Every episode ships
two emails by itself.
One hour after my episode syndicates, a bot rewrites it into two emails (a buyers version and a prospects version), generates the graphics, ships the morning send, then ships a rewritten evening version for the readers who never open before noon. Two campaigns, double the conversions, no send button pressed.
Every recording day, two email campaigns write and send themselves.
Most podcasters ship an episode, post it on the host, and never get around to writing the email that turns the audio into actual revenue. The few who do write the email send one version to the whole list at one time, which means anyone who isn’t a morning-inbox person never sees it. There is a different way. Let a small bot wait one hour after syndication, then write two emails (buyers and prospects), ship the first in the morning, and ship a rewritten second one in the evening. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who it’s for
Podcasters, course creators, coaches, and consultants who already have an email list of more than a few hundred buyers and prospects mixed together. Especially useful if you sell anything (a course, a service, a community) and your list is the room where the sale actually happens. If you have an offer and a list, and the list barely hears from the podcast, this is for you.
What goes wrong
Without the bot, the email step is the one you cut when you are tired. You ship the episode and skip the broadcast. Or you send one generic email to everyone, which talks past your buyers and talks down to your prospects. Either way, half the list hears from you on the wrong clock, with the wrong message, and the episode that paid to be produced earns nothing. An episode that never reaches the inbox is half a piece of content.
How the machine works
The trigger fires when a new episode lands. The bot waits one hour for syndication, pulls the show transcript, pulls the buyer and prospect segments from your email service provider, writes two different emails (one for each segment), generates a hero graphic per email, sends the morning campaign, then computes the best evening delay from the morning open behaviour and ships a rewritten second send. You record. The bot writes, segments, and sends.
What you get back
Two shipped campaigns every recording day with proper segmentation and proper timing. The buyers email lands warm, the prospects email lands as nurture, and the evening rewrite catches the half of the list that never opens before noon. Roughly $40 to $70 of attributable revenue per episode, ~$6,000 to ~$10,500 a year, compounding across the list to ~$50,000 to ~$80,000+ over five years. An inbox channel that fills itself, one episode at a time.
I was sending one email or none at all.
For the first stretch of running the podcast, the email step was the chore I dropped first. I would record three episodes a week, ship them to Spotify and Apple, and then run out of energy by the time the inbox campaign was supposed to go out. When I did send something, it was one generic email to the whole list at the same time of day. Buyers got the same pitch as people who had never bought from me. The half of the list that worked night shifts never opened anything. The work I had already paid to produce was getting half-sold by a half-written email.
The cost was bigger than the time. Buyers needed a different tone than prospects (warm, insider, fewer ramps to the offer). Prospects needed a different tone than buyers (more context, more proof, softer ramp). Sending one email to both audiences meant neither version performed. And sending at one fixed time meant the evening-inbox readers never saw the show at all. The episode came out, the list barely heard from it, and the revenue I could have earned just sat there.
So I built a small bot. One hour after a new episode syndicates to every platform, the bot fires. It pulls the episode transcript and the show notes. It connects to my email service provider and asks for two segments: everyone tagged as a buyer, and everyone tagged as a prospect. It writes two completely different emails from the same episode. It generates a hero graphic for each. It ships the buyers email first in the morning. Then it watches the open behaviour for a few hours, computes the best window for the second send, rewrites the subject line and the body for an evening read, and ships the prospects email to the segment that has not yet opened.
The total cost of running it is a few cents per episode in API calls and one prompt I locked once. The total time I spend writing or scheduling email is zero. Every recording day, two campaigns go out without me touching a send button. The buyers email tends to outperform because the audience already trusts the offer. The prospects email earns more nurture revenue than it looks like it should, because the evening rewrite catches readers who never even saw the morning version existed. Open rates on the two sends land within a couple of points of each other, which is the part I genuinely did not expect.
Proof point: the show this engine writes against is Freedom by Choice on YouTube, and the email mechanics behind the morning-and-evening split sit inside the broader Growth Hacking series. The time-saved and the revenue-per-episode numbers on this page read as checkable against the same shows.
