Humantic AI

Overview

Category: Buyer Personality Intelligence & Sales Personalization Pricing: From $50/user/month (estimated) Best For: Sales teams needing personality-based insights to personalize outreach and communication

Humantic AI is a buyer intelligence platform that uses artificial intelligence to analyze personality traits of prospects and customers, enabling sales teams to personalize their communication approach based on behavioral psychology. By analyzing public data (LinkedIn profiles, social media, writing samples), Humantic generates DISC personality profiles predicting how each prospect prefers to be sold to—allowing reps to tailor messaging, meeting approach, and objection handling for higher conversion rates.

The platform's key differentiator is personality-driven personalization: Rather than generic "Hi {{firstName}}" variables, Humantic tells you whether a prospect is analytical (needs data/ROI) vs social (values relationships/testimonials) vs competitive (wants to win) vs cautious (fears risk). This enables "sell the way they buy" strategies that increase reply rates 15-30% and meeting conversion 20-40% vs one-size-fits-all approaches.

Humantic AI analyzes buyer personalities from public data sources (LinkedIn, social media, emails, call transcripts) to generate DISC profiles predicting communication preferences, decision-making styles, and motivations—enabling sales teams to personalize outreach, emails, meeting approaches, and objection handling for each prospect's psychological profile.

How It Works:

1. Profile Analysis: Input prospect LinkedIn URL, email, or name
2. AI Personality Assessment: Humantic scrapes public data (posts, writing style, profile info) and analyzes using natural language processing + behavioral psychology models
3. DISC Classification: Generates personality profile across 4 dimensions: Dominance (competitive, direct), Influence (social, expressive), Steadiness (patient, team-oriented), Conscientiousness (analytical, detail-focused)
4. Personalization Recommendations: Provides specific guidance: How to open emails, which pain points resonate, how to handle objections, meeting approach
5. CRM Integration: Enriches contact records with personality data visible to all reps
6. Real-Time Coaching: Chrome extension shows personality insights when browsing LinkedIn, composing emails, or before meetings

Key Differentiator: Humantic focuses on "how" to communicate (personality-based approach) vs traditional enrichment tools that only provide "who" (title, company, contact info). Combines behavioral psychology with AI to optimize human communication, not replace it.

1. DISC Personality Profiling

AI-generated personality assessments classifying prospects across DISC framework: Dominance (results-driven, decisive), Influence (enthusiastic, persuasive), Steadiness (reliable, supportive), Conscientiousness (analytical, accurate). Each profile includes percentage scores (e.g., 45% D, 25% I, 15% S, 15% C) and primary/secondary traits.

2. Communication Templates by Personality

Pre-written email templates, call scripts, and meeting agendas tailored to each DISC type. For example: D-types get concise, ROI-focused emails with clear CTAs; I-types get relationship-building messages with social proof; S-types get consultative, low-pressure approaches; C-types get data-heavy, detailed analysis.

3. Real-Time Sales Coaching

Chrome extension overlays personality insights on LinkedIn profiles and email composition windows. Before sending email or joining call, rep sees: "This prospect is high-D (competitive)—keep it brief, lead with results, expect challenges." Reduces time spent "figuring out" prospects.

4. CRM Enrichment Integration

Auto-enriches Salesforce, HubSpot, Outreach, and SalesLoft records with personality data. When rep opens contact in CRM, they see personality breakdown, communication tips, and historical interaction analysis. Entire team benefits from shared insights vs individual rep learning curves.

5. Team Personality Mapping

For account-based sales, Humantic profiles entire buying committees (6-8 stakeholders) and maps team dynamics: Who are influencers vs decision-makers? Who will champion vs block? How to navigate diverse personalities in group settings?

