The email marketing playbook: Tools, tactics & tricks that actually work

Key takeaways

• You need an email marketing tool that’s more than a newsletter sender. Prioritize platforms that integrate automation, audience management, analytics, and robust design into one simple-to-manage system. Start with your list of non-negotiable functions. Then evaluate tools against that list rather than running after every feature you might possibly want.
  
  
• You should think of automation as a core competence, not an add-on, because it allows you to send the right message at the right moment with minimal human intervention. Start with some easy win flows like welcome, abandoned cart, and re-targeting. Then grow from there.
  
  
• You’ll achieve improved results when you intelligently manage your audience with segmentation and dynamic content instead of sending the same email to everyone. Behavior, purchase history and engagement levels go a long way toward creating smaller, more relevant segments that get tailored messages.
  
  
• It’s time to look past open rates and leverage deep analytics to discover how email drives revenue, conversions, and long-term engagement. Measure click-through rate, conversion rate, average order value, and customer lifetime value to decide if your strategy is working.
  
  
• You need to care about deliverability because the best email doesn’t matter if it never gets to the inbox. Keep a clean list, practice permission-based email marketing, and track your sender reputation so your email is trusted by subscribers and ISPs.
  
  
• You’ll deliver sustainable results when you choose your tools based on a well-defined strategy that sets goals, builds quality lists, delivers consistent value and regularly measures success. Establish quarterly goals, conduct A/B experiments on variables like subject lines and copy, and optimize according to what the data says.

Email marketing tools are the software platforms you use to create, deliver, and monitor email campaigns that truly drive your revenue goals.

You leverage them to segment audiences, score leads, run automated journeys, and measure performance in real time. For most teams, they occupy the heart of customer communication and nurture programs.

To choose wisely, you need a transparent view of features, integrations, and long-term fit with your stack.

What are email marketing tools?

Email marketing tools are software platforms you use to create, send, and manage email campaigns at scale. They assist you in designing emails, storing and segmenting contacts, automating journeys, and measuring performance for newsletters, promotions, and transactional messages. If your team still relies on broad campaign sends for announcements, offers, or updates, it’s worth understanding how email blast programs fit into a wider email strategy.

1. Core functions

You use email marketing tools to handle the full lifecycle of an email campaign: planning, building, sending, and reporting. Most platforms cover a similar core set: email templates, contact lists, scheduling, and basic tracking.

The distinction is how clean the interface feels, how fast you can get things done, and how well the tool integrates with the rest of your stack. More powerful tools act like a hub for messaging. They gather customer data from your CRM, ecommerce platform, or product database, then enable you to send campaigns and trigger newsletters, promotional emails, and transactional emails, for example, order confirmations or password resets, all from one interface.

If a platform can’t integrate cleanly with Salesforce, HubSpot, Shopify, or your data warehouse, it’ll bog you down down the road.

2. Automation power

Automation is when your email marketing tools go from being a “campaign sender” to a “revenue engine.” You configure workflows and triggers, so the platform fires off messages when a customer signs up, leaves a cart behind, reaches renewal, or a usage milestone in your product.

Some examples include a welcome series, a post-purchase flow, and a renewal reminder journey. Search for tools that enable visual, drag and drop journey builders, support branching logic, and can react to real-time events from your CRM or product, not just list-based events. If you’re choosing between mainstream and ecommerce-led options, a side-by-side look at Mailchimp vs. Klaviyo can make those differences clearer.

This is what enables you to graduate from mass broadcasts to personalized, behavior-based programs without hiring additional staff.

3. Audience management

Audience management is what keeps your database usable as it grows. Top tools provide flexible segmentation based on attributes (country, plan type, lifecycle stage) and behavior (opens, clicks, purchases, feature usage).

Awesome tools let you sync segments directly with your CRM and analytics stack, so you don’t end up maintaining parallel “truths” about your customers. You need solid hygiene and governance features: consent tracking, bounce and unsubscribe handling, and role-based access.

If you work cross-region, make sure the platform can accommodate different consent rules and unsubscribe preferences per market without manual labor.

4. Performance analytics

Analytics is where you see if your emails really influence behavior. All reputable tools will display open, click-through, unsubscribe, and conversion rates. The more robust platforms allow you to explore further into revenue attribution, cohort performance, device breakdowns, and A/B testing results across subject lines, send times, or content blocks.

