Competitive Intelligence & Market Research

🎯 Multi-Dimensional Navigator

This skill serves B2B SaaS companies across multiple dimensions. Find your path:

STEP 1: What's Your Industry Vertical?

Your industry determines: Which competitors to track What research is critical vs nice-to-have Regulatory constraints Competitive positioning strategies Risk tolerance for aggressive tactics → Sales Tech (Gong, Outreach, Salesloft) - See Section A → HR Tech (Culture Amp, Lattice, BambooHR) - See Section B → Fintech (Razorpay, Happay, Stripe) - See Section C → Operations Tech (FieldAssist, Locus, logistics/retail) - See Section D → Other B2B SaaS - Use Sales Tech as base, adapt as needed

STEP 2: What's Your Company Stage?

Your stage determines: Research budget available Tool sophistication Time you can invest Depth of analysis needed Who does the work → Series A ($1M-10M ARR, 10-200 employees) - Path 1 → Series B/C ($10M-50M ARR, 200-1000 employees) - Path 2 → Series D+ ($50M+ ARR, 1000+ employees) - Path 3

STEP 3: What's Your Primary Market?

Your geography determines: Competitor set (local vs global) Pricing benchmarks Market size calculation methods Research sources available Language/cultural considerations → India-first market - India guidance → US-first market - US guidance → Global/multi-market - Hybrid approach

STEP 4: Who's Doing This Research?

Your role determines: Autonomy level Approval workflows Time available Output format needed → Founder/Co-Founder - Full autonomy → VP/Director - Manager approval → Product Marketing Manager - Team collaboration → Strategy/Insights Team - Stakeholder coordination

Quick Navigation by Common Scenarios

Most Common Use Cases: "I'm a Series A founder building battle cards for my sales team" → Go to: Section A1 (Sales Tech, Series A, Founder-Led Research) "I'm a PMM at Series B HR Tech, need competitive analysis for upmarket move" → Go to: Section B2 (HR Tech, Series B, Professional Research) "I'm CMO at Series C fintech, board wants market landscape" → Go to: Section C3 (Fintech, Series C+, Strategic Intelligence) "I'm VP at ops tech selling to India retail, need to size market" → Go to: Section D1 (Operations Tech, India Market Sizing)

📊 SECTION A: SALES TECH COMPETITIVE INTELLIGENCE

When To Use This Section: Your product: Sales engagement, conversation intelligence, sales enablement, coaching Your competitors: Gong, Outreach, Salesloft, Chorus, Apollo, ZoomInfo Your buyers: Sales leaders, CROs, RevOps Your go-to-market: PLG or sales-led for SMB/Mid-market

Your Reality Check:

• COMPANY PROFILE:
• Size: $1M-10M ARR, 10-100 employees
• Stage: Series A, finding PMF → scaling
• Team: Founder or PM doing research (side of desk)
• Budget: $0-500/month for ALL tools
• Timeline: 2-3 days max (need it for pitch/sales enablement)

The Sales Tech Competitive Landscape:

• Your Competitor Tiers:
• TIER 1: Enterprise Incumbents (NOT your competition... yet)
• Gong ($500M+ valuation, enterprise-focused)
• Outreach (public, enterprise)
• Salesloft ($2.3B valuation, mid-market+)
• WHY THEY MATTER: Buyers know these brands, you'll be compared
• YOUR ANGLE: "Too expensive/complex for SMBs"
• TIER 2: Growth-Stage Competitors (Your Real Competition)
• Chorus (acquired by ZoomInfo, mid-market)
• Revenue.io (Series B, conversation intelligence)
• Wingman (India-based, SMB focus)
• WHY THEY MATTER: Similar stage, similar ICP
• YOUR ANGLE: Feature differentiation, regional focus
• TIER 3: Emerging Startups (Watch List)
• Seed/Series A conversation intelligence startups
• AI sales coaching tools
• Regional players (India, SEA)
• WHY THEY MATTER: Could pivot into your space
• YOUR ANGLE: Speed, innovation, local expertise

Series A Sales Tech Research: 3-Day Sprint

• GOAL: Positioning deck + battle cards for sales team
• DAY 1: Competitive Landscape Mapping (4 hours)
• 09:00-10:00 | Define Your Competitive Set
• For Sales Tech, consider:
• □ Direct: Same solution (conversation intelligence)
• □ Indirect: Different tech, same outcome (sales training platforms)
• □ Adjacent: Complementary (CRM, sales engagement platforms)
• India-specific search strings:
• "conversation intelligence India"
• "sales enablement software India"
• "alternatives to Gong for SMB"
• "affordable sales coaching tools"
• US search strings:
• "Gong alternatives for small teams"
• "sales tech for Series A companies"
• "conversation intelligence under $10K"
• 10:00-11:30 | Categorize Competitors
• TEMPLATE:
• Company | Tier | ICP | Price Point | Geography | Strength | Weakness
• Gong | Tier 1 | Enterprise | $20K-50K+ | US/Global | Deep analytics | Too expensive
• Wingman | Tier 2 | SMB | $5K-15K | India | Local | Limited features
• [Yours] | - | SMB | $3K-10K | India→US | AI coaching | New brand
• 11:30-13:00 | Pricing Research (Critical for Sales Tech)
• Sales Tech = Price-sensitive market
• FREE RESEARCH SOURCES:
• □ G2 reviews mentioning price: "Filter by 'pricing' mentions"
• □ Reddit r/sales: "What do you pay for [tool]?"
• □ LinkedIn polls: "What's your sales tech budget?"
• □ Competitor job posts: Sales compensation = pricing signals
• WHAT TO FIND:
• Gong: $1,500-4,000/seat/year (from reviews)
• Outreach: $100-150/user/month
• YOUR TARGET: 50-70% cheaper than incumbents
• PRICING POSITIONING:
• "Enterprise features, SMB pricing"
• "Gong-quality insights at 1/3 the cost"
• DAY 2: Feature & Positioning Deep Dive (4 hours)
• 09:00-11:00 | G2 Review Mining (Sales Tech Specific)
• Sales Tech buyers care about:
• 1. Ease of implementation (IT approval hurdle)
• 2. Call recording quality
• 3. CRM integration (Salesforce, HubSpot MUST-HAVE)
• 4. Coaching insights (actionable)
• 5. ROI/deal velocity improvement
• WHAT TO EXTRACT:
• □ Top 3 features mentioned in 5-star reviews
• □ Top 3 complaints in 1-2 star reviews
• □ "Switched from X because..." patterns
• □ "Considering X vs Y" comparisons
• SALES TECH SPECIFIC INSIGHTS:
• 67% mention "Salesforce integration" as critical
• 43% complain about "too many features we don't use"
• 31% say "too expensive for our team size"
• 22% want "real-time coaching vs post-call analysis"
• YOUR OPPORTUNITY:
• ✅ Simplified feature set (80% of value, 20% of complexity)
• ✅ SMB pricing ($200-500/seat/year vs $1,500+)
• ✅ AI coaching focus (vs pure analytics)
• ✅ India-first, then global
• 11:00-13:00 | GTM Strategy Analysis
• Sales Tech companies typically use:
• ENTERPRISE (Gong, Outreach):
• Channel: Outbound sales (100+ SDRs)
• Content: Thought leadership, podcasts, events
• Pricing: Enterprise sales, no public pricing
• Cycle: 3-6 months
• MID-MARKET (Chorus, Revenue.io):
• Channel: Hybrid (inbound + outbound)
• Content: SEO, webinars, free tools
• Pricing: Visible tiers, sales for enterprise
• Cycle: 1-3 months
• SMB (Your Target):
• Channel: PLG + inbound
• Content: Tactical guides, YouTube, free tier
• Pricing: Self-serve, transparent pricing
• Cycle: <30 days
• COMPETITIVE INTEL:
• □ Check LinkedIn: Hiring SDRs = outbound motion
• □ Check content: Blog topics = SEO keywords they target
• □ Check ads: Facebook Ad Library for messaging
• DAY 3: Synthesis & Battle Cards (4 hours)
• 09:00-10:30 | Positioning Matrix (Sales Tech Specific)
• 2×2 MATRIX:
• X-Axis: Enterprise ←→ SMB
• Y-Axis: Pure Analytics ←→ Coaching Focus
• WHERE COMPETITORS LAND:
• Gong: Top-left (Enterprise, Analytics)
• Outreach: Left-center (Enterprise, Engagement)
• Chorus: Center (Mid-market, Analytics)
• [YOU]: Bottom-right (SMB, Coaching)
• WHITE SPACE IDENTIFIED:
• ✅ SMB + Coaching focus = underserved
• ✅ India market (Gong expensive for Indian SMBs)
• ✅ AI-powered real-time coaching (vs post-call)
• 10:30-12:00 | Battle Cards (Top 3 Competitors)
• BATTLE CARD TEMPLATE - SALES TECH FOCUS:
• ┌─────────────────────────────────────────────┐
• │ VS. GONG (Enterprise Incumbent) │
• ├─────────────────────────────────────────────┤
• │ THEIR STRENGTHS: │
• │ • Deep conversation analytics │
• │ • Forecasting accuracy │
• │ • Enterprise-grade security │
• │ • 1000+ integrations │
• │ │
• │ THEIR WEAKNESSES: │
• │ • Price: $20K-50K+ annually (too expensive) │
• │ • Complexity: Overkill for SMB (10-50 reps)│
• │ • Setup: Requires IT, 2-4 week onboarding │
• │ • Contract: Annual commit, enterprise sales │
• │ │
• │ WHEN THEY WIN: │
• │ • Large sales org (50+ reps) │
• │ • Complex B2B sales (6+ month cycles) │
• │ • Enterprise budget ($50K+ sales tech) │
• │ • Need forecasting + analytics depth │
• │ │
• │ WHEN WE WIN: │
• │ • SMB sales team (5-25 reps) │
• │ • Tight budget (< $10K/year sales tech) │
• │ • Need coaching > analytics │
• │ • Fast setup required (< 1 week) │
• │ │
• │ OUR COUNTER-POSITIONING: │
• │ "Gong is built for Salesforce with 500 reps│
• │ We're built for startups with 15 reps. │
• │ Same AI insights, 1/3 the price, │
• │ 10× faster setup." │
• │ │
• │ SALES TALKING POINTS: │
• │ 1. "Save $15K/year vs Gong" │
• │ 2. "Setup in 1 day vs 4 weeks" │
• │ 3. "AI coaching, not just dashboards" │
• │ 4. "Built for Indian SMB sales teams" │
• │ │
• │ OBJECTION HANDLERS: │
• │ "But Gong is the category leader..." │
• │ → "For enterprise. You're not enterprise. │
• │ You need 80% of Gong at 20% of the cost."│
• │ │
• │ "Gong has more features..." │
• │ → "Which features do your 12 reps actually │
• │ use? We focus on coaching that helps reps│
• │ close deals this quarter." │
• └─────────────────────────────────────────────┘
• 12:00-13:00 | Market Sizing (Sales Tech, India Focus)
• BOTTOM-UP APPROACH:
• STEP 1: Define ICP
• B2B SaaS companies
• $1M-10M ARR
• 10-50 employees
• India geography
• Have sales team (5+ people)
• STEP 2: Count Companies (FREE TOOLS)
• □ LinkedIn Sales Navigator (free trial):
• - Filter: "B2B SaaS" + "India" + "10-50 employees"
• - Count: ~2,500 companies
• □ Crunchbase (free tier):
• - Filter: "B2B" + "India" + "$1M-10M funding"
• - Count: ~1,800 companies
• □ Cross-reference: ~2,000 companies (conservative)
• STEP 3: Estimate Deal Size
• □ Research 10 competitor pricing pages
• □ G2 reviews mentioning price
• □ Assume: $5K average annual contract value
• STEP 4: Calculate SAM
• 2,000 companies × $5,000 = $10M SAM (India only)
• VALIDATION:
• Does this feel right for India B2B SaaS sales tech?
• Cross-check: Wingman (Indian competitor) raised $X, implies $Y market
• Sense check with 3 sales leaders: "Does $10M India market sound right?"
• TOP-DOWN VALIDATION:
• Global sales enablement: $5B (Gartner)
• India = ~1.5% of global B2B SaaS market
• $5B × 1.5% × 30% (conversation intel subset) = ~$22M
• Bottom-up $10M vs top-down $22M → Use conservative $10-15M SAM

