What this lesson covers
What should happen in the first days after someone says yes?
- The welcome sequence
- CRM (customer relationship management) basics and the business's system of record: POS (point-of-sale), booking and e-commerce platforms
- Automation triggers and workflows
- Designing an automation on paper first: trigger, goal, branches, exit rules, limits on how often one person is messaged, and testing
- E-commerce flows: browse abandonment, abandoned cart and post-purchase
- Service-business flows: appointment reminders, job follow-up and review requests
- Pipelines: tracking every inquiry through to a sale, from a plumber's estimate to a booked job, not only B2B deals
- SMS (text messaging) alongside email: when to text and when to email
- Two-way conversations: one inbox for texts, chats, social messages and email, and when to reply instead of broadcast
- Lead scoring and the handoff to sales in B2B (business-to-business)
- Personalization with segments and tags
- AI agents in the workflow: the knowledge they draw on, their scope and guardrails, handing off to a human, testing and measuring them (booking rate, handoff rate, cost per resolution)
Why this matters now
Placeholder for the lesson's opening story: a vivid, real moment where a marketer or small-business owner meets this exact problem.
You can now
Design welcome and automation flows that deliver a first win, with AI agents and people each in the right place.
For your own business or employer: Make the first days after someone says yes feel personal, without doing it all by hand.
Industry case studies
Industry Case
Ocotillo & Ash
DTC fashion · Demand creation
Case update 7.2
Module 7 of 8 in this case
The flows that work while Lena sleeps
Remember the woman from 1.2, the one who reached the size chart at 11 p.m., couldn't choose between medium and large, and closed the tab? Until now, nothing happened next. Lena never knew she was there.
Now four automated flows run on triggers from the store platform, the system of record for every order, cart and quiz result.
Welcome, after the size quiz: four emails over ten days. Her fit result, the Heat Promise, the Dressing for 110° guide, and real customers her height wearing the pieces. No discount anywhere.
Browse abandonment, when someone views the same product twice without adding it to the cart: one email with that product's fit reviews.
Abandoned cart, when the cart is left behind: an email after an hour, “Still deciding on size?” with a link to the quiz. A text after a day, only for people who opted in. A final email with the Heat Promise and free exchanges. Still no discount. The size chart was the problem, not the price.
Post-purchase, the flow most brands forget: care instructions on day two. Three days after delivery, “How's the fit?” with a one-click exchange, sent before the customer decides to return. A review request at 30 days. And at 45 days, for heat-dressers only, the piece that completes the outfit.
Tags sort every customer into the segments from 2.1, so occasion buyers don't get heat-dresser emails. Lena uses AI to draft subject-line variants, then rewrites them until they sound like her.
In its first month, the abandoned-cart flow recovers 31 orders that would have been lost.
Artifact added
Email and SMS flow map: welcome, browse abandonment, abandoned cart and post-purchase
Industry Case
Bajada Plumbing & Drain
Local home service · Demand capture
Case update 7.2
Module 7 of 8 in this case
The tech's photo arrives before the tech
Every message in Bajada's flow is triggered by the dispatch system, Bajada's system of record.
When a job is booked, a text arrives with the technician's name and photo, because Dana is letting a stranger into her house. When he's on the way, another text with an arrival time. When the job is done, a thank-you, the written price that was agreed, and a review link. That link goes to every customer, not just the happy ones. Then, for members, a water-heater flush reminder at six months and a renewal note at eleven.
Frank gets his own version: photos of the problem and the invoice, the same day, automatically.
Artifact added
Service flow map: booking, on-the-way, follow-up, review request and member reminders
Industry Case
Tepary Kitchen
Local restaurant · Local and offline
Case update 7.2
Module 7 of 8 in this case
Welcome to the club
When a guest texts TEPARY, the welcome arrives within a minute, in Rosa's voice: thank you for joining, here's this month's recipe card, and your birthday dessert is waiting.
The point-of-sale system connects the club to real visits. If a member hasn't come in for 30 days, they get one text with the Tuesday Tepary Table menu for that week. That's it. Tepary sends two to four texts a month, never more. Texts are personal, and a club that texts too often becomes a club people quit.
Artifact added
SMS flow: the welcome text and the first visit back
AI Advisor
AI AdvisorModule 7 · The live layer of this book
Email Sequence Advisor
Bring your lead magnet and your sequence. Leave with a list you own and a first win for every new subscriber.
Last updatedFirst brief coming
What’s current in email, SMS and automation
The first dated brief arrives when this advisor opens. It will track: Inbox providers' rules for bulk senders · Text messaging rules · The FTC rule on fake reviews and testimonials.
1 Coach my work
Bring your lead magnet, welcome sequence and retention plan and get coaching on your thinking.