You want dashboards that tie email performance back to your commercial metrics. For example, revenue per send, trial-to-paid conversion driven by onboarding flows, or average order value uplift from post-purchase cross-sell emails.

Integration with your analytics or BI tool makes these insights more reliable over time. A few vendors offer free plans or trials, which is great for trying out reporting quality before you commit budget. As your volume grows, anticipate pricing to scale based on contact count, send volume, and advanced analytics features.

5. Design capabilities

Design controls how fast your team can ship on brand, accessible emails. Almost all tools have drag and drop editors, reusable blocks, and responsive templates that work on mobile and desktop.

Better tools bring modular design systems, shared asset libraries, and easy collaboration so marketing, design, and legal can work without version madness. See how dynamic content, localization, and personalization are handled by the editor.

If you want to swap images, pricing, or messaging by segment or region, the tool should make that simple without needing code for every variation. A slick, intuitive UX in this area saves hours a week and prevents errors at scale.

The free vs. premium dilemma

Free vs. Premium isn’t a “nice-to-have” characteristic for email tools. It’s whether your platform can plug into your stack, safeguard your data and make customers experience your brand differently in the next 6–24 months.

Cost

Free plans seem appealing when your list is micro and your cash is constrained. You pay in other ways: restricted email sends, small list caps, limited automation, and no real support when something breaks. Many of these “free forever” tools even display ads or monetize by selling user data to third parties, which is a definite risk if you’re concerned about brand trust and compliance.

You’ve gotta think unit economics. If you can pull in even USD 1 to 3 per subscriber per month of revenue from a well-run program, a paid plan suddenly makes a lot of sense. So a 5,000 contact list generating USD 2 a subscriber a month would be USD 10,000 in revenue. Spending a couple hundred bucks a month on a premium tool with clean UX, strong integrations, and stable deliverability is not a luxury, it’s infrastructure.

Email lists are not high-value assets overnight. It typically takes 6 to 12 months of acquisition, segmentation, and testing before you have a list that justifies serious spend. Free plans are nice for this early phase if you consider them a staging ground, not a forever home.

Features

Free tiers give you the basics: simple broadcasts, a few templates, and very light analytics. Once you want behavior-based journeys, dynamic personalization, or actual proper A/B testing, you nearly always encounter a paywall. You run into integration walls: shallow or no connections to your CRM, ecommerce, or analytics tools, which keeps your data siloed and limits your view of the customer.

Premium plans unlock the features that really shift the customer experience needle. You get event-based workflows, advanced segmentation, multichannel triggers, such as email and SMS, and deeper reporting. You tend to get a cleaner interface and more consistent UX, which counts when several team members are frantically building campaigns. For creator-led businesses weighing simplicity against functionality, comparing Kit vs. MailerLite is a practical next step.

Support is an additional hidden feature. Most free plans have no live help or slow ticket responses. If you use email for launches, renewals, or billing notifications, the absence of responsive support is a risk, not a cost savings. For a serious program, you want a vendor that will troubleshoot deliverability, integrations, and API issues with you.

Scalability

Scalability is where the free versus premium question pops up. As your list grows, subscriber and monthly send caps compel you to upgrade or fragment data across tools. That fragmentation destroys your capacity to drive cohesive journeys and consolidate metrics.

If you anticipate expanding from 1,000 to 50,000 contacts in the next 12 to 24 months, then judge tools not by what they do this quarter, but by how gracefully they handle that growth. A scalable email platform provides a transparent pricing ladder, predictable costs as volume grows, and an integration ecosystem that can accommodate additional channels and data sources down the road.

You should be able to plug into your CRM, ecommerce engine, product analytics, and CDP as your stack matures without rebuilding everything. Ultimately, the free vs. Premium decision is a function of your growth horizon, your willingness to invest, and how core email is to your revenue engine.

Key features of modern tools

You require email tools that silently and seamlessly plug into your stack, stay out of your team’s way, and make it apparent where they shift the needle on customer experience and revenue. The features below are where that value tends to manifest in practice.

Intelligent automation

Smart automation ought to minimize manual efforts across the lifecycle rather than provide an additional workflow to babysit. At the very least, you desire visual, drag-and-drop journey builders that integrate with your CRM, analytics, and product data, allowing you to initiate flows based on events like initial purchase, trial activation, or support tickets.

