All posts
Industry NewsRestaurant Tips

I Talk to Enterprise Restaurant Operators Every Day. Here's the $3.8M Mistake They're All Making.

In the last 12 months, I've had the same conversation hundreds of times. The operator knows they're overpaying DoorDash. They've done the math. And then they say: 'But our customers are on DoorDash.' That sentence is the most expensive assumption in the restaurant industry.

W
William Doodnauth
March 27, 2026

In the last twelve months, I have had the same conversation hundreds of times. The operator — usually a VP of Digital, sometimes a CFO, occasionally a CEO — leans forward and says something I can now predict word for word:

"We know we're overpaying DoorDash. We've done the math. But our customers are on DoorDash."

That sentence — "our customers are on DoorDash" — is the most expensive assumption in the restaurant industry. It costs enterprise operators between $1.4 million and $40 million over three years, depending on scale. And it is almost always wrong.

I'm William Doodnauth, CRO & Co-Founder of OPA!. Before this, I spent a decade at KPMG, EY, and PwC doing finance transformation for global enterprises — CFO and CEO advisory on capital markets strategy. I learned to recognize structural mistakes when they're repeated at scale. And what I see in the restaurant industry is a structural mistake worth billions.

The Pattern I See Every Week

When I sit across from an enterprise operator, three things are almost always true:

  • They know the per-order commission number. They can tell you it's 28%, or 30%, or "somewhere in the twenties." They know it's high.
  • They have never calculated the 3-year number. The aggregate — the actual dollar amount that leaves their business over 36 months — has never been computed. Because platforms report per-transaction, not in aggregate. The total is deliberately invisible.
  • They have never stress-tested the "our customers are on DoorDash" assumption with data. They believe it because it feels true. It has never been validated. And it is the single most expensive unvalidated assumption in their business.

At PwC, if a CFO told me they were making a multi-million dollar capital allocation based on an assumption they'd never tested, I would have flagged it as a material risk. In the restaurant industry, this assumption governs billions in annual spending — and nobody flags it.

The 3-Year Number Nobody Calculates

Let me force this math into full view. These are three operator profiles drawn from real OPA! sales conversations in the last six months. The numbers are representative, not hypothetical.

Profile A — Regional QSR (25 Locations)
MetricValue
Locations25
AOV$22
Orders/day/location25
Commission Rate28%
Monthly Bleed$115,500
3-Year Bleed$4,158,000
Profile B — Fast Casual (50 Locations)
MetricValue
Locations50
AOV$35
Orders/day/location20
Commission Rate30%
Monthly Bleed$315,000
3-Year Bleed$11,340,000
Profile C — Enterprise QSR (150 Locations)
MetricValue
Locations150
AOV$28
Orders/day/location30
Commission Rate30%
Monthly Bleed$1,134,000
3-Year Bleed$40,824,000
Profile C — Enterprise QSR, 150 locations: $1,134,000/month. $13,608,000/year. $40,824,000 over 3 years. Forty million dollars. Gone.
Based on 30 orders/day, $28 AOV, 30% commission rate.

These are not projections. These are arithmetic. Multiply your locations by your daily orders by your AOV by your commission rate by 30 days. That's your monthly bleed. Multiply by 36. That's your three-year number. It is, in every case I've seen, larger than the operator expected. Usually by a factor of two.

Commission Bleed Over 3 Years by Operator Size
$4.16M
Profile A (25 loc)
Gone. Every year.
$11.34M
Profile B (50 loc)
Gone. Every year.
$40.82M
Profile C (150 loc)
Gone. Every year.
Commission to DoorDash
$0 on OPA!
The longer you wait, the more is gone.

On OPA!, all three profiles pay $0 in commission. The subscription cost for Profile C — 150 locations at $65/month — is $9,750/month. $117,000/year. $351,000 over three years. The delta: $40,473,000.

Why "Our Customers Are on DoorDash" Is a Self-Fulfilling Prophecy

This is the psychological mechanism that costs operators more than any fee structure. Let me break down how it works:

Customers use DoorDash because their favorite brands are there. Not because they love DoorDash. Customer loyalty in delivery is to the restaurant's food — not to the platform's app. Research from Technomic shows that 72% of delivery customers say the restaurant brand is more important than the platform in their ordering decision. They open DoorDash because it's the most convenient path to the food they already want.

When a brand launches a first-party channel on OPA! — with in-store pricing, zero fees, and native loyalty rewards — customer migration happens faster than every operator expects. Because you're not asking customers to switch platforms. You're offering them the same food, at a lower price, with rewards. The rational choice is obvious.

The Cycle That Costs You Everything
THETRAP1Restaurant joins DoorDash2Customers order on DoorDash3Restaurant believes custom...4Restaurant stays on DoorDash5DoorDash raises commissionFirst-party channel breaks the cycle

The assumption that customers are "locked in" to DoorDash is the platform's most powerful retention mechanism. It is not a data-driven conclusion. It is an unvalidated belief that costs restaurants millions to maintain. And every month you don't test it is another month of margin permanently lost.

What Happens When You Stop Believing the Lie

A national sandwich brand — over 140 locations — had been on DoorDash for three years. Their VP of Marketing made the decision to pilot OPA! alongside DoorDash, shifting 30% of their delivery volume to a first-party channel.

Within 60 days, they had built a database of over 12,000 first-party customer profiles they had never had access to. Names, emails, order histories, preferences — data that had been sitting inside DoorDash's systems for three years, invisible to the brand that earned it.

Their marketing team ran a single re-engagement campaign — a "We miss you" email to customers who hadn't ordered in 30+ days, with a $5 loyalty reward.

$140K
Incremental Revenue in 90 Days
12,000
First-Party Profiles Built
1
Campaign. That's All It Took.

$140,000 in incremental revenue in 90 days. From one campaign. Using data they finally owned. Not from acquiring new customers — from reactivating customers they already had but could never reach because DoorDash was sitting on the data.

The CRO's Recommendation: Three Things to Do This Quarter

I come from a world where CFOs make capital allocation decisions based on validated data, not assumptions. The restaurant industry deserves that same standard. Here is what I recommend to every enterprise operator I talk to:

01
Run the 3-Year Bleed Calculation
Pull your DoorDash statements. Multiply locations × orders × AOV × rate × 36 months. Or use the OPA! commission bleed calculator. Look at the number. Don't look away.
02
Audit Your Customer Data Ownership
Count the customer profiles you actually own — with email, order history, and preferences. Compare that to your total delivery customer count. The gap is what DoorDash is keeping from you.
03
Run One First-Party Channel Pilot
Before committing to any long-term conclusion, run a 90-day pilot on OPA!. 48-hour integration. Zero commission. Measure the data, the customer migration, and the revenue. Let the math decide.

The data is clear. The math is unambiguous. The only question is whether you'll look at it.

I've sat across from hundreds of operators who already knew the answer before I showed them the numbers. They knew they were overpaying. They knew the assumption was untested. They just hadn't been given a reason to move — because nobody had shown them what the alternative actually looks like.

Now they have. 2,400+ locations across 50 states are live on OPA!. Zero commission. 48-hour integration. First-party data from day one.

The $3.8M mistake is optional. It always was.

"I come from a world where CFOs make decisions based on data, not assumptions. The restaurant industry deserves the same standard. The data is clear. The question is whether you'll look at it."
— William Doodnauth, CRO & Co-Founder, OPA!

See how OPA! serves your specific segment. OPA! for QSR · OPA! for Fast Casual · OPA! for Pizza