---
name: competitive-intelligence-market-research
description: B2B SaaS competitive intelligence with 24 scenarios across Sales/HR/Fintech/Ops Tech
metadata: {"clawdbot":{"emoji":"π","homepage":"https://github.com/shashwatgtm","always":true}}
---
## **π― 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
```
β Sales Tech (Gong, Outreach, Salesloft) - See Section A
β HR Tech (Culture Amp, Lattice, BambooHR) - See Section B
β Fintech (Razorpay, Happay, Stripe) - See Section C
β Operations Tech (FieldAssist, Locus, logistics/retail) - See Section D
β 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
```
β Series A ($1M-10M ARR, 10-200 employees) - Path 1
β Series B/C ($10M-50M ARR, 200-1000 employees) - Path 2
β 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
```
β India-first market - India guidance
β US-first market - US guidance
β Global/multi-market - Hybrid approach
```
### **STEP 4: Who's Doing This Research?**
Your role determines:
- Autonomy level
- Approval workflows
- Time available
- Output format needed
```
β Founder/Co-Founder - Full autonomy
β VP/Director - Manager approval
β Product Marketing Manager - Team collaboration
β Strategy/Insights Team - Stakeholder coordination
```
---
## **Quick Navigation by Common Scenarios**
**Most Common Use Cases:**
1. **"I'm a Series A founder building battle cards for my sales team"**
β Go to: **Section A1** (Sales Tech, Series A, Founder-Led Research)
2. **"I'm a PMM at Series B HR Tech, need competitive analysis for upmarket move"**
β Go to: **Section B2** (HR Tech, Series B, Professional Research)
3. **"I'm CMO at Series C fintech, board wants market landscape"**
β Go to: **Section C3** (Fintech, Series C+, Strategic Intelligence)
4. **"I'm VP at ops tech selling to India retail, need to size market"**
β Go to: **Section D1** (Operations Tech, India Market Sizing)
---
# π 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
---
## **A1: Sales Tech @ Series A (Scrappy Founder Research)**
### **Your Reality Check:**
```
COMPANY PROFILE:
- Size: $1M-10M ARR, 10-100 employees
- Stage: Series A, finding PMF β 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:
β‘ Direct: Same solution (conversation intelligence)
β‘ Indirect: Different tech, same outcome (sales training platforms)
β‘ 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 | IndiaβUS | AI coaching | New brand
11:30-13:00 | Pricing Research (Critical for Sales Tech)
Sales Tech = Price-sensitive market
FREE RESEARCH SOURCES:
β‘ G2 reviews mentioning price: "Filter by 'pricing' mentions"
β‘ Reddit r/sales: "What do you pay for [tool]?"
β‘ LinkedIn polls: "What's your sales tech budget?"
β‘ 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:
β‘ Top 3 features mentioned in 5-star reviews
β‘ Top 3 complaints in 1-2 star reviews
β‘ "Switched from X because..." patterns
β‘ "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:
β
Simplified feature set (80% of value, 20% of complexity)
β
SMB pricing ($200-500/seat/year vs $1,500+)
β
AI coaching focus (vs pure analytics)
β
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:
β‘ Check LinkedIn: Hiring SDRs = outbound motion
β‘ Check content: Blog topics = SEO keywords they target
β‘ Check ads: Facebook Ad Library for messaging
```
**DAY 3: Synthesis & Battle Cards (4 hours)**
```
09:00-10:30 | Positioning Matrix (Sales Tech Specific)
2Γ2 MATRIX:
X-Axis: Enterprise ββ SMB
Y-Axis: Pure Analytics ββ 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:
β
SMB + Coaching focus = underserved
β
India market (Gong expensive for Indian SMBs)
β
AI-powered real-time coaching (vs post-call)
10:30-12:00 | Battle Cards (Top 3 Competitors)
BATTLE CARD TEMPLATE - SALES TECH FOCUS:
βββββββββββββββββββββββββββββββββββββββββββββββ
β VS. GONG (Enterprise Incumbent) β
βββββββββββββββββββββββββββββββββββββββββββββββ€
β THEIR STRENGTHS: β
β β’ Deep conversation analytics β
β β’ Forecasting accuracy β
β β’ Enterprise-grade security β
β β’ 1000+ integrations β
β β
β THEIR WEAKNESSES: β
β β’ Price: $20K-50K+ annually (too expensive) β
β β’ Complexity: Overkill for SMB (10-50 reps)β
β β’ Setup: Requires IT, 2-4 week onboarding β
β β’ Contract: Annual commit, enterprise sales β
β β
β WHEN THEY WIN: β
β β’ Large sales org (50+ reps) β
β β’ Complex B2B sales (6+ month cycles) β
β β’ Enterprise budget ($50K+ sales tech) β
β β’ Need forecasting + analytics depth β
β β
β WHEN WE WIN: β
β β’ SMB sales team (5-25 reps) β
β β’ Tight budget (< $10K/year sales tech) β
β β’ Need coaching > analytics β
β β’ Fast setup required (< 1 week) β
β β
β OUR COUNTER-POSITIONING: β
β "Gong is built for Salesforce with 500 repsβ
β We're built for startups with 15 reps. β
β Same AI insights, 1/3 the price, β
β 10Γ faster setup." β
β β
β SALES TALKING POINTS: β
β 1. "Save $15K/year vs Gong" β
β 2. "Setup in 1 day vs 4 weeks" β
β 3. "AI coaching, not just dashboards" β
β 4. "Built for Indian SMB sales teams"
... (truncated)Help answer questions about Catholicism accurately
Analyze budget vs actual
Push decisions to Arbiter Zebu for async human review.
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