You can use BigMailer webforms to collect emails and any other subscriber data completely for free. You only have to subscribe and pay when you start sending emails above the limit on a free plan.
How to Create a Webform in BigMailer
First, you need to create a List that you want to collect your data into, then click on the arrow down icon next to your List name and select “Forms” in the options menu. On the next page click “Create Form” button and fill out all the fields:
If you want to collect additional fields in your webform you need to define them on the Fields page – click on your brand name in site header and select “Fields” in the options menu. See section about field management below.
Once you hit Save button you will see the HTML code that you can cut and paste into your website. Make sure to copy the entire code block provided.
Adding Your Webform in WordPress
If you use WordPress to manage your website you will need to use a HTML module type to add webform code to a page. Most WordPress installations and themes have this module type.
Customizing Your Webform
By default, BigMailer HTML webform code is un-styled, so you need to customize it to add relevant styles to the code, typically just a class attribute on the form and each field.
You can also customize the confirmation message provided to any text you would like or redirect to another page on your website after successful form submission.
If you are worried about spam traps or bots signing up for your emails you have the option to add reCAPTCHA to your forms.
Coming Soon (Q2 2020): Drag-n-drop landing page builder.
There is 2 ways to create new fields in BigMailer:
- Add them on the Fields page (see above) before importing or collecting data
- Create new fields during the import step and map your columns in the file with data to new fields.
Once you define fields they can be used to:
- Generate a webform to collect data outside BigMailer platform
- Customize your email template with use of merge tags.
You need to select a correct data type for each field you create, so you can use appropriate operators (equals to, greater/less than, etc) when segmenting on those fields during campaign creation.
You should add some sample values for all fields, they will be used as merge tag values in any Test emails you send. Without these sample values your test emails that use merge tags can go into Spam folder or not get delivered at all.
If you work with email campaigns in any capacity you probably heard of all the terms listed below, but do you really understand what they mean and how they can be helpful in analyzing success of your email campaigns? We break it all down and provide you with some links for additional reading.
Preview text – the text that displays in your inbox. It shows you a brief preview of the email you’re about to read. Unless a custom preview text is defined (typically hidden with code), it displays the text from the first line of the email. Most bulk email marketing service providers allow you to define custom Preview text.
Pre-header – the small text that appears within the body of your email, at the very top, above your main content. In a lot of email templates, and some email marketing platforms, it is a link to the browser version of the email. So if you don’t define preview text with a custom implementation, your preview text may read, “View this email in your browser.”
Most marketers use terms preview and pre-header interchangeably, but they are not the same. A pre-header can become preview, either intentionally or unknowingly.
Delivery Rate – a ratio of emails that didn’t bounce and weren’t blocked by email provider (MBP). Emails that land in Spam folder are considered to be delivered.
Inbox Placement Rate – a ratio of emails that landed in the Inbox (didn’t go to Spam/Junk or Promo (Gmail) folders) to total emails sent. Inbox placement is something marketers can optimize for, using spam testing tools like GlockApps or Litmus that analyze inbox placement across many MBPs and consider things like email content, subject line, and sender IP reputation.
Many email marketing services will claim high deliverability, which should simply be expected from any established ESP, where is inbox placement is what most marketers care about these days and have a lot of control over.
MBP – MailBox Provider, often also referred to as ISP, any company that provides end users with an email account. The largest MBPs in North America are Gmail, Yahoo, Microsoft, AOL, and Comcast. It’s important to not forget corporate email providers with their custom setup and unique spam filters, which can make a big difference for some industries, e.g. banks or universities.
Blocked – if email is blocked, the MBP filter has determined the message or sender is suspicious and has stopped the mail (and any other volume from the sender) from going through to the recipient.
Blacklist – blacklists are lists of IP addresses that have been reported and listed as “known” sources of spam. There are public and private blacklists. Public blacklists are published and made available to the public – many times as a free service, sometimes for a fee. There are hundreds of well-known public blacklists. If your email marketing platform account is on a shared IP with other customers and the IP gets on a blacklist, your emails can get blocked. This doesn’t mean you must have a dedicated IP, although it does help to avoid this particular problem, a good provider will rotate IPs and work on getting their IPs off blacklists. Large providers tend to have “cleaner” IPs because they have resources to maintain a healthy IP list. Many providers offer dedicated IPs at extra charge, although most will only allow it on higher tier plans.
