What does a lifecycle audit include?

I map your full user journey from signup through activation, conversion, and retention. You get a report that shows exactly where people drop off, what triggers you're missing, and a prioritized list of fixes ranked by impact. Each recommendation comes with a projected improvement so you can see what to tackle first.

Do you only work with B2C?

No. I work with any SaaS or subscription business where users need to activate and convert. That includes B2B with a self-serve or product-led motion. If people sign up for your product and you need more of them to stick around and pay, we should talk.

What does a typical engagement look like?

It usually starts with a 2-week audit, then moves into implementation where I build out your lifecycle architecture. That takes 1 to 6 months depending on complexity. I can embed with your team or work independently, whatever gets things done faster.

How fast will I see results?

Quick wins from the audit usually show up within 2-4 weeks of implementation. The bigger structural changes to activation and retention take 2-3 months to fully compound. Most clients see measurable improvement in core metrics within the first 30 days.

What tools do you work with?

I'm platform-agnostic. Braze, Iterable, Customer.io, OneSignal, Mixpanel, Amplitude, Segment, and others. Strategy comes first, then we pick the right tools. I also work directly with engineering teams when off-the-shelf tools aren't enough.

How is this different from hiring an agency?

Agencies think in campaigns. I think in systems. I don't just send more emails. I build the triggers, conditions, and flows that make your lifecycle self-reinforcing. You end up with a system that improves retention on its own, not a content calendar.

What's the difference between lifecycle marketing and email marketing?

Email marketing is a channel. Lifecycle marketing is a system. It covers the entire user journey across every touchpoint: email, push, SMS, in-app messaging. Instead of blasting campaigns on a schedule, lifecycle architecture triggers the right message at the right moment based on what a user actually does. The goal is behavior change, not inbox volume.

How do you measure success?

Revenue. Everything I do ties back to activation rate, trial-to-paid conversion, retention rate, and LTV. I set up dashboards so you can see exactly how each lifecycle flow performs. Vanity metrics like open rates are nice but they don't pay the bills. We track what actually moves the business.

Can you work with my existing team?

Absolutely. I often embed alongside product, growth, and engineering teams. I can lead the lifecycle strategy end-to-end or collaborate with your existing marketers to level up their approach. Either way, I transfer knowledge so your team can maintain and iterate on the system after I leave.

What if I already have email flows set up?

Most companies do. The question is whether they're working. I start by auditing what you have: what's converting, what's dropping off, and what's missing entirely. In almost every case, there are high-impact gaps in the journey that existing flows don't cover. I build on what's working and fix what isn't.

Dotdigital Lifecycle Engineering Guide

Table of Contents

When Dotdigital Makes Sense
Getting Started
Events
Attributes
Journeys
Email
APIs and Integrations
Reporting
QA
Videos, Repositories, and Resources
Frequently Asked Questions
Is Dotdigital only for ecommerce lifecycle marketing?
What is the most important technical decision in a Dotdigital setup?
How should teams QA Dotdigital automations?

When Dotdigital Makes Sense

Dotdigital is a practical lifecycle platform for B2C teams that need email, SMS, segmentation, ecommerce integrations, and automation without taking on the operational weight of a full enterprise suite.

It works best when the marketing team owns the message calendar but technical lifecycle work still matters: clean contact data, event-driven segments, reliable suppression, testable templates, and reporting that ties automations back to retention or revenue.

If your program depends on complex product events, account-based B2B objects, or data warehouse-first orchestration, Dotdigital can still fit, but the architecture needs to be explicit from the beginning. The mistake is treating it like a newsletter tool when the customer lifecycle actually requires an event and data model.

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Getting Started

Start by mapping the lifecycle outcomes Dotdigital will own. Common first builds include welcome flows, abandoned cart, browse abandonment, post-purchase education, win-back, replenishment, subscription renewal, and reactivation.

Before building automations, define the source of truth for each field. Some values come from ecommerce integrations, some from forms, some from backend events, and some from computed segments. Every journey should have a clear answer for where the data comes from, how often it updates, and what happens when it is missing.