Three moves that turn every episode into two shipped campaigns on autopilot
What made this work was treating the inbox not as one channel but as two clocks running at the same time. One reader opens at 7 a.m. with coffee, one reader opens at 7 p.m. on the train home, and they need different subject lines and different bodies to act. The framework hangs on three moves: split the list into buyers and prospects, ship the buyers email in the morning, then rewrite the same idea for an evening send to the segment that has not yet opened. That is the whole engine. Done right, it gives back ~225 hours a year, around 9 working weeks, and adds ~$6,000 to ~$10,500 in attributable revenue from emails that simply did not exist before.
Split the list into buyers and prospects, write two emails
The bot does not write one email and call it a day. It writes two, from the same episode, for two different audiences. Buyers get a warm note that assumes context, points to the new episode as a continuation of the relationship, and links the offer the way you would talk to an insider. Prospects get a slower ramp that earns the click, proves the show is worth listening to, and walks toward the offer at a longer distance. Same episode, two emails, two voices.
Ship the morning send, then let the bot pick the evening gap
The buyers email goes out first, in the morning window your list opens at. After it ships, the bot watches the open behaviour for a few hours and asks one question: what is the best gap before the second send so that the evening readers see a fresh email, not a near-duplicate of the one they already read? The answer is rarely the same number twice (some lists prefer 6 hours, some prefer 9). The bot computes the gap, sets the second send, and moves on.
Rewrite for the evening send, ship to the unopened segment
The second send is not a resend. The subject line is rewritten. The opening hook is rewritten. The body is shortened and reframed for an evening read. The hero graphic stays the same so the brand reads consistent, but the words shift to match the time of day and the audience the morning email did not reach. People who already opened in the morning are filtered out, so nobody gets the same email twice. What you double is the surface area, not the noise. Open rates on the two sends land within a couple of points of each other, which is the part nobody expects.
Once those three moves are in place, the inbox stops being the channel you skip when you are tired. It becomes the second and third halves of every episode you ship, on a schedule, with zero manual work.
Before the bot
- ~90 minutes of email writing and scheduling after every episode, or skipped entirely
- One generic email to the whole list, talking past buyers and down to prospects
- Evening-inbox readers never saw the episode broadcast at all
- Open rate fine on morning, but conversions sat flat because half the list missed it
- Episodes that never converted in the inbox just because the email never went out
After the bot
- Zero manual time per episode on email, both campaigns write and send themselves
- Buyers email and prospects email shipped from the same show, in two different voices
- Morning send and evening rewrite, each going to the right segment, never the same reader twice
- Open rates on both sends land within a couple of points of each other, conversions roughly double
- ~$6,000 to ~$10,500 a year in attributable revenue from campaigns that never existed before
Prompt 1: rewrite a podcast episode into two emails, one for buyers, one for prospects
The same episode needs two completely different emails because the two audiences sit in two completely different places with you. Use this prompt to rewrite the show into both versions in one pass, in your locked brand voice, with paste fields for the segment context.
Buyers-and-prospects email rewriter
Act as an email copywriter writing for a podcast list that contains both buyers (people who have already paid me for something) and prospects (people on the list who have never paid me). You will write two separate emails from the same episode, one for each segment, in my brand voice. Episode title: [paste] Episode summary (3 to 5 sentences): [paste] Most quotable moment from the show transcript: [paste] Offer I want this episode to point to: [paste] Audience segmentation context: BUYERS already paid for [paste offer name]. PROSPECTS have not paid for anything yet. Brand voice: three adjectives I use [paste], two phrases I never use [paste], three phrases I always use [paste]. Produce two emails. EMAIL ONE: for BUYERS, ~180 words, warm, insider tone, assumes context, opens with one line that reads like a continuation of an earlier conversation, points to the new episode as a next step, ends on a soft pointer to the offer with no hard pitch. EMAIL TWO: for PROSPECTS, ~220 words, slower ramp, earns the click before pitching, opens with the quotable moment from the show, then explains why the episode is worth their time, then walks toward the same offer with one proof line and a soft CTA. Both emails: short subject line under 50 characters, no all-caps, no emoji, plain text first then optional one-image hero. Do not duplicate sentences between the two versions.
The output of this prompt is what gets pushed into your email service provider by the bot. Lock it once for your show, the bot reuses it on every episode.
Prompt 2: generate the morning and evening subject line and body variants from one email
The evening send is not a resend, it is a rewrite. Use this prompt to take the morning email and produce the evening variant in one pass, so the second campaign reads like a new piece of content to the readers who never saw the first one.
