The 5 Most Common Pitch Deck Lies (And How to Catch Them)

The Pitch Deck Lie Problem

Every year, angels invest millions based on pitch decks that contain lies. Some lies are innocent (founders believe their own hype). Some lies are intentional (founders know they're exaggerating). Either way, investors lose money when they believe what's written in a beautiful slide deck.

This guide covers the 5 most common pitch deck lies and how to catch them before you write a check.

Lie #1: Revenue Faking

The Lie

"Growing 3x year-over-year" sounds great until you look at the actual numbers. Founders commonly fake revenue by:

• Counting gross revenue when they only keep 10%
• Including "signed LOIs" as actual revenue
• Booking revenue that will "definitely close next month"
• Including a big one-time contract that won't repeat

The Math

Founder claims: "$500K ARR, growing 3x YoY"

Reality check:
- $400K of that is a single customer (80% concentration)
- $200K is a "partnership" that's actually a bartered deal (not real cash)
- $150K is "committed" but not contracted (LOI only)
- Actual MRR: $50K/month × 3 = $150K

The "3x growth" is technically true ($150K → $450K projected)
But the current ARR is $150K, not $500K

How to Catch It

1. Ask for bank statements (redacted is fine)

   • Real revenue hits the bank. Fake revenue doesn't.

2. Get the Stripe dashboard

   • Shows actual charges and subscriptions
   • Can't hide from actual payment data

3. Request cohort data

   • Monthly new contracts by cohort
   • If growth is real, there should be monthly new customer acquisition

4. Verify the math

   • 5 employees with $500K ARR? Should have 70%+ gross margin
   • If they can't explain the unit economics, something is wrong

Lie #2: Customer Concentration Tricks

The Lie

"We have great revenue diversification" while 60% of revenue comes from one customer.

Founders know that investors worry about concentration. So they:

• Break down one big customer into multiple "product lines"
• Include the customer as a "partner" or "investor" to hide the dependency
• Count a pilot customer as a full revenue customer

The Real Example

A startup claimed "3 enterprise customers" and "revenue diversification."

Reality:

• Customer A: $400K (50% of revenue) - one person decided to leave, revenue is gone
• Customer B: $200K (25%) - actually a pilot, not contracted
• Customer C: $200K (25%) - related party (co-investor in the company)

Effective revenue: $200K Actual number of real customers: 0

How to Catch It

1. Ask for revenue breakdown by customer

   • Not just percentages - actual dollar amounts
   • Ask for contracts (redacted is fine)

2. Verify each customer independently

   • Is the company real?
   • Is the person you spoke with actually the decision maker?
   • Can they show you an actual purchase order?

3. Calculate concentration

   • If one customer is >30% of revenue, that's a red flag
   • If one person controls >50% of revenue, that's a bigger red flag

4. Ask about customer concentration in the deck

   • If founder says "diversified" but you find 60% from one customer, they lied

Lie #3: TAM Inflation

The Lie

"We're going after a $50B market" when the actual addressable market is $500M.

The TAM lie comes in several forms:

• Global TAM: "We're going after the entire healthcare market"
• Total addressable: Including markets they have no product for
• Year 5 projection: Using growth rates that assume 40% market share

The Example

"We help hospitals reduce costs. The US healthcare market is $4T. We estimate 1% of that is our addressable market = $40B TAM."

Reality:

• The "1%" is arbitrary and not justified
• They only serve small community hospitals (addressable: $20B → realistic share: $200M)
• They have no product for the other 99% they claim to be going after
• The actual addressable market for their current product: $200M

How to Catch It

1. Ask for the market analysis methodology

   • "How did you calculate the 1% figure?"
   • If they can't explain the math, it's made up

2. Research independently

   • Use IBISWorld, Statista, or industry reports
   • Find the actual market size for their specific segment

3. Ask about customer coverage

   • "What's your realistic market share in 5 years?"
   • 1% of a real market is reasonable
   • 40% of a made-up market is a lie

4. Look at comparable companies

   • What's the largest company in this market?
   • If the largest is $100M revenue and they claim $50B market, math doesn't work

Lie #4: Traction Theater

The Lie

"We have amazing traction" shown through cherry-picked metrics that don't tell the real story.