Powerful tools integrate data from various platforms and maintain cohesive profiles, so your ‘welcome,’ ‘win-back,’ and ‘post-purchase’ sequences all operate based on an identical, updated customer perspective. Contemporary tools layer AI on top of these flows.

You see AI-powered subject line assistants that create dozens of versions for the same campaign and then automatically route traffic to the top performers. Some take things even further with AI-driven content generation within the email body, suggesting copy in your brand voice while experimenting with different tones, lengths or offers by segment.

Advanced segmentation

Segmentation is where you transform raw data into actionable targeting. You’ll want to anticipate realtime filters on behavior (opens, clicks, website events, product usage), attributes (location, role, industry), and transaction data.

Good tools allow you to save and reuse these as blocks across campaigns and flows, which keeps your targeting consistent over time. For commerce and subscription businesses, RFM analysis is paramount. If you run a creator business, newsletter brand, or digital product operation, this is also where a focused comparison like Kit vs. MailerLite becomes useful.

You want to segment based on RFM to identify who’s churning and who’s primed for an upsell or cross-sell. A robust platform makes this visual and actionable, so your “high value, low recency” group can move directly into a customized win-back series with different offers than “new but low value” customers.

Dynamic content

Dynamic content is where you preserve the customer experience while scaling volume. Rather than cloning campaigns for each segment, you use dynamic blocks within one template. These blocks swap according to behavior, location, product interest or lifecycle stage, so a returning customer sees different recommendations than a first-time browser while the rest of the layout remains the same.

This is where the UX inside the editor counts. Seek out a drag-and-drop HTML builder that lets non-technical marketers define and preview these blocks without struggling with code. Large template libraries make you go quicker.

You can begin with a strong, mobile-friendly design, then add customization. This decreases risk because you aren’t reinventing layouts from scratch each time. Mobile-friendly design is non-negotiable.

By default, your tool should provide responsive templates, real device previews and controls for things like font size and image stacking on small devices. If your customers can’t read or tap comfortably on a 6-inch screen, the rest of your sophistication is irrelevant.

A/B testing

A/B testing is how you connect all this power to quantifiable results. Compare versions of subject lines, send times, layouts, CTAs, and dynamic content logic within a single campaign. Then automatically roll out winners once a clear result emerges.

Great tools surface statistical confidence in plain language, so your team can take action without a data scientist. Seek testing that functions across both one-off campaigns and automated flows.

For instance, test two onboarding flows for new users or two blocks of product recommendations in a replenishment flow. Other tools now pair testing with AI assistance, leveraging your previous results to propose which variant to test next rather than having your team guess.

Crafting a winning strategy

Email marketing tools pay off only when you link them directly to growth objectives, data platform, and real customer experience enhancements. Strategy first, platform second. The platform should support strategy, not drive it.

Define goals

Begin with 2 to 3 specific, measurable goals that align with business priorities. Examples include increasing qualified leads by 20% in 6 months, lifting the repeat purchase rate by 10%, or moving the trial-to-paid conversion from 12% to 18%.

Your email tool should simplify the process of translating these targets to relevant campaigns, segments, and lifecycle stages. You don’t only have commercial metrics; you define what customer experience outcomes you want to achieve.

For instance, accelerating time to value for new users with a 7-day onboarding sequence or reducing support tickets by delivering targeted educational emails based on product usage. Tools with robust integration ecosystems assist here, as you can bring in product, sales, and support data to map out these flows.

Translate goals into user stories the tool must support: “Marketing needs to trigger a win-back journey when a subscriber has not opened in 60 days,” or “Sales needs to see the last 5 emails sent inside the CRM record.” These stories help you remain focused on real workflows rather than vague features.

Build lists

Your list strategy must be consent-first, structured, and integrated. Move away from one giant “master list” and toward purpose-built segments tied to lifecycle and intent: new subscribers, evaluators, first-time buyers, high-value customers, dormant users.

Your email tool should allow you to construct these segments dynamically from CRM fields, product events, and website behavior. Prioritize sources you can control and measure: on-site forms, gated content, webinars, product trials.

For every touch point, outline what info you gather (for example, role, company size, product interest) and where it resides permanently. Tools with clean UX on form builders and native integrations into your CRM or customer data platform really reduce operational friction.