Output: Series A Sales Tech Deliverable Package

• DELIVERABLE 1: Competitive Landscape (Google Slides)
• Slide 1: Market map (30+ companies plotted)
• Slide 2: 2×2 positioning matrix
• Slide 3: Competitive tiers (Enterprise/Growth/Emerging)
• Slide 4: White space opportunity
• DELIVERABLE 2: Battle Cards (Google Doc)
• Top 5 competitors
• 1-page per competitor
• Sales talking points
• Objection handlers
• When we win/lose
• DELIVERABLE 3: Market Sizing (Spreadsheet)
• TAM-SAM-SOM calculations
• Data sources cited
• Methodology explained
• Conservative + aggressive scenarios
• DELIVERABLE 4: Strategic Recommendations (1-pager)
• Positioning: "Gong for Indian SMBs"
• Pricing: $3K-8K/year (vs Gong $20K+)
• GTM: PLG motion, self-serve, fast setup
• Roadmap: Must-have integrations (Salesforce, HubSpot)
• TIME INVESTED: 12 hours over 3 days
• TOOLS COST: $0 (used free trials)
• OUTPUT QUALITY: Good enough for Series A pitch deck + sales enablement

Sales Tech Specific: Free Research Sources

ESSENTIAL (Use These): □ G2 Sales Software category (18,000+ reviews) □ r/sales on Reddit (140K sales pros sharing) □ Sales Hacker community (tactical insights) □ Revenue Collective (sales leader slack) □ LinkedIn Sales Navigator (15-day trial) SALES-TECH SPECIFIC SOURCES: □ Pavilion community (CRO insights) □ SaaStr community (B2B SaaS) □ Modern Sales Podcast (competitor mentions) □ Gong's blog (learn from category leader) INDIA-SPECIFIC: □ SaaSBoomi community (India B2B SaaS) □ Indian startup funding announcements □ Economic Times tech coverage □ Inc42 (Indian startup news)

Your Reality Check:

• COMPANY PROFILE:
• Size: $10M-30M ARR, 150-500 employees
• Stage: Series B, scaling GTM
• Team: Product Marketing Manager (you) + maybe 1 analyst
• Budget: $1K-5K/month for research tools
• Timeline: 2 weeks for comprehensive analysis
• Stakeholders: VP Marketing, Sales leadership, Product

Why Series B Research is Different:

• SERIES A: Quick battle cards for selling
• SERIES B: Strategic intelligence for scaling
• You need to answer:
• Should we move upmarket? (Mid-market → Enterprise)
• Which features to build? (Product roadmap input)
• Where to invest marketing $? (Channel strategy)
• How to price for growth? (Pricing strategy)
• Which segments to prioritize? (ICP refinement)

Series B Sales Tech Research: 2-Week Sprint

• WEEK 1: Comprehensive Competitive Analysis
• DAY 1-2: Deep Competitive Profiling (8 hours)
• Now you analyze 15-20 competitors (not just 5-10)
• FOR EACH COMPETITOR:
• □ Website messaging (positioning evolution)
• □ Pricing (tiers, changes over time via Wayback Machine)
• □ G2 reviews (read 50+, analyze themes)
• □ Product Hunt launches (reception, comments)
• □ Job postings (where are they investing?)
• □ Leadership LinkedIn (what are execs talking about?)
• □ Funding announcements (investors, use of funds)
• □ Tech stack (BuiltWith: what tools do they use?)
• TOOLS YOU CAN NOW AFFORD:
• ✅ LinkedIn Sales Navigator ($99/mo) - Org charts, decision makers
• ✅ Crunchbase Pro ($29/mo) - Funding, M&A, investors
• ✅ SimilarWeb Starter ($125/mo) - Traffic, digital strategy
• ✅ Ahrefs Lite ($99/mo) - SEO competitive analysis
• Total: ~$350/month (justified by time savings)
• DAY 3-4: Win/Loss Analysis (8 hours)
• Interview 10-15 customers who chose you vs competitors
• SALES TECH WIN/LOSS QUESTIONS:
• "Which other tools did you evaluate?"
• "What almost made you choose [Competitor]?"
• "What feature tipped the scales for us?"
• "How did pricing compare?"
• "How does our team size compare to [Competitor] customers?"
• PATTERN RECOGNITION:
• We win when: [Small teams, fast setup, coaching focus]
• We lose when: [Need forecasting, enterprise security, API access]
• Recommendation: Build [X features] to reduce losses
• DAY 5: Synthesis + Strategic Implications (4 hours)
• OUTPUT:
• Competitive positioning map (updated)
• Feature gap analysis (what to build)
• Pricing benchmarking (how to price new tiers)
• Market trends (where is sales tech moving?)
• WEEK 2: Market Expansion Analysis
• DAY 6-7: Upmarket Feasibility (8 hours)
• RESEARCH QUESTION: Can we compete for mid-market deals (50-200 reps)?
• COMPETITOR ANALYSIS:
• □ What features do mid-market buyers need?
• - From G2: Enterprise reviews mentioning must-haves
• - Security: SOC 2, SSO, role-based access
• - Integrations: Salesforce, Outreach, Gong
• - Analytics: Forecasting, pipeline visibility
• □ How do competitors serve mid-market?
• - Chorus: Acquired by ZoomInfo, bundled strategy
• - Revenue.io: Series B, $X-$Y deal sizes
• - Our positioning: Can we credibly compete?
• GAP ANALYSIS:
• Missing for mid-market:
• ❌ SOC 2 compliance (need 6 months)
• ❌ SSO (need 3 months)
• ❌ Advanced analytics (need 4 months)
• ✅ Salesforce integration (have it)
• ✅ Core conversation intel (have it)
• DECISION:
• Timeline: 12 months to be mid-market ready
• Investment: $X engineering cost
• ROI: Mid-market ACV $15K vs SMB $5K = 3× uplift
• Recommendation: Prioritize mid-market readiness
• DAY 8-9: Geographic Expansion Research (8 hours)
• RESEARCH QUESTION: India → US expansion feasibility
• MARKET SIZING (US):
• LinkedIn Sales Navigator: 15,000 SMB B2B SaaS companies (10-100 employees)
• vs India: 2,000 companies
• 7.5× larger market
• COMPETITIVE LANDSCAPE (US):
• Gong: Dominant in enterprise
• Smaller players: Revenue.io, Chorus (acquired)
• WHITE SPACE: SMB coaching focus (same as India)
• CHALLENGES:
• Price expectations: US buyers pay 2-3× more
• Sales motion: Need US-based sales team
• Brand: Unknown in US (need marketing investment)
• Support: US time zones (need US support team)
• VALIDATION:
• Interview 5 US sales leaders: "Would you buy from India company?"
• Competitor analysis: Wingman (India) struggling in US = cautionary tale
• DAY 10: Final Synthesis (4 hours)
• DELIVERABLE: Strategic Recommendations Deck
• Slide 1: Executive summary
• Slides 2-5: Competitive landscape evolution
• Slides 6-10: Upmarket opportunity + roadmap
• Slides 11-15: Geographic expansion analysis
• Slides 16-20: Product roadmap priorities
• Slides 21-25: Pricing strategy recommendations

Series B Sales Tech: Tool Stack & Budget

MONTHLY TOOL BUDGET: $350-500 TIER 1 (MUST-HAVE): □ LinkedIn Sales Navigator ($99/mo) → WHY: Win/loss research, ICP sizing, org charts → ROI: Saves 10+ hours/month on manual research □ Crunchbase Pro ($29/mo) → WHY: Competitor funding, M&A signals, investor insights → ROI: Early warning on competitive moves □ SimilarWeb Starter ($125/mo) → WHY: Traffic analysis, digital strategy benchmarking → ROI: Understand competitor GTM investment TIER 2 (SHOULD-HAVE): □ Ahrefs Lite ($99/mo) → WHY: SEO competitive analysis, content gap identification → ROI: Inform content strategy, find keyword opportunities TIER 3 (NICE-TO-HAVE): □ Hunter.io ($49/mo) → WHY: Find stakeholder emails for research interviews → ROI: Better win/loss research, customer interviews CANNOT YET JUSTIFY: ❌ Gartner ($30K/year) - Too expensive for Series B ❌ Klue ($15K/year) - Maybe at Series C ❌ ZoomInfo ($15K/year) - Sales Nav sufficient for now

Your Reality Check:

• COMPANY PROFILE:
• Size: $50M+ ARR, 500+ employees
• Stage: Series C/D or preparing for IPO
• Team: Market Intelligence team (2-3 FTE) + you (Director/VP)
• Budget: $50K-150K/year for research
• Timeline: Ongoing monitoring + quarterly deep dives
• Stakeholders: C-suite, Board, Investors

Why Series C+ Research is Different:

• SERIES A: Battle cards for sales
• SERIES B: Strategic positioning for scaling
• SERIES C+: Board-level intelligence + M&A due diligence
• You need to answer:
• M&A targets: Who should we acquire?
• Competitive moats: How defensible are we?
• Market trends: Where is category moving (5-year view)?
• Strategic threats: Who could disrupt us?
• IPO readiness: How do we compare to public comps?

Enterprise Sales Tech Intelligence: Continuous + Quarterly

• ONGOING: Continuous Monitoring
• DAILY MONITORING (Automated):
• □ Klue alerts: Competitor website changes, job postings, news
• □ Google Alerts: Competitor mentions in media
• □ G2 reviews: New reviews for top 10 competitors
• □ Funding announcements: Crunchbase + news sources
• □ Social media: Competitor exec LinkedIn posts
• WHO MONITORS: Intelligence Analyst (dedicated role)
• OUTPUT: Weekly email update to sales + marketing leadership
• WEEKLY SYNTHESIS:
• □ Competitive win/loss trends (from CRM)
• □ Product updates (from competitor release notes)
• □ Marketing campaigns (from ad tracking)
• □ Pricing changes (from public sites + customer reports)
• OUTPUT: Friday competitive update (5-10 min read)
• AUDIENCE: Sales team (battle card updates as needed)
• QUARTERLY: Strategic Deep Dives
• Q1: Competitive Landscape Assessment
• DELIVERABLE: Board-level presentation
• SECTION 1: Market Evolution (10 slides)
• TAM/SAM trends (growing, stable, shrinking?)
• New entrants (who raised funding? acquisitions?)
• Category consolidation (M&A activity)
• Technology shifts (AI, new modalities)
• SECTION 2: Competitive Position (15 slides)
• Market share estimates (us vs top 5)
• Win/loss trends (improving or declining?)
• NPS comparison (us vs competitors via G2)
• Product feature parity matrix
• Pricing position (are we premium or value?)
• SECTION 3: Strategic Recommendations (10 slides)
• Competitive threats to watch
• White space opportunities
• M&A target shortlist (if acquiring)
• Product roadmap priorities (based on competitive gaps)
• GTM strategy adjustments
• DATA SOURCES:
• ✅ Gartner Magic Quadrant (if in category)
• ✅ Forrester Wave (if in category)
• ✅ Custom research (commission primary research)
• ✅ Win/loss analysis (200+ interviews/year)
• ✅ G2 Grid analysis (track quarterly movement)
• Q2: Strategic M&A Analysis
• RESEARCH QUESTION: Who should we acquire? Why?
• ACQUISITION CRITERIA (Sales Tech Example):
• □ Strategic fit: Expand platform (e.g., add sales engagement)
• □ Geographic expansion: Acquire EMEA leader
• □ Talent acquisition: AI/ML team
• □ Customer acquisition: Buy competitor's customer base
• □ Technology: Buy IP/patents
• TARGET IDENTIFICATION:
• 1. Map ecosystem (100+ companies in sales tech)
• 2. Filter by stage (Series A-B, $5M-30M valuation)
• 3. Analyze fit (tech, customers, team, geography)
• 4. Shortlist top 10 targets
• 5. Deep due diligence on top 3
• DUE DILIGENCE (per target):
• □ Financial analysis (ARR, growth, burn)
• □ Customer overlap (would we lose customers?)
• □ Technology assessment (IP, code quality)
• □ Team assessment (would leadership stay?)
• □ Integration complexity (how hard to integrate?)
• OUTPUT: M&A target deck with 3 recommended acquisitions
• Q3: Analyst Relations + Thought Leadership
• GOAL: Influence Gartner/Forrester positioning
• ACTIVITIES:
• □ Analyst briefings (2× quarterly per analyst)
• □ Gartner Magic Quadrant preparation (if applicable)
• □ Forrester Wave participation
• □ Commissioned research (sponsor reports)
• □ Industry conference sponsorships
• RESEARCH OUTPUT:
• □ "State of Sales Tech 2026" report
• □ Benchmark data (share anonymized metrics)
• □ Thought leadership content
• □ Media coverage (Forbes, TechCrunch, etc.)
• WHY THIS MATTERS:
• Gartner/Forrester inclusion = enterprise sales credibility
• Commissioned research = brand building
• Thought leadership = category ownership
• Q4: IPO Readiness / Public Market Comparables
• RESEARCH QUESTION: How do we compare to public companies?
• PUBLIC COMPS (Sales Tech):
• Outreach (if public)
• ZoomInfo (public, owns Chorus)
• Salesforce (Sales Cloud comparable)
• METRICS TO BENCHMARK:
• □ ARR growth rate (us vs public comps)
• □ Gross margin (us vs public comps)
• □ Net revenue retention (us vs public comps)
• □ Sales efficiency (CAC, LTV/CAC ratio)
• □ Market cap / ARR multiple
• OUTPUT:
• "Public company readiness" assessment
• Competitive positioning for investor roadshow
• Analyst day preparation materials

