Published on January 21, 2026/Last edited on January 21, 2026/20 min read


An email marketing strategy can still deliver some of the strongest returns in a channel mix. It’s dependable, measurable, and built on a direct relationship with people who’ve chosen to hear from you.
Email use hasn’t slowed down, either. In 2020 there were 4 billion email users and by 2027, that’s expected to be 4.85 billion, sending around 408.2 billion emails worldwide. That reach is part of why email remains such a valuable asset. It’s a consistent way to communicate across the customer lifecycle, from onboarding and education to launches, renewals, and win-back.
But many brands hit a plateau once email becomes more about volume than progress, and teams stop revisiting what’s running and why. A modern email strategy can turn email into an always-on system tied to clear goals, first-party data, lifecycle campaigns and journeys, and ongoing optimization.
Short on time? Here’s a quick summary:
An email marketing strategy matters because it replaces guesswork with a plan you can measure and improve. It helps teams send more relevant messages, drive specific outcomes, and build stronger customer relationships over time.
With a strategy in place, it’s easier to:
An email marketing strategy also helps protect email’s ROI. According to the State of Email Report 2025, for every $1 marketing leaders spend on email, 35% see $10-$36 in return, 30% see $36-$50, and 5% see more than $50. A “~40:1” ROI benchmark therefore is within reach for many teams, and some exceed it.

An email marketing strategy is an always-on plan for how your brand uses email to reach specific goals. It outlines who you’re messaging, what you’ll send, when you’ll send it, how email connects with other channels, and how you’ll measure performance and improve over time.
Your strategy is larger than a one-off campaign or a single send because it creates a system you can repeat, test, and refine.
An email marketing strategy typically includes:
The next step is turning your plan into a detailed and repeatable system. These steps help you to keep improving performance over time.
Having well-defined goals makes it easy to see if your campaign—or your overall email program—is effective. It’s the best way to really get to know your audience, find out what works and what doesn’t, and strengthen the strategy.
These goals also serve to align teams and broader business needs, guaranteeing that there are common, shared objectives across the company.
To make goal-setting more actionable, map goals to key lifecycle stages:
From there, turn each goal into something measurable and time-bound. For example, you might aim to increase 90-day retention by 30% for new subscribers who complete onboarding, grow newsletter-driven revenue by 15% this quarter, or reduce churn in a high-risk segment by 10% through a win-back journey.
If you want consumers to connect with your brand, then understanding your audience and personas is key to making that happen. The more you can segment your emails, the better chance you have of making that connection and understanding what it is your audience wants the most.
Personas are a useful starting point, and behavioral analysis helps you get more specific. First-party data shows you what people browse, buy, click, and ignore, plus how their engagement changes over time. Dynamic segments tend to outperform static lists, because they keep targeting relevant by updating as behavior changes, without constant manual upkeep.
List growth matters here, too, because acquisition sources shape the quality of your segments. Capture the signals you’ll need later, like interests, product preferences, location, and channel opt-ins, then build subscription preferences so people can choose what they want from the start. Over time, this keeps list growth from turning into a relevance problem and gives you cleaner first-party data to personalize with.
A customer engagement platform can help you build dynamic audiences guided by customer insights and use predictive intelligence to anticipate where customer journeys will go, moving people in and out of relevant segments as behavior changes. And with AI, you can anticipate customer behaviors using rich, first-party insights and target customers based on their propensity to purchase, churn, or take another high-value action.
A strong email program uses a consistent mix of email types, with each one tied to a clear lifecycle goal. That way, every send has a purpose, and you can balance short-term revenue with longer-term engagement.
Here are the core email types to include, and what they’re designed to support:
Customers move between channels depending on context, preferences, and where they spend their time. That’s why email strategy works better when it’s planned as part of an omnichannel journey, with the right channel mix for your audience and your business. A customer engagement platform can help you orchestrate these touchpoints in a single flow, using tools like Braze Canvas, so timing, message logic, and personalization stay consistent across channels.
Common journey examples include:
Designing and crafting the ideal email goes a long way toward boosting open and click-through rates. Enticing subject lines help encourage recipients to open the email, while tone of voice, way images are positioned, or even the colors used can help improve the quality of the messages you send, reinforcing brand awareness and supporting increased loyalty.
Start with the fundamentals that shape engagement. Subject lines and preview text should set clear expectations and match what’s inside the email. Keep the layout scannable with a clear hierarchy, short sections, and a single primary CTA. A mobile-first approach matters here too, since many subscribers will read on their phones.