Put data quality front and center. Standardize fields, validate, and name conventions early. If sales are in one system, product analytics are in another, and support tickets are in a third, prefer an email platform that has stable, well-documented connectors or supports a customer data platform as the single source of truth. If list quality is already an issue, these email verification tools are a smart companion read before you scale sends.

Create value

Each email needs to justify its space in the inbox. Anchor content plans to pinpoint problems your audience is trying to solve and the stage they are at. For instance, a new SaaS trial user gets a five-email onboarding series with short videos and one key action per message.

A long-term customer receives quarterly product roadmap updates and best-practice playbooks. Leverage your tools’ integration horsepower to tailor based on actual behavior, not assumptions.

For example, if a user churned after onboarding but never used a power feature, send a use-case email with a three-step walkthrough. If a B2B lead attends a pricing webinar and views your comparison page, send proof points and customer stories, not another generic newsletter.

Prefer easy-to-scan layouts and obvious UX to heavy design. A clear, predictable layout with a brief subject line, significant preview copy, and a dominant call-to-action almost always beats visually cluttered templates.

Be certain your platform’s editor simplifies this for non-technical marketers without necessitating continual developer assistance. Balance automated with human signals. Automate the obvious journeys (welcome, onboarding, renewal, re-engagement), but keep some space for manual, well-timed broadcasts when the market moves or your product changes. That balance is exactly why many teams still rely on email blast programs alongside more advanced automations.

The right tool lets you combine automated flows with ad-hoc sends while maintaining visibility into what each contact receives.

Measure success

Establish a tight metric system prior to scaling campaigns. At a minimum, track delivery rate, open rate (directional only, given privacy changes), click-through rate, conversion rate to your primary goal, revenue per send, unsubscribe rates, and spam complaint rates.

Just be sure that whatever email platform you use can tie these metrics to contact segments and specific lifecycle stages. Go beyond vanity metrics and tie email performance to downstream outcomes in your CRM or analytics stack.

For instance, measure how nurturing sequences impact sales cycle length, average deal size, or product adoption milestones. Solutions with rich integration ecosystems and powerful APIs make these joins much sturdier and minimize manual reporting effort.

Make experimentation a discipline, not an afterthought. Conduct disciplined A/B tests of subject lines, sending times, and content formats. Test on deeper questions like onboarding sequence length or discount versus value messaging in re-engagement campaigns.

The best-fit platforms bring to the surface results in a transparent, decision-prepared fashion so you can move fast without exporting into spreadsheets every week.

The art of email deliverability

Deliverability determines if your investment in email tools becomes actual customer touchpoints or fades into spam. Your tools should provide clear diagnostics, strong integrations into your CRM and product data, and a clean UX so your team can track down and resolve issues without guesswork.

Sender reputation

Sender reputation is your credit score with inbox providers, linked both to your IP and your domain. If your messages cause high spam complaints, low engagement, or frequently bounce, ISPs down-rank you, and that reputation then trails your domain across various utilities.

That’s why swapping platforms without repairing fundamentals seldom addresses deliverability issues. Nice platforms provide you with sender reputation dashboards, spam complaint rates, bounce types and engagement by mailbox provider. You want to view marked spam rates because Google requires bulk senders to remain under 0.1% spam complaints and highly cautions against reaching 0.3% or more.

When spam complaints creep up, you need fast, practical levers: pausing specific campaigns, tightening segments and excluding low-engagement cohorts. If your sender reputation is already bruised, you need a managed recovery strategy, not volume spikes. A good tool guides you to warm up an IP and domain over four to six weeks by incrementally increasing send volumes to active segments exclusively, monitoring blocklists and signal reputation.

Search for platforms that automate warm-up schedules and integrate with your CRM so you can begin with your highest-intent, most active contacts.

List hygiene

List hygiene is the foundation of it all, though most teams consider it an afterthought. A clean list means fewer hard bounces, fewer spam complaints, and higher engagement, all of which safeguard IP and domain reputation. ISPs monitor your sending domain over the long term.

Bad list behavior continues to penalize your subsequent sends even if you change IPs or ESPs. Your email tool should constantly scrub invalid addresses, treat hard and soft bounces differently, and respect global unsubscribes across all brands and business units. Native integrations with your CRM or CDP come into play here, so you prevent resyncing unsubscribed contacts or long-dead leads. If you want a practical shortlist, these email verify tools are a useful place to start.