Series C+ Sales Tech: Premium Tool Stack

ANNUAL RESEARCH BUDGET: $75K-150K TIER 1 (ESSENTIAL): □ Gartner ($35K-50K/year) → WHY: Analyst access, Magic Quadrant inclusion → ROI: Enterprise credibility, required for upmarket □ Klue or Crayon ($18K-25K/year) → WHY: Competitive intelligence platform, automated monitoring → ROI: Saves 20+ hours/week for intelligence team □ ZoomInfo ($20K-30K/year) → WHY: Contact data, org charts, buying signals → ROI: Sales enablement, account-based targeting TIER 2 (STRONGLY RECOMMENDED): □ SimilarWeb Enterprise ($25K-40K/year) → WHY: Competitive traffic benchmarking, market share estimates → ROI: Track competitive digital strategy □ Custom Research ($20K-40K/year) → WHY: Primary research, commissioned reports → ROI: Proprietary insights, thought leadership TIER 3 (CONSIDER): □ Forrester ($30K/year) → WHY: Alternative to Gartner, Wave analysis → ROI: If Gartner doesn't cover your category well □ CB Insights ($20K/year) → WHY: Market maps, M&A intelligence, emerging competitors → ROI: Strategic planning, M&A target identification TOTAL: $75K-150K/year

📊 SECTION B: HR TECH COMPETITIVE INTELLIGENCE

When To Use This Section: Your product: HRIS, employee engagement, performance management, recruiting, learning Your competitors: Workday, BambooHR, Culture Amp, Lattice, Lever, Greenhouse Your buyers: HR leaders, CHROs, People Ops Your go-to-market: Typically sales-led (HR is relationship-driven)

Your Reality Check:

• COMPANY PROFILE:
• Size: $2M-8M ARR, 20-80 employees
• Stage: Series A, early PMF
• You: Founder (often ex-HR tech or HRBP background)
• Budget: $0-300/month
• Timeline: 1 week for competitive positioning

The HR Tech Competitive Landscape (Different from Sales Tech):

• Key Differences vs Sales Tech:
• SALES TECH:
• Buyers: Sales leaders (aggressive, data-driven, ROI-focused)
• Buying cycle: 1-3 months (fast)
• Decision: Individual or small team
• Risk tolerance: High (experiment with tools)
• HR TECH:
• Buyers: HR leaders (relationship-driven, risk-averse, people-focused)
• Buying cycle: 3-9 months (slower, more deliberate)
• Decision: Committee (HR + Finance + Legal + IT)
• Risk tolerance: LOW (can't screw up people data)
• This Changes Everything About Competitive Research:
• FOR SALES TECH:
• ✅ Aggressive competitive positioning okay ("We're 10× cheaper than Gong")
• ✅ Fast iteration, experiment
• ✅ Attack incumbents publicly
• FOR HR TECH:
• ❌ NEVER attack competitors (HR community is small, reputation matters)
• ❌ Conservative positioning only
• ❌ Professional tone mandatory (HR is risk-averse)
• ✅ Emphasize: Trust, security, compliance, relationships

Series A HR Tech Research: Conservative Approach

• DAY 1-2: Competitive Landscape (But Make It Professional)
• 09:00-12:00 | Map HR Tech Ecosystem
• HR Tech has sub-categories (pick yours):
• □ HRIS/Core HR: Workday, BambooHR, Rippling, Deel
• □ Employee Engagement: Culture Amp, Lattice, 15Five
• □ Performance Management: Lattice, Betterworks, 7Geese
• □ Recruiting: Lever, Greenhouse, Ashby
• □ Learning: Degreed, EdCast, Docebo
• □ Comp & Benefits: Pave, Figures, Carta (equity)
• INDIA-SPECIFIC HR TECH:
• □ Darwinbox (India HRIS leader)
• □ Keka (SMB HRIS)
• □ EngageWith (employee engagement)
• □ SumHR (payroll + HR)
• RESEARCH SOURCES (HR-Specific):
• □ SHRM (Society for HR Management) - not for competitive intel, but industry trends
• □ HR Brew newsletter (industry news)
• □ HR Tech Conference exhibitor list
• □ G2 HR Software categories
• 12:00-13:00 | Pricing Research (HR Tech Nuance)
• HR Tech pricing is DIFFERENT from Sales Tech:
• SALES TECH: Per-seat, usage-based, transparent
• HR TECH: Per-employee, bundled, often hidden
• PRICING MODELS:
• BambooHR: $X/employee/month (SMB)
• Workday: Enterprise-only, no public pricing
• Culture Amp: $3-7/employee/month (from reviews)
• Lattice: $4-11/employee/month
• YOUR POSITIONING:
• "Affordable for SMBs" (if BambooHR is $6/employee, you're $3-4)
• NOT: "10× cheaper" (too aggressive for HR)
• DAY 3-4: Feature Analysis (HR Compliance is Critical)
• HR TECH MUST-HAVES (Regulatory):
• FOR INDIA MARKET:
• ✅ PF/ESI compliance (mandatory)
• ✅ Gratuity calculations
• ✅ Leave policy (Indian labor law)
• ✅ Payroll (statutory deductions)
• FOR US MARKET:
• ✅ EEOC compliance (equal employment)
• ✅ ADA compliance (disability)
• ✅ FMLA tracking (family medical leave)
• ✅ 401K integration
• FOR EU MARKET:
• ✅ GDPR compliance (data privacy)
• ✅ Works council integration
• ✅ Country-specific labor laws
• COMPETITOR ANALYSIS (Compliance Focus):
• □ Which markets does competitor support?
• □ What compliance features do they have?
• □ Do they have SOC 2, ISO 27001, GDPR certifications?
• □ What do reviews say about compliance failures?
• THIS IS DIFFERENT FROM SALES TECH:
• Sales Tech: Compliance nice-to-have
• HR Tech: Compliance MANDATORY (you lose deals without it)
• DAY 5: Positioning (Conservative, Professional)
• HR TECH POSITIONING RULES:
• ❌ DON'T SAY:
• "We're crushing competitors"
• "Workday sucks"
• "10× better than X"
• ✅ DO SAY:
• "Trusted by 500+ HR leaders"
• "Built specifically for mid-market"
• "Compliant, secure, easy to use"
• "Recommended by SHRM members"
• POSITIONING FRAMEWORK (HR Tech):
• Emphasize: Trust, security, compliance
• Tone: Professional, warm, supportive
• Avoid: Aggressive, sales-y, attacking
• EXAMPLE POSITIONING:
• "Culture Amp for Mid-Market Companies
• Affordable, compliant, built for HR leaders who care about their people."
• Not: "Culture Amp is too expensive. We're cheaper."

HR Tech Specific: Conservative Battle Cards

┌────────────────────────────────────────────┐ │ VS. CULTURE AMP (Category Leader) │ ├────────────────────────────────────────────┤ │ WHEN TO POSITION AGAINST THEM: │ │ • Mid-market companies (200-1000 employees)│ │ • Budget-conscious HR teams │ │ • Need engagement + performance │ │ │ │ NEVER SAY: │ │ ❌ "Culture Amp is too expensive" │ │ ❌ "We're better than Culture Amp" │ │ ❌ "Culture Amp has bad customer support" │ │ │ │ INSTEAD SAY: │ │ ✅ "Culture Amp is excellent for enterprise│ │ We're purpose-built for mid-market." │ │ ✅ "We focus on X (performance management) │ │ Culture Amp is broader (engagement)." │ │ ✅ "Mid-market companies love our pricing │ │ and hands-on support." │ │ │ │ RESPECTFUL DIFFERENTIATION: │ │ • We: Mid-market focus ($200-1K employees) │ │ • Them: Enterprise focus (1K+ employees) │ │ • We: Hands-on support included │ │ • Them: Self-serve + paid support tiers │ │ • We: $3-4/employee/month │ │ • Them: $5-8/employee/month │ │ │ │ WHY RESPECT MATTERS IN HR TECH: │ │ - HR community is small (everyone knows everyone)│ │ - Today's competitor could be tomorrow's │ │ integration partner or acquisition target│ │ - HR buyers HATE vendor trash-talk │ │ - Culture Amp might refer customers to you │ │ for mid-market deals they don't want │ └────────────────────────────────────────────┘

Your Reality Check:

• COMPANY PROFILE:
• Size: $12M-40M ARR, 200-600 employees
• Stage: Series B, moving upmarket or expanding modules
• You: Director of Product Marketing or PMM
• Budget: $2K-6K/month for research
• Goal: Should we move upmarket? Which features to build?

Series B HR Tech: Different Questions Than Sales Tech

SALES TECH @ SERIES B: "Can we compete with Gong for mid-market?" "Should we expand to US?" HR TECH @ SERIES B: "Should we add performance management to engagement?" "Can we serve 1,000+ employee companies?" "Do we need GDPR compliance for EU expansion?" "Should we build AI features or partner?"

