If you mean Last Database, it may assist with professional targeting research provided it supports:

• Advanced filters for industry, job title, seniority, location, company size, and technology used
• Company and contact-level data
• Data enrichment and verification
• List building, deduplication, and exports
• Research into account-based marketing or prospecting segments
• Privacy and outreach-compliance controls

However, I can’t verify from the available information which of these capabilities Last Database currently provides. For professional use, evaluate its data coverage, freshness, accuracy, sourcing methodology, geographic reach, and GDPR/CCPA compliance—database-based research can be useful but is limited by missing or inaccurate fields 1The promise and peril of database research: Common pitfalls ...Despite limitations, large clinical databases remain indispensable to health services and outcomes research. They provide insights that randomized trials often ...Missing: professional- | Show results with: professional-nih2Use of databases for clinical research - PubMedHigh-quality databases can readily capture outcome data (as part of routine clinical care) without the costs and burden of additional trial-related follow-up, ...nih.

If you’re referring to a different product or can share its website, I can assess its targeting-research capabilities more precisely.

Businesses can use Last Database for role hierarchy analysis by turning contact and company records into a structured view of who reports to whom, who influences decisions, and where authority sits. I couldn’t verify public documentation showing that Last Database specifically includes org-chart or reporting-line data, so these workflows depend on its available fields and integrations.

Practical workflow

1. Define the target account

   • Filter by industry, geography, revenue, employee count, or technology stack.
   • Save the company as the analysis account.

2. Segment contacts by hierarchy

   • Group people by title, department, seniority, and function:
     • C-suite and executives
     • Vice presidents
     • Directors
     • Managers
     • Individual contributors
   • Job-title and company-size filters are standard capabilities of B2B databases 410 Best Sales Lead Databases for 2026 (Reviewed)And while its database is strong, it’s not as expansive as ZoomInfo or Generect, especially for very specific roles or international markets. Pricing starts at around $74/month for 170 credits. Higher plans give you more data and team features. There’s also a free trial, so you can see if it fits your workflow. If you’re doing a lot of outbound and constantly need new contacts, Seamless.AI could be your best friend. It’s a lead generation lead database for sales and marketing designed for volume, letting you grab real-time contact info while browsing LinkedIn or company websites.generect.

3. Map decision-making roles Classify each contact as:

   • Economic buyer — controls budget
   • Technical buyer — evaluates implementation
   • Business sponsor — owns the business outcome
   • Champion — actively supports the purchase
   • Influencer or user — affects adoption
   • Procurement/legal — manages approval and contracting

4. Build the reporting structure

   • Use explicit manager, department, or reporting-line fields if available.
   • Otherwise, infer a preliminary hierarchy from title seniority, department, location, and company information, then validate it against the company website, LinkedIn, or CRM.
   • Treat inferred relationships as hypotheses—not confirmed reporting lines.

5. Identify coverage gaps

   • Check whether an account has contacts at multiple levels.
   • Flag accounts where the team knows only a manager but not the executive sponsor, or only an executive but not the operational user.
   • This supports multi-threaded account-based selling instead of relying on one contact.

6. Prioritize outreach

   • Rank contacts by authority, functional relevance, buying signals, and data quality.
   • Modern databases may add intent, hiring, funding, technology, and behavioral signals to help prioritize prospects 112 Best Lead Generation Databases 2026: Pricing & AccuracyLead databases continuously update records, maintaining 90-97% accuracy vs 60-70% for static lists. Targeting precision: Instead of broad “VP Marketing in SaaS” searches, advanced filters enable hyper-specific targeting like “CMOs at Series B SaaS companies with 50-200 employees using HubSpot, hired in the last 90 days.” This precision reduces wasted outreach by 40-60%.lagrowthmachine2What data should a lead generation database track?The most robust databases also include features like AI-powered lead ranking, automated lead list generation, and lead behavior data that informs teams when leads are most likely to convert, enabling agencies to put the most important lead ... Published: June 24, 2026vendasta.

7. Sync the map with the CRM

   • Store role type, seniority, department, manager, influence level, relationship status, and last-verified date.
   • Keep separate fields for confirmed and inferred hierarchy data.

Example

For a cybersecurity sale, a business might map:

• CISO — executive sponsor and budget owner
• VP Infrastructure — technical decision-maker
• Security Operations Director — operational evaluator
• SOC Manager — day-to-day champion
• Procurement Manager — commercial gatekeeper

The sales team can then tailor messaging to each role and ensure that a single stalled contact does not block access to the broader buying committee.

Important safeguards

• Verify titles and reporting relationships because organizational data changes frequently.
• Avoid treating seniority as proof of purchasing authority.
• Deduplicate contacts before exporting; poor-quality databases can create duplicate CRM records 810 Best Lead Generation Databases in 2026Your lead generation database decays 2% monthly. Prospeo refreshes every 7 days with 98% email accuracy.Try Prospeo Free → ... A RevOps lead we know ran a three-tool bake-off last quarter. The lead generation database with the biggest contact count created a mess of duplicates in Salesforce within days.prospeo.
• Review applicable privacy and outreach rules before using personal contact data.
• Measure accuracy by checking a sample of accounts against primary sources.