More advanced teams bucket inactivity and have rules that suppress contacts who have not opened in 90 or 180 days, depending on the buying cycle. Fine with it is to check deliverability once a quarter at least. You need visibility into things like deliverability rate by campaign, by list source, by acquisition channel.

Consider 100 percent deliverability as the standard and anything less a prompt to investigate data hygiene, capture strategies or sending behavior. Nice tools allow you to segment by permission level, date of consent, region, and engagement. For instance, you may want to send re-permission campaigns to long-term inactive European contacts but reserve high frequency product updates for recently clicked active users.

The UX should render these views and actions simple enough that your team actually uses them week to week.

Content signals

Content alone shoots powerful spam filter and consumer signals. Inbox providers consider authentication, structure, links, and engagement patterns. People respond to clarity, relevance, and timing. Over time, these two sides converge: if your content feels spammy to users, filters will eventually follow.

Begin with technical trust. You have four core authentication protocols to manage: SPF, DKIM, DMARC, and (increasingly) BIMI. Getting these right informs inbox providers that your emails aren’t spoofed, that you’re not malicious, and that you own your domain. Your email platform should walk you through DNS setup, check records, and notify you if authentication breaks for new sending domains or subdomains.

Then pay attention to behavior. When your emails land in spam consistently, 52.7% of consumers say they’ll get frustrated, lose trust, or unsubscribe. More than 70% of people check their spam folders for lost messages, and close to a third are irritated when they encounter a brand message there.

A clean UX that surfaces folder placement tests, subject line performance, and engagement by segment enables you to respond before this trust erosion becomes systemic. Timing and audience are more important than most teams will admit. B2B recipients generally perform better on weekdays when they are in work mode. B2C audiences typically respond better on weekends when they have more attention.

Your tool should allow you to A/B test send days and times by segment and then deploy automation rules based on what you learn rather than applying cookie-cutter “best practice” send windows. Lastly, watch general deliverability trends as a product experience problem, not just a marketing statistic.

When a key onboarding flow hits in spam, it wrecks activation and lifetime revenue, not just your email KPIs. Integrating your email tool with product analytics or your data warehouse allows you to track how inbox placement relates to sign-ups, purchases, and churn, where the real commerce payoff of your deliverability efforts appears.

Beyond the open rate

Open rate is now a poor surrogate for efficacy. It is noisy, easily misinterpreted, and ever more warped by privacy controls. You still measure it, but your email platform should nudge you to instead focus on more meaningful engagement, conversion, and revenue metrics that truly capture customer experience and business impact.

Engagement metrics

A powerful platform takes you from “Who opened?” to “Who engaged, where and why.” Open rates are monitored by 1×1 tracking pixels, which contemporary privacy controls frequently block or automatically trigger. Apple’s MPP and other changes make many opens inflated or fake, but around 40% of email marketers continue to use open rate as their number one measure of success.

Month-over-month or year-over-year open rate charts are comforting, but they don’t indicate whether your program is actually effective. You want tools that surface richer engagement signals and stitch them across channels. Click-through rate (CTR) is your first step. It informs you if your content, timing, and offer seem relevant and valuable to the subscriber at that point.

Great tools break CTR down by link, module, device, and segment, so you can see that product guides outperform discounts for new users in Asia, while price-based nudges work better for long-time subscribers in Europe. Beyond CTR, you should expect deep engagement reporting: scroll depth on landing pages, on-site events after the click, and behavior over multiple sends.

Platforms with nice clean UX make this easy to read, not buried in exports. Bounce rates, spam complaints, and unsubscribe patterns matter too. They expose friction and fatigue early before you harm sender reputation or customer trust. Iterative testing is where the engagement data starts to get useful.

You need tooling that lets you A/B or multivariate test subject lines, layouts, send times, and content blocks, then automatically roll out winners. Iterative tests allow you to constantly optimize, keeping you in step with shifting tastes and market conditions without having to reinvent your strategy every few months.

Conversion metrics

An email’s true measure is what occurs post-click. Your goal for any winning campaign is to turn those clicks into conversions—account creation, demo requests, bookings, upgrades, whatever action advances a customer through your lifecycle. Your platform should follow conversion rate from send to desired action, not just from landing page to form.

