A-Qua Mailer web Ratings (September 2025)
This page breaks down A-Qua Mailer web ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand A-Qua Mailer web’s overall reputation. This data-driven overview will show you exactly how A-Qua Mailer web is rated - including how it compares to competitors.
A-Qua Mailer web's Overall Rating Summary
- Average Rating:4.8/5
- Total Reviews:2 reviews
- Sources:G2
- Last updated:September 1, 2025
A-Qua Mailer web Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.8/5 | 2+ reviews | 01.09.25 |
What is A-Qua Mailer web?
Lorton Data offers "Desktop and Web based" Software Solutions for Mailing and Business Communications, including the A-Qua Mailer™ platform for state-of-the-art mail preparation accessible via desktop, web, command line, and FTP. Their Professional Services leverage data to enhance client communication and revenue, while their List Services provide high-quality lists for targeted marketing campaigns. They emphasize data security with annual SOC 2 Type 2 audits and offer additional services like data cleansing, appending, and enhancement.
🤔 A-Qua Mailer web vs Competitors: How Do Ratings Compare?
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How trustworthy is A-Qua Mailer web?
According to G2 review site A-Qua Mailer web holds rating of 4.8/5, highlights excellent reputation and user approval as of September 2025.
How many stars is A-Qua Mailer web rated?
A-Qua Mailer web has an average star rating of 4.8 out of 5 stars based on average of 2 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from A-Qua Mailer web public reviews pages on platforms: G2. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for A-Qua Mailer web is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.