2 What’s new in email, SMS and automation
Ask for the latest tools, platform changes and rules, each one dated and linked to its official source.
What to bring
- Your lead magnet, who it's for, and where people sign up: online, at the counter, at the door.
- Your welcome sequence or flow map: each message, its trigger, its timing and its job.
- Your system of record (point of sale, booking or store platform), and whether you text, email or both.
What the advisor does
- Tests the lead magnet: one problem, one segment, a real reason to share an email or number (7.1).
- Checks that the sequence delivers a first win before it asks, with triggers from the system of record (7.2).
- Suggests tags and segments from day one, and when to text vs. email.
- Reviews loyalty, review, referral and win-back plans, and flags consent questions in general terms (7.3).
What it won't do
- Give legal advice: it points you to the rule and the official source.
- Write reviews, or suggest buying, filtering or rewarding them.
Start here: one prompt for each lesson
7.1Build my opt-in
My audience is [who]. My lead magnet idea is [idea], offered [where]. Does it solve one specific problem well enough that someone would trade an email or phone number for it? Help me write the opt-in.
7.2Coach my welcome flow· This lesson
Here's my welcome sequence or flow map: [paste each message with its trigger and timing]. Does it deliver a first win before it asks for anything? Which triggers should come from my [point of sale, booking or store platform]?
7.3Keep and grow customers
Here's my retention plan: [loyalty, reviews, referrals, win-back]. What's missing, and which consent rules should I check, in general terms, before I send anything?
Try it with a case: Bajada Plumbing & Drain · Ocotillo & Ash · Tepary Kitchen Watch the advisor work on a case before you bring your own.
Open the live advisor: digitalmarketingessentials.com/advisor/7
Print-edition date added at printing. The advisor and its What’s current brief keep updating online.
Key terms
- Abandoned cart flow: Automated messages sent to someone who added items to a cart but didn't complete checkout.
- Appointment reminder: An automated message that reminds a customer of an upcoming booking, reducing no-shows.
- Browse abandonment flow: Automated messages sent to someone who viewed products but didn't add them to the cart.
- Conversational marketing: Marketing through two-way, real-time conversations, by text, chat or social message, instead of one-way broadcasts.
- CRM (customer relationship management): Software that stores customer contacts, history and interactions, so a business can manage relationships and follow-up in one place.
- Exit condition: A rule that removes a contact from an automation once it no longer applies, for example when the person buys, books or replies.
- Frequency cap: A limit on how many messages one person can receive in a given period, so overlapping automations don't flood them.
- Guardrails: The limits set on an AI agent: what it may and may not say or do, and when it must stop and pass the conversation to a person.
- Human handoff: The moment an AI agent or automation passes a conversation to a person, with the history attached, because the customer needs it or asks for it.
- Knowledge base: The approved information an AI agent draws on, such as services, prices, hours, policies and answers to common questions. An agent is only as good as its knowledge base.
- Lead scoring: Assigning points to leads based on their fit and behavior to judge how ready they are to buy.
- Marketing automation: Software that sends messages and performs tasks automatically based on rules, schedules or customer actions.
- Marketing-qualified lead (MQL): In B2B, a lead that meets marketing's criteria for interest and fit but isn't yet ready for a sales conversation.
- Personalization: Tailoring messages to a person using what the business knows about them, such as their name, interests, purchases or location.
- Pipeline: A set of stages that tracks each inquiry or deal from first contact to a sale, such as new inquiry, estimate sent, booked and won or lost.
- POS (point-of-sale) system: The system a business uses to ring up sales in person. It also records what was sold, when and often to whom.
- Post-purchase flow: Automated messages after a purchase that confirm the order, help the customer use the product, and ask for reviews or the next purchase.
- Review request: An automated message, sent after a job or purchase, that asks the customer to leave a review.
- Sales-qualified lead (SQL): In B2B, a lead that sales has accepted as ready for direct sales follow-up.
- SMS (text messaging): Marketing by text message, best for short, timely messages to people who have opted in.
- System of record: The main system that holds the true record of customers and transactions, such as the POS, booking platform or e-commerce platform.
- Tag: A label attached to a contact in a CRM or email platform, such as "VIP" or "bought-boots," used to segment and personalize messages.
- Trigger: An event that starts an automation, such as a sign-up, a purchase, an abandoned cart or a completed appointment.
- Unified inbox: One place where a business sees and answers messages from every channel, such as texts, web chat, social messages and email.
- Welcome sequence: A series of automated emails or texts sent to a new subscriber or customer in the first days after they sign up or buy.
- Workflow: The set of steps an automation follows after a trigger: messages, waits, conditions and actions. Also called a flow.