Every review on this site follows the same process. Here’s exactly how we evaluate each platform – what data we collect, how we score it, and how we arrive at our recommendations.
Data Collection
Review Platform Aggregation
We pull ratings from eleven independent review platforms. Each attracts a different user base – IT managers, marketing teams, sales professionals, business owners, end users, employees, and developer communities – so combining them produces a more complete picture than any single source.
Where TrustRadius publishes scores on a 10-point scale, we convert them to a 5-point scale for consistency. Platforms with no reviews for a given company are excluded from the calculation.
- Capterra
- G2
- Gartner Peer Insights
- GetApp
- Glassdoor
- GoodFirms
- Software Advice
- Trustpilot
- TrustRadius
- Product Hunt
- SourceForge
See also: What Made Us Choose Sources for Expert Score?
Scoring
Weighted Average Rating
Our summary rating is a weighted average across all platforms with available data. The weight is the review count – so a platform with more reviews pulls harder on the final number. A platform with 50 reviews doesn’t move the needle the same way one with 5,000 does.
Platforms with no reviews for a given vendor are excluded from that vendor’s calculation rather than counted as zero. A missing score is not the same as a bad one.
Verification
Feature Evaluation
We assess each platform against a defined feature set relevant to its software category. Each category has between 10 and 19 assessable features, reflecting the distinct capabilities that type of software is expected to deliver.
Each feature is evaluated against the company’s publicly available documentation, product pages, and help center content, then marked as one of two states:
- Present – the feature is confirmed and described in sufficient detail to verify how it works.
- Not verified – public documentation didn’t confirm it clearly enough to mark it as present.
Only confirmed features contribute to the feature count. Not verified features are excluded from the score but disclosed in the review.
The confirmed feature count feeds directly into the Feature Score and, from there, into the Expert Score.
Composite Score
Expert Score
Our Expert Score combines two inputs in equal measure: the Feature Score and the Weighted Average Rating across review platforms. Both are expressed on a 5-point scale and averaged together to produce the final Expert Score.
- Feature Score – calculated as the share of confirmed features out of the total assessable features for the category, expressed on a 5-point scale.
- Weighted Average Rating – the cross-platform review composite described above, weighted by review count and expressed on a 5-point scale.
The Expert Score is the backbone of every classification tag assigned on this site. It draws on verified feature coverage and aggregated review ratings to produce a single number that reflects both what the platform delivers and what users say about it.
Sample Platform Scorecard
| Score Component | Score |
| Feature Coverage Score | 4.2 |
| Weighted Average Rating | 4.4 |
| Expert Score | 4.3 |
| Classification | 🏆 Leading Solution |
Final Output
Classification Tags
Each reviewed platform receives one classification tag based on its Expert Score. The tag reflects the combined result of feature coverage and aggregated user ratings across all available review platforms.
| Tag | Criteria | What it means |
| 🏆 Leading Solution | Weighted Average Rating ≥ 4.0 and Feature Score ≥ 4.0 | Broad confirmed feature set and strong user satisfaction – consistently competitive across both dimensions. |
| ✅ Trusted Choice | Weighted Average Rating ≥ 4.0 and Feature Score < 4.0 | Users rate it well across platforms, but its feature coverage sits below the Leading tier. That makes it a dependable pick when the specific capabilities it offers line up with what you actually need – without paying for depth you won’t use. |
| ⚡ Average Performer | Weighted Average Rating < 4.0 | Mixed ratings across independent platforms – reviewed and listed, but not recommended ahead of higher-scoring alternatives. |
Market Presence
Traffic & Engagement Data
We pull two full years of performance data for each platform via SimilarWeb, which is long enough to separate real trends from short-term noise. A two-year visit trend chart is included on each review page so you can see the trajectory at a glance.
On the engagement side, we track:
- Monthly Visits – baseline measure of market reach and brand recognition.
- Bounce Rate – when visitors leave immediately, it usually means the product didn’t match what they came looking for. A low bounce rate is a reasonable sign that the platform holds up past the first impression.
- Average Visit Duration – longer sessions indicate genuine interest in the product, not just brand awareness lookups.
- Pages per Visit – more pageviews typically mean visitors find the platform worth exploring past the homepage.
Traffic source breakdown is also assessed – direct, organic search, paid, referral, email, and social – since proportion matters as much as volume. A vendor leaning heavily on paid traffic looks different from one pulling in strong organic and direct numbers, and that difference is worth knowing.
Website Visits Two-Year Trend
For every platform we cover, we plot quarterly visit volume over a rolling two-year window – because trend direction is one of the harder things to manufacture.
We flag the direction for each vendor:
- Positive – net visit growth over the two-year window, indicating real product momentum or an expanding market footprint.
- Negative – a net decline over the same period, worth paying attention to – it can point to mounting competition, a product that hasn’t kept pace, or contracting market interest.
Learn more: Website Traffic Indicators We Use.
Hands-On Review
Manual Assessment
Traffic data and review aggregation tell you a lot, but they don’t show everything. We go through each platform directly to check what the numbers alone can’t reveal.
- Product-promise alignment. We check whether what a platform claims on its website holds up against what documentation, user reviews, and direct inspection actually show. Some make strong marketing promises the product doesn’t back up.
- Pricing and terms transparency. We look at how clearly a platform lays out costs, plan limitations, and any contract terms. Some are upfront; others bury the important details or require a sales call to get real numbers.
- Integration depth. We verify not just whether integrations exist, but how they connect – authentication method, which providers are officially supported, and whether API access is available for custom workflows.
- Real-world gaps. Platforms with strong metrics don’t always hold up under closer inspection. Catching the gap between what’s marketed and what’s delivered is part of what this step is for.
Primary Sources
Customer Reviews
For each platform, we include recent verbatim reviews – positive and negative – pulled directly from the source platforms. We don’t summarize or editorialize them. Reviews are shown as written, with the reviewer’s name, platform, and date where available.
Reviews are selected to represent both what the platform does well and where it falls short. Where users consistently flag the same issue across sources, that pattern is reflected in the selection.
Why This Methodology Matters
Most reviews of email software stop at aggregate star ratings or vendor-submitted feature lists. That kind of surface-level approach doesn’t tell you how a platform actually performs once you’re using it – or whether the people rating it are working under conditions anything like yours.
Our approach combines multi-platform review aggregation, verified feature coverage, traffic analysis, and direct product inspection – all cross-referenced rather than taken individually. The goal is to distinguish platforms that look good on paper from those that hold up under real conditions.
What We Don’t Do
We don’t accept payment to improve a platform’s rating, classification, or feature description. Review data comes from public third-party sources, not from the companies themselves. Feature listings are based on publicly available documentation and product pages – not vendor-submitted information. If a feature can’t be confirmed from public sources, it’s marked not verified rather than assumed present.