I'm the only product marketer at a 50-person SaaS company. My responsibilities include:
- Product launches (3-4 per quarter)
- Messaging and positioning
- Sales enablement
- Content strategy
- Competitive intelligence
- Win/loss analysis
- Market research
My CEO asked: "Can you put together comprehensive competitive intelligence on our top 5 competitors?"
I did the math: Comprehensive competitive intelligence would require 10-15 hours per week minimum. I had maybe 6 hours per week to dedicate to competitive intel while handling everything else.
The classic competitive intelligence advice assumes you have resources:
- "Monitor 20 competitor data sources daily"
- "Conduct 50 win/loss interviews quarterly"
- "Build detailed competitive matrices with 100+ features tracked"
- "Attend competitor demos monthly"
- "Maintain comprehensive battlecards for every competitor"
That's a full-time job. I had 6 hours per week.
I needed a competitive intelligence system optimized for teams of one—maximum impact with minimum time investment.
Here's what actually works when you're running competitive intelligence solo.
The Core Problem: Comprehensive vs. Sustainable
Early in my solo PMM role, I tried to do "comprehensive" competitive intelligence:
What I attempted:
- Monitoring 5 competitors across 12 data sources each
- Weekly competitor website checks
- Monthly competitor demo attendance
- Detailed feature comparisons updated monthly
- Comprehensive battlecards for all competitors
- Win/loss interviews for every deal
- Quarterly competitive reports
Time required: 15-20 hours per week
What actually happened: I burned out in 6 weeks, missed critical signals because I was overwhelmed, and produced intelligence that was too detailed for anyone to use.
The insight: Solo competitive intelligence can't be comprehensive. It must be strategic—focused on the 20% of intelligence that drives 80% of decision value.
The Solo Competitive Intelligence Framework: 6 Hours Per Week
I rebuilt my approach around sustainability. Here's my weekly routine:
Monday (45 minutes): Set up automated monitoring
I don't manually check websites. I use free automation:
Tools:
- Visualping (free tier): Monitors top 2 competitors' pricing and product pages for changes
- Google Alerts: Tracks competitor mentions in news and blogs
- LinkedIn alerts: Notifies when competitors post jobs or content
- RSS aggregator (Feedly): Aggregates competitor blogs, press releases
Setup time: 2 hours once, then 10 minutes per week to review alerts
Monday benefit: Automation surfaces 90% of important changes without manual checking.
Tuesday (60 minutes): Win/loss interview batch
Instead of interviewing every customer, I batch interviews:
System:
- Every Tuesday 9-10am: Win/loss interview block
- Only interview deals against major competitors (not every deal)
- 15-minute interviews (not 45-minute deep dives)
- Simple 5-question script
Questions:
- What alternatives did you evaluate?
- Why did you choose [us/them]?
- What almost made you choose differently?
- What surprised you about [competitor]?
- What would you tell a peer evaluating both options?
Volume: 2-4 interviews per week = 8-16 per month
Benefit: Enough data to spot patterns without overwhelming my schedule.
Wednesday (30 minutes): Sales feedback collection
I have a standing 30-minute Wednesday Slack call with sales:
"What competitive situations came up this week? What questions did you have? What objections did you hear?"
I log insights in Airtable during the call.
Benefit: Sales tells me what matters instead of me guessing.
Thursday (90 minutes): Analysis and updates
Thursday morning, I analyze the week's intelligence:
Activities:
- Review automated alerts (10 min)
- Code win/loss interviews for patterns (30 min)
- Update battlecards if meaningful changes occurred (20 min)
- Draft competitive intel update for Slack (15 min)
- Plan next week's focus areas (15 min)
Friday (45 minutes): Distribution
I post weekly competitive intelligence summary to Slack:
"This week in competitive intelligence:
- Competitor X increased pricing 15% (link to proof)
- Competitor Y hired 3 enterprise sales reps (signal: moving upmarket)
- Win/loss pattern: We're winning on speed, losing on feature breadth
What it means:
- Expect Competitor X customers to consider switching due to pricing
- Competitor Y will compete more in enterprise deals (adjust positioning)
- Continue emphasizing 'fast time to value' in sales conversations
Updated battlecards: [links]"
Benefit: Stakeholders get actionable intelligence without attending meetings.
Monthly (2 hours): Deep-dive analysis
Once per month, I do deeper analysis:
Activities:
- Review month's win/loss data for trends
- Analyze competitive positioning shifts
- Update positioning maps
- Recommend product roadmap adjustments based on competitive gaps
Total time investment: 6-7 hours per week on average
Results vs. 20-hour comprehensive approach: 80% of the value in 30% of the time.
