Key takeaways
- Volume tiers matter only when they match how often your team actually verifies.
- Confirm how risky or uncertain rows are billed and refunded before estimating spend.
- Credits that do not expire can suit irregular list cleaning, but quality and export still matter.
- Include API, integration, support, and recheck needs in the comparison.
- Verify all current prices and terms on the official MillionVerifier site before purchase.
MillionVerifier pricing is built around a simple buyer question: how many email addresses do you need to verify? The more useful question is broader: how often will you verify, what will you do with uncertain rows, and how much operational work sits around each job?
MillionVerifier’s public site currently presents volume-based credit packages, API and CSV verification, integrations, and non-expiring credits. Use the live MillionVerifier pricing page for exact amounts because package sizes and promotions can change.
Match the package to your workflow
Estimate separately:
- One-off list cleaning.
- Monthly campaign checks.
- New-signup verification.
- CRM revalidation.
- Agency or multi-client work.
If your demand is lumpy, buying a large package may reduce unit cost but leave balance unused for longer than expected. If your demand is predictable, recurring or volume-based pricing may be easier to forecast.
Review risky-result economics
Ask what happens when the service returns a risky, unknown, or catch-all result. Is the row charged? Is there a refund or review policy? Does a recheck consume another credit? Write the answers into your estimate.
The percentage of uncertain rows differs by list source. A clean opt-in list and a scraped B2B file should not be modeled the same way.
Inspect the data contract
For a CSV, confirm:
1. Maximum upload size. 2. Supported formats and encodings. 3. Original-column preservation. 4. Duplicate handling. 5. Progress and job recovery. 6. Complete export behavior.
For an API, confirm authentication, rate limits, latency, retries, and response fields. The operational cost of a missing or ambiguous field belongs in the comparison.
Separate verification from permission
A good result says something about likely delivery. It does not say the person opted in or that you should send a campaign. Keep consent, unsubscribe, and suppression records separate from the verification status.
Compare the result policy
Use a table before choosing:
| Question | Why it matters |
|---|---|
| Is valid clearly defined? | Prevents overpromising delivery |
| Are risky and unknown separate? | Supports different actions |
| Are catch-alls identified? | Avoids treating broad acceptance as proof |
| Are results timestamped? | Shows freshness |
| Can exports be reconciled? | Protects CRM and campaign data |
VeriMailX is designed to return a clear next action for single addresses and bulk rows, with pricing that teams can compare against their expected workflow rather than a generic promise.
The bottom line
MillionVerifier pricing is only good value when the credit model, result behavior, data export, and workflow fit your business. Use current official prices, test your own list, and include the cost of rechecks and manual review.
Sources
Frequently asked questions
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