Prospecting
Part of Sales development tools
Comparing prospecting tools by stated field data provenance
Compare prospecting data by source, field-level checks, recency and correction path, with LinkedIn and Apollo examples.
Compare employer, role and email values separately. LinkedIn describes CRM profiles and an outdated-contact flag; Apollo reports an email-accuracy figure, but does not identify the origin of every field.
A profile, a validation flag and a vendor accuracy figure are different kinds of evidence. For each value, distinguish its stated origin, check, recency and correction route.
Define the claim first
A field’s origin is who or what supplied it; verification is the check applied to it; freshness is when it was last updated. An overall accuracy figure cannot establish that a particular employer, role or email is correct.
For a sample record, note the field, disclosed origin, check, update date and correction route. If a date or route is not stated, record it as unknown rather than assuming the value is current.
Compare two different models
For employer or company, LinkedIn says CRM Embedded Profiles display LinkedIn member and company profile information. That describes the profile information shown, but does not specify who supplied a particular employer value or how it is verified. Apollo reports a 230M+ contact database and built-in enrichment, but does not state the employer or company field’s source or check in its email-accuracy article.
For role, LinkedIn’s Embedded Profiles include member profile information, but the stated details do not identify the source or verification method for a role value. Apollo does not state where job-title values come from or how they are checked.
For email, the LinkedIn details do not identify an email source or verification method. Apollo reports 97% email accuracy, but the claim gives no field-level origin or verification method, and no Australian breakdown; treat it as a vendor-level figure, not a guarantee for an individual contact.
LinkedIn CRM data validation flags out-of-date contacts, but does not state a field-level refresh cadence. Apollo does not state one either, and neither description specifies a field-level correction or dispute route. These gaps make freshness and correction harder to assess than the stated profile channel or Apollo’s aggregate email figure.
Sales Navigator CRM integration is available to Advanced Plus users. Salesforce data validation also requires the Sales Navigator for Salesforce app to be installed, according to LinkedIn’s CRM integration details.
On the information stated, LinkedIn identifies the profile channel and an outdated-contact flag; Apollo supplies an aggregate email-accuracy claim. Neither gives a complete field-by-field account of origin, verification, freshness and correction for employer, role and email.
Field-Level Data Provenance: LinkedIn vs Apollo
- Employer/Company SourceLinkedIn: CRM Embedded Profiles (no specified source) Apollo: Not stated in data overview
- Role/Job Title SourceLinkedIn: Member profile information (no verification method stated) Apollo: Not stated in data overview
- Verification MethodLinkedIn: Outdated-contact flag only Apollo: Not disclosed
- Freshness (Recency)LinkedIn: No field-level refresh cadence stated Apollo: No refresh cadence stated
- Correction/Dispute RouteLinkedIn: Not specified for individual fields Apollo: Not specified
Inspect a bounded sample
Select accounts your business could serve. Include common and less common roles, employer changes already known to the business, missing emails and possible mismatches.
Compare each tool’s claim with an appropriate current source or a direct correction already held by the business. Record correct, wrong, missing and uncheckable separately, and do not send messages to conduct the review.
Review uncertain fields before export or CRM sync. A wrong employer may route work to the wrong account; a missing email may call for another permitted contact route. Those consequences differ and should not be collapsed into one accuracy score.
Where APP 3 applies, an organisation may collect personal information only when it is reasonably necessary for its functions or activities, and must use lawful and fair means. APP 10 requires reasonable steps to ensure information is accurate, up-to-date and complete when collected, and accurate, up-to-date, complete and relevant when used or disclosed (OAIC guidance on APP 3; OAIC guidance on APP 10).
Before sending marketing, consult the ACMA’s Avoid sending spam guidance.
Key Compliance Considerations (Australia)
- APP 3 – Collection of Personal Information
- Only collect if reasonably necessary; use lawful and fair means
- APP 10 – Quality of Personal Information
- Ensure accuracy, up-to-date status, completeness at collection and use
- ACMA Spam Guidance
- Review before sending marketing communications to avoid spam