Week 1-2: Comprehensive HR Tech Competitive Analysis

• RESEARCH FOCUS AREAS:
• 1. MODULE EXPANSION ANALYSIS (HR Tech Specific)
• HR Tech companies expand via modules:
• Start: Single point solution (e.g., just engagement)
• Expand: Add adjacent modules (engagement → performance)
• Platform: Full suite (HRIS → engagement → performance → learning)
• COMPETITOR EVOLUTION EXAMPLES:
• Lattice: Started performance → added engagement → added goals
• Culture Amp: Started engagement → added performance
• BambooHR: Started HRIS → added performance → added hiring
• RESEARCH QUESTIONS:
• □ Which competitors started where we started?
• □ What modules did they add? In what order?
• □ How long did expansion take?
• □ What was customer reception? (from reviews)
• □ Did they build or acquire modules?
• 2. UPMARKET READINESS ANALYSIS (HR Compliance Focus)
• TO SERVE 1,000+ EMPLOYEE COMPANIES (Enterprise):
• MUST-HAVE FEATURES:
• □ SSO (Okta, Azure AD) - Security team requirement
• □ SCIM (automated user provisioning)
• □ SOC 2 Type II compliance (InfoSec requirement)
• □ Custom reporting (HRIS integrations)
• □ API access (IT team requirement)
• □ Role-based access controls (complex org structures)
• MUST-HAVE COMPLIANCE (US Enterprise):
• □ EEOC reporting (equal employment opportunity)
• □ ADA compliance (Americans with Disabilities Act)
• □ OFCCP compliance (if government contractors)
• □ State-specific labor laws (CA, NY, etc.)
• MUST-HAVE COMPLIANCE (India Enterprise):
• □ ISO 27001 certification
• □ PF/ESI at scale (10,000+ employees)
• □ Multi-state operations (different state labor laws)
• □ Large enterprise payroll complexity
• COMPETITOR RESEARCH:
• □ When did Culture Amp add enterprise features?
• □ What compliance did Lattice need for Fortune 500?
• □ How long did upmarket move take?
• TIMELINE ESTIMATE:
• SSO/SCIM: 3-4 months engineering
• SOC 2: 6-12 months (audit process)
• Enterprise features: 6-9 months
• TOTAL: 12-18 months to be enterprise-ready
• 3. WIN/LOSS ANALYSIS (HR Tech Nuances)
• Interview 20 customers (10 won, 10 lost)
• HR TECH WIN/LOSS QUESTIONS:
• "Which other vendors did you evaluate?"
• "What was your decision-making process?" (committee? timeframe?)
• "Who was involved in decision?" (HR + Finance + IT + Legal?)
• "What almost made you choose [Competitor]?"
• "How important was compliance/security?" (1-10 scale)
• "How important was hands-on support?" (1-10 scale)
• "What's your relationship with vendor?" (transactional or partnership?)
• PATTERN RECOGNITION (HR Tech Specific):
• WE WIN WHEN:
• ✅ Mid-market (200-800 employees)
• ✅ Budget-conscious ($3-5/employee budget)
• ✅ Want hands-on support (not self-serve)
• ✅ HR team is small (1-3 people)
• ✅ Need fast implementation (<6 weeks)
• WE LOSE WHEN:
• ❌ Enterprise (1,000+ employees) - lack SSO, SCIM
• ❌ Global (need GDPR, EU compliance)
• ❌ Complex hierarchy (role-based access insufficient)
• ❌ IT-led buying (they want API-first, we're UI-first)
• ❌ Want "platform" (we're point solution)
• STRATEGIC IMPLICATIONS:
• Build SSO/SCIM for enterprise (6-month roadmap)
• Add GDPR compliance for EU (9-month roadmap)
• Partner with HRIS vendors (can't build full platform)
• Double down on mid-market (200-800 employees)
• Emphasize customer success (differentiation)

Series B HR Tech: Tool Stack

MONTHLY BUDGET: $300-600 TIER 1 (ESSENTIAL): □ LinkedIn Sales Navigator ($99/mo) → WHY: HR leader org charts, decision maker identification → HR TECH SPECIFIC: Track CHRO moves, HR team expansions □ Crunchbase Pro ($29/mo) → WHY: HR Tech funding landscape, M&A activity → HR TECH SPECIFIC: Watch consolidation (lots of M&A in HR Tech) TIER 2 (SHOULD-HAVE): □ G2 Track ($150/mo) → WHY: Monitor competitor reviews, track review sentiment → HR TECH SPECIFIC: HR buyers rely heavily on G2 (conservative buyers) SKIP FOR NOW: ❌ SimilarWeb ($125/mo) - Less relevant for HR Tech (not PLG) ❌ Ahrefs ($99/mo) - HR Tech = sales-led, SEO less critical TOTAL: $280-350/month (conservative for HR Tech)

Your Reality Check:

• COMPANY PROFILE:
• Size: $50M+ ARR, 800+ employees
• Stage: Series C/D, preparing for IPO or acquisition
• Team: Competitive Intelligence (2 FTE) + Compliance (2 FTE)
• Budget: $100K-200K/year (compliance mandates higher spend)
• Stakeholders: Board, Legal, Compliance, C-suite

Why HR Tech Enterprise Research is Unique:

• SALES TECH ENTERPRISE RESEARCH:
• Focus: Market position, M&A targets, feature parity
• HR TECH ENTERPRISE RESEARCH:
• Focus: Regulatory compliance, audit readiness, data security
• + all the Sales Tech stuff
• ADDITIONAL COMPLEXITY:
• SOC 2 Type II mandatory (can't sell enterprise without it)
• GDPR if EU (€20M fines for violations)
• HIPAA if health benefits (healthcare data)
• ISO 27001 for global enterprise
• Legal review of ALL competitive claims

Quarterly Research Cadence (HR Tech Specific)

• Q1: Compliance Competitive Benchmark
• RESEARCH QUESTION: How do we compare on compliance/security?
• COMPETITOR COMPLIANCE AUDIT:
• For top 10 competitors, research:
• □ SOC 2 Type II: Do they have it? (check website)
• □ ISO 27001: Certified? (check trust center)
• □ GDPR: Do they serve EU? Compliant?
• □ HIPAA: Do they handle health data?
• □ State-specific: CA CCPA, NY SHIELD Act?
• COMPLIANCE GAP ANALYSIS:
• Workday: SOC 2, ISO 27001, GDPR, HIPAA ✅✅✅✅
• BambooHR: SOC 2, GDPR ✅✅
• Culture Amp: SOC 2, GDPR ✅✅
• Us: SOC 2, GDPR ✅✅
• Gap: Need ISO 27001 for global enterprise
• INVESTMENT NEEDED:
• ISO 27001 certification: $50K-100K + 9-12 months
• HIPAA compliance: $30K-60K + 6 months
• Ongoing compliance: $200K/year (team + audits)
• BOARD DELIVERABLE:
• "Compliance Competitive Analysis & Investment Recommendation"
• Q2: M&A Target Analysis (HR Tech Module Strategy)
• HR TECH M&A IS DIFFERENT:
• SALES TECH M&A:
• Acquire competitors for market share
• Acquire complementary tech (e.g., Gong buying Forecast)
• HR TECH M&A:
• Acquire modules to become platform
• Example: UKG acquired Ultimate + Kronos
• Example: iCIMS acquired TextRecruit, Jobvite
• ACQUISITION THESIS:
• We're strong in: Employee Engagement
• Missing modules: Performance Management, Learning, Recruiting
• TARGET IDENTIFICATION:
• □ Performance Management startups (Series A-B)
• - Small Improvements
• - Reflektive (acquired by Lumin)
• - 7Geese (acquired by Paycor)
• □ Learning platforms (Series A-B)
• - EdApp
• - TalentLMS
• - [Smaller players]
• DUE DILIGENCE (HR Tech Specific):
• □ Customer overlap: Would acquisition cause churn?
• □ Data portability: Can we migrate customer data?
• □ Compliance transfer: Do their certifications transfer?
• □ HR community perception: Would acquisition be well-received?
• VALUATION BENCHMARKS:
• HR Tech M&A multiples: 8-15× ARR (higher than Sales Tech)
• Why: Sticky (hard to switch), compliance moats, relationship-driven
• Q3: Analyst Relations & Industry Positioning
• HR TECH ANALYSTS (Different from Sales Tech):
• PRIMARY ANALYSTS:
• □ Gartner (HCM Magic Quadrant)
• □ Forrester (Employee Experience Wave)
• □ Nucleus Research (ROI-focused)
• □ Bersin/Josh Bersin (HR thought leader, not traditional analyst)
• ANALYST RELATIONS STRATEGY:
• Quarterly briefings (share roadmap, customer wins)
• Annual Gartner MQ participation (if eligible)
• Sponsor research: "State of Employee Engagement 2026"
• Speaking: HR Tech Conference, Josh Bersin events
• CERTIFICATION REQUIREMENTS (HR Tech):
• SHRM Preferred Provider (HR credibility)
• Brandon Hall Excellence Awards (industry recognition)
• Great Place to Work Certified (practice what you preach)
• WHY THIS MATTERS IN HR TECH:
• HR buyers trust:
• 1. Peer recommendations (other CHROs)
• 2. Analyst reports (Gartner, Forrester)
• 3. Industry associations (SHRM)
• 4. Awards/recognition
• Sales Tech buyers trust:
• 1. Product trials (test it yourself)
• 2. Peer reviews (G2)
• 3. ROI data (does it work?)
• Q4: IPO Readiness / Market Positioning
• PUBLIC HR TECH COMPARABLES:
• PUBLIC COMPANIES:
• Workday (HCM platform, $60B+ market cap)
• UKG (private equity, not pure public comp)
• Paycom, Paylocity (payroll + HR)
• ADP (payroll giant, legacy)
• RECENT IPOs:
• [Research recent HR Tech IPOs]
• BENCHMARKING METRICS:
• □ ARR growth (us vs public comps)
• □ Net revenue retention (target: >110%)
• □ Gross margin (target: >75% for SaaS)
• □ Operating margin (path to profitability)
• □ Customer retention (critical in HR Tech)
• HR TECH SPECIFIC METRICS:
• □ Employees under management (how many employees use your platform)
• □ Customer company size (SMB vs Enterprise mix)
• □ Module adoption (single vs multi-module customers)
• □ CSAT/NPS (relationship-driven, loyalty matters)
• INVESTOR NARRATIVE:
• "Employee Engagement Platform for Mid-Market
• Trusted by 800 companies, 250,000 employees
• Net retention 118%, Rule of 40 compliant
• Path to profitability in 18 months"

HR Tech Series C+ Tool Stack

ANNUAL BUDGET: $120K-180K MUST-HAVE: □ Gartner ($40K-60K/year) → REQUIRED for HR Tech (buyers check Gartner) □ Compliance tools ($30K-50K/year) → Vanta (SOC 2 automation) → Drata (compliance monitoring) → OneTrust (privacy management) □ Klue or Crayon ($20K-30K/year) → Competitive monitoring □ Custom Research ($30K-50K/year) → Commission "State of HR Tech" reports → SHRM partnership research INDUSTRY-SPECIFIC: □ SHRM Membership + Conference ($5K-10K/year) → HR community intelligence, networking □ Josh Bersin Academy ($15K/year) → HR thought leadership, industry insights TOTAL: $140K-200K/year

📊 SECTION C: FINTECH COMPETITIVE INTELLIGENCE

When To Use This Section: Your product: Payments, expense management, corporate cards, payroll, neo-banking Your competitors: Razorpay, Paytm, PhonePe (India), Stripe, Brex, Ramp (US) Your buyers: CFOs, Finance leaders, Controllers Your go-to-market: Sales-led (finance is risk-averse) CRITICAL: Highly regulated industry, compliance-first

Your Reality Check:

• COMPANY PROFILE:
• Size: $2M-8M ARR, 20-100 employees
• Stage: Series A
• You: Founder (often ex-finance/banking background)
• Budget: $0-500/month (compliance eats budget)
• Regulatory: RBI licensed or applying for license (India)

FINTECH IS FUNDAMENTALLY DIFFERENT

Critical Differences from Sales Tech / HR Tech: SALES TECH: ✅ Can be aggressive ✅ Fast experimentation ✅ Attack competitors ✅ Share metrics openly Risk: Low (worst case: lose customers) HR TECH: ⚠️ Must be professional ⚠️ Cannot attack competitors ⚠️ Relationship-driven Risk: Medium (people data sensitive) FINTECH: 🔴 MUST be conservative 🔴 NEVER attack competitors (could trigger regulatory review) 🔴 CANNOT share metrics without legal approval 🔴 CANNOT make unverified claims (financial advertising rules) Risk: EXTREME (regulatory fines, license revocation, criminal liability)

Fintech Regulatory Landscape (India)

• Before ANY Competitive Research, Understand:
• INDIA FINTECH REGULATIONS:
• RBI (Reserve Bank of India):
• □ Payment Aggregator License (if processing payments)
• □ NBFC License (if lending)
• □ Prepaid Payment Instrument (PPI) License (wallets)
• □ Account Aggregator License (financial data)
• Compliance Requirements:
• □ KYC (Know Your Customer) - mandatory
• □ AML (Anti-Money Laundering) - mandatory
• □ Data Localization (store data in India)
• □ RBI reporting (monthly/quarterly)
• CONSEQUENCES OF NON-COMPLIANCE:
• License suspension or revocation
• ₹1 crore+ fines
• Criminal charges (directors liable)
• Cannot process transactions (business shutdown)
• THIS CHANGES COMPETITIVE RESEARCH:
• Cannot share user transaction data
• Cannot make unverified ROI claims
• Cannot criticize competitors publicly
• Legal review MANDATORY for all competitive claims