Morning-to-evening rewrite engine
Act as an email editor producing the evening rewrite of a morning campaign. The same audience segment receives the second send, minus anyone who already opened the morning email. The evening reader needs a subject line and an opening hook that feel like a fresh email, not the morning one re-sent. Morning email subject line: [paste] Morning email body in full: [paste] Segment receiving the evening rewrite: [paste BUYERS or PROSPECTS] Episode title and offer: [paste] Reader context for the evening: end of work day, mobile inbox, low patience, scanning for the one line that justifies the open. Produce three things. One: a brand-new subject line under 48 characters that does NOT echo the morning one and reads as if it had been written by a different sender on a different day. Two: a rewritten body, ~30 percent shorter than the morning version, opening with a different first line, written for scanning, with the most important sentence as a stand-alone line in the middle of the email. Three: a single-sentence CTA at the end that points to the same offer the morning email pointed to, in a softer voice. Keep the hero graphic and the brand colours the same so the email reads consistent at brand level, only the words shift.
This prompt runs after the morning send completes. The bot computes the best gap before the second send, then pastes the rewrite into the evening campaign and ships to the unopened segment.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to learn the mechanics behind twin email campaigns like this?
I teach the same mechanics that make this twin email drop run inside Automations Made Easy. 1,000+ students have used these mechanics to save two hours a day and turn one episode into two shipped email campaigns without ever pressing a send button. No coding required.
Week one: three episodes shipped, six emails the system wrote and sent.
Most people quit a system like this in the first week because the first few campaigns feel too quiet. There is no inbox surge, no sudden flood of replies, no obvious win. The first week of the twin email drop is meant to feel small. The point is to confirm the bot fires one hour after syndication, the two emails land clean in your email service provider, the buyers segment and the prospects segment both receive the right version, and the evening rewrite does not collide with anyone who already opened the morning one.
Week one looks like this. You record three episodes across the week. Each episode syndicates as normal. One hour after each publish, the bot fires, writes the two emails, ships the morning buyers send, watches the open behaviour, computes the evening gap, and ships the rewritten prospects send. Six campaigns go out across the week without you logging into the email tool once. That is roughly 270 minutes of email work you did not do, four and a half hours of the week back. Each episode will quietly carry ~$40 to ~$70 in attributable revenue across the two emails, the buyers email pulling more weight than the prospects email, and the prospects email contributing the nurture-revenue lift on later sends.
The point of the first week is not the inbox spike. The point is to prove the loop closes: episode publishes, bot waits, two emails write themselves, the morning send lands, the evening rewrite catches everyone the morning send missed, and nobody on the list gets the same email twice in one day.
From there the maths is simple. ~90 minutes saved per episode across ~150 episodes a year is ~225 hours, roughly 9 working weeks bought back every year. ~$40 to ~$70 of attributable revenue per episode across ~150 episodes is ~$6,000 to ~$10,500 a year. Over five years, with the list growing and the buyer segment compounding, that lands closer to ~$50,000 to ~$80,000+ from campaigns that would never have shipped without the bot.
All of this runs while you record, sleep, or take a week off. The bot does not care. The trigger reads the feed, the cooldown runs the clock, the writer drafts both versions, the morning send ships, the bot watches opens, the evening rewrite ships. The inbox grows on a schedule that matches the show, and the list finally captures the value the platforms were quietly keeping.
Prompt 3: decide the best evening send delay from the morning open behaviour
The gap between the two sends is the variable nobody locks correctly because lists differ. Use this prompt to compute the best evening delay for the second send based on what the morning email did in its first few hours.
Evening-delay calculator
Act as an email operations analyst deciding the best time of day to ship the evening rewrite of a morning campaign. The same audience segment receives the evening send, minus anyone who already opened the morning one. The goal is to maximise the open rate of the second send without overlapping the morning open window. Morning send time (local): [paste] Open count after 1 hour: [paste] Open count after 3 hours: [paste] Open count after 6 hours: [paste] Total list size receiving the morning send: [paste] Time zone of the majority of the list: [paste] Return three things. One: the best send time for the evening rewrite in local time, expressed as a single HH:MM value, optimised so that the second send lands during the next clear open window after the morning curve plateaus. Two: a one-line explanation of why this gap was chosen (which signal in the open curve drove the decision). Three: a single fallback time if the chosen one falls inside a known low-open window (late dinner, sleep, weekend morning) for that time zone.