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Events

Dotdigital programs become more useful when they are triggered by behavior, not just list membership. Treat every lifecycle moment as an event contract:

account_created
product_viewed
cart_abandoned
order_completed
subscription_renewal_due
payment_failed
customer_reactivated

Each event should include enough properties to support segmentation and personalization. For an abandoned cart flow, the payload should include cart value, product category, item count, currency, locale, and recovery URL.

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Attributes

Attributes should describe the current known state of the contact. Useful lifecycle attributes include lifecycle stage, consent status, preferred channel, first purchase date, last purchase date, plan type, renewal date, churn risk, and predicted next order date.

Keep attribute names stable. Changing naming conventions after journeys are live creates broken personalization, stale segments, and reports that cannot be trusted.

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Journeys

Build journeys around eligibility, suppression, branch logic, message rendering, and measurement.

A good Dotdigital journey includes:

Entry rule based on a clear segment or event.
Suppression checks for purchasers, unsubscribed users, active support issues, and users already in a conflicting journey.
Branches based on behavior, channel consent, lifecycle stage, and order history.
Goal events that remove contacts once the problem is solved.
Reporting that connects message engagement to the business outcome.

The goal is not a longer automation. The goal is a journey that exits users at the right time and does not keep talking after the customer has already acted.

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Email

Email templates should be designed as reusable components: header, body modules, product rows, offer blocks, education blocks, legal footer, and unsubscribe logic.

QA every template with missing fields, long product names, empty product images, discount edge cases, expired links, and non-English characters. A technically correct lifecycle system still fails if the email cannot render safely under real customer data.

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Need technical help with Dotdigital?

Get implementation support for events, attributes, journeys, QA, migrations, reporting, and email engineering.

APIs and Integrations

Dotdigital implementations usually depend on a mix of native ecommerce integrations, form capture, API updates, and third-party data movement. Document which system can create or update contacts, which system controls consent, and which integration sends behavioral events.

For larger teams, create a lightweight integration map:

Source system
Destination object
Trigger condition
Required fields
Optional fields
Failure handling
Owner

This becomes the debugging map when a contact qualifies for the wrong segment or does not enter a journey.

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Reporting

Report on lifecycle outcomes, not just campaign engagement. Open rate and click rate are useful for diagnosing message performance, but they do not prove that the journey worked.

Tie Dotdigital reporting to outcomes such as recovered carts, repeat purchase rate, subscription renewal completion, churn reduction, activation, revenue per recipient, and incremental lift where holdout testing is possible.

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QA

Before launch, test the journey with seeded contacts that cover the edges:

New subscriber with no purchase history
Repeat buyer with multiple categories
Customer with missing first name
Unsubscribed contact
Contact already in another journey
High-value cart
Expired recovery URL
Renewal date inside and outside the entry window

The QA matrix should verify entry logic, suppression, branch behavior, personalization, links, tracking, and exit conditions.

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Videos, Repositories, and Resources

The Dotdigital hub should eventually connect each tutorial to its video walkthrough, GitHub repository, downloadable QA checklist, event schema, JSON payload examples, SQL reporting queries, and journey blueprint.

Start with one high-value build: abandoned cart or post-purchase retention. Publish the architecture, payloads, QA notes, and troubleshooting steps so the page becomes a technical reference instead of a generic platform overview.

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Frequently Asked Questions

Is Dotdigital only for ecommerce lifecycle marketing?

No. Ecommerce is a strong fit because of the integration ecosystem and common lifecycle use cases, but the same architecture applies to other B2C programs when contacts, events, consent, journeys, and reporting are modeled cleanly.

What is the most important technical decision in a Dotdigital setup?

The contact and event data model. If fields are inconsistent, missing, or updated by too many systems without ownership, journeys become difficult to trust and QA.

How should teams QA Dotdigital automations?

Use a launch checklist with seeded test contacts, payload variants, missing-field tests, suppression checks, link checks, render checks, and goal-event validation before turning the journey on for production traffic.

Other platforms

Customer Engagement Platform

Dotdigital Lifecycle Engineering