Selecting a list-building strategy can often feel confusing.

There is so much conflicting advice on what will produce the best outcome for your business when it comes to the type of subscribers that you attract to your email program.

Many marketers recommend building your email list through creating a generic PDF, placing a pop-up on your home page, and waiting for subscribers to come flooding in.

This strategy is an ineffective way of building a list.

The strategy to capture as many emails as possible is an ineffective long-term strategy, creating bloated, non-responsive databases, and "ghost" subscribers (= individuals that are not engaged).

The modern method to acquire a list is to pivot away from quantity and toward the quality of intent.

What you need is not just an email address; you need a signal of intent.

Creating a database of active readers requires creating strategic barriers.

You must create a step-by-step guide to success, establish specific benchmarks for your conversion rates, and willingly trade in your "vanity" metrics for higher-intent signals.

While there are thousands of email campaigns to analyze, and tons of "how to" lists available on the internet, the only way to truly understand how to engage with your audience is to go beyond surface-level tactics.

Here is a detailed "framework" for capturing, qualifying, and converting subscribers who have an interest in your message.

Signal-based list growth framework

For your time = your money, traditional ways of building a list take substantially longer to demonstrate value than the Framework cited above for high-intent signals.

If you are in need of actionable steps immediately, this is a quick summary of the Signal-Based List Growth Framework.

You should not optimize for maximum signup rates when creating your list.

You should be optimizing for the highest quality of signal that you will receive from your subscribers.

An active and engaged email subscriber list relies on having visibility into the subscriber's workflow, not by using aggressive capture techniques.

You should abandon the "subscribe for updates" generic model of the list-building process if you want to successfully create a quality email subscriber list.

Utilize highly customized lead magnets that correspond with specific triggering behaviors.

Ensure that these points of entry have a stringent set of guidelines with regard to deliverability hygiene (e.g. double opt-ins and immediate clean-up of the list).

Use robust automation programming from "day zero" so that when a person expresses interest you can immediately capitalize on that moment.

Continue reading for the detailed numbers, how experiments were set up and the workflow logic used to complete this task.

The death of traditional list building

There is way too much clutter on the internet in the form of generic content upgrades.

When users visit a site they are immediately confronted with dozens of exit-intent screens offering them a guide to the subject they searched for.

These lead to considerable disparity between what a user expects and what marketers provide in terms of user experience.

Users develop "banner blindness" to lead capture forms.

Users create fake email addresses so that they don't have to go through the lead capture process only to receive the download and never return to that domain again.

When your email service provider tries to deliver the follow-up(s) to the users who opted in via the fake email address their emails go into an unmonitored inbox.

Your open rates will be seriously affected, as a result, as email service providers will not see users engaging with your emails.

As a result of this lack of engagement, even your legitimate emails will go straight to the promotions tab or will be sent to the spam folder.

A different approach must be taken to list building; instead of passively collecting leads, you must actively qualify them by providing strategic hurdles.

High-intent capture: Qualifying subscribers before they opt in

A high-intent subscriber is someone who has already shown that they need the exact solution you provide.

The focus needs to be on creating a targeted approach as opposed to a generic approach.

The use of behavioral triggers to capture user information allows for greater versatility and efficiency than using traffic sources alone as an indicator of the user's intent.

A user who visits your site from an organic search has far greater intent to convert than a user who comes from a social media click and leaves your site after only ten seconds.

Using behavioral triggers rather than simply capturing someone when they first load the page is a much healthier way to measure intent and to increase your chances of capturing that person's information.

For example, measuring a user's scroll depth is a great starting point to determine whether the user is engaged with your content, but you will ultimately have better results if you can also measure how long a user has been on your website and what elements they interacted with during their time on your site.

If they use an interactive calculator, expand an accordion for pricing, or continue to watch the video for over 50% of its total length, they have reached the point of intent to opt into your list.

Most importantly, only triggering your opt-in after your user's intent has been established will result in a greater reduction in the total number of subscribers you will have.

That cohort of subscribers will continue to have a higher purchase conversion rate than those coming from other sources.

When considering user experience and form location

The location of your opt-in forms will dictate how users view and perceive them.

If you place the same opt-in form on every page of your site (for example, in the footer of your site), or if you place it in an area of your site that contains a lot of clutter (for example, a sidebar with a lot of other content), the user will easily view the opt-in as an afterthought.

For the opt-in to get the user's attention, it must interrupt the user's experience.

In-line capture forms (those that capture information below a high-value piece of content) will achieve significantly higher conversion rates than separate landing pages for these forms.

The copy included in the form must address the same specific pain point as discussed in the previous sections.

For example, if the article discusses the importance of conversion rate optimization, the opt-in must offer the specific A/B testing template mentioned in the text rather than simply join a generic marketing newsletter.

The combination of providing screenshots of the template, clear typography, and a transparent explanation of the follow-up steps establishes trust instantly.