The output of this prompt is what the bot uses to schedule the second send. The morning campaign and the evening campaign are never separated by the same fixed gap twice in a row.
Prompt 4: write the hero image prompt and alt text for the email
Every email needs a hero image that reads on mobile and matches the brand. Use this prompt to generate both the image prompt and the alt text for every new episode, in one pass.
Email hero image and alt text writer
Act as a designer preparing the hero image for an email campaign about a new podcast episode. The image needs to read on a mobile inbox at small size, hold the brand colours, and match the topic of the episode without showing a face. Episode title: [paste] Episode topic in one sentence: [paste] Visual mood I want (calm, bold, cinematic, etc): [paste] Brand colour palette in three hex codes: [paste] Object or metaphor that represents the episode topic (one noun): [paste] Produce three things. One: a clean image prompt of 12 to 18 words for an AI image generator, describing the scene, the lighting, the brand colours, and the object, with the constraint "no face, no text overlay". Two: an alt text between 80 and 125 characters, written as a single descriptive sentence that includes the episode topic and never starts with the words "image of". Three: one fallback prompt in case the first generation returns a weak result.
The bot uses the image prompt to generate the hero, drops it into both the morning email and the evening rewrite (same image, different words), and writes the alt text into the email markup so the image still works when it fails to load.
The exact build, step by step
Wire the trigger that fires when a new episode lands
The trigger is the source of truth for the whole bot. Point a small workflow (n8n, Make, or Zapier all work) at your podcast RSS feed or your YouTube channel’s RSS. Every time a new item appears in the feed, the workflow fires once. Filter for items that match the show you actually publish so test feeds and trailers do not trigger it. The trigger does not write anything yet, it only carries the new episode ID forward to the next step. This single piece is what makes the whole engine event-driven instead of scheduled.
Build the one-hour cooldown before the bot writes anything
Insert a delay node right after the trigger. Sixty minutes, hard. The reason is mechanical. Spotify, Apple, Google, and the rest of the directories take time to ingest a new episode and serve the metadata reliably. If the bot fires the moment the trigger does, the episode link inside the email will half-work or 404 for the first hour, which is the worst possible launch state. One hour later the platforms have caught up, the metadata serves cleanly, and the emails that go out have working links from the first click.
Pull the buyer list and the prospect list from your email service provider
Before the emails get written, the bot needs to know exactly who is receiving each version. Connect to your email service provider through its API and ask for two segments: everyone tagged as a buyer (people who have paid you for anything), and everyone tagged as a prospect (everyone else on the list). The segments are not hardcoded, the bot asks for them fresh on every run, so new buyers from yesterday land in the buyers segment automatically. ConvertKit, ActiveCampaign, Klaviyo, Brevo, and BooSend all expose the segment-by-tag endpoint this needs.
Write the two emails and generate a hero graphic for each
This is where the bot stops being a delay node and becomes a writer. It runs the episode transcript and the segment context through the rewrite prompt (Prompt 1 above) and produces two different emails from the same show, one for buyers, one for prospects, each with its own subject line. It runs Prompt 4 to generate the hero image prompt, calls the image generator, and drops the result into both emails. The brand graphic is the same across both versions, only the words shift. The buyers email is shorter and warmer. The prospects email is longer and earns the click first.
Ship the morning send, watch opens, compute the evening gap
The buyers email goes out first, in the morning window your list actually opens at. Right after the send completes, the bot starts watching open behaviour through the email service provider’s API. After a few hours it asks one question through Prompt 3: what is the best gap before the second send so that the evening readers see a fresh email, not a near-duplicate of the one they already read? The answer varies by list (some prefer 6 hours, some 9). The bot computes the gap, schedules the second send, and moves on without waiting around.
Rewrite the evening email and ship to the unopened segment
When the evening gap arrives, the bot rewrites the morning email through Prompt 2 (new subject line, new opening hook, shorter body, same hero image) and ships the second campaign. The audience for the second send is filtered down to people who have not opened the morning one yet, so nobody on the list receives the same email twice in one day. The campaign log gets written to a small Airtable row with both send times, both subject lines, both segment counts, and the open rate on each. The inbox loop is closed, and you never opened the email tool.
Trigger fired
RSS or YouTube feed sees the new episode, the workflow fires once with the episode ID.
Cooldown done
One-hour delay runs, every directory finishes syndicating, the episode link inside the email is safe to click.