A quick creative checklist can help teams stay consistent across campaigns:
Using dynamic content blocks, you can tailor emails by lifecycle stage, product interest, location, preferences, and recent behavior. That can include item recommendations, localized offers, and tone variation by audience, while keeping your brand voice consistent.
As you scale this approach, tools like BrazeAI can help in two key areas:
Automation is a time saver when it comes to email. Set up workflows within your email marketing strategy that trigger when subscribers take specific actions. This allows you to plan and create messaging sequences in advance, to be sent when customer behavior calls for it. With these planned emails running in the background, you have more time to focus on other areas of your marketing plan.
High-impact automated workflows often include:
A customer engagement platform can help manage this logic in one place, so triggers, timing, segmentation, and personalization stay aligned as your program grows.
Deliverability depends on the signals inbox providers use to decide whether your emails belong in the inbox, promotions, or spam. In 2026, that comes down to reputation management, authentication, and list quality, with spam complaints and bounces carrying real weight. Apple’s Mail Privacy Protection also means open-based signals need a more cautious read.
A few practices make the biggest difference over time:
Send frequency affects deliverability and relevance. Use engagement trends and preference signals to set different rhythms for different groups, like lighter sends for low-engagement subscribers and higher-touch messaging for active shoppers or new users in onboarding.
A measurement framework helps you understand the success of your email marketing strategy—what’s working, where customers are dropping off, and which changes are worth making next. With Apple’s Mail Privacy Protection, open rate can still offer directional context, but it’s no longer dependable enough to use as a primary success metric or a trigger for big program decisions.
Instead, focus on KPIs that connect directly to customer actions and business impact:
To make these metrics more useful, tie them back to outcomes that leadership cares about. For example, onboarding and education emails should move activation and lift long-term value, while retention programs should reduce churn and increase customer lifetime value (LTV).
Promotional and lifecycle triggers should show a clear link to revenue, like incremental purchases, upgrades, renewals, or higher average order value.
Over time, this view helps you balance short-term performance with the programs that keep customers engaged and spending.
Measurement tells you what happened. Experimentation is how you decide what to change next. A customer engagement platform that supports testing, optimization, and AI decisioning makes it easier to improve timing, content, and journey logic at scale, then roll what works into your always-on program.
To support that kind of experimentation, look for capabilities like:
Journey orchestration brings data from multiple sources into a single view of the customer, so you can act on it in one place, or trigger campaigns based on audiences defined in your data warehouse. With a customer engagement platform that fits into your tech stack, you can keep data flowing between systems as your needs change.
Orchestration also makes experimentation more useful, because you can test sequencing, timing, and channel mix across the journey, then optimize based on real behavior.
Look for testing support that lets you move from simple A/B tests into multivariate testing, where you can measure how combinations of variables perform together, like subject line + offer + layout.
It also helps to have optimization tools that can adjust delivery and content, such as send-time optimization, variant selection based on predicted engagement, and journey path optimization that routes customers into the next best step based on behavior.
AI decisioning can take this further by using outcomes to decide what to send next for each customer, balancing business goals with what each person is likely to respond to.
Tracking and coordinating the insights from your emails to personalize a customer’s experience can have a positive effect on your customer relationships and bottom line. But it’s normal for audiences and their behaviors and preferences to change over time, creating a challenge for marketers. With dynamic segmentation and real-time analytics that populate and update based on subscriber behavior, brands can gain an in-the-moment understanding of their audience and use it to provide timely experiences for each individual user.
An email marketing or email campaign strategy focuses on how you use email to communicate, convert, and retain.
A customer engagement strategy takes a wider view and covers how your brand shows up across the channels your audience uses, as well as how those channels work together.
Email fits inside that broader plan as a reliable channel for messages that benefit from clarity and depth, like onboarding, education, product updates, and transactional communications.
Other channels may lead when timing and context matter more, like real-time alerts, short prompts tied to in-app behavior, conversational support, or community-led engagement. The right mix depends on your audience, product, and how people prefer to interact with your brand.
Whatever your strategy, consistency is key. Customers should get coordinated messaging across channels, with the same offer logic, tone, and next step, even when the channel changes.
These best practices focus on how to run email as an always-on program, so it stays relevant as your audience, product, and channel mix evolve.
So what exactly does a successful email marketing strategy look like? Here are a few examples to help inspire you.
BlaBlaCar is a France-based carpooling platform that sought to reach customers more effectively through email and improve opens.
BlaBlaCar wanted to lift email open rates across markets while keeping the approach simple enough to scale.