Bounces – a bounce means that the message cannot be accepted by the MBP (MailBox Provider) and is the email equivalent of “return to sender.” There are two types of bounces: hard and soft. Hard bounces indicate an email address is invalid or no longer exists; soft bounces indicate a temporary reason, such as a full inbox or attachment too large, for returning the message, with auto-responder (out of office) being the most common reason for a soft bounce.
Double opt-in – a practice to ask email subscribers to verify their subscription by clicking on a link in a verification email automatically sent out once a user subscribes. Double opt-in can significantly limit marketing opportunities for a given list while slightly improving list quality. Single opt-in is considered a superior subscription process by many marketers because it maximizes list growth and overall performance by minimizing signup barriers and opportunities for errors. Chad White from Litmus on advantages of single opt-in.
Re-permissioning – a practice to reach out to existing list subscribers to obtain a confirmation of permission to send emails. This has been discussed a lot lately due to GDPR’s requirement to have an explicit consent from subscribers. From what we had seen and heard, few companies had engaged in this practice, especially for US-based subscribers since GDPR scope is limited to customers located in EU, although it is recommended by experts at ReturnPath.
utm parameters – these are URL parameters that are used to help identify the source of traffic (e.g. social networks, email and display advertising campaigns) in Google Analytics with names that start with utm_ (e.g. utm_medium, utm_source, utm_campaign). Some email marketing software providers automatically add some utm_ parameters, like utm_medium=email and some providers allow defining additional parameters in a freeform field, either globally for an account or on a per campaign basis. Read more about email campaign tracking with Google Analytics.
Relative engagement – an email subscriber engagement with the email from your sending domain relative to all other sources of email in their inbox. This inbox placement factor is the reason why the same email may go to both Inbox and Spam folder for recipients on the same campaign. So a good sender reputation may not be enough to guarantee inbox placement. Read more on improving your email deliverability and inbox placement.
Spam traps are email addresses that monitor email communications to identify spammers and senders with incorrect contact management practices. Spam traps look like legitimate email addresses, but they aren’t operated by real users. These email addresses can end up on mailing lists that are harvested from web pages, purchased/rented, or simply not properly maintained (unengaged users are not removed from list on ongoing basis).
View Time Optimization (VTO) is a new email marketing service offered by Verizon Media, that owns Yahoo and AOL, that automatically times emails from companies to arrive the moment a user is logging into their (Yahoo or AOL) email, so it sits at the very top as a new message. Verizon Media claims x4 improvement in open rates and x2 in click rates. Email senders have to be approved for using the service and have to pay for it.
Did you learn something new from reading this post? Are there any other terms you think we should add to this list? Please let us know by leaving a comment, we appreciate any feedback.
If you’re a startup founder, a growth marketer in an early stage startup, a developer working on side projects, an aspiring professional blogger or simply someone who wants to be a data-driven decision maker, this post is for you.
When product your is past its minimum viable product (MVP) phase and in a growth phase, you can afford premium analytics tools. In the early stages, however, you probably don’t have a lot of data, so using one of the many available free tools to help you collect conversion and engagement metrics can be a smart choice. The data you’re able to collect and analyze in the early stages of product development is not only important in illustrating what channels and tactics work best, but it can also be crucial to your startup’s success or failure.
While there are many analytics tools available, none can claim the large-scale adoption and proven value of Google Analytics (GA). For purposes of this post, I’m going to assume you already have Google Analytics tracking set up on your website and dive straight into some conversion tracking instances that don’t require additional steps from a site owner or developer.
Conversion Tracking Using Google Analytics Goals
Effort: Minimal – you define your goals in the Google Analytics UI with no code updates required.
You can set up goals for your main non-sale conversions like email sign-up, free account/trial sign-up and product activation. These can help you understand your conversions from site visitor to member, trial member or email subscriber. For many products, you can also add goals as steps that indicate product usage, allowing for certain functionality that enables users to evaluate your product and its value.
To get started, go to the Admin tab on the bottom left (look for gear icon), find “Goals” link under Views.
