How we compare software
Last updated October 2026
Every comparison on Worth It Stack follows the same documented process. We're publishing it here so you can judge our verdicts — and spot it if we ever cut corners.
In short: Every comparison follows the same documented five-part process — real pricing pulled from vendor pages and mapped at realistic usage, per-seat vs per-contact vs flat math, annual/monthly differences, feature matrices from official docs, and aggregated verified reviews. Published so you can spot corner-cutting.
The five things we score
1. Pricing transparency and real cost
We pull current pricing directly from vendor pricing pages and map what each tier actually costs at realistic usage levels — not just the headline "from" price. We specifically look for:
- Where the price jumps between tiers (the "gotcha" upgrades)
- Per-seat vs. per-contact vs. flat pricing, and what that means as you grow
- Annual vs. monthly billing differences
- What's genuinely included vs. what's an add-on
SaaS vendors change pricing frequently. Every article carries a "last updated" date, and we re-verify pricing on a regular cadence. When we publish, we note the verification date — and we always recommend confirming current pricing on the vendor's site before you buy.
2. Feature matrices from official documentation
We build side-by-side feature comparisons from official docs, changelogs, and help centers — not from marketing landing pages. Marketing copy says "AI-powered everything"; documentation says what the feature actually does and which plan it's on. We trust the docs.
3. Aggregated verified user reviews
We read reviews on established platforms (such as G2, Capterra, and Trustpilot) looking for patterns, not individual opinions: the same complaint appearing across dozens of reviews is signal; one angry review is noise. We pay special attention to reviews from businesses similar in size to our readers, and we note when review sentiment and marketing claims disagree.
We don't republish star ratings as our own scores. Aggregated ratings shift over time and across platforms, so we describe sentiment in words ("consistently praised for…", "recurring complaints about…") rather than inventing precision we don't have.
4. Use-case fit
There is no universally "best" tool — only the best tool for a specific situation. Every verdict is broken down by use case: team size, budget, technical comfort, and what you're actually trying to accomplish. A solo creator and a 20-person agency should get different answers, and our verdicts say so explicitly.
5. The honesty check
Before publishing, every article has to pass one question: did we claim anything we can't back up? Specifically:
- We never claim hands-on testing we didn't do. If a verdict is based on documentation and review aggregation, we say exactly that.
- We never present estimates as measurements. Ranges are labeled as ranges.
- We never hide a tool's weaknesses to make a verdict cleaner. Messy trade-offs stay in.
What we don't do
- No pay-to-rank. Vendors can't pay for placement or verdicts. Affiliate commissions are standardized by program and disclosed; they don't influence rankings (see our affiliate disclosure).
- No fake scores. You won't see "9.4/10" ratings invented to look scientific. Our verdicts are written recommendations with reasoning you can inspect.
- No set-and-forget. Articles are reviewed and updated regularly. If a vendor changes pricing or kills a feature, the article gets updated and the date stamp changes.
Corrections
We get things wrong sometimes — usually pricing that changed since our last check. If you spot an error, email hello@worthitstack.com and we'll verify and correct it, with the update date changed to reflect the fix.
Glossary — pricing and comparison terms we use
These are the terms our pricing tables and verdicts rely on, defined the way we use them across the site, so a term quoted from a comparison means the same thing here.
- Per-seat pricing
- Pricing that multiplies by the number of users on the account, so the total rises every time a team member is added, even if usage stays the same.
- Per-contact pricing
- Pricing that scales with the number of contacts or subscribers stored in the account, so the total rises as a list grows, even if sending volume stays the same.
- Flat pricing
- Pricing that charges one fixed amount for a tier regardless of seat or contact count, within that tier's stated limits, so the total does not rise as a team or list grows inside the tier.
- Annual billing
- Paying for a year upfront, usually at a lower effective monthly rate than paying month to month, in exchange for committing before knowing whether the tool still fits in a year.
- Feature matrix
- A side-by-side table that lists the same features for each tool and marks which plan includes each one, built from official documentation rather than marketing pages.
- Verified review aggregation
- Reading reviews on established platforms for patterns that repeat across many reviewers, rather than treating any single review as evidence, and describing sentiment in words rather than invented scores.
Frequently asked questions
How do you verify software pricing?
We pull current pricing directly from vendor pricing pages and map what each tier actually costs at realistic usage levels — not just the headline 'from' price. We track jumps between tiers, per-seat vs. per-contact vs. flat models, annual-vs-monthly differences, and what's genuinely included versus an add-on. We note the verification date when we publish.
Do you rely on vendor marketing copy?
No. We build side-by-side feature comparisons from official docs, changelogs, and help centers — not from marketing landing pages. Marketing copy says 'AI-powered everything'; documentation says what the feature actually does and which plan it's on. We trust the docs.
How do you use customer reviews?
We read reviews on established platforms such as G2, Capterra, and Trustpilot looking for patterns, not individual opinions: the same complaint appearing across dozens of reviews is signal; one angry review is noise. We never republish star ratings as our own scores — we describe sentiment in words rather than inventing precision we don't have.
What happens if you get something wrong?
We get things wrong sometimes — usually pricing that changed since our last check. If you spot an error, email hello@worthitstack.com and we'll verify and correct it, with the update date changed to reflect the fix. Corrections are the fastest way we improve.
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