the cold part of the book — they haven’t engaged at all.

Add homeowners in bulk

Bring your whole book at once — drop in a CSV from any CRM or portal export.

✓ Not a cold list — this is your CRM. These are your people.

Quick check before you upload: is this your own CRM — people who know you — and NOT a cold or bought list?

Your file never leaves this device — this list lives only in this tab, and HQ’s panels only ever show counts.

📋 Your Sheets

Sheets of your book that build themselves — Likely to Sell, High Equity, and more. Sign up, pick a rhythm, download when they’re due.

Process your list in the card above and these sheets fill in from it — every count and every download comes from that list’s own records, on this device.

households from each sheet in one round. The cap keeps a send well under Gmail’s daily limits, so your account never looks like a blast — when a sheet holds more than the cap, the next round takes the next group and the rest roll forward on their own.

Sheets download from the app today. Automatic email delivery arrives when the Gmail sender lights up — nothing is emailed yet. A sheet only lists people whose own record carries the fact; when a record doesn’t carry what a sheet needs, the count says so instead of guessing.

Send from MailBook

The sender, built in. MailBook sends from your own Gmail — every email personal, the footer from the bulk card attached, and nobody who opted out ever emailed. Sending happens while this app is open; there is no cloud sender behind it. If someone replies STOP, tap Opt out next to their name below — this version does not read your replies, and it will not pretend it does.

Three safety rules ride on every send: nobody is emailed twice inside 7 days; an email that would leave a blank spot — a home value or equity the record doesn’t have — never goes out; and if Gmail’s answer doesn’t come back, MailBook stops and marks nothing, rather than guess and risk sending twice. Every skip is counted and named in the result line after a send.

🔒 Locked — answer Yes to the quick check on the bulk card above first. MailBook only sends to your own CRM, never a cold list.

Proof it’s working

The machine on one screen — every number names where it came from, and anything stale carries its date. Counts only: this app never shows a homeowner’s name.

32
Verified numbers you can quote — the shield, pulled Oct 23
1,036
Proven clickers in the book · 24.0%
97
Tier-1 scored clickers — the hot batch
3
Replies in the log · 1 hot — asked for a CMA
Batch sends tracked, Oct 15–21231
Replies per batchNot tracked before Oct 24
Today’s lineup — by hand / follow-up / rotation5 / 20 / 10

Ladder counted Oct 24, 2026 (lead-machine analysis of the Oct 21 verified export, the Oct 23 activity pull and the verified-values shield). The lineup is the playbook’s daily plan at the proven pace — 35 sends, one lane, inside the 7-day household gate. The full ladder is the Segment ladder card, just below Total client performance.

Segment ladder — hottest to coldest

Every household in the book sits on one rung. The top rungs hold every proven click, every intent tag, and every lead this engine has made — that is where the sending pace goes.

R1
Named hot signals14 · 0.3%

An intent tag on their own record — likely to buy (8), likely to sell (4), highly engaged (2). No batch: one personal email each, worked by hand, plus the named hand-raisers from the logs.

R2
The Shield — verified numbers17 · 0.4%

A verified Oct 23 value and equity figure on file, and real clicks. 32 households carry a verified number in all (31 in this book) — the only people who can be quoted a figure.

R3
Tier-1 scored clickers77 · 1.8%

Lead-score tier 1 — every one a proven clicker, not one ghost. 97 tier-1 households in the book in all. The hot batch: the email sells the verified number they do not have yet.

R4
Proven clickers927 · 21.5%

Clicked at least once — 1,036 proven clickers in the book in all. The quarterly rotation works this rung, and every email asks for a reply.

R5
Warm ghosts502 · 11.6%

Scored warm in the old portal (active in the last 30 days) but never clicked. Apple says they open; nothing is proven. One useful touch at a time, hunting a first real signal.

R6
The quiet middle2,747 · 63.7%

Ghost-only and unranked — the biggest rung in the book. A permission pass first (“want to keep getting these?”), then quarterly value touches for the keepers.

R7
Dark23 · 0.5%

In the book with no activity record at all. One warm reactivation shot, then left alone if silent. The wider “797 no activity” count includes 774 people who never made the verified book — they are not emailed.

Counted Oct 24, 2026 in the lead-machine analysis — the master list joined against the Oct 23 activity split, the lead scores, the per-record signal tags and the verified-values shield, matching on every email on each household record; households on the touch-exclusion list were removed before counting. Rebuilt after every send week.