Series A Fintech Research: Ultra-Conservative

• Week 1: Competitive Landscape (Regulatory Lens)
• DAY 1-2: License & Compliance Mapping
• FOR EACH COMPETITOR:
• □ What licenses do they have? (check RBI website)
• □ Are they compliant? (any RBI actions against them?)
• □ How long did licensing take? (timeline for us)
• □ What compliance do they highlight? (trust signals)
• INDIA FINTECH COMPETITORS:
• EXPENSE MANAGEMENT:
• Happay (CRED acquired, ₹180M exit)
• Zoho Expense (Zoho suite)
• Fyle (Series B, expense automation)
• CORPORATE CARDS:
• EnKash (RBI-licensed)
• Volopay (Singapore-based, India operations)
• Pazcare (expense + benefits)
• PAYMENT PROCESSING:
• Razorpay (unicorn, payment gateway)
• Cashfree (payment aggregator)
• PayU (Naspers-owned)
• COMPLIANCE COMPETITIVE INTEL:
• Company | RBI License | SOC 2 | ISO 27001 | PCI DSS | Data Localization
• Razorpay | ✅ PA | ✅ | ✅ | ✅ | ✅
• Happay | ✅ | ✅ | ✅ | ✅ | ✅
• [Us] | ⏳ Applying | ❌ | ❌ | ⏳ | ✅
• GAP: Need SOC 2, ISO 27001 before enterprise sales
• Timeline: 12-18 months for full compliance stack
• DAY 3-4: Conservative Pricing Research
• FINTECH PRICING CHALLENGES:
• Often bundled (hard to compare)
• Enterprise pricing hidden
• Regulatory fees not disclosed
• Transaction-based + subscription hybrid
• RESEARCH SOURCES (Fintech-Safe):
• □ Public websites (pricing pages if available)
• □ G2 reviews mentioning price (user-reported, safe to cite)
• □ Press releases (funding announcements mention ACV)
• □ Your own customer interviews (first-party data, compliant)
• WHAT YOU CANNOT DO:
• ❌ Scrape competitor pricing from private dashboards
• ❌ Pose as customer to get pricing (fraud)
• ❌ Use competitor's confidential data
• PRICING BENCHMARKS (India Expense Management):
• Happay: ₹150-300/employee/month (from reviews)
• Zoho: ₹100-200/employee/month
• Fyle: ₹200-400/employee/month
• YOUR POSITIONING:
• "Compliant expense management for Indian SMBs
• ₹150-250/employee/month"
• NOT: "50% cheaper than Happay" (unless verified and legal-approved)
• DAY 5: Positioning (Risk-Averse, Compliance-First)
• FINTECH POSITIONING PRINCIPLES:
• ✅ DO EMPHASIZE:
• "RBI-compliant" (if licensed)
• "Bank-grade security"
• "SOC 2 certified" (if have it)
• "Trusted by [X] companies"
• "Backed by [reputable investors]"
• ❌ NEVER SAY:
• "Better than [Competitor]"
• "Competitor X has security issues"
• "Fastest-growing fintech" (unless verified by 3rd party)
• "Save [X]%" (unless calculated, disclosed methodology)
• EXAMPLE POSITIONING:
• "RBI-Compliant Expense Management for Indian SMBs
• Bank-grade security, SOC 2 certified, trusted by 500+ companies"
• CONSERVATIVE BATTLE CARD:
• ┌─────────────────────────────────────────────┐
• │ VS. HAPPAY (CRED-Acquired Incumbent) │
• ├─────────────────────────────────────────────┤
• │ WHEN THEY COME UP: │
• │ • Enterprise deals (their strength) │
• │ • CRED ecosystem (card + expense bundled) │
• │ │
• │ RESPECTFUL POSITIONING: │
• │ ✅ "Happay is excellent for enterprise │
• │ We focus on SMB (50-500 employees)" │
• │ ✅ "Both of us are RBI-compliant │
• │ We offer more flexible pricing for SMB" │
• │ ✅ "Great product with strong backing │
• │ We provide hands-on support for growing │
• │ finance teams" │
• │ │
• │ NEVER SAY (Legal Risk): │
• │ ❌ "Happay is too expensive" │
• │ ❌ "Happay has compliance issues" │
• │ ❌ "We're more secure than Happay" │
• │ ❌ "Customers switch from Happay to us" │
• │ (unless you have written testimonials) │
• │ │
• │ WHY EXTREME CAUTION: │
• │ - Fintech community is tiny in India │
• │ - CRED is well-connected (Kunal Shah) │
• │ - Negative positioning could trigger legal │
• │ - RBI scrutiny if public mudslinging │
• │ - Potential partnership/acquisition target │
• └─────────────────────────────────────────────┘

Fintech Series A: Compliance-First Tool Stack

MONTHLY BUDGET: $0-300 (Compliance Budget is Separate) RESEARCH TOOLS: □ Google Search (free) □ LinkedIn (free) □ RBI website (free, license verification) □ G2 Fintech categories (free tier) COMPLIANCE TOOLS (Separate Budget): □ Vanta or Drata ($3K-5K/month) - SOC 2 automation □ Legal counsel ($5K-10K/month retainer) - Regulatory □ Compliance officer (hire, $50K-80K/year) NOTE: Fintech compliance costs >> research costs Early-stage fintech spends more on compliance than marketing

Your Reality Check:

• COMPANY PROFILE:
• Size: $15M-40M ARR, 200-500 employees
• Stage: Series B, expanding product lines or geography
• You: Product Marketing Manager or Strategy Lead
• Budget: $3K-8K/month for research
• Compliance: Fully licensed, SOC 2, considering ISO 27001

Series B Fintech Research Questions:

TYPICAL SERIES B QUESTIONS: SALES TECH @ SERIES B: "Should we move upmarket?" "Should we expand to US?" HR TECH @ SERIES B: "Should we add performance module?" "Can we serve enterprise?" FINTECH @ SERIES B: "Should we apply for lending license?" (NBFC) "Can we expand to UAE/Singapore?" (different regulators) "Should we launch corporate cards?" (new product = new compliance) "Can we partner with banks?" (co-branding, regulatory implications)

Week 1-2: Regulatory Expansion Analysis

RESEARCH FOCUS: New Product Line = New Regulations SCENARIO: We do expense management, want to add corporate cards COMPLIANCE RESEARCH: □ What additional licenses needed? (RBI: PPI license) □ What do competitors have? (Check EnKash, Volopay licenses) □ Timeline to get license? (12-18 months for PPI) □ Compliance costs? (₹50L-1Cr for license + ongoing) □ Risk? (if license denied, wasted investment) COMPETITOR LICENSE MAPPING: Company | Expense Mgmt | Corporate Cards | Lending | Payroll Happay | ✅ | ✅ (via CRED) | ❌ | ❌ EnKash | ✅ | ✅ RBI PPI | ❌ | ❌ Volopay | ✅ | ✅ Singapore | ❌ | ❌ [Us] | ✅ | ⏳ Want | ❌ | ❌ STRATEGIC ANALYSIS: Option 1: Build in-house (12-18 months, ₹1-2Cr investment) Option 2: Partner with licensed issuer (faster, lower risk) Option 3: Acquire competitor with license (expensive, fast) RECOMMENDATION: Partner while applying for license (hybrid approach)

Geographic Expansion: India → UAE/Singapore

• RESEARCH QUESTION: Should we expand beyond India?
• REGULATORY COMPARISON:
• INDIA (RBI):
• License types: PA, PPI, NBFC, AA
• Timeline: 12-24 months per license
• Difficulty: High (stringent requirements)
• Data: Must be localized in India
• Language: English + local languages
• UAE (DFSA, ADGM):
• License: Payment Services License
• Timeline: 6-12 months
• Difficulty: Medium (easier than India)
• Data: Can be in UAE or secure cloud
• Language: English + Arabic
• SINGAPORE (MAS):
• License: Payment Services License
• Timeline: 6-9 months
• Difficulty: Medium-Low (clear process)
• Data: Can be anywhere (cloud-friendly)
• Language: English
• COMPETITOR EXPANSION PATTERNS:
• Razorpay:
• India (2014) → Malaysia (2019) → Not very successful outside India
• Cashfree:
• India-focused, minimal international
• Volopay:
• Singapore-first → India expansion
• Dual regulatory compliance
• MARKET SIZING (UAE Corporate Spend):
• Bottom-up:
• SMBs in UAE: ~50,000 companies
• Corporate card TAM: $200-300M
• vs India: $1.5-2B (5-7× larger)
• RECOMMENDATION:
• India market still underpenetrated
• Focus on India until $50M ARR, then expand
• Exception: If UAE investor insists or strategic partnership

Your Reality Check:

• COMPANY PROFILE:
• Size: $60M+ ARR, 600+ employees
• Stage: Series C/D, IPO-track
• Team: Regulatory Affairs (5+ FTE), Strategy (3+ FTE)
• Budget: $150K-300K/year (heavy compliance)
• Stakeholders: Board, RBI, Investors, Legal

Series C+ Fintech: Regulatory-First Intelligence

• QUARTERLY CADENCE:
• Q1: Regulatory Landscape Monitoring
• RBI policy changes (monthly review)
• Competitor license applications (public RBI data)
• Global fintech regulations (learnings from US, EU, Singapore)
• Compliance incidents (any RBI actions against competitors?)
• Q2: M&A / Partnership Analysis
• Acquisition targets (licensed competitors)
• Bank partnerships (co-branding opportunities)
• Strategic investors (financial institutions)
• Q3: IPO Readiness / Public Market Comparables
• Public fintech benchmarking (Paytm, PolicyBazaar)
• Compliance audit (pre-IPO regulatory review)
• Investor narrative (growth + compliance story)
• Q4: Strategic Planning / Board Reporting
• Market position vs competitors
• Regulatory moat analysis
• 5-year strategic roadmap

Fintech M&A: License Arbitrage

• FINTECH M&A STRATEGY:
• ACQUISITION THESIS:
• "Buy licenses, not just customers"
• EXAMPLE:
• Target: Small expense management company
• Value: Not their $2M ARR
• Value: Their RBI Payment Aggregator license (saved us 18 months)
• TARGET CRITERIA:
• □ RBI-licensed (PA, PPI, NBFC, or AA)
• □ Compliant (no regulatory actions)
• □ Reasonable valuation (5-10× ARR)
• □ Customer base transferable
• □ Technology integrable
• DUE DILIGENCE (Fintech-Specific):
• □ License transfer feasibility (RBI approval required)
• □ Compliance history (any RBI warnings?)
• □ Data security audit (SOC 2, ISO 27001)
• □ Customer data migration (regulatory compliant?)
• □ Integration complexity (core banking system compatibility)
• RECENT INDIA FINTECH M&A:
• CRED acquired Happay ($180M) - strategic fit
• Pine Labs acquiring Qfix - licensing play
• BillDesk acquired by PayU (not completed - regulatory)

Fintech Series C+ Tool Stack

ANNUAL BUDGET: $180K-300K REGULATORY INTELLIGENCE: □ Legal counsel retainer ($150K-250K/year) → Regulatory monitoring, compliance advice □ Compliance platform ($40K-60K/year) → Vanta, Drata, OneTrust □ Industry associations ($10K-20K/year) → IAMAI (Internet and Mobile Association of India) → NPCI participation COMPETITIVE INTELLIGENCE: □ Crunchbase Pro ($29/mo × 12 = $348/year) □ LinkedIn Sales Navigator ($99/mo × 12 = $1,188/year) □ Custom research ($30K-50K/year) → Commission "State of Indian Fintech" reports TOTAL: $230K-340K/year (Note: Fintech invests more in compliance than competitive intel)

📊 SECTION D: OPERATIONS TECH COMPETITIVE INTELLIGENCE

When To Use This Section: Your product: Retail execution, logistics, field force automation, route optimization Your competitors: FieldAssist, Bizom, Ivy Mobility (India), Repsly (US) Your buyers: Sales leaders, Operations leaders at CPG/FMCG companies Your go-to-market: Enterprise sales (long cycles, pilots) B2B2C Complexity: You serve businesses who serve consumers

Your Reality Check:

• COMPANY PROFILE:
• Size: $1M-5M ARR, 15-60 employees
• Stage: Series A
• You: Founder (ex-CPG/FMCG or SaaS)
• Market: India retail/distribution (Kirana stores, distributors)
• Budget: $0-300/month

Operations Tech is DIFFERENT from Sales/HR/Fintech:

