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You've built a mailing list, and you're sending regular email marketing campaigns. But manually tracking who clicked what, which leads went quiet, which customers need a nudge, etc., is more than most teams can keep on top of.
Email marketing automation takes care of that for you.
What is email marketing automation?
Email marketing automation uses software to send pre-built emails based on triggers, conditions, or time intervals, rather than manual sends. You define the rules once ("send this email when a subscriber joins the list" or "follow up 48 hours after a purchase") and the platform handles the rest.
The key difference from standard email marketing is that automation makes personalization possible at scale. A single workflow can deliver different messages to different people based on their behavior, purchase history, or stage in the customer journey.
How email marketing automation works
Every automated email starts with a trigger: an event or condition that tells the platform to begin a sequence. Triggers can be behavior-based (a contact clicks a link or makes a purchase), time-based (a set number of days after sign-up), or list-based (a contact moves into a specific segment).
From there, the workflow follows a defined path, with conditions, delays, and branching logic built in. A basic welcome sequence might send one email immediately after sign-up and a follow-up three days later. A more complex workflow might branch depending on whether the first email was opened, sending a different message to those who didn't engage. For example:
Segmentation
Segmentation divides your audience into groups based on shared characteristics or behaviors, so automation workflows deliver the right message to each one. You can segment by location, purchase history, engagement level, or how a contact first found you.
Many platforms support dynamic segments that update automatically as contacts meet or fall out of criteria, so your lists stay accurate without manual maintenance. This is important because without good segmentation, even a well-built workflow ends up sending irrelevant messages, hurting both engagement and deliverability.
A/B and multivariate testing
Most automation platforms let you test variations within a workflow to find what works. Subject line testing is standard, but some tools go further with multivariate testing, letting you test multiple variables simultaneously rather than one at a time.
You can marry your A/B testing workflows with segmentation to create more targeted campaigns that personalize both the timing and content of your emails. Over time, this kind of systematic testing can significantly lift open rates, click rates, and conversions.
Common types of automated email marketing campaigns
Most teams start with one or two automation types and expand from there. These are the campaigns we see produce the clearest results earliest.
Welcome sequences
A welcome email is the first workflow most businesses build, and it's consistently one of the highest-performing. According to Omnisend data, welcome flows average $2.65 in revenue per recipient, with the top 10% reaching $21.18. A short sequence of two or three emails, introducing your brand, surfacing useful content or products, and nudging toward a first action, outperforms a single one-off message every time.
Abandoned cart emails
Cart abandonment automation is among the highest-value workflows for e-commerce businesses.
When a shopper adds items and leaves before completing their purchase, an automated reminder (or series of reminders) can bring them back. Abandoned cart emails carry an average open rate of around 50%, and top-performing flows generate as much as $28.89 per recipient, per Omnisend research.
Drip campaigns
Drip campaigns deliver a series of emails at set intervals, typically used to nurture new leads or onboard new customers. They work well for longer sales cycles, where building familiarity before asking for a commitment tends to produce better results than a single direct pitch.
Re-engagement campaigns
Not every subscriber stays active. A re-engagement workflow targets contacts who haven't opened or clicked in a set period, giving you a chance to win them back or confirm they should be removed from your list to protect your sender reputation.
Transactional emails
Order confirmations, shipping updates, and password resets are all transactional emails, and they tend to have the highest open rates of any type because people are actively waiting for them. Adding a relevant product recommendation or a referral prompt to a transactional email can generate meaningful returns from messages that would otherwise just confirm a fact.
Why email automation matters: the numbers
The performance gap between automated emails and standard broadcast campaigns is hard to ignore. According to Omnisend, automated messages account for 41% of all email-driven orders while representing just 2% of total sends. Overall, automated campaigns generate 320% more revenue than non-automated ones, according to research cited by OptinMonster.
The broader picture reinforces this. Email marketing as a channel already delivers an average return of $36 for every $1 spent, per Litmus research. Automation pushes that further: the top 10% of automated email flows earn $16.96 per recipient, compared with $0.95 for the top 10% of standard campaigns.
Time savings are another meaningful benefit. GetResponse research found that businesses using automation save around 30% on operational costs, with the three most cited gains being time efficiency, lead generation, and revenue growth. The upfront setup takes time, but the workflows keep working long after you've moved on to other things.
What to look for in an email automation platform
Not every platform offers the same depth of automation. Here's what's worth checking before you commit to one.
- Workflow builder: A visual, drag-and-drop builder makes it easier to map sequences and understand how branches connect. Campaigner's workflow builder supports both simple and multi-step paths with behavioral triggers and A/B conditions built in.
- Segmentation depth: Check whether you can segment based on purchase behavior, engagement history, and custom fields, not just basic demographics. Dynamic segments that update automatically are worth prioritizing.
- Testing capabilities: A/B testing on subject lines is a baseline expectation. Multivariate testing, which lets you test several variables at once, is a significant advantage for teams running high-volume campaigns.
- Multi-channel support: Email and SMS together can lift results for time-sensitive promotions. Campaigner's paid plans include combined email and SMS workflows. Klaviyo is another strong option here, particularly for e-commerce brands that want to coordinate across multiple channels.
- Deliverability tools: Your campaigns are only as effective as their ability to reach the inbox. List verification and reputation monitoring matter. Campaigner includes a Reputation Defender feature that periodically checks contact lists for risky email addresses, helping protect your sender score.
- Integrations: Your automation platform needs to connect cleanly to your CRM, e-commerce store, and analytics tools. Native integrations tend to be more reliable than third-party connectors that require constant re-authentication. Campaigner integrates directly with Shopify and Magento, while Mailchimp and ActiveCampaign cover a wider range of third-party tools.
- Analytics: Reporting should go beyond open and click rates. Look for revenue attribution at the workflow level, conversion tracking by segment, and the ability to compare performance across automation types.
Where to start
If you haven't built any automation yet, a welcome sequence is the right first move. It's high impact, low complexity, and useful for every new subscriber you add to your list. Set it up, measure results over a few weeks, then layer in abandoned cart or nurture sequences depending on your business model.
Most platforms, including Campaigner, Mailchimp, and ActiveCampaign, offer free trials. We'd recommend building at least one real workflow during that period, not just a test email, so you can properly assess how the builder handles branching logic and whether the reporting tells you what you need to know.
Automation rewards planning. Spending time mapping your customer journey before you start building will save you considerable rework further down the line.