Tap any rung and MailBook downloads a spreadsheet (.xlsx — opens in Excel or Numbers) of exactly that rung’s households from the book loaded on this device: same households, same count the rung shows. Working a rung by hand instead? The bulk card’s selling-signal dropdown still cuts a loaded list by Likely to sell, Likely to buy, Highly engaged and High equity.

Jump to a panel

Tap a panel to jump straight to it — no scrolling through the whole page.

Pipeline

Verified export — Oct 21, 2026

4,311

unique households verified in the book (Homebot support export, Oct 21, 2026)

Export rows received 4,312

One duplicate household merged during ingest. The old portal headline is not used as the pipeline count.

Reachable by email 4,311 (100.0%)
With phone 4,021 (93.3%)
Meaningful loan detail 23 rows (0.5%)
Value / equity records in this export 13

This file is the verified roster plus limited loan fields. The supplemental value/equity, tag/intent, and engagement/activity export was requested Oct 21; 13 value / equity records were later pulled from the portal on Oct 23, 2026 and saved into the master list.

Enrichment progress 134 of 5,527 (2.4%)

144 rows processed so far, including 12 with no match found.

Clean the book

MailBook reads your loaded book and sorts the households that drag it down into piles, each one counted live from the book itself. Nothing moves on its own — you tap Sweep to Archive on a pile, and those households leave every sheet, list, and count. Nothing is ever deleted, and the Archive at the bottom of this card brings any of them back in one tap.

Load your book and this card counts what’s actually in it.

This week in your book

The whole book in four plain lines — built only from the aggregates already on this page. Copy it into your own notes for the week.

Aggregates only — no homeowner names, home values, or homeowner emails, same as every other panel here.

Snapshot age

How fresh the numbers on this page are — the verified export behind every count, and what it takes to refresh it.

Oct 21, 2026
Verified export date
3 days old
Snapshot age today
4,311
Households this snapshot covers

A refresh takes a new verified Homebot export — counts update only from verified exports, never from working files.

Aggregates only — no homeowner names, home values, or homeowner emails, same as every other panel here.

Book mix

Who is in the book, by client type in the verified export — counts only, from the aggregates already on this page. Nothing new collected.

3,173
Homeowners · 73.6%
1,138
Homeowner / buyers · 26.4%

About 1 in 4 households in the book is also a buyer — the buy side of the same book, already on the email rotation.

How you can reach them

Contactability from the verified export — counts only, from the aggregates already on this page. Nothing new collected.

4,021
Email + phone · 93.3%
290
Email only · 6.7%
4,311
Reachable by email · 100.0%

Every household in the book has an email on file, so the email rotation reaches the whole book; phone opens a second channel for most of them.

Pipeline health

One score for the whole book — a plain average of the four coverage numbers below, all from the aggregates already on this page. Nothing new collected.

24 / 100

pipeline health score

93.3%
Phone coverage
2.6%
Enrichment processed
0.5%
Meaningful loan detail
0.3%
Value / equity records

Weakest link: value and equity records — only a small share of households have a value or equity record yet, so that part of the book is still mostly empty.

Strengths & gaps

Where this book is strong and where it is thin — one synthesis from the aggregates already on this page. Nothing new collected.

Strengths

Gaps

Aggregates only — no homeowner names, home values, or homeowner emails, same as every other panel here.

What to do next

The three moves that matter most, in order — worked out from the aggregates already on this page. Counts only; nothing new collected.

  1. Keep value / equity records fresh. 13 records are in the book — keep them current as homes sell and loans change.
  2. Work the enrichment queue. 5,383 of 5,527 households (97.4%) are not yet processed — every batch finished sharpens the book.
  3. Work the hot end first. 62 households carry a ready-now signal in the Oct 21 portal snapshot (2 likely to sell · 8 likely to buy · 2 highly engaged · 37 ready for refi · 13 just listed) — they go first in the rotation.

Built from the same aggregates as Pipeline health, Coverage gaps and Hot signals — if those numbers move, this list moves with them.

Hot Signals

Portal snapshot — Oct 21, 2026 · historical, not live

Portal snapshot only — Oct 21, 2026, the last portal read before we took the engine in-house. The support export did not include the per-client value, equity, tag/intent, or activity fields behind these layers; a supplemental export was requested Oct 21. Counts only; the names behind them live in the private master list, never in this app.

3,294
High equity
2
Likely to sell
8
Likely to buy
2
Highly engaged
37
Ready for refi
13
Just listed

Signals per 100 households

How dense the ready-now signals are in the whole book — each Hot Signals count above per 100 households in the book (4,311 households), from the aggregates already on this page. Nothing new collected.

