Fix
6 months ago

Improvement: User Integration and Product-Specific Groups

We've fixed an issue that prevented the correct fetching of all product buyers during the first run, ensuring that they are added as subscribers to product-specific MPZ groups. 

If you have any questions or feedback, please reach out to our support team.

Fix
6 months ago

Bug Fix: Automatic Removal of Ghost List Groups

We've updated our system, to clean ghost email groups that were imported daily, import based on imported transactions.

If these groups were present, they would now be automatically removed.

If you have any questions or feedback, please reach out to our support team.

New feature
6 months ago

Max Daily Volume Algorithm Feature

We are excited to introduce our latest enhancement: the Max Daily Volume Algorithm (MDV) feature. This crucial addition is designed to help you manage your daily email volume efficiently, ensuring that your sender reputation remains strong.


Why Volume Control is Essential 


One of the most important factors in maintaining and improving your reputation as a sender is managing the volume of emails you send daily. Most ESPs, especially Gmail, really dislike sudden spikes in volume. Controlling the volume is absolutely critical during the warmup of sender IPs and Domains, but many people wrongly assume it stops mattering afterward.


How the MDV Algorithm Works


Our new MDV algorithm feature keeps a close eye on the volume of your account every day, every hour, and every minute. When the speed of sending and/or total volume hits certain thresholds, it will limit and slow down sending to make sure you don't damage your sender's reputation.


This does mean that sometimes campaigns will be delivered slower than you'd like. However, if you prefer to blast your campaigns in a few minutes and damage your reputation, you are not a good fit with Mailvio. We do not sacrifice long-term success for short-term gains.


Long-Term Benefits


The algorithm works by growing and expanding each day, so eventually, you will not be bothered by such temporary limitations and can send big volumes fast every single day with great deliverability.


Focus on What Matters

In short, this feature manages something extremely complex and takes this out of your hands and mind completely so you can focus on your email strategy and email writing.


We are confident that this new feature will significantly improve your email marketing efforts and help you achieve better results over the long term. Feel free to reach out with any questions or feedback!


Note: This feature is only automatically applied to new accounts (from the date of its launch, which was about 1 week ago). By default, this feature is not active on older existing accounts. If somebody wants it, they can request it via support.

Announcement
7 months ago

Efficient Account Setup with Mailvio

Setting up your new Mailvio account has never been easier! Our new user-friendly onboarding process meets your preferences and needs effectively.


To get started, simply choose a warm-up domain using our 'Instant Setup' feature. Alternatively, you can opt for the 'Custom Setup' to integrate any custom domains into your account. Our goal is to offer you seamless options for setting up your account so you can quickly start using Mailvio's powerful features.


If you have any questions or feedback about these setup options, feel free to reach out. We're here to support you every step of the way!

New feature
02 May 2024

Mailvio RFM Business Intelligence


We are thrilled to announce the launch of our latest feature for Mailvio RFM: Business Intelligence. This powerful new addition to our RFM Module is designed to help you unlock the full potential of your business data, providing you with in-depth insights and actionable analytics. 

With Business Intelligence, you can now easily understand your market standing and discover what resonates with your customers.

Business Intelligence Feature:

You have two options to choose from:  Customer Analysis and Product Analysis. While both offer valuable data, they serve different purposes.

Customer Analysis lets you dive into who your customers are and how they behave. It's like getting an inside look at their buying habits and patterns, which helps you connect with them better. 

For example, you can examine the average amount customers have spent, identify the periods of their spending, and compare this data across different groups and segments to see their performance, providing valuable insights to recognize your most valuable customer groups.

Meanwhile, Product Analysis gives you insights into the nitty-gritty of your product's performance, without focusing on customer groups or segments. 

It provides more insight into which of your products has generated the most revenue, which product is getting a better average order value, over which period, and other important details.

So, whether you're looking to understand your customers or analyze your products, we've got you covered.


Customer Analysis


Simply choose any of your groups and segments and a specific date range or select 'all-time' data to generate your report. 

Note: You can choose multiple groups and segments to compare them with one another.

After you do this, there are a total of seven different reports for you to analyze:

Total Value for Selected Data: This provides insight into the amount of revenue generated by that group or segment over the selected period.

AVG LTV for Selected Data: This provides details on the average amount of money you have made from each customer over the selected period.

Most Valuable Group for Selected Time Range: This will present you with the amount of revenue generated by the group which is higher compared to the current one.

Most Valuable Segment for Selected Time Range: Similar to the Most Valuable Group, you can gain insight into the most valuable segment and compare it with others.

Total Value Trend: This will represent the graphical chart where you can learn how much average revenue you made from those groups and segments in a particular month or year, based on the chosen date.

Average Customer Lifetime Value Trend: This graph will represent and show you the average amount of money you have made from that particular group and segment over the lifetime period.

Product Categories: A pie chart that will show you percentage-wise which categories of products are generating the most revenue.

This data of yours will be compared with that of other vendors who share the same customers, providing you with valuable insight into what is working well for them, and you can create a product in similar categories.

There is also a section of the pie chart that will provide information on the RFM Score.

RFM Score: Get a clear view of how your product categories rank in terms of RFM Score. This will show a pie chart with an RFM Score for each category of product, giving you an idea of which one is performing well.


2. Product Analysis


Similar to Customer Analysis, but with a focus on evaluating your products in comparison to groups and segments.

Simply choose any of your products and a specific date range or select 'all-time' data to generate your report.

Note: Similar to Customer Analysis, you can also choose multiple products and compare them with one another

Total Value for Selected Data: This provides insight into the amount of revenue generated by that product over the selected period, similar to Customer Analysis.

AVG LTV for Selected Data: This provides details on the average amount of money you have made from that product over the selected period. For example, if the product price is $100 and you have a total revenue of $2000, the Average Order Value will be $20

Most Valuable Product for Selected Time Range: This provides details on the product that has generated the most revenue compared to the one you have selected in that particular period.

Highest AVG LTV Product for Selected Time Range: This provides the average lifetime value per customer purchase. For example, it shows the maximum amount of money someone can spend on average for that product.

Average Customer Lifetime Value Trend: Similar to the average order value, this graph will represent and show you the average amount of money you have made from that particular product. It will be presented in graph form.

So overall, these are the detailed analyses and reports you can generate via Business Intelligence, which will help you plan your next move and increase your results.

Now expected the overall comparison there is another way as well for you to use the product