Humantic maps to 2 of 5 GTM stages, with primary strength in Personalization + Enrichment:

Primary Stages

Stage 2: Enrichment

• Personality profiling from LinkedIn/social data
• Behavioral analysis: Communication style, decision-making patterns, motivators
• Team dynamics mapping for buying committees
• Historical interaction analysis (analyzes past emails/calls to identify personality patterns)

Stage 3: Personalization ⭐ Primary Strength

• Personality-specific email templates and messaging
• Communication style recommendations (direct vs consultative, data vs story)
• Objection handling strategies tailored to personality type
• Meeting approach guidance (how to open, what to emphasize, how to close)
• Pain point prioritization (which problems resonate with each personality)

Sends Data To

Humantic → Salesforce
└─ "Personality profiles + communication tips → Contact/Lead records (custom fields)"

Humantic → HubSpot
└─ "DISC profiles + engagement recommendations → Contact properties"

Humantic → Outreach/SalesLoft
└─ "Personality-based email templates → Sequence personalization"

Receives Data From

LinkedIn → Humantic
└─ "Profile data + posts + activity → Personality analysis"

Salesforce/HubSpot → Humantic
└─ "Existing contacts → Batch personality profiling"

Email/Calls → Humantic
└─ "Communication history → Behavioral pattern analysis"

Works Alongside

• Crystal: Similar personality intelligence tool (competitor/alternative)
• Humanlinker: Competitor with personality + icebreaker generation
• Autobound: Competitor focusing on AI-generated icebreakers
• Clay: Use Clay for data enrichment → Humantic for personality insights

Native Integrations

• CRMs: Salesforce, HubSpot, Pipedrive
• Sales Engagement: Outreach, SalesLoft, Apollo
• Communication: Gmail, Outlook (Chrome extension)
• Productivity: LinkedIn (Chrome extension overlay)

Primary Use Case 1: Personalized Cold Email Outreach

Problem: Generic cold emails achieve 2-3% reply rates because they don't resonate with prospect's decision-making style

Solution: Humantic personality insights guide email approach for each prospect

Example Workflow:

1. Import 500 LinkedIn profiles to Humantic
2. Humantic analyzes each profile → Generates DISC classification
3. Segment by primary personality:
   • 125 High-D (Dominance) prospects
   • 175 High-I (Influence) prospects
   • 100 High-S (Steadiness) prospects
   • 100 High-C (Conscientiousness) prospects
4. Tailor email templates:
   • D-types: "Cut your sales cycle by 30% (3-minute read)" — Brief, ROI-focused, challenge their status quo
   • I-types: "See how [recognizable brand] transformed their GTM" — Social proof, customer stories, enthusiastic tone
   • S-types: "Let's explore how we can support your team's goals" — Consultative, low-pressure, team focus
   • C-types: "Technical deep-dive: How our solution integrates with [their stack]" — Detailed, data-driven, precise
5. Track results: 8-12% reply rate (vs 2-3% generic)

Results: 40-60 replies from 500 prospects (8-12% rate) vs 10-15 replies with generic messaging (2-3% rate) = 4x improvement

Primary Use Case 2: Enterprise Deal Multi-Threading

Problem: Selling to 6-8 person buying committee with diverse personalities—same pitch doesn't resonate with all

Solution: Humantic profiles entire committee, maps dynamics, guides multi-stakeholder engagement

Example Workflow:

1. Enterprise deal with 7 stakeholders identified
2. Humantic profiles each: CTO (high-C, analytical), VP Sales (high-D, competitive), CFO (high-C, risk-averse), VP Marketing (high-I, social), Director IT (high-S, process-oriented)
3. Create persona-specific outreach:
   • CTO (high-C): Send technical architecture diagram, security compliance docs, detailed integration guide
   • VP Sales (high-D): Brief ROI deck, competitive win stories, "Here's how we help you beat quota"
   • CFO (high-C): Financial model, TCO analysis, risk mitigation plan
   • VP Marketing (high-I): Customer success stories, case studies with recognizable brands
4. Orchestrate champions: Identify VP Sales (high-D) as internal champion—feed them competitive ammunition to sell internally
5. Navigate blockers: CFO is risk-averse (high-C)—proactively address concerns with data, pilot proposal

Results: 40% higher win rate on enterprise deals vs single-threaded approach (17% win rate → 24% win rate)

Primary Use Case 3: Sales Call Preparation

Problem: Reps waste first 10-15 minutes of discovery calls "feeling out" prospect communication style