• SALES TECH:
• Buyer: Sales leader at B2B SaaS company
• User: SDRs, AEs at SaaS company
• Use case: Internal sales productivity
• HR TECH:
• Buyer: CHRO at any company
• User: HR team + all employees
• Use case: Internal employee management
• FINTECH:
• Buyer: CFO at any company
• User: Finance team + employees
• Use case: Internal financial operations
• OPERATIONS TECH (Retail Execution):
• Buyer: Sales/Ops leader at CPG/FMCG company
• User: Field sales reps visiting retail stores
• Use case: Manage distributor → retailer → consumer flow
• COMPLEXITY: B2B2B2C (You → CPG → Distributor → Retailer → Consumer)

India Retail Landscape (Critical Context):

• MARKET STRUCTURE:
• Modern Trade (Organized Retail):
• Big Bazaar, Reliance Retail, DMart, Walmart-owned stores
• ~10% of market
• Sophisticated (already use some tech)
• General Trade (Traditional Retail):
• Kirana stores (12M+ stores in India)
• ~90% of market
• Unsophisticated (paper-based, WhatsApp)
• Distribution Network:
• CPG companies (HUL, ITC, Nestle, Dabur)
• ↓
• Distributors (C&F agents, stockists)
• ↓
• Retailers (kirana stores)
• ↓
• Consumers
• YOUR PRODUCT SERVES:
• CPG field teams visiting distributors and retailers
• Goal: Ensure product availability, pricing, promotions, merchandising

Series A Operations Tech Research: 5-Day Sprint

• DAY 1-2: Competitive Landscape (India-Specific)
• INDIA OPERATIONS TECH COMPETITORS:
• RETAIL EXECUTION:
• FieldAssist (market leader, Series B)
• Bizom (Accel-backed, strong in South India)
• Ivy Mobility (Tiger Global-backed)
• Mobile Force (niche player)
• LOGISTICS/DISTRIBUTION:
• Locus (route optimization)
• LogiNext (delivery management)
• FarEye (logistics visibility)
• ADJACENT (Distributors):
• Khatabook, OkCredit (distributor accounting)
• Udaan (B2B marketplace for retailers)
• COMPETITIVE MAPPING:
• Company | Focus | Geography | Stage | Customers
• FieldAssist | Retail execution | Pan-India | Series B | HUL, ITC, Dabur
• Bizom | Retail execution | South India | Series B | Nestle, Coca-Cola
• Ivy | Retail execution | Pan-India | Series B | Britannia, Godrej
• [Us] | [Your focus] | [Region] | Series A | [Your customers]
• DAY 3: Customer Type Analysis (Critical for Operations Tech)
• OPERATIONS TECH BUYERS (Complex):
• TIER 1: MNC CPG (Unilever, P&G, Nestle)
• Deal size: ₹50L-2Cr annually
• Sales cycle: 9-18 months (pilots + procurement)
• Decision: Centralized (global/India HQ)
• Tech sophistication: High (RFP process, integrations)
• Reference customers: Required (won't be first)
• TIER 2: Large Indian CPG (Dabur, Emami, Parle)
• Deal size: ₹20L-80L annually
• Sales cycle: 6-12 months (pilots)
• Decision: India leadership
• Tech sophistication: Medium
• Price sensitivity: Higher than MNC
• TIER 3: Mid-Market CPG (Regional brands)
• Deal size: ₹5L-20L annually
• Sales cycle: 3-6 months
• Decision: Founder/promoter
• Tech sophistication: Low
• Price sensitivity: Very high
• YOUR POSITIONING (Series A):
• Focus on Tier 2-3 (Indian CPG, regional brands)
• Tier 1 requires references you don't have yet
• Build case studies, then move upmarket to Tier 1
• DAY 4-5: Feature Analysis (Ops Tech Specific)
• RETAIL EXECUTION CORE FEATURES:
• MUST-HAVE (Table Stakes):
• □ Offline-first (field reps in no-network areas)
• □ Attendance/GPS tracking (proof of visit)
• □ Store audit (planogram compliance, stock check)
• □ Order capture (retailers order via rep's app)
• □ Image recognition (AI to verify shelf placement)
• □ Beat planning (route optimization)
• □ Multi-language (Hindi, regional languages)
• DIFFERENTIATORS:
• □ Distributor app (not just field team app)
• □ Retailer app (direct ordering)
• □ Analytics dashboard (for CPG management)
• □ WhatsApp integration (retailers use WhatsApp)
• □ UPI payments (collect payments in field)
• COMPETITOR FEATURE COMPARISON:
• Feature | FieldAssist | Bizom | Ivy | [Us]
• Offline app | ✅ | ✅ | ✅ | ✅
• Image AI | ✅ | ✅ | ⚠️ | ✅
• Distributor app | ✅ | ⚠️ | ❌ | ✅ (our edge!)
• WhatsApp | ⚠️ | ❌ | ❌ | ✅ (our edge!)
• Multi-language | ✅ | ✅ | ✅ | ✅
• POSITIONING:
• "FieldAssist for mid-market CPG
• With distributor app + WhatsApp integration
• At 50% of the price"

Operations Tech Positioning (India Context):

• POSITIONING CONSIDERATIONS:
• GEOGRAPHY MATTERS:
• North India: Different retail patterns than South
• South India: More organized, English-comfortable
• East India: Traditional retail dominant
• West India: Mix of modern + traditional
• LANGUAGE MATTERS:
• Field reps: Hindi + regional language required
• Retailers: Regional language + broken Hindi/English
• Management: English dashboards
• PRICE MATTERS:
• MNC CPG: Will pay global prices (₹50L-2Cr)
• Indian CPG: Price-sensitive (₹10L-30L)
• ROI-driven: "If we increase distribution by 5%, savings = ₹X"
• MOBILE-FIRST REALITY:
• Field reps have smartphones (Xiaomi, Samsung)
• 4G coverage patchy (need offline-first)
• WhatsApp is primary communication tool

Your Reality Check:

• COMPANY PROFILE:
• Size: $5M-15M ARR, 80-300 employees
• Stage: Series B
• You: VP Product Marketing or Strategy
• Customers: 20-40 CPG companies (mostly Tier 2-3)
• Geography: Strong in 1-2 regions, expanding pan-India
• Goal: Win Tier 1 customers (HUL, ITC, Nestle)

Series B Operations Tech: Moving Upmarket

• RESEARCH QUESTION: How to win Tier 1 CPG customers?
• COMPETITIVE ANALYSIS: What does Tier 1 need?
• FIELDASSIST WINS TIER 1 BECAUSE:
• □ Track record (5+ years, 100+ customers)
• □ References (other Tier 1 customers)
• □ Scale (handles 50,000+ field reps)
• □ Integrations (SAP, Oracle, Salesforce)
• □ Security (SOC 2, ISO 27001, data centers in India)
• □ Support (dedicated account team, 24×7)
• □ Customization (enterprise workflows)
• OUR GAPS:
• ❌ No Tier 1 references (chicken-egg problem)
• ❌ Not battle-tested at scale (max 5,000 reps)
• ❌ Limited integrations (no SAP connector yet)
• ❌ No SOC 2 (need 12 months)
• ❌ Small support team (can't dedicate account team)
• PATH TO TIER 1:
• STEP 1: Win Regional Tier 1 (6-12 months)
• Target: Large regional brand (e.g., MTR Foods, Haldiram)
• Size: 2,000-5,000 field reps (test our scale)
• Benefit: Build scale story, get enterprise reference
• STEP 2: Get SOC 2 + ISO 27001 (12 months parallel)
• Investment: ₹40L-60L
• Benefit: Meet enterprise security requirements
• STEP 3: Build SAP Connector (6 months)
• Why: Tier 1 CPG uses SAP for distribution
• Investment: 2 engineers × 6 months
• Benefit: Integration with Tier 1 systems
• STEP 4: Pilot with Tier 1 (12-18 months)
• Approach: Regional pilot first (one state)
• If successful: Pan-India rollout
• Timeline: Total 24-36 months from Series B to Tier 1 win

Your Reality Check:

• COMPANY PROFILE:
• Size: $20M+ ARR, 300+ employees
• Stage: Series C/D
• Team: Strategy (3 FTE), Product Marketing (5 FTE)
• Customers: 60-100 CPG companies including Tier 1 logos
• Goal: Category leadership, potential IPO/acquisition

Strategic Intelligence: India Retail Tech

• QUARTERLY RESEARCH:
• Q1: Retail Tech M&A Landscape
• Potential acquirers: Salesforce, Oracle, SAP, Accel portfolio consolidation
• Acquisition targets: Adjacent tech (distributor management, route optimization)
• Q2: Retail Digitization Trends
• Kirana digitization pace (Reliance JioMart impact)
• Quick commerce impact on distribution (Swiggy Instamart, Blinkit)
• D2C brands (bypassing traditional distribution)
• Q3: Competitive Consolidation
• Watch: FieldAssist, Bizom, Ivy potential mergers
• Opportunity: Acquire smaller regional players
• Q4: IPO Readiness
• Public comps: Limited (Indian SaaS IPOs rare)
• Path: Private equity or acquisition more likely than IPO

Master Decision Tree: Finding Your Research Path

START: What industry vertical? ├─ SALES TECH │ ├─ Series A ($1M-10M ARR) │ │ ├─ India market → Section A1 (3-day sprint, free tools) │ │ └─ US market → Section A1 (adapt competitor set) │ ├─ Series B ($10M-50M ARR) │ │ ├─ Moving upmarket? → Section A2 (upmarket research) │ │ ├─ Geographic expansion? → Section A2 (expansion analysis) │ │ └─ Competitive positioning? → Section A2 (win/loss) │ └─ Series C+ ($50M+ ARR) │ ├─ M&A targets? → Section A3 (M&A analysis) │ ├─ IPO prep? → Section A3 (public comps) │ └─ Board reporting? → Section A3 (quarterly intelligence) │ ├─ HR TECH │ ├─ Series A → Section B1 (conservative positioning, compliance-first) │ ├─ Series B → Section B2 (module expansion, upmarket) │ └─ Series C+ → Section B3 (compliance benchmark, analyst relations) │ ├─ FINTECH │ ├─ Series A → Section C1 (regulatory landscape, ultra-conservative) │ ├─ Series B → Section C2 (new products = new licenses, geographic expansion) │ └─ Series C+ → Section C3 (M&A for licenses, IPO readiness) │ └─ OPERATIONS TECH ├─ Series A → Section D1 (India retail focus, distributor dynamics) ├─ Series B → Section D2 (Tier 1 enterprise, pan-India) └─ Series C+ → Section D3 (category leadership, M&A)

India Market Research

• Unique Characteristics:
• PRICE SENSITIVITY:
• US SaaS price × 0.3-0.5 = India acceptable price
• Example: Gong $20K/year (US) vs Wingman $8K/year (India)
• Reason: Lower ARPUs, PPP differences, budget constraints
• DECISION MAKING:
• Founder-led at SMB (faster decisions, 1-3 months)
• Cost-conscious at all stages
• References matter MORE (tight-knit community)
• COMPETITION:
• Local players (Darwinbox, FieldAssist, Razorpay)
• Global players entering India (Gong, Lattice, Stripe)
• Price advantage = key differentiator for local players
• DATA SOURCES (India-Specific):
• □ Inc42 (Indian startup news)
• □ Economic Times Tech (industry coverage)
• □ SaaSBoomi community (B2B SaaS founders)
• □ Yourstory (startup ecosystem)
• □ TracxN (Indian company database)
• □ VCCEdge (VC funding data)
• MARKET SIZING (India):
• LinkedIn Sales Navigator (India filter)
• Crunchbase (India + B2B SaaS)
• Government data: MCA filings (ROC)
• Industry reports: NASSCOM, RedSeer
• LANGUAGE CONSIDERATIONS:
• Sales/marketing: English
• Product: English + Hindi (minimum)
• Support: Hindi + regional languages (Tamil, Telugu, Bengali)

