Money Morning

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Overview Sends List Health Billing Historical Analytics πŸ›‘οΈ Deliverability πŸ“¬ Inbox Providers
EDT List
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vs yday: β€”
MKT List
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vs yday: β€”
Yday Orders
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Yday Revenue
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MTD Revenue
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Yday Leads
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MTD Orders
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MTD Leads
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MTD Avg/Order
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Revenue & Orders
Click bar β†’ offer breakdown
β–  $1,000 floor β–  $2,000 goal β–  $3,000 stretch
Top Offers
Offer Ord Rev
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Top CTO/CPL Offers
Offer Leads Rev
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Opens & Content Clicks (send days)
New Leads & Churn per Day (14d)
Recent Sends
Date Day Send Type Delivered Open % Content Clicks Content CR Unsub % Orders Revenue
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Content Clicks / CR = article + offer links only, footer links excluded. Orders/Revenue for dedicated sends are day-level totals from Everflow (not per-send).

Cohort Churn Analysis
Date Added Lead Source Leads Added Still Active Pruned Vol. Unsub Total Churned Churn %
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Editorial β†’ Marketing Retention Funnel

Tracks what percentage of editorial leads get promoted to the marketing list and ultimately retained. Use the scale factor to size editorial acquisition targets.

Date Editorial Added β†’ Marketing Promo Rate Mkt Retained Retention Rate Scale Factor
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Scale Factor = editorial leads needed per 1 retained marketing subscriber. e.g. 2.9Γ— means to grow marketing by 10,000 you need ~29,000 editorial leads.

Monthly Marketing File Health

Breaks down monthly churn into two buckets: existing file churn (names added in prior months who left this month) and new-lead churn (names added this month who already left). Net change tells you if the file actually grew.

Month File (Start) New Mkt Adds Existing File Churn Existing Churn % New Lead Churn New Lead Churn % Total Churn Net Change File (End)
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Growth Calculator
+ marketing names

Formula: Leads Needed = (Target Net Growth + Avg Monthly Existing Churn) Γ· New Lead Retention Rate. Based on avg of last 2 full months.

List Size Over Time
Daily List Movement
Date EDT List MKT List New Leads Churned Est. Net Change Avg Open % Avg Unsub %
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Churned Est. = New Leads βˆ’ Net EDT Change. Net Change = today EDT βˆ’ yesterday EDT. Estimates only.

List Movement by Brand
Date Brand List Size Delta New Leads
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Billing
Month Advertiser Offer Orders Rate Total Status
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Filtered Orders: β€”
Filtered Revenue: β€”
Brand:
Revenue by Month
Orders by Month
New Leads by Month
Month-over-Month Summary
Month Total Orders Total Revenue EF Orders EF Revenue New Leads Ed Sends Ded Sends End EDT End MKT Source
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Slot Performance (EF-tracked dedicateds)
Advertiser Send Frequency & Gap
Advertiser Total This Mo Last Mo Avg Gap Days Since
RPN by Advertiser β€” Monthly Trend (EF accounts)
Unsub Spikes (> threshold)
Threshold: %
Date Send Unsub % Unsubs
Content CR vs. Orders (EF-tracked dedicateds)
Offer Fatigue β€” Content CR Across Consecutive Sends (by Advertiser)
Advertiser Sends First CR Last CR Decay Last 5 Sends (oldest→newest)
List Acquisition Cost vs. Lifetime Value β€” Wireframe
Cost Per Lead
$ β€”
Connect ad spend source to populate
30-Day Revenue / Active Lead
$ β€”
Total MTD rev Γ· active subscribers
Payback Period Est.
β€” days
CPL Γ· daily revenue per lead
7d Bounce Rate
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Threshold: <0.5% warn / <2% crit
7d Unsub Rate
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Threshold: <0.20% warn / <0.35% crit
7d Open Rate
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Target: >25%
Gmail Complaint
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Postmaster MCP βœ“
Last Check
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30d Sends
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β€” delivered
Authentication Records
Run deliverability_check.py to populate. Until then showing DNS live lookup.
DomainSPFDMARCDMARC Policy
Blacklist Status
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πŸ›‘οΈ Postmaster+ Live Data
Synced: β€”
Domain Status
Domain Compliance Gmail Rep DMARC Policy Complaint Rate
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Sending IP Status
IP Gmail Rep Outlook Sender Score Blacklist
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Bounce Rate per Send (30d)
β€” 0.5% warn β€” 2.0% critical
Unsub Rate per Send (30d)
β€” 0.20% warn β€” 0.35% critical
Gmail Complaint Rate (90d) β€” op.moneymorning.com
Postmaster+
β€” 0.10% target β€” 0.30% danger
Gmail Domain Reputation (90d)
Postmaster+
β€” High (4) β€” Medium (3) β€” Low (2) β€” Bad (1)
Sender Score β€” 162.208.17.58 (90d)
Validity
Top Spam Identifiers (Gmail FBL)
Identifier Avg Rate Samples Status
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Scaling Roadmap β€” 40K β†’ 800K
Phase 1 Β· Current
40K – 75K EDT
Single domain, single IP pool via OptiPub. Focus: consistent <0.08% complaint, <0.5% bounce, >25% OR for 90 days.
Phase 2
75K – 200K EDT
Warm additional IPs/domains. New IPs ramp: 500β†’1Kβ†’2Kβ†’5Kβ†’25K (doubling every 2–3d). Send only to engaged (opened last 14d) on new IPs.
Phase 3
200K – 500K EDT
Multi-domain strategy (news., deals. subdomains). Dedicated IP pools per segment. 30-day non-opener suppression. Monthly list hygiene scrub.
Phase 4
500K – 800K EDT
Full domain rotation. Engagement-based segmentation via ML. Real-time complaint monitoring via FBL. DMARC p=reject. Dedicated postmaster tools per domain.
IP Warm-up Schedule Generator
Start volume: Target:
DayVolume SegmentWatch For
Abort condition: bounce >1% or complaint >0.08% at any step β†’ pause 48h, investigate, clean before resuming.
Setup Checklist
πŸ“¬ Inbox Provider Open Rates
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Provider Detail Table
Provider Sent Total OR% Human OR% MPP% Bot% Human Click% Sends
Human OR% = real opens (excludes Apple MPP & bot scanner opens) Β· MPP = Mail Privacy Protection pre-fetches Β· Providers with <1,000 sent excluded
Money Morning Ops Β·