The Tools Stack for Solo Competitive Intelligence
Expensive enterprise CI tools (Klue, Crayon) cost $25K-$40K annually. As a solo PMM with limited budget, I use free/cheap tools:
Tool 1: Airtable (Free tier)
My competitive intelligence database with tables for:
- Competitors (basic info, positioning, strengths/weaknesses)
- Win/loss interviews (coded by decision factors)
- Competitive events (pricing changes, product launches, M&A)
- Battlecard content (organized by competitor)
Cost: $0 (free tier) Time saved: 3 hours per week vs. scattered Google Docs
Tool 2: Visualping (Free tier)
Monitors competitor websites for changes:
- Pricing pages (daily checks)
- Product pages (weekly checks)
- Careers pages (weekly checks)
Cost: $0 (free tier allows 65 checks/month) Time saved: 2 hours per week vs. manual checking
Tool 3: Google Alerts + Feedly
Automated content monitoring:
- Google Alerts: Competitor news mentions
- Feedly: Aggregates competitor blogs, press releases
Cost: $0 Time saved: 1 hour per week
Tool 4: Notion (Team plan, $10/user/month)
Sales-facing competitive intelligence:
- One-page battlecards (easily accessible)
- Competitive talk tracks
- Objection handling scripts
Syncs to Salesforce so sales can access during calls.
Cost: $10/month Time saved: Sales finds answers in 30 seconds instead of pinging me
Total tool cost: $10/month vs. $3,000/month for enterprise CI platform
For teams ready to scale beyond manual systems while maintaining tight budgets, platforms like Segment8 offer streamlined competitive intelligence automation at a fraction of enterprise tool costs.
What to Track vs. What to Ignore
As a solo PMM, you can't track everything. Prioritization is survival.
What I track religiously:
1. Pricing changes (top 3 competitors) Why: Directly impacts deal outcomes How: Visualping daily monitoring Time: 5 min/week review
2. Product launches (top 3 competitors) Why: Affects competitive positioning How: RSS feeds, LinkedIn alerts Time: 15 min/week review
3. Win/loss decision drivers (top 3 competitors) Why: Reveals what actually matters to customers How: Weekly interviews Time: 60 min/week
4. Sales objections and questions (all competitors) Why: Shows where sales needs better intelligence How: Weekly sales call Time: 30 min/week
What I explicitly ignore:
1. Every feature difference Why: Feature parity exists in most markets, comprehensive tracking is low ROI Instead: Only track features that come up in 20%+ of losses
2. Competitor social media Why: Low signal-to-noise ratio Instead: Only track via Google Alerts if they make news
3. Every competitor (we compete against 8) Why: Can't track all deeply Instead: Deep intelligence on top 3, basic awareness on others
4. Perfect comprehensiveness Why: Perfection takes 20 hours/week I don't have Instead: Strategic intelligence that drives decisions
How to Make Competitive Intelligence Actionable (Not Just Informative)
The goal isn't to know everything about competitors. The goal is to help the company win more deals.
How I ensure intelligence is actionable:
Tactic 1: Always include "so what" and "do this"
Bad competitive intelligence: "Competitor X increased pricing 20%"
Good competitive intelligence: "Competitor X increased pricing 20%. So what: Their customers are likely evaluating alternatives. Do this: Sales team should reach out to prospects using Competitor X and position our pricing stability as advantage."
Tactic 2: Update battlecards immediately
When I learn something competitive, I update battlecards within 24 hours.
Old approach: Quarterly battlecard updates Result: Battlecards were stale, sales didn't trust them
New approach: Immediate updates when intelligence changes Result: Sales accesses battlecards weekly because they're current
Tactic 3: Focus intelligence on decision-makers
Different stakeholders need different intelligence:
For sales:
- One-page battlecard with objection handling
- Weekly Slack updates on competitive changes
- Quick reference, not comprehensive analysis
For product:
- Quarterly feature gap analysis with deal impact data
- Specific recommendations (build, partner, position around)
- Focused on top 3-5 gaps by revenue impact
For executives:
- Monthly competitive summary (3 bullet points max)
- Strategic implications only
- What changed, why it matters, what we're doing
Tactic 4: Make intelligence findable
I organize all competitive intelligence in three places:
For quick reference: Notion battlecards (linked in Salesforce) For historical analysis: Airtable database (searchable by competitor, date, type) For communication: Slack #competitive-intel channel (running log with search)
If sales can't find intelligence in 30 seconds, they'll wing it instead.
How to Handle Competitive Situations You're Unprepared For
Even with good systems, you'll face situations where you don't have intelligence:
Situation 1: Sales asks about competitor you don't track deeply
Bad response: "Sorry, I don't have information on them"
Good response: "I don't have deep intelligence on Competitor Z yet. Let me spend 30 minutes researching and get back to you within 2 hours with basic positioning guidance."