US Market Research

• Unique Characteristics:
• PRICE TOLERANCE:
• 2-3× higher than India
• Willing to pay for premium if ROI clear
• Example: Gong $20K-50K annual, accepted
• DECISION MAKING:
• Slower, committee-driven (3-9 months)
• ROI-driven (need calculators, case studies)
• Due diligence intensive (security, references)
• COMPETITION:
• Crowded (100+ competitors in each category)
• Well-funded (VCs: Sequoia, a16z, etc.)
• Category leaders dominant (Gong, Lattice, Stripe)
• DATA SOURCES (US-Specific):
• □ Crunchbase (US venture funding)
• □ G2 (US buyers dominate reviews)
• □ TechCrunch (US tech news)
• □ SaaStr (B2B SaaS community)
• □ Product Hunt (US launches)
• MARKET SIZING (US):
• LinkedIn Sales Navigator (US filters)
• Census data (company counts)
• Industry associations (SIA for HR Tech, etc.)
• Analyst reports (Gartner, Forrester)
• COMPLIANCE:
• SOC 2 Type II (required for enterprise)
• GDPR if serving EU customers
• State-specific: CCPA (California), SHIELD Act (NY)

Example 1: Sales Tech Founder, Series A, India → US Expansion

• SCENARIO:
• Company: AI sales coaching, $3M ARR, 35 employees
• Stage: Series A (just raised $5M)
• Current: 50 customers in India (SMB B2B SaaS)
• Question: "Should we expand to US now or wait?"
• RESEARCH PLAN:
• WEEK 1: US Market Landscape
• □ Identify US competitors (Gong, Chorus, Revenue.io)
• □ Price benchmarking (3-4× higher than India)
• □ Customer interviews (5 US sales leaders)
• □ Question: "Would you buy from India-based company?"
• WEEK 2: Go/No-Go Analysis
• PROS (Go to US):
• ✅ 7× larger market (15K SMB SaaS vs 2K in India)
• ✅ Higher ACVs ($10K-20K vs $3K-5K in India)
• ✅ Less competitive at SMB (Gong focuses on enterprise)
• ✅ Investors want US traction
• CONS (Wait):
• ❌ Need US team (sales, support = $300K-500K/year)
• ❌ Brand unknown (India success doesn't transfer)
• ❌ Time zone challenge (India team supporting US customers)
• ❌ Payment processing (Stripe US vs India)
• ❌ India market still underpenetrated (2K companies, only 50 customers)
• CALCULATION:
• US Expansion Cost Year 1: $500K (team + marketing)
• India Deepening Cost Year 1: $200K (same team)
• US Upside: 10 customers × $15K = $150K ARR
• India Upside: 30 customers × $4K = $120K ARR
• ROI: Similar, but India has less execution risk
• RECOMMENDATION: Focus India until $10M ARR
• Reason:
• Still early in India (50/2000 = 2.5% penetration)
• US requires significant investment
• India market understands our pain points better
• Build case studies in India first, then leverage for US
• EXCEPTION: If US strategic investor leads Series B, then expand

Example 2: HR Tech PMM, Series B, Module Expansion Decision

• SCENARIO:
• Company: Employee engagement platform, $18M ARR
• Stage: Series B (400 customers, mid-market focus)
• Current: Just engagement surveys + pulse
• Question: "Add performance management or recruiting module?"
• RESEARCH PLAN (2 Weeks):
• COMPETITIVE ANALYSIS:
• Performance Management:
• □ Competitors: Lattice, 15Five, BetterUp
• □ Market: Crowded but growing
• □ Customer need: 67% of customers ask for it (from surveys)
• □ Build vs Buy: 12 months to build, or acquire for $10M-20M
• □ Cannibalization: Low (complements engagement)
• Recruiting:
• □ Competitors: Lever, Greenhouse, Ashby
• □ Market: Very crowded, strong incumbents
• □ Customer need: 31% ask for it
• □ Build vs Buy: 18 months to build, complex
• □ Cannibalization: Medium (different buyer - TA vs HR)
• WIN/LOSS ANALYSIS:
• Interviewed 20 customers:
• Lost 8 deals to Lattice (reason: "Wanted engagement + performance")
• Lost 2 deals to Greenhouse (reason: "Recruiting was priority")
• CUSTOMER SURVEYS:
• "If we added one module, which would you want?"
• Performance management: 68%
• Recruiting: 23%
• Learning & development: 9%
• DECISION: Build Performance Management
• Reason:
• Higher customer demand (68% vs 23%)
• Reduces churn to Lattice
• Easier to build (12 vs 18 months)
• Natural adjacency (same buyer = CHRO)
• Recruiting too competitive (Lever, Greenhouse mature)
• IMPLEMENTATION:
• Timeline: 12 months to launch
• Investment: $800K-1.2M (4 engineers × 12 months)
• Go-to-market: Existing customers first (upsell)
• Pricing: +$2/employee/month for performance add-on

Example 3: Fintech CMO, Series C, M&A Target Identification

• SCENARIO:
• Company: Corporate expense management, $45M ARR
• Stage: Series C (preparing for Series D/IPO)
• Current: Expense management only, want to expand
• Board directive: "Acquire complementary fintech to become platform"
• RESEARCH PLAN (4 Weeks):
• WEEK 1: Define Acquisition Thesis
• Options:
• 1. Corporate cards (compete with EnKash, Volopay)
• 2. Payroll (compete with Razorpay Payroll, Zoho)
• 3. Procurement (compete with Procol, Kissflow)
• STRATEGIC FIT ANALYSIS:
• Corporate Cards:
• □ Customer overlap: High (95% of customers want cards)
• □ Revenue synergy: High (attach rate 70-80%)
• □ Regulatory: Need RBI PPI license (or acquire licensed)
• □ Competition: Medium (EnKash, Volopay)
• Payroll:
• □ Customer overlap: Medium (60% have <200 employees)
• □ Revenue synergy: Medium (attach rate 40-50%)
• □ Regulatory: Complex (state labor laws, compliance)
• □ Competition: High (Razorpay, Zoho, many others)
• Procurement:
• □ Customer overlap: Low (30% need procurement)
• □ Revenue synergy: Low (attach rate 20-30%)
• □ Regulatory: Minimal
• □ Competition: Low (early market)
• DECISION: Acquire Corporate Cards Player
• Reason: Highest customer overlap + revenue synergy
• WEEK 2-3: Target Identification
• TARGET CRITERIA:
• □ RBI PPI licensed (saves us 18 months)
• □ $5M-15M ARR (affordable at $40M-100M valuation)
• □ 1,000-5,000 cards issued (proof of concept)
• □ Complementary customer base (not too much overlap)
• □ Strong technology (can integrate in 6 months)
• TARGET SHORTLIST:
• 1. Company A: $8M ARR, RBI licensed, 3,000 cards
• 2. Company B: $12M ARR, not licensed (partner model)
• 3. Company C: $6M ARR, RBI licensed, 2,000 cards
• WEEK 4: Due Diligence (Company A)
• LICENSE VERIFICATION:
• □ RBI PPI license: Valid until 2027 ✅
• □ Compliance record: Clean (no RBI actions) ✅
• □ License transferable: Yes (with RBI approval, 3-6 months) ✅
• CUSTOMER ANALYSIS:
• □ Total customers: 180
• □ Overlap with us: 15 customers (8%)
• □ Customer retention: 89% (good)
• □ Average cards per customer: 17 cards
• TECHNOLOGY:
• □ Core platform: Modern (Node.js, AWS)
• □ Integration complexity: Medium (6-9 months)
• □ Technical debt: Manageable
• VALUATION:
• □ ARR: $8M
• □ Growth: 120% YoY
• □ Burn: $800K/month
• □ Asking price: 8-10× ARR = $64M-80M
• □ Our offer: $60M (7.5× ARR)
• RECOMMENDATION: Acquire Company A for $60M
• Synergy case:
• Year 1: Upsell cards to our 1,200 customers
• Attach rate assumption: 40%
• New ARR: 480 customers × $15K avg = $7.2M
• Acquisition pays for itself in 8-10 years (vs building = 18 months delay)

Mistake 1: "Industry-Agnostic Research" (One-Size-Fits-All)

• WRONG APPROACH:
• "I'll use the same battle card template for Sales Tech, HR Tech, and Fintech"
• WHY IT FAILS:
• Sales Tech: Can be aggressive ("We're 10× cheaper than Gong")
• HR Tech: Must be professional ("We're built for mid-market")
• Fintech: Must be conservative ("Both of us are RBI-compliant...")
• CORRECT APPROACH:
• Use industry-specific positioning frameworks:
• → Sales Tech → Sections A1-A3
• → HR Tech → Sections B1-B3
• → Fintech → Sections C1-C3
• → Ops Tech → Sections D1-D3

Mistake 2: "Stage-Agnostic Budgets" (Wrong Tools for Stage)

• WRONG APPROACH:
• "Series A company buying Gartner subscription ($35K/year)"
• WHY IT FAILS:
• Series A budget: $0-500/month total marketing tools
• Gartner: $35K/year = 70% of annual tool budget
• ROI: Gartner useful for enterprise sales (Series C+), not early-stage
• SERIES A TOOLS: Free + LinkedIn Sales Nav ($99/mo)
• SERIES B TOOLS: Add Crunchbase Pro, SimilarWeb ($250-350/mo)
• SERIES C+ TOOLS: Now justify Gartner, Klue, ZoomInfo
• CORRECT APPROACH:
• Match tool spend to stage → See budget tables in each section

Mistake 3: "Geography-Agnostic Competitors" (Wrong Comp Set)

• WRONG APPROACH:
• India sales tech startup positioning against Gong/Outreach only
• WHY IT FAILS:
• Gong: $500M+ valuation, US-focused, enterprise
• Real competition in India: Wingman, local startups, price-sensitive
• Customers ask: "Why not Wingman?" not "Why not Gong?"
• CORRECT APPROACH:
• PRIMARY COMP SET (Direct competition):
• India-based competitors at similar stage
• Example: Wingman for sales tech, Darwinbox for HR Tech
• SECONDARY COMP SET (Aspiration):
• Global players (Gong, Lattice) for positioning
• "We're Gong-quality at Indian pricing"

Mistake 4: "Ignoring Regulatory Differences" (Fintech/HR Tech)

• WRONG APPROACH:
• Copy US Fintech research playbook for India
• WHY IT FAILS:
• US Fintech:
• Regulation: State-by-state, relatively open
• Innovation: Encouraged (regulatory sandboxes)
• India Fintech:
• Regulation: RBI central control, strict
• Innovation: Controlled (must have license first)
• Compliance: Data localization mandatory
• CORRECT APPROACH:
• Research regulatory landscape FIRST, then competitors
• → See Section C1 (Fintech regulatory overview)

Mistake 5: "Vanity Metrics in Market Sizing" (Top-Down Only)

• WRONG APPROACH:
• "Global sales tech market is $10B, India is 2%, so India = $200M"
• WHY IT FAILS:
• Top-down often overestimates
• Doesn't account for price differences (India pays 30-50% of US prices)
• Doesn't validate with bottom-up
• CORRECT APPROACH:
• ALWAYS triangulate:
• 1. Bottom-up: Count companies in ICP × estimated deal size
• 2. Top-down: Global market × geography % × category %
• 3. Validation: Interview industry experts, "Does $X feel right?"
• If bottom-up = $50M and top-down = $200M:
• → Use conservative middle ground ($75M-100M)
• → Document assumptions clearly

By Company Stage & Budget

ToolSeries ASeries BSeries C+Best ForIndustryGoogle Search✅ FREE✅ Use✅ UseAllAllLinkedIn (Free)✅ FREE✅ Use✅ UseAllAllG2/Capterra✅ FREE✅ Use✅ UseReview miningAllCrunchbase Free✅ FREE⚠️ Limit⚠️ LimitFunding dataAllLinkedIn Sales Nav💰 $99✅ YES✅ YESICP sizing, org chartsAllCrunchbase Pro💰 $29✅ YES✅ YESCompetitor fundingAllSimilarWeb❌ Skip✅ $125✅ YESTraffic analysisSales/MartechAhrefs❌ Skip⚠️ $99✅ YESSEO competitiveSales/MartechG2 Track❌ Skip⚠️ $150✅ YESReview monitoringHR TechGartner❌ No❌ Maybe✅ $35K+Analyst access, MQHR Tech, EnterpriseKlue/Crayon❌ No❌ Maybe✅ $18K+CI platformSeries C+ AllZoomInfo❌ No❌ Maybe✅ $20K+Contact dataSeries C+ AllVanta/Drata⚠️ Fintech✅ Fintech✅ AllSOC 2 complianceFintech, HR Tech, OpsLegal Counsel✅ Fintech✅ Fintech✅ AllRegulatoryFintech mandatory Key: ✅ = Recommended at this stage 💰 = Consider if budget allows ⚠️ = Conditional (see section for details) ❌ = Skip (not worth it at this stage)