Emails built
Buyer and prospect segments pulled, two emails written from the same show, hero image generated and dropped into both versions.
Campaigns shipped
Morning buyers send goes out, the bot watches opens, computes the evening gap, rewrites the second email, and ships it to the unopened prospects segment. Both sends logged.
Build this twin email drop inside the same playbook 1,000+ students use
Automations Made Easy teaches the mechanics behind bots like this one. Step by step, no code, plain English. Pull two shipped email campaigns out of every episode you record without touching a send button.
The six months after I switched it on
Here is the shape of the first six months after I turned the twin email drop on for the podcast. The line is intentionally modest in the early months and steady from there, because that is how a quiet inbox channel actually behaves.
Attributable revenue from auto-shipped email campaigns, per month
Caption: Monthly revenue from leads + sales attributed to the auto-shipped email campaigns. Three things matter on this chart. The line stabilises around $650 a month and stays there. The revenue comes from emails that did not exist before the bot. And every single one of those months happens without you logging into the email tool.
What other students built
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I used to send one email per launch and pretend that was enough. With the twin drop, my morning send still does what it always did, but the evening rewrite added a quiet 38 percent on top across my first month. Same list, different clock.”
“The thing I did not believe until I shipped it: open rates on the second send are within two points of the first. Nobody marked it as spam, nobody unsubscribed, the inbox just doubled.”
“I had been sending the same email to buyers and prospects for a year. The first week the bot ran with two different versions, my buyer reply rate tripled. Same offer, just the right tone for the right room.”
“My podcast is weekly, not three times a week, and the system still gave me four hours back every week and quietly added a fourth-figure month to my email revenue. I do not know why I waited.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that listen, write, and follow up while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
The twin email drop: common questions
Pulled from what readers and Automations Made Easy students ask most.
Won’t sending two emails per episode burn out my list?
No, because the second send is not a copy of the first. The bot rewrites the subject line and the body for the evening send, and the audience is filtered. People who already opened the morning email do not get the evening one. People who never open before noon get a fresh email that reads like a new piece of content, not a nag. The list does not burn because no single reader gets the same email twice in one day. What you double is the surface area, not the noise. My unsubscribe rate did not move when I switched from one send to two.
How do I keep buyer and prospect lists in sync with my ESP?
The bot does not maintain the lists, your email service provider does. Tag every contact as a buyer the moment they buy anything from you (a webhook from your checkout into your ESP does it in one line), and tag everyone else as a prospect by default. The bot only asks the ESP for the two segments at send time. If you switch ESPs later, only the connector at the start of the bot changes, the rest of the engine does not. ConvertKit, ActiveCampaign, Klaviyo, Brevo, and BooSend all expose the segment-by-tag endpoint this needs.
What if my podcast is weekly, not three times a week?
The bot does not care about cadence. The trigger fires when a new episode appears in your RSS feed, whether that is three times a week or once a month. The per-episode numbers on this page (~$40 to ~$70 of attributable revenue, ~90 minutes saved) are per episode, not per week. A weekly show ships ~50 episodes a year, so the annual numbers scale down proportionally, but the per-episode economics stay the same. Build it once at any cadence, the engine works on the cadence you record at.
Won’t AI-written emails sound generic?
They will if you let the bot write blind. They will not if you do two things. One: feed it the actual episode transcript, not just the title, so it can pull quotes and ideas directly from the show. Two: lock a brand-voice prompt that lists three adjectives, two phrases you never use, and three phrases you always use, so the model writes in your voice on every send. The emails the bot produces this way are short, specific, sound like me, and outperform the ones I used to write by hand. The reason is consistency, not magic.
How much does this actually earn in dollars?
Conservatively, each episode quietly carries around $40 to $70 of attributable revenue across the two emails combined. The buyers email tends to outperform because the audience already trusts the offer, the prospects email contributes nurture revenue and adds a lift on later sends. At three episodes a week, around 150 episodes a year, that is roughly $6,000 to $10,500 of yearly revenue you would not have had if the emails never went out. Over five years, with the list growing and the catalogue compounding, the math lands closer to ~$50,000 to ~$80,000+. The per-episode number is small. The compound across the year and across the list size is the part that matters.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Run this twin email drop yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics behind podcast-to-email automations like this and build your own at home, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through which trigger, segmentation tag, and email service provider would work for your specific list first, I take a small number of consulting clients each month.
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