Does the platform cover your actual buyer?
Test representative industries, geographies, company sizes, departments and seniority rather than relying on aggregate counts.
Lusha publicly positions itself around sales intelligence, verified business contacts, buyer signals and enrichment. If you are evaluating alternatives, test the quality of your own target market and decide whether your priority is fast contact discovery, deeper signals, connected data preparation or end-to-end campaign operations.
A contact record is valuable only if it is relevant, usable and connected to the right company and next action.
Test representative industries, geographies, company sizes, departments and seniority rather than relying on aggregate counts.
Inspect freshness, validation states, direct/mobile/company-number classification and what happens when a result is uncertain.
If your team sells on timing, compare hiring, funding, job-change, intent or other signal coverage directly against your use cases.
Evaluate CSV/CRM enrichment, field mapping, duplicate handling and whether results remain auditable after they are written back.
Understand reveal, export, enrichment, validation and integration costs, and whether the free plan is enough for a realistic test.
Measure the manual work required to move a selected record into CRM, email marketing, campaign operations or another sales tool.
The GANReach proposition is not only “find a phone number or email.” It connects discovered and first-party records to enrichment, verification, credits and activation workflows.
Build focused B2B prospect lists from company and professional criteria.
Explore B2B Search →Enrich company/contact records and prepare CRM-ready outputs instead of treating every campaign as a new list purchase.
Explore Data Enrichment →Use available address, domain, risk and suppression signals before activating B2B email data.
Explore Email Verification →Data Value Exchange provides an additional credit path for eligible, quality-reviewed business-data contributions.
Explore Data Value Exchange →Map and deliver approved data and campaign outcomes through account-controlled CRM workflows.
Explore CRM Data Enrichment →Use internal, Partner or managed campaign paths where those execution models fit the project.
Explore Demand Operations →No single score proves data quality across every market.
Vendor-wide accuracy claims may not match your niche, geography or job functions.
A populated field is not necessarily current; ask how recent changes are handled.
CRM enrichment is useful only when field mapping, duplication and overwrite rules are controlled.
Include enrichment, validation, cleanup and activation—not only the cost of revealing a contact.
Compare contact usability, data-quality workflow and total cost using the same sample across every shortlisted platform.