Today, conduct 3 repeatable list building experiments

General advice does not provide measurable outcomes.

There is no way to know how list dynamics function without conducting controlled tests.

The three experiments provided here are an attempt to be less abstract than the other methods and present stackable step-by-step processes for implementing the three tests.

Test 1 - Timing vs. annoyance trade-off

The assumption is that delaying a pop-up will result in obtaining a higher quality lead, while lowering the number of raw opt-in leads obtained.

Set up the following settings in your Email Service Provider (ESP) or pop-up builder to run an A/B split test.

Variant A has the pop-up displaying after 10 seconds from page load.

Variant B will display the pop-up after 60 seconds from page load or 70% of scroll depth.

Keep subject lines, CTA copy and lead magnet offers identical between both variants.

The test should continue to run until the test results reach statistical significance; usually, this means that you need at least 1,000 visitors to each variant.

The expected results are as follows: Variant A will capture approximately 20-30% more email addresses than Variant B; however, on average, Variant B will have much better metrics after the initial opt-in and will produce a subscriber that has 15-20% better open rates on the Day 0 welcome email.

It is also likely that by Day 7, subscribers who opted into Variant B will have a much lower unsubscribe rate.

Test 2 - Double opt-in deliverability test

Many marketers worry that double opt-in introduces frustration to the opting process.

They worry that if users do not complete the second action of clicking the confirmation email link, they will lose leads.

However, the action of confirming the opt-in is an expected benefit of forcing the user to take an additional confirmation action; this will help to filter out all bots, typographical errors, and low-value freebie seekers.

Experiment 1: Segmented and two-step opt-ins

To measure what impact the mode of your engagement affects how engaged they become after you have sent them that engagement is important.

To measure what impact the mode of your engagement affects how engaged they become after you have sent them that engagement is important.

To measure this you will create two separate cohorts from your database.

In order to achieve the goal of achieving the highest level of engagement from the first (Day 0) email sent to new users after they signed up for your product, we want to optimise the Day 0 email by creating a greater emotional connection between the user and your brand.

Experiment 2: Two-step opt-in cohorts for high delivery rates

We are going to measure what impact the mode of your engagement affects how engaged they become after you have sent them that engagement is important.

In order to achieve this we will create two separate cohorts from your database.

One cohort will consist of the current N sign-up number of users that go through the single opt-in process and the other cohort will consist of the current N sign-up number of users that go through the double opt-in process.

The two cohorts will be tracked to see which has higher engagement over a period of 30 days.

The initial drop-off of the double opt-in cohort will be 15% up to 25% of their original sign-up number.

However, they will also have a much lower hard bounce rate, which should approach zero.

During the 30-day measurement period both cohorts will show much higher click-through rates for standard broadcast emails, because the denominator (the total number of subscribers) is made up of people who are actively engaging with your emails.

The response to your emails is heavily weighted as a deliverability signal (important to Gmail) - this feedback practically guarantees to help keep you out of 'promotions' on Day 3.

Industry-specific email list building strategies

Acquiring email subscribers requires different strategies depending on the business model you have.

A strategy that produces significant ROI would likely flop for B2B consultants and vice versa.

Knowing the context is crucial here.

SaaS founders or B2B consultants

For SaaS/Fund/Consulting companies the main objective is to generate qualified leads that can be profitable through high-ticket sales.

It is very important that the focus remains solely on time-to-value and building authority.

Long-term nurture and lead magnet assets should not be simple checklist-style documents.

They should consist of extensive reports defining the industry or proprietary data breakdowns or registration for an upcoming webinar.

Webinars are an excellent qualification method; there is enough work involved in registering for an event, blocking time off the calendar, and attending an event that the casual browser will most likely never show up.

B2B professionals will exchange their workplace email address for expert insights.

Additionally, having the ability to capture leads from people directly from LinkedIn will significantly help in lowering the overall cost-per-acquisition (CPA) for your business, as you will also be able to eliminate the form fill-out resistance that is associated with the process of lead capture.

You will also ensure that all contact information captured is accurate as it is generated directly from the user's professional profile.

Ecommerce/direct to consumer

While ecommerce companies make money primarily through volume, only quality will actually produce profits.

Offering new subscribers "10% off their first order" as a default welcome message and in pop-ups is an effective method of driving conversions but will, unfortunately, hurt the long-term engagement of the subscriber list.

The method trains subscribers to only open emails with discount offers.

For a way to pivot the business, look into integrating gamification or exclusive access models.

For example, rather than providing subscribers only a discount code, offer them entry into a members-only VIP Community or provide early access to exclusive product launches.

In addition to the above, you can also capture customer emails through a post-purchase email flow.

An event organizer or eCommerce store gathering leads in their email database probably already has a customer willing to buy, so the focus then becomes maximizing Customer Lifetime Value (LTV) through highly targeted email reminders to replenish items bought, as well as email sequences to cross-sell additional products.