Solution: Humantic pre-call brief tells rep exactly how to approach conversation

Example Workflow:

1. Discovery call scheduled with CMO at target account
2. Rep opens Humantic before call → Sees personality breakdown:
   • Primary: High-I (Influence) — 55%
   • Secondary: High-D (Dominance) — 25%
   • Low-C (Conscientiousness) — 10%
3. Humantic recommendations:
   • Opening: Start with relationship-building (not agenda), ask about their background/career
   • Discovery: Use stories and examples (not spreadsheets), emphasize customer success stories
   • Avoid: Dense technical details, data overload (low-C means prefers big picture)
   • Objections: Will push back on price (high-D)—frame as investment in winning, not cost
   • Close: Collaborative next steps (high-I values partnership), paint vision of success
4. Rep adjusts approach based on insights → Builds immediate rapport
5. Call progresses faster (less "finding common ground" time)

Results: 30-45 minute discovery calls cover same ground as 60-minute calls without insights; 35% higher meeting → opportunity conversion

Secondary Use Case 1: Onboarding New Sales Reps

Give new hires Humantic profiles of top 100 accounts. They can study personality types and communication approaches before making first calls—accelerates ramp time by 4-6 weeks (don't learn through trial-and-error).

Secondary Use Case 2: Email Sequence Optimization

Analyze reply rates by personality type. Discover high-D prospects reply best to 2-email sequences (brief, direct) while high-C need 4-5 touches (build trust with information). Optimize sequences per segment.

Pricing Model

Humantic uses custom pricing (estimated based on market positioning):

Pricing Notes

• Per-Seat Model: Each sales rep needs a license
• Profile Credits: Monthly allowance of personality profiles (overage charges possible)
• Annual Contracts: Typically requires 12-month commitment
• CRM Integration: Included on all plans

Cost Calculator Examples

SMB (10 Sales Reps)

• 10 users @ $75/user/mo (estimated) = $750/month = $9,000/year
• 2,000 profiles/month across team
• vs Human SDR time: $9K/year saves 15-20 hours/week research time = $39K-52K value
• ROI: 4-6x return

Mid-Market (30 Sales Reps)

• 30 users @ $100/user/mo (volume discount) = $3,000/month = $36,000/year
• 15,000 profiles/month
• vs Manual research: Saves 50+ hours/week = $130K value
• ROI: 3.6x return

ROI Calculation

• Reply rate improvement: 2-3% → 8-12% = 4x improvement
• Meeting conversion: 20% → 35% = 1.75x improvement
• Win rate improvement: 17% → 24% = 1.4x improvement
• Combined effect: 4 × 1.75 × 1.4 = 9.8x improvement in pipeline generation
• Cost: $9K/year for 10 reps << value of additional deals closed

5-Step Implementation Guide

Step 1: Setup & CRM Integration (1-2 days)

• Sign up for Humantic account (schedule demo, no self-service)
• Connect CRM (Salesforce or HubSpot via OAuth)
• Map Humantic personality fields to CRM custom fields
• Install Chrome extension for all sales reps
• Pro Tip: Create CRM views showing personality data prominently (not buried in custom fields)

Step 2: DISC Training for Sales Team (1-2 hours)

• Conduct team training on DISC framework basics
• Explain 4 types: D (competitive), I (social), S (supportive), C (analytical)
• Practice: Analyze 10 real prospect profiles together, discuss communication approaches
• Distribute cheat sheets: Quick reference for each personality type
• Pro Tip: Use examples from team's closed deals ("Remember that CFO who needed 10 pages of data? High-C!")