0.0
Likely to sell per 100 · 2 in the book
0.2
Likely to buy per 100 · 8 in the book
0.0
Highly engaged per 100 · 2 in the book
0.9
Ready for refi per 100 · 37 in the book
0.3
Just listed per 100 · 13 in the book
1.4
Ready-now total per 100 · 62 in the book

Likely to sell and highly engaged are each 2 households — 0.05 per 100 before rounding, so they show as 0.0 at one decimal. Ready for refi is the densest ready-now signal in the book.

One in X

The book in plain ratios — how many households you pass, on average, before you hit one like this. Same aggregates as the panels above, just in words you can picture. Nothing new collected.

1 in 1.3
High-equity segment · 3,294 in the book
1 in 3.8
Also a buyer · 1,138 in the book
1 in 14.9
Email only, no phone · 290 in the book
1 in 69.5
Ready-now signal · 62 in the book
1 in 331.6
Value / equity record · 13 in the book

Read it this way: almost every household is high-equity, about 1 in 4 is also shopping to buy, and a ready-now signal is rare — about 1 in 70 — so those names go first.

Aggregates only — no homeowner names, home values, or homeowner emails, same as every other panel here.

Count check

How the book reconciles — the old portal headline, the rows the export actually delivered, and the verified book after one duplicate was merged. Every step of the gap, explained. Same aggregates as the Pipeline panel, nothing new collected.

4,388
Portal headline — the old portal's count
4,312
Export rows delivered Oct 21
76
Rows below the headline
1
Duplicate household merged
4,311
Verified book · 98.2% of the headline
77
Total gap — fully explained (76 + 1)

Read it this way: the portal said 4,388, the export delivered 4,312 rows, and merging one duplicate leaves 4,311 unique households. The 77-household gap is 76 rows the export came in under the headline plus that 1 duplicate — no households are unaccounted for.

Aggregates only — no homeowner names, home values, or homeowner emails, same as every other panel here.

Today's Lanes

Sent today (both lanes) 24

Daily cap: 70 emails (35 per lane). Corrections below are extra — they fix our own mistakes.

Lane Pace

What the cap means for the whole book — plain arithmetic on the totals above, nothing new collected.

62 days

for one full pass through all 4,311 households at the full 70-a-day pace

8.9
Weeks per pass
490
Households / week
11.4%
Of the book / week
5.9
Full passes / year
7 days
Household gate
35/day
Cap per lane

The 7-day gate never slows a full pass: at 62 days a pass, every household is well past the gate before its next turn comes up.

Share the Snapshot

A plain-words copy of the headline numbers above — aggregates only — ready to paste anywhere, or download as a CSV.

Corrections

24

correction emails sent today

Lane A: 12 · Lane B: 12 — every one sent, every one using the live portal figures.

Wrong values caught, corrected with live portal numbers.

Program Rules

Our Own System

Homebot is cancelled. As of Oct 21, 2026, this program runs on our own rails — no portal rent, no middleman.

Ask AI LIVE · ANSWERS IN SECONDS

Ask how the automated email outreach works — the lanes, the scoring, home values, growing the base, or how joining works. If it's beyond the book, the desk points you to Steven.

Running a homeowner book?

How MailBook helps you. Most listings don't go to the agent who mailed once — they go to the one who stayed in touch. Past clients and your sphere go quiet, and most sales take several touches before anyone's ready. So you write the follow-ups once, and MailBook watches the days: it lines up who's due, and each email goes out from your own Gmail when you tap send — every homeowner hearing what their home is worth, in your name, until you're the call they make.

This is the HQ view of your automated email outreach: follow-ups and check-in emails that send themselves to every homeowner in your book — what their home is worth and how much equity they have — with the ready-to-sell names on top. Lanes, touches, pipeline, program status — one screen. Built for realtors who work their database like a business.

Built for your own list — people who know you. No cold email, no bought lists, no blasting strangers. MailBook sends to the homeowners in your own book — people who asked to hear from you. If they didn't ask, they don't belong here.

Want an HQ for your book? It's free right now — no card needed, joining is open.

Program notes — behind the scenes
Bulk-delete watch —

—

Coverage Gaps — What's Missing

The gaps in the book, counted from the same aggregates above — so the next fix is obvious. Aggregates only, as everywhere in HQ.

No phone on file290 households (6.7%)

Email-only for these households until enrichment finds a number.

No meaningful loan detail4,288 households (99.5%)

Refi timing stays a guess for these until the supplemental export lands.

Value / equity records in the export13

So any value used in a touch is checked individually first — that is the program rule while the supplemental export is pending.

Enrichment not yet processed5,383 of 5,527 (97.4%)

The public-records crawl works the queue in batches; processed rows include 12 no-match results so far.

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