How to measure success

While there are many dashboards that give organisations insight into data regarding customer or subscription metrics, majority of their reporting will display "vanity" metrics.

Having a subscriber count isn't very valuable if 60% of your subscriber database hasn't opened an email in over six months.

Therefore, having true measures of customer engagement take into account metrics that contribute to Revenue and Email Deliverability.

Cost-Per-Acquisition (CPA) explained

Tracking your CPA involves measuring how much it costs you to secure an engaged subscriber, rather than simply tracking the cost of obtaining a subscriber.

For example, if you create an organic blog post that converts visitors to buyers at 2%, then the initial CPA will technically be 0.00 (assuming content production cost).

In terms of paid social campaigns, it may cost $2.00 per email lead.

Nevertheless, if the organic leads buy a product with a $100 retail price at a 5% volume conversion rate and the paid leads convert to a sale at a .5% conversion rate, then the true CPA for acquiring a buyer alters dramatically.

Create unique tracking URLs using separate UTM parameters for every single lead magnet and form placement.

Next, incorporate this data into your Customer Relationship Management (CRM) system.

This will allow you to distinguish the engaged subscribers from those who may be less productive.

Customers who originated from a particular partner's webinar, will likely have a very different time-to-value than someone who came to your site via an organic search engine.

The email marketing truth about open rates and list hygiene

The Apple Mail Privacy Protection (MPP) has had a major impact on how open rates are tracked.

Apple retrieves emails from its servers before users see them, causing the email to be counted as opened, even when users do not view them.

Open rates being the only metric used to determine a list's health is very risky, and it is best to measure success based on the click rates and conversion rates.

List hygiene should no longer be a manual process but a completely automated process.

Set an automation rule that sends a final reengagement email to subscribers who did not open, click or respond to any emails for 90 days; delete these subscribers from your active list if they do not respond.

In the past, you could retain subscribers who did not open any of your emails for a long time, however, this will negatively affect your sender score and create unnecessary software overhead.

Legal compliance & designing a consent first user experience

The way companies used to build email lists no longer exists due to the evolution of the data privacy laws in the world today.

Examples of such laws are the General Data Protection Regulation (GDPR) in the European Union, the California Consumer Privacy Act in California, and many others.

The laws require that companies receive explicit consent by informing subscriber about the content of their email subscription, the frequency of emailing, and to link directly to their Privacy Policy.

When you design your sign-up forms with a consent first methodology, you should be transparent in your language.

Your forms should explicitly state what content will be sent to the subscriber, the frequency of sending the email to the subscriber, and link directly to your privacy policy.

Although using this level of transparency may decrease initial conversion rates, it will serve as a behavioural qualification metric.

Users who provide informed, explicit consent in transparent environments are scored with an exponentially higher likelihood of interacting with the related materials.

Conclusion: Quality exceeds quantity

An email list is not a numbers game.

A group of 1,000 dedicated subscribers who specifically expressed interest in your work will consistently outperform a temporary email database of 50,000 uninterested or inactive contacts.

Implement double opt-in procedures, consistently remove non-responsive subscribers from your list, and design your subscription forms to be activated based on detailed user activity versus simple page views.

Ultimately, you want to create an email asset that consistently generates predictable income and maintains excellent delivery rates.

Concentrate on the performance of your subscriber lifecycle and actual conversion rates, rather than the perceived volume of your email list.

Frequently Asked Questions (FAQs)

What will a lead magnet take to start to convert?

The time to conversion varies greatly depending on the traffic source, as well as the quality of the lead magnet you created.

If you place a valuable, localized lead magnet on a webpage that is receiving 500 organic visitors daily, you could see opt-ins within just 24 hrs.

The actual response, however, will come from measuring the conversion rate of that welcome sequence.

It generally takes 14-21 days to accurately gauge the continuing response and initial sales rate of a newly formed group.

Does having a double opt-in harm the conversion rate?

Having a double opt-in process lowers the number of raw submissions; however, overall, it increases actual conversion rates.

You will lose approximately 20% of your original submissions due to users forgetting to verify or using false addresses.

Yet 80% of the individuals who finish the process will have a substantially higher lifetime acceptance rate, lower bounce rate, and better deliverability metrics.

Therefore, utilizing a double opt-in process is a requirement for a successful implementation of high-intent capture.

What is the main error made while accumulating an email database?

The primary error marketers make in creating mailing lists is not purging their database of non-responsive subscribers.

Marketers have an emotional attachment to their total number of subscribers.

A database containing inactive subscribers for months or years will damage your deliverability reputation.

If an email service provider (ESP) consistently sees that your contacts aren’t paying attention to your messages, the domain will eventually be tagged as spam and result in the inability to communicate with even the highly engaged subscribers.