Template 1: Series A Sales Tech Competitive Positioning

• Using the Competitive Intelligence skill, Section A1:
• I'm a Series A Sales Tech founder in [India/US].
• My product: [One-line description]
• My ICP: [Company size, industry]
• My competitors: [List 3-5 known competitors]
• My question: [Positioning / Battle cards / Market sizing / All of the above]
• Provide:
• 1. 3-day research sprint plan (using FREE tools only)
• 2. Sales Tech specific competitor tiers (Enterprise/Growth/Emerging)
• 3. Positioning framework (vs Gong/Outreach if US, vs Wingman/local if India)
• 4. Battle card template (aggressive but not offensive)
• 5. Market sizing (bottom-up + top-down validation)
• India-specific if applicable:
• Local competitor focus
• Rupee pricing benchmarks
• India B2B SaaS community sources

Template 2: Series B HR Tech Module Expansion Research

• Using the Competitive Intelligence skill, Section B2:
• I'm Series B HR Tech PMM.
• Current product: [What we have today]
• Considering adding: [Performance / Recruiting / Learning / Payroll]
• Competitors: [List main competitors]
• Goal: [Build vs Buy / Timing / Prioritization]
• Provide:
• 1. 2-week research plan (with paid tools budget $300-500/mo)
• 2. Module expansion analysis (which competitors added what, when)
• 3. Win/loss framework (why we lose to Lattice/competitors)
• 4. Build vs Buy analysis (12-month timeline, cost estimate)
• 5. Customer demand validation (survey questions to ask)
• Remember:
• HR Tech = professional tone (never attack competitors)
• Compliance considerations (GDPR, labor laws)
• Committee buying dynamics (HR + Finance + Legal)

Template 3: Series A Fintech Regulatory Competitive Analysis

• Using the Competitive Intelligence skill, Section C1:
• I'm Series A Fintech founder in India.
• My product: [Expense mgmt / Corporate cards / Payroll / Other]
• My question: [Which licenses needed? / Competitor compliance? / Positioning?]
• Market: [India / Planning US expansion / Both]
• Provide:
• 1. Regulatory landscape overview (RBI licenses needed)
• 2. Competitor license mapping (who has what)
• 3. Compliance timeline (how long to get licensed)
• 4. Conservative positioning framework (fintech-appropriate)
• 5. Research plan with legal review checkpoints
• CRITICAL:
• Ultra-conservative (regulatory risk is extreme)
• Legal review mandatory disclaimer
• No competitor attacks (could trigger RBI scrutiny)
• Data privacy compliance (cannot share user data)

Template 4: Series B Operations Tech Upmarket Research

• Using the Competitive Intelligence skill, Section D2:
• I'm Series B Operations Tech (Retail Execution) in India.
• Current customers: [Tier 2-3 CPG brands]
• Goal: Win Tier 1 customers (HUL, ITC, Nestle, Dabur)
• Question: What do I need to compete at Tier 1?
• Provide:
• 1. Tier 1 requirements analysis (features, scale, integrations)
• 2. Competitor comparison (FieldAssist, Bizom, Ivy capabilities)
• 3. Gap analysis (what we're missing for enterprise)
• 4. Roadmap priorities (24-month path to Tier 1 readiness)
• 5. Go-to-market strategy (regional brand → Tier 1 pilot)
• India retail context:
• MNC CPG vs Indian CPG buying patterns
• Distributor dynamics (B2B2B complexity)
• Offline-first requirements (patchy 4G)
• Multi-language support (Hindi + regional)

Issue 1: "Can't find competitor pricing information"

DIAGNOSIS: □ Checked competitor websites? (pricing page) □ Checked G2 reviews? (users mention price) □ Searched "[competitor] pricing" on Google? □ Asked in communities (Reddit, Slack groups)? SOLUTIONS: SHORT-TERM (This Week): □ Use G2 review search: filter by "pricing" mentions □ Example: "Gong pricing" in reviews → users say "$1,500-4,000/seat" □ Check Reddit: r/sales, r/saas for user-reported pricing □ LinkedIn polls: "What do you pay for [category]?" MEDIUM-TERM (This Month): □ Interview customers: "Which competitors did you evaluate? What was pricing?" □ Interview lost deals: "Why did you choose [Competitor]? Was price a factor?" □ Sales Nav: Find people who work at competitor, connect, ask (subtly) LONG-TERM (Next Quarter): □ Commission research: Hire firm to do competitive pricing study □ Partner pricing: If you partner with competitor, you'll learn pricing □ Board connections: Investors often know competitor pricing WORKAROUNDS: If still can't find pricing: □ Estimate based on: Category averages (G2 pricing filter) □ Back-calculate: If competitor raised $X, has Y employees, burns $Z, estimate ACV □ Disclaimer: "Estimated pricing based on industry benchmarks and user reports"

Issue 2: "Competitor in different geography (India vs US)"

• DIAGNOSIS:
• □ India company expanding to US?
• □ US company entering India?
• □ Need to compare both markets?
• SOLUTIONS:
• SCENARIO A: India Company → US Expansion
• Step 1: Identify US Equivalents
• Don't compete with Gong directly (you're unknown in US)
• Find: Mid-tier US players (similar stage to you)
• Example: India sales tech → Compare to Revenue.io (Series B) not Gong (unicorn)
• Step 2: Price Expectations
• India: $3K-5K annual for sales tech
• US: $10K-20K annual (2-4× higher)
• Adjust your pricing up for US market
• Step 3: Positioning
• Don't say: "We're Indian alternative to Gong"
• Do say: "Global sales tech, trusted by [India customers], expanding to US"
• SCENARIO B: US Company → India Entry
• Step 1: Identify Local Competition
• Don't ignore local players (they have price advantage)
• Find: India startups in your space
• Example: Gong entering India → compete with Wingman (local, cheaper)
• Step 2: Price Adaptation
• US: $20K/year for Gong
• India: Must price at $6K-10K (0.3-0.5× of US price)
• Or: Risk being "too expensive for India market"
• Step 3: Localization
• Language: Hindi + English minimum
• Support: India time zones (IST)
• Payments: Rupee pricing, Indian payment methods

Issue 3: "No public information on competitor (stealth mode)"

DIAGNOSIS: □ Competitor is pre-launch or stealth? □ No website, no reviews, minimal info? □ Only rumors or whispers in market? SOLUTIONS: SIGNALS TO TRACK: LinkedIn Signals: □ Company page: How many employees? Growing? □ Job postings: What roles? (Hiring SDRs = going to market soon) □ Employee profiles: What are they building? (LinkedIn posts) □ Founder posts: Any hints about product? Crunchbase: □ Funding: How much raised? When? □ Investors: Who backed them? (signals their focus) □ Founders: Their background (hints at product direction) GitHub: □ Public repos: Any open-source components? □ Employee commits: What tech stack? Y Combinator / Accelerators: □ YC company directory: Their one-liner description □ Demo day pitches: Sometimes recorded/transcribed NETWORK INTELLIGENCE: □ Shared investors: Ask your investors about competitor □ Shared customers: Ask "Have you heard of [Competitor]?" □ Industry events: Attend where they might present □ Sales team: Lost a deal to them? Interview the customer CONSERVATIVE APPROACH: If minimal info: □ Don't speculate in battle cards □ Focus on: "Emerging competitor, watching closely" □ Monitor: Set Google Alerts, track their LinkedIn □ Update: Quarterly reviews of stealth competitors

Issue 4: "Conflicting data from multiple sources"

• DIAGNOSIS:
• □ G2 says competitor is $5K, Reddit says $10K?
• □ Crunchbase says $20M ARR, press release says $15M?
• □ Analyst report says X, our research says Y?
• SOLUTIONS:
• EVALUATE SOURCE CREDIBILITY:
• TIER 1 (Highest Credibility):
• □ Official company announcements (press releases)
• □ Regulatory filings (RBI, SEC if public)
• □ Analyst reports (Gartner, Forrester - but expensive)
• TIER 2 (Medium Credibility):
• □ Industry publications (TechCrunch, ET Tech)
• □ Customer testimonials (G2 verified reviews)
• □ Investor announcements (funding rounds)
• TIER 3 (Lower Credibility):
• □ Anonymous reviews (unverified)
• □ Reddit/community posts (rumors)
• □ Third-party estimates (e.g., Sensor Tower DAU estimates)
• RECONCILIATION APPROACH:
• Example: Competitor pricing conflict
• G2 review: "We pay $5K/year" (1 data point)
• Reddit: "Quoted at $10K" (another data point)
• Website: No pricing (not helpful)
• Resolution:
• 1. More data: Read 20+ G2 reviews, find pricing mentions
• 2. Find range: "$5K-10K annually depending on seats, features"
• 3. Present as range: "Estimated $5K-10K based on user reports"
• 4. Confidence level: "Medium confidence (based on user reports, not official)"
• DISCLOSURE IN REPORTS:
• "Competitor pricing: $5K-10K estimated annual
• Source: G2 user reviews (n=12), Reddit discussions (n=3)
• Confidence: Medium (no official pricing available)
• Last updated: [Date]"

Issue 5: "Board wants faster research (can't spend 2 weeks)"

DIAGNOSIS: □ Urgent board meeting (3 days notice)? □ Quick competitive snapshot needed? □ Can't do 2-week comprehensive research? SOLUTIONS: 48-HOUR RAPID COMPETITIVE BRIEF: DAY 1 (4 hours): 09:00-10:00 | Competitive List □ Google: "[category] competitors" □ G2 category page: Top 20 players □ Output: List of 15-20 competitors 10:00-11:30 | Tier Categorization □ Tier 1: Enterprise leaders (Gong, Workday, Stripe) □ Tier 2: Growth stage (Your real competition) □ Tier 3: Emerging (Watch list) □ Output: Tiered competitor matrix 11:30-13:00 | Quick Positioning Map □ 2×2 matrix (pick 2 dimensions relevant to you) □ Plot top 10 competitors □ Identify white space □ Output: Positioning slide DAY 2 (4 hours): 09:00-11:00 | Battle Cards (Top 3 Only) □ Focus: Top 3 competitors only □ Quick research: Website, G2 (read 10 reviews each) □ Template: Strengths, Weaknesses, When we win □ Output: 1-page battle cards (3 total) 11:00-13:00 | Executive Summary □ 1-page: Competitive landscape □ 3-5 bullets: Key insights □ 2-3 recommendations: Strategic implications □ Output: Executive slide BOARD PRESENTATION (10 slides, 15 minutes): 1. Competitive landscape overview 2. Tiered competitor matrix 3. 2×2 positioning map 4. Top 3 competitor battle cards (1 slide each) 5. Market trends 6. Strategic recommendations 7. Q&A backup slides DISCLAIMER TO BOARD: "This is a rapid competitive snapshot (48 hours research) For comprehensive analysis, recommend 2-week deep dive Key areas needing more research: [Pricing, Market sizing, etc.]"

Related Skills

Complement This Skill With: Content Writing & Thought Leadership - Turn competitive insights into thought leadership content Personal Branding & Authority - Position yourself as market expert Newsletter Creation - Share market intelligence with prospects Social Media Management - Amplify competitive insights

When To Use Which Section:

SALES TECH (conversation intelligence, sales engagement): → Sections A1, A2, A3 HR TECH (HRIS, engagement, performance, recruiting): → Sections B1, B2, B3 FINTECH (payments, expense, cards, payroll): → Sections C1, C2, C3 OPERATIONS TECH (retail execution, logistics, field force): → Sections D1, D2, D3

Research Timeline by Stage:

• SERIES A:
• Quick research: 2-3 days
• Comprehensive: 5 days
• Tools: Free only
• Output: Battle cards + positioning
• SERIES B:
• Quick research: 1 week
• Comprehensive: 2 weeks
• Tools: $250-600/month
• Output: Strategic positioning + win/loss
• SERIES C+:
• Ongoing: Quarterly cycles
• Deep dive: 4 weeks per quarter
• Tools: $75K-300K/year
• Output: Board-level intelligence + M&A
• END OF SKILL