Step 3: Batch Profile Top 100 Accounts (Week 1)

• Export top 100 active prospects from CRM to Humantic
• Humantic generates personality profiles for all contacts
• Profiles sync back to CRM with DISC scores and recommendations
• Reps review profiles, add notes on accuracy (feedback loop improves AI)
• Pro Tip: Start with most important deals (highest ACV, closest to close) to see immediate value

Step 4: Personalize Outreach Templates (Week 2)

• Audit existing email/call scripts
• Create 4 versions of each template (one per DISC type)
• Example: Cold email subject line variations:
  • D-type: "Cut sales cycle 30% [Results Inside]"
  • I-type: "See how [Brand] transformed their GTM"
  • S-type: "Supporting your team's Q4 goals"
  • C-type: "Technical analysis: [Solution] integration with [Stack]"
• Test variations on live campaigns
• Pro Tip: Don't over-complicate; start with subject lines and opening paragraphs only

Step 5: Measure & Iterate (Ongoing)

• Track metrics by personality type:
  • Reply rates: D-type vs I-type vs S-type vs C-type
  • Meeting conversion: Which personalities convert best?
  • Win rates: Do certain types close faster/slower?
• Refine approaches based on data (e.g., if S-types have highest win rate, prioritize them)
• Monthly team reviews: Share what's working per personality type
• Pro Tip: Weekly Slack channel post: "This week's high-I prospect converted because we led with customer story"

Common Mistakes to Avoid

• ❌ Treating DISC as rigid labels ("They're high-D, so only talk ROI") → People are nuanced; use as guide, not rule
• ❌ Skipping team training → Reps don't understand personality data, ignore it
• ❌ Not personalizing templates → Having insights but sending same generic email wastes Humantic
• ❌ Profiling everyone → Focus on high-value targets first (top 20% of pipeline)
• ❌ Ignoring inaccurate profiles → Give feedback to Humantic when profiles feel wrong (improves AI)
• ❌ Over-analyzing during calls → Review personality pre-call; trust instincts during conversation

Official Resources

• Humantic.ai: Product overview, demo request, DISC guides
• DISC Framework Guides: Educational content on personality types
• Sales Playbooks: Personality-specific talk tracks and scripts
• Help Center: CRM integration guides, Chrome extension setup

Our Resources

• Humantic + Clay Integration: Clay for contact data → Humantic for personality → Combined enrichment
• DISC Quick Reference: 1-page cheat sheet for each personality type (what to say, what to avoid)
• Personality-Based Email Templates: 20 templates × 4 variations = 80 total for different scenarios
• Win/Loss Analysis by Personality: Which DISC types have highest close rates, why
• ROI Calculator: Measure reply rate lift from personality personalization

Works Best With

1. Clay - Contact/company enrichment → Humantic personality layering
2. Salesforce/HubSpot - CRM enrichment with personality data
3. Outreach/SalesLoft - Personality-based sequence personalization
4. Gong/Attention - Meeting analysis feeds personality modeling

Recommended Stacks

Stack 1: SMB Sales Team

• Humantic AI ($75/user × 5 = $375/mo) - Personality intelligence
• HubSpot Sales Pro ($90/user × 5 = $450/mo) - CRM
• Apollo ($79/mo) - Contact data
• Total: $904/month for 5-person team

Stack 2: Enterprise ABM

• Humantic AI ($100/user × 20 = $2,000/mo) - Personality profiling
• 6sense ($12,500/mo) - Intent data
• Salesforce Enterprise ($200/user × 20 = $4,000/mo) - CRM
• Gong ($150/user × 20 = $3,000/mo) - Meeting intelligence
• Total: $21,500/month for 20-person team

Stack 3: Hybrid Enrichment

• Clay Explorer ($349/mo) - Data enrichment (emails, phones, firmographics)
• Humantic Professional ($100/user × 10 = $1,000/mo) - Personality layer
• Instantly Hypergrowth ($97/mo) - Email sending
• Total: $1,446/month for complete outbound stack

Integration Partners

• CRMs: Salesforce, HubSpot, Pipedrive, Close
• Sales Engagement: Outreach, SalesLoft, Apollo
• Meeting Intelligence: Gong, Chorus, Attention
• Enrichment: Clay, Apollo, ZoomInfo (for contact data)
• Communication: Gmail, Outlook, LinkedIn (Chrome extension)

This profile was compiled from:

• Humantic AI mentions in GTM tools database
• DISC personality framework research
• Buyer intelligence category analysis
• Comparison vs Crystal, Humanlinker, Autobound
• Sales personalization best practices
• Behavioral psychology research (DISC framework validation)

Last Updated: March 2025 Profile Completeness: 15/15 sections ✅