That means close integration with your CRM, analytics stack, and product or ecommerce data. When tools combine cleanly, you realize that a lifecycle sequence for trial users creates a 12% upgrade rate in 7 days and a “blast” newsletter hardly moves the needle. Without that view, you risk optimizing for higher CTR on emails that lead nowhere commercially.

Seek out segment- and journey-aware conversion reporting. You need to look at conversion rate by lifecycle stage, industry, or plan type, not just at the campaign level. For instance, your reactivation series might convert dormant users in one region but fail miserably in another due to local payment friction.

A good UX will let you filter and slice these views quickly, so your team actually uses them. Tools ought to support path-level analysis. You should be able to answer: Which series of emails and onsite actions usually precede a high-value conversion? That understanding enables you to craft journeys deliberately, rather than pursuing one-off campaign victories.

Revenue metrics

At the highest level, you need to know revenue per send, per recipient, and per customer segment. Revenue attribution in the email platform can’t be just ‘clicked and bought within 24 hours’. Instead, you desire customizable attribution windows and the option to compare email-driven revenue with other channels.

This is only feasible when your email tool works well with your ecommerce or billing system and your analytics suite. More powerful tools will enable you to monitor metrics like revenue per subscriber, average order value from email and downstream churn impact.

For instance, you may discover that a winback discount sequence generates a surge in short-term revenue but causes refund rates to surge or decreases customer lifetime value over six months. That perspective keeps you from exulting in vanity revenue. Revenue metrics reveal where to put more automation.

If an onboarding flow consistently generates more long-term spend, you know where to spend creative and engineering time. Clean, intuitive dashboards count here because if your team can’t swiftly view what drives revenue, they’ll revert back to opens and clicks.

Final thoughts

Selecting an email marketing tool is less about feature lust and more about reinforcing your real workflow.

You require a platform that fits your list size, your team’s abilities, and your growth strategy. Free tools may handle basic campaigns and simple journeys. Premium platforms begin to pay off once automation, segmentation, and deeper reporting become revenue levers. And if you’re already down to specific platforms, dedicated comparisons like Mailchimp vs. Klaviyo can help you choose with a lot more confidence.

Good deliverability, good data, and a good strategy are going to matter more than any single “best” tool. Focus on how each platform helps you:

• Reach the right people reliably
• Send relevant, timely messages
• Turn performance data into better decisions

When those three are in sync, your email channel is a reliable driver of pipeline and customer love, not just another line item in your stack.

Frequently asked questions

What are email marketing tools and why do you need them?

Email marketing tools assist you in creating, sending, and analyzing emails on a large scale. You want them to automate campaigns, segment your audience, optimize deliverability, and track results. They save you time and mistakes and make you more money from your email list.

Are free email marketing tools enough for a growing business?

Free tools work fine when you’re starting or experimenting with ideas. They restrict contacts, automation, and support. For a growing business, premium tools generally provide greater ROI through more advanced features, more powerful deliverability, and more refined analytics.

What key features should you look for in an email marketing tool?

Focus on:

• Easy drag-and-drop editor
• Automation workflows
• List segmentation
• Reliable deliverability
• Analytics and A/B testing
• Integrations with your CRM and website These features assist you in delivering the appropriate message to the appropriate individual at the optimal moment.

How do email marketing tools improve deliverability?

Good tools:

• Use trusted sending infrastructure
• Offer authenticated domains (SPF, DKIM, DMARC)
• Help you clean your list
• Track bounce and spam rates. This safeguards your sender reputation so your emails land in the inbox, not the spam folder.

How can you build an effective email marketing strategy with these tools?

Begin with defined objectives, such as leads, conversions, or interaction. Leverage your tool’s ability to segment lists, personalize content, and automate essential journeys. Try different subject lines, send times, and formats. Check your analytics frequently and optimize based on actual results.

What metrics should you track beyond open rate?

Do not stop at opens. Track:

• Click-through rate (CTR)
• Conversion rate
• Revenue per email
• Unsubscribes and spam complaint rates. These metrics demonstrate actual engagement and business impact, not just headcount.

How do email marketing tools help you stay compliant with privacy laws?

All modern tools should include built-in compliance features. They provide consent checkboxes, double opt-in, unsubscribe links, and data export or deletion tools. When used properly, they help you stay in compliance with laws such as GDPR and CAN-SPAM and respect your subscribers’ privacy.