The Tactics

Vanity metrics:

• "100,000 users" but only 100 are paying
• "1M page views" but 90% is from the founder's own posts
• "Featured in TechCrunch" but it's a small mention buried on page 12

Metric manipulation:

• Showing MAU when they should show DAU
• Counting free users as "active users"
• Using "registered users" instead of "paying users"

Time period tricks:

• Showing growth from 0 to 100 users as "100x growth"
• Counting a single large customer as a "partnership" with "growth potential"

The Example

"Growing 20% MoM" shown in a hockey stick chart.

Reality:

• Month 1: 10 customers × $100 = $1K
• Month 2: 12 customers × $100 = $1.2K (20% growth on $1K)
• Month 3: 14 customers × $100 = $1.4K (20% growth on $1K)

At month 12: $8.7K ARR At month 24: $75K ARR (if growth continues)

The "20% MoM growth" is technically true but represents going from $1K to $75K in 2 years - not the $5M ARR they implied.

How to Catch It

1. Ask for the actual numbers

   • Not percentages - absolute numbers
   • "What was MRR on Jan 1 and what is it today?"

2. Get cohort data

   • New customers per month
   • Churn per month
   • Net revenue retention

3. Verify the metrics independently

   • SimilarWeb for web traffic
   • App Store data for mobile apps
   • LinkedIn for employee count

4. Ask about the metric definitions

   • "How do you define an 'active user'?"
   • "What % of registered users are actually using the product daily?"

Lie #5: The Fake Expert Team

The Lie

"We have an experienced team with deep domain expertise" - shown through stock photos and inflated titles.

The Tactics

Stock photo experts:

• "Dr. Jane Smith, former Google VP, joins as advisor" (no photo of her, no actual relationship)
• "World-class team" where the bios are mostly aspirational

Title inflation:

• "Co-founder and CEO" who was previously an "Associate Product Manager" at Google
• "10 years of AI experience" but only 2 years of actually working in the field
• "PhD from MIT" but the degree is from a non-existent online program

Advisors who don't advise:

• Famous names on the advisory board who have never spoken to the founders
• "Strategic advisor" but the person doesn't know they're listed

The Real Example

A startup had an advisory board with 3 "former Fortune 500 executives."

Reality:

• Advisor 1: The founder's dad (former accountant, not Fortune 500)
• Advisor 2: A professor who gave one lecture at their university (not an "executive")
• Advisor 3: A retired person who invested $25K (not actually working)

None of the advisors had any relevant expertise or were actually helping.

How to Catch It

1. Verify LinkedIn claims independently

   • Check employment dates
   • Verify job titles
   • Confirm they actually worked at claimed companies

2. Ask advisors directly

   • "Can I speak with your advisors about the company?"
   • If founder hesitates or says "they're very busy," they probably don't have real relationships

3. Check for consistency

   • Do advisor bios match their actual LinkedIn?
   • Are the "former Google executives" actually from Google?

4. Look for advisor agreements

   • Real advisors have formal agreements with equity or cash
   • If they can't show any documentation of the relationship, it's fake

The Soloanalyst Pitch Deck Verification

Soloanalyst's verification engine cross-references pitch deck claims against:

• Revenue data from payment processors
• Customer verification through public records
• Market size from industry databases
• Team claims against LinkedIn, SEC, and court records
• Traction claims against SimilarWeb, App Store, and BuiltWith data

Get a complete pitch deck verification score in 5 minutes.

Run a pitch deck verification →

The Red Flag Checklist

• Revenue claims verifiable via payment data?
• Customer concentration <30% per customer?
• TAM calculation methodology explained?
• Traction metrics use standard definitions?
• Team bios match actual LinkedIn?
• Advisor relationships documented?

Key Takeaways

1. Every number in a pitch deck is suspect - verify independently
2. The bigger the claim, the more scrutiny it needs - $50B markets require evidence
3. Traction theater is everywhere - define your own metrics before meetings
4. Team lies are common - never trust LinkedIn alone
5. Soloanalyst catches 80% of lies automatically - run verification before every investment

This guide is part of SoloAnalyst's due diligence framework. For automated pitch deck verification, try SoloAnalyst.