Click “Goals” and then “+ NEW GOAL.” From here, there are two simple ways you can define goals:
1 Use a unique URL path of the page that indicates a task completion such as /email-signup or /regi/welcome.
2 Use a unique name=value string that your site might already be using to indicate some other completed action. For example, you might be redirecting a user to the page they were on prior to creating an account and appending ?regi=true or ?email-signup=yes or a similar parameter to indicate to your application that the user just joined the site or mailing list. This can be used to display a custom welcome message or launch a tutorial-style widget to tell the user more about your site or product.
NOTE: Google Analytics allows you to assign a monetary value to a goal, but unless you’re actually using Goals to track sales or other actions you monetize (like automatically opting in your members to partner email lists or products during the registration process), you shouldn’t assign it. An exception would be if you only sell one product at one price point, like an ebook. You can actually use Goals to track your sales in this case, so you don’t need to read the rest of this post if your setup is that simple.
Email to Web Engagement Tracking Using Goals
Effort: Medium – depends on how and where you currently manage your emails.
If you send emails of any kind to your customers, make sure to tag all of them, marketing and transactional, with utm_ parameters.
If you’re new to utm_ parameter tracking, check out this guide. At a bare minimum, always pass utm_medium=email on all links in your emails to attribute your traffic, engagement and sales to the Google Analytics “Email” channel. Many email providers have click tracking disabled by default (SendGrid, MailGun), so make sure to enable it first and define values, preferably at campaign level.
If your email links don’t pass utm_medium=email, your stats will be attributed to catch-all “Direct,” “Referral” or “Other” channels depending on the email provider you use and the email clients your subscribers use. Once you add utm_medium=email, your stats will shift from one or more of the other predefined channels in the Email channel.
Utm_medium should always be set to “email” for your email links. If you set utm_medium to something you came up with yourself and it isn’t a convention, like email-[provider], then all your data will be attributed to the Other channel.
Conversion Tracking for Pay-Per-Click (PPC) Campaigns
Effort: Medium – requires your developer to drop the code in the right place but without customizing it.
If you run any PPC campaigns, simply drop the conversion tracking code (aka “pixel”) from your network to your subscription confirmation page. PPC platforms such as Google AdWords, Facebook, Pinterest, and many others all offer the option of adding a tracking code to your site. This allows you to track the return on investment (ROI) for your campaigns and ads inside those platforms.
E-commerce Conversion Tracking
Effort: Medium to Large – requires a developer be familiar with the checkout setup to drop the code and add values from the application into the code.
The best thing you can do for your conversion-to-paid tracking is to add e-commerce tracking from Google Analytics and pass the value of the sale or initial (first month/year) subscription from the sale/subscription confirmation page to Google Analytics. This will assign sales/revenue to the appropriate channel automatically, and you’ll even know what landing page the user originated from (i.e., an individual blog post) if you drill down to report by landing page (“Behavior” tab on the left > “Site Content” > Landing Pages).
Google Analytics Report Example: E-commerce Data by Acquisition Channel
IMPORTANT: If you sell in more than one country and display prices in multiple currencies on checkout or receipt/confirmation pages, make sure to convert the value to your desired currency before adding the information to the e-commerce tracking code. Your e-commerce data in Google Analytics will otherwise be an irrecoverable mess until you fix it.
Special Case – You Offer a Free Trial
Effort: Large – requires development work, including database work.
Typically, when someone signs up for a free trial that requires a credit card, they’re moved to a paid plan after the trial period ends. If your product supports this model, then the goal and e-commerce tracking described above will only track your free trials and not the actual revenue you collect unless you’ve included a custom step in which a user manually upgrades and chooses a plan or adds a payment method.
One way to track your sources of revenue beyond a free trial is to record referral data (http_referer and utm_ parameter values) to your database during the conversion to trial step. This will provide a referral source for each trial record. To implement this process, record a referral source (check HTTP referer and/or utm_ parameters on query string) into a cookie, and then record the source from the cookie into your database with the account record during the trial sign-up step. You can later cross-reference that record with subsequent renewals and determine your churn, life time value (LTV) ratio and ROI for the individual acquisition channels or specific PPC campaigns (if you use unique utm_campaign parameter for each PPC campaign).
For more info on implementing custom conversion tracking, check out Building Your Own User Analytics System in SQL from Periscope, which was written for developers and outlines an implementation in great detail (data tables, columns, etc.).
Did you find this article helpful? Was there anything you wish we covered in more detail or provided examples for? Please share your feedback in the comments.
Happy conversion tracking and growth hacking!