Salesforce Email Validation That Cleans Every Contact and Lead in Your CRM.

Two ways, and neither needs an installed package. The simplest is a CSV export: pull a report of your Contacts or Leads in Salesforce, export it to CSV, and upload it to the bulk verification engine. We validate every address in the file and hand back a cleaned list you re-import, so your CRM ends up with only deliverable emails.

For continuous hygiene, wire the REST API into your stack so each new or updated record is verified the moment it lands. You can call it from Flow via an outbound callout, from middleware like Zapier or Workato, or from your own integration. Same engine either way, so a one-off CSV scrub and a live API check return identical verdicts.

Because CRM data decays. B2B contact data goes stale at roughly 22.5 % to 30 % a year as people change jobs, and every dead address you mail to is a hard bounce. Pile up enough bounces and mailbox providers throttle or block your domain, so a dirty Salesforce list quietly drags down deliverability for every campaign, not just the one that hit the bad addresses.

Validating the list first protects your sender reputation and your inbox placement. Clean the contacts before the send, and your good emails keep landing where they should.

Yes, and the free tier is sized for real CRM work, not a teaser. From this page you can spot-check 4 emails per day with no account, useful for sanity-checking a suspect lead before you call it.

For an actual export, create a free account and you get 1,000 validations on the spot, or 2,500 if you sign up with a work address. That covers a typical small-org Contacts report export in one pass, with credits left over for the Leads object. Past that, credits are pay-as-you-go and never expire, with volume pricing shown for your region.

Nine checks run in parallel on every value sitting in the Email field of a Contact or Lead, the things Salesforce itself never tests when a rep types an address in:

• Syntax + format validation (RFC 5321 / 5322)
• Domain existence and MX record presence
• SMTP handshake and mailbox-exists ping
• Disposable-domain match
• Role-address detection (info@, sales@)
• Catch-all domain detection
• AI-confidence pass on catch-all addresses
• Domain age scoring (fresh-spam vs aged, trusted domains)
• Email authentication (SPF, DKIM, DMARC presence)

The catch-all resolution is the one most validators skip, and it’s where 20 to 40 % of B2B lists actually fail. Salesforce orgs skew hard toward exactly that data: work addresses on corporate domains where the mail server says yes to everything. To spot-check a single record, the free email checker runs the same engine one address at a time.

Yes, and the whole loop stays inside tools you already use. Build a report on Contacts or Leads with the Email column (plus the record ID, so the round trip is unambiguous), use Export Details to get a CSV, and upload it. The engine runs the file in parallel at roughly 10,000 emails per minute and hands back a cleaned, deduplicated list with a per-address verdict.

On the way back in, Data Loader or the Data Import Wizard updates the original records by ID, so verdicts land on the right Contact instead of creating duplicates. The free signup tier covers 1,000 validations (2,500 with a work email), and for larger orgs paid credit packs are pay-as-you-go and never expire, with CSV upload plus API access included from the free tier up.

No. Verifox works with your Salesforce data through a plain CSV export or the REST API, so there’s nothing to install in your org and no admin review to wait on. Export, clean, re-import, or call the API from Flow and middleware for live checks.

That keeps validation decoupled from your CRM’s release cycle. The same approach connects HubSpot, Pipedrive, Zapier, Klaviyo, Mailchimp, and Brevo, so the moment your data lives anywhere that can export a CSV or speak REST, Verifox can verify it.

No, and for CRM data that question is the whole ballgame: a Contacts export is customer PII your security team is accountable for. Every address is processed in memory and discarded the moment validation completes. Nothing logged, nothing retained, nothing sold, whether you upload a CSV export or stream records through the API from Flow. Your Salesforce org stays the only system of record.

We’re SOC 2 Type II compliant with the full Trust Center report on request, which is usually what a vendor-review checklist asks for before an export leaves the org. The privacy policy has the byte-by-byte breakdown of what we touch and what we don’t.

99.99 % accuracy, benchmarked on a 1,000-address list built to look like a real CRM export: corporate domains behind catch-all servers, role inboxes a rep saved as a contact, and addresses that went stale when the person changed jobs. Those are exactly the cases where simpler validators guess, and exactly what fills a Salesforce org, so the benchmark mix matters more than the headline number.

The free tier doesn’t trade accuracy for the price tag. It caps volume only. Every check the paid Email Verification API runs, the same engine behind 2.1B+ verified addresses, is the check this page runs on your CRM list. Plans and volume tiers are on the pricing page.

Yes. The REST API reference documents the inbound and outbound shapes for every endpoint, so you can drop real-time validation into a web-to-lead form, a Screen Flow, or an outbound callout that fires whenever a record is created or updated. Bad addresses get caught at entry instead of polluting the org.

Verifox also ships native MCP server support so AI agents (Claude, Cursor, custom LLM apps) can validate CRM addresses without glue code. Drop the MCP URL into your agent config and the tools are wired.

Keep the record ID in your export and the round trip is one update job. The cleaned CSV you download carries a per-address verdict (valid, invalid, or risky) alongside your original columns, so you map the verdict onto a custom field, something like an Email Status picklist on Contact and Lead, and run an update in Data Loader or the Data Import Wizard keyed on the ID. No new records, no duplicates, just verdicts landing on the rows they came from.

From there the field is yours to operationalize: filter campaign report types to valid-only, build a list view of invalids for SDRs to re-source, or let a Flow route risky addresses for review. Teams doing this continuously usually graduate to the REST API and write the verdict at record creation instead of in batches.