The team ran structured tests around sender identity, starting with two hypotheses. Recipients would be more likely to open emails from a person’s name, and the strongest sender-name style would vary by country.
BlaBlaCar saw open rates increase by up to 24%, with first-name senders driving 20%+ higher opens than messages sent from the brand name.
Canva is a design platform that wanted to improve feature adoption messaging while making it easier to keep content current for new launches.
The team needed a better way to surface relevant features to different users, support stickiness, and update communications quickly as new features shipped.

Canva built personalized feature-adoption campaigns that matched users to the most relevant product features, then scaled that approach across hundreds of campaigns and variants.
Canva increased message opens by 55% and clicks by 47%, and lifted feature adoption by up to 8%, with downstream impact on retention and revenue. The team also saved about 1,000 hours of production time while optimizing for 25 features with 200+ variants.
KFC Spain is known for bold, witty marketing and a playful brand voice. But years of complaints about its fries started to erode trust, and the team needed a launch plan that could win customers back.
KFC Spain’s fries were the brand’s most complained-about product, driving negative reviews and lost transactions. After reformulating the recipe, the team needed a way to reintroduce fries to customers who had already written them off.

KFC Spain used historical purchase data to identify customers who had ordered the old fries, then sent each person a personalized message that matched their past purchases. The “Fries Compensation” program offered customers the exact value of fries they’d previously bought, and the campaign extended beyond owned channels through social engagement and public-facing transparency.
Stash is a personal finance app that helps Americans invest and build long-term wealth, starting in small increments. The team focused on improving onboarding so more new users could make it through key setup steps and start investing.
Stash wanted to reduce drop-offs during onboarding and increase activation. The process can be complex, and the team needed messaging that could build confidence and guide users through the next step.
Stash built a multi-step onboarding journey that personalized messaging based on where each user dropped off. Using real-time segmentation and behavioral triggers across multiple channels, the team tailored content to the next action each user needed to take and tested variants to improve performance.

The right platform makes email easier to scale without losing relevance. When you’re comparing options, focus on how well the technology supports orchestration, data access, experimentation, deliverability, and measurement across your full lifecycle.
Here’s what to look for in a customer engagement platform.

Platforms offer different strengths, which you’ll need to consider as you evaluate options:
Strong email programs are easier to manage when a few fundamentals remain consistent:
If you want a straightforward way to put this into practice, our 30-day plan covers the basics without trying to rebuild everything at once.
Review campaigns and always-on workflows, segment logic, list health, and deliverability signals. Check how you’re using first-party data today and where targeting or journeys feel out of date.
Choose one or two goals for the quarter, map them to lifecycle stages, and define success criteria. Make sure reporting ties engagement to outcomes, so priorities stay clear.
List the lifecycle moments that matter most, then decide which journeys to support and which channels you’ll use. Set basic rules for eligibility, suppression, and next steps so messaging stays coordinated.
Build a welcome series, then add one journey tied to your goal, like abandonment, post-purchase, replenishment, renewal, or win-back. Add personalization where signals are reliable, and use variants and path logic to keep the experience relevant.
Set a steady optimization rhythm. Use the testing and optimization tools you have, then apply learnings back into journeys, audiences, and content so performance keeps improving over time.
Ready to take your email program from ad hoc sending to strategic, AI-powered engagement? Discover how Braze helps teams build, automate, and optimize high-impact email strategies.