Then I do quick research:
- 10 min: Website + G2 reviews
- 10 min: 2-3 customer win/loss stories mentioning them
- 10 min: Draft positioning guidance
Situation 2: Competitor launches something unexpected
Bad response: Panic and scramble for comprehensive analysis
Good response: 48-hour analysis sprint
- Day 1: Gather public information, draft initial assessment
- Day 2: Update battlecards, brief sales, recommend response
Situation 3: Executive wants competitive deep-dive on new competitor
Bad response: Spend 40 hours building comprehensive analysis
Good response: "I can deliver quick strategic assessment in 2 days or comprehensive analysis in 2 weeks. Which timeline do you need?"
Usually they want quick assessment. If they want comprehensive, I negotiate deprioritizing other work.
How to Avoid Burnout on Competitive Intelligence
Solo competitive intelligence is marathon, not sprint. Sustainability matters.
Burnout prevention tactics:
Tactic 1: Fixed time boundaries
I have 6 hours per week for competitive intelligence. When time's up, I stop.
Early in my role, I'd spend 15-20 hours when competitors launched features. Unsustainable.
Now: I deliver best possible intelligence within time constraints, not perfect intelligence with unlimited time.
Tactic 2: Ruthless prioritization
Every competitive intelligence request gets prioritized:
Priority 1 (do this week): Affects active deals or launch in progress Priority 2 (do this month): Strategic but not urgent Priority 3 (nice to have): Do only if time permits (usually never)
I say "no" to 60% of competitive intelligence requests and direct people to existing resources.
Tactic 3: Batch similar work
I don't scatter competitive intelligence throughout my week. I batch it:
- All win/loss interviews: Tuesday mornings
- All competitive analysis: Thursday mornings
- All distribution: Friday mornings
This creates flow instead of constant context-switching.
Tactic 4: Automate ruthlessly
If I'm doing something manually more than once, I automate it:
- Website monitoring → Visualping
- Content tracking → RSS feeds
- Competitive updates → Automated Slack posts via Zapier
- Data entry → Airtable forms
Measuring Impact (Proving Competitive Intelligence Is Worth Your Time)
I track metrics to prove my 6 hours per week on competitive intelligence drives value:
Metric 1: Win rate improvement
Before systematic competitive intelligence: 38% win rate vs. top 3 competitors After 6 months: 57% win rate vs. top 3 competitors
+19 points = $1.2M additional ARR
Metric 2: Sales battlecard usage
% of sales team accessing battlecards monthly: 78% (vs. 12% before) % of competitive deals where battlecard was referenced: 64%
Metric 3: Time to competitive response
Before: 3-4 weeks to update positioning after competitor moves After: 48 hours average
Metric 4: Competitive intelligence requests deflected
Before: 10-12 ad-hoc competitive questions per week After: 3-4 per week (sales self-serves from battlecards and Slack updates)
Time saved: 4-5 hours per week
ROI: 6 hours per week investment → 19-point win rate improvement → $1.2M ARR impact
Common Solo PMM Competitive Intelligence Mistakes
Mistake 1: Trying to be comprehensive
You can't track everything. Strategic focus beats comprehensive coverage.
Fix: Deep intelligence on top 3 competitors, basic awareness on others.
Mistake 2: Building intelligence nobody uses
Comprehensive competitive analyses that sit in Google Drive unused.
Fix: Build for use cases (one-page battlecards for sales) not comprehensiveness.
Mistake 3: Manual work that could be automated
Manually checking websites, manually copying data, manually distributing updates.
Fix: Automate anything you do more than once.
Mistake 4: Hoarding intelligence
Keeping competitive intelligence to yourself instead of distributing broadly.
Fix: Over-communicate. Slack updates weekly. Battlecards always current.
Mistake 5: No time boundaries
Spending 20 hours per week on competitive intelligence when you have 6 hours.
Fix: Fixed time allocation. Deliver best intelligence possible within constraints.
The Bottom Line on Solo Competitive Intelligence
Running competitive intelligence as a team of one requires different approach than enterprise competitive intelligence teams:
Enterprise CI teams:
- 2-4 full-time people
- Comprehensive coverage
- Expensive tools ($40K+/year)
- Deep analysis
Solo PMM CI:
- 6 hours per week
- Strategic focus
- Free/cheap tools ($10/month)
- Actionable intelligence
You can't do comprehensive competitive intelligence solo. You can do strategic competitive intelligence that drives 80% of value in 20% of time.
The key:
- Automate monitoring (free tools)
- Focus on top 3 competitors
- Track what matters (pricing, product launches, win/loss drivers)
- Make intelligence actionable (battlecards, weekly updates)
- Protect your time (6 hours per week, ruthless prioritization)
I'm the only PMM at my company. I spend 6 hours per week on competitive intelligence. Our competitive win rate improved 19 points in 6 months.
You don't need a dedicated CI team or expensive tools. You need systems, automation, and strategic focus.
Most solo PMMs try to do everything and burn out. The smart ones build sustainable systems that deliver maximum impact with minimum time.