Why VARs Leave 2–4 Points of GP on Every Deal (And How to Calculate Your Own Margin Leakage)

The Math Nobody Does

Here's a number most VAR executives have never calculated: take your annual product revenue, multiply it by two percent, and stare at it.

At $200M in annual revenue, 2 points is $4M in gross profit. Not revenue — profit. Money you left on deals you already won, with customers who already said yes, on products you already shipped. It didn't go to a competitor. It was lost in the gap between instinct and information.

At $500M, it's $10M. At a billion, it's $20M. And two points is conservative. Channel practitioners, pricing consultants, and the exposed pricing that occasionally surfaces in competitive debriefs consistently point to the same range: 2–4 points for most mid-market VARs. That puts a $300M reseller’s annual margin leakage somewhere between $6M and $12M.

This isn't a rounding error. It's a mid-six-figure sales hire you could make every quarter. It's the difference between hitting plan and missing it. And the reason it persists isn't that VARs are bad at selling — it's that they've never built the instrumentation to see it.

Margin leakage is the gap between what you actually priced on your won deals and what you could have priced without losing them. It's invisible by default because you only see the deals you won at the prices you quoted. You never see the higher price the customer would have accepted. The gap lives in a blind spot, and most sales orgs have never pointed a flashlight at it.

The Four Sources of Margin Leakage

Margin doesn't leak from one giant hole. It leaks from four smaller ones, each of which is individually easy to dismiss and collectively devastating to your P&L. The estimates below aren't precise measurements — they're order-of-magnitude models based on the structural dynamics described in each section. Your actual number depends on your deal mix, team tenure, and pricing process.

This is the biggest single source of margin leakage at most VARs, and it's the most frustrating because it's entirely addressable.

A sole-source deal is one where no other reseller is bidding. You're the only game in town — maybe because you hold the contract vehicle, maybe because you're the incumbent and the customer's procurement team has waived the three-bid requirement, maybe because you've built a relationship so deep that the customer doesn't want to run a process. Whatever the reason, you have pricing power. There is no competitor to undercut you.

And yet, reps routinely price sole-source deals as if CDW is lurking around the corner. A rep who would confidently quote 8% on a competitive Cisco deal will quote 9% on a sole-source Cisco deal at the same account. The incremental markup for having zero competition? One point. Maybe two. On a deal that could comfortably carry 15–20%.

Why does this happen? Three reasons. First, reps are trained to be afraid of price. Every lost deal that gets blamed on price — whether or not price was actually the reason — reinforces the instinct to go low. That instinct doesn't turn off when competition disappears. Second, most CRMs don't flag whether a deal is sole-source or competitive, so the rep's pricing behavior isn't differentiated by deal type. Third, there's no ceiling guidance. Reps know the floor — "don't go below 5%" — but nobody tells them the ceiling for a sole-source deal is 18–22% on hardware and 30%+ on services. Without a ceiling, they anchor to whatever feels safe.

The math on this one is straightforward. If roughly 25% of your deals are functionally sole-source and you're underpricing them by an average of 5 points, that works out to 1–1.5 points of blended margin leakage across your entire book. On a $300M book, that's $3–4.5M per year from this single source alone. These are modeled estimates, not precise measurements — your actual number depends on your deal mix and how aggressively your reps are already pricing sole-source opportunities.

Every VAR has experienced this: a new rep joins, inherits a book of business, and immediately starts quoting at the low end of whatever range they're given. They don't know the accounts. They don't know which customers are price-sensitive and which ones value the relationship. They don't know that the F5 rep at this particular account has been trying to displace Palo Alto for two years and will fund aggressive pricing, or that this customer's procurement team has never pushed back on anything below 14%.

Without that context, new reps do the rational thing — they price conservatively to avoid losing deals while they're learning. The problem is that "learning" takes 6–12 months, and during that ramp period, every deal is priced 2–4 points below what an experienced rep at the same account would quote.

This isn't a training failure. It's an information failure. The competitive context that veteran reps carry in their heads — which accounts are price-sensitive, which OEMs have aggressive displacement programs, which competitors are active in which territories — doesn't transfer when a rep leaves or a territory gets reassigned. It walks out the door, and the new rep starts from scratch.

At a mid-market VAR with 15% annual rep turnover and a 9-month ramp, roughly 10–15% of your revenue at any given time is being priced by someone who lacks the account-level context to price it well. If that cohort is leaving 3 points on the table relative to tenured reps, that's roughly half a point of blended margin leakage across the business. Smaller than Source 1, but persistent and structural.

If you're already convinced and want to calculate your own number, skip to the 90-minute self-assessment below. Otherwise, here are two more leakage sources worth understanding.

Pull up your last 50 won deals on Dell PowerEdge servers in competitive situations. Sort by gross margin percentage. You'll see a spread that should concern you.

At most VARs, the delta between the highest-margin rep and the lowest-margin rep on the same product category, in the same deal type, in the same competitive environment, is 4–8 points. Your best rep is winning Dell server deals at 12% markup. Your worst rep is winning them at 5%. Both are selling the same product to similar customers against similar competitors.

Some of that variance is legitimate — different accounts, different competitive dynamics, different deal sizes. But a significant portion of it is noise. It's one rep who always prices at 7% because that's what worked the first time and she never tested higher. It's another rep who rounds to the nearest 5% because he doesn't want to overthink it. It's a third rep who always matches whatever the customer's "target price" is without questioning whether that target has any basis in reality.

The gap between your org's average margin and your top-quartile reps' average margin is the clearest measure of pricing inconsistency. If your org averages 8.5% on competitive hardware deals and your top-quartile reps average 11.2%, that 2.7-point delta is margin that your best reps prove is capturable. The rest of the team just isn't capturing it.

This is the leakage source that scales most directly with team size. The more reps you have, the more variance you have, and the more gross profit dollars fall through the cracks. A 40-rep sales org with a 3-point consistency gap across the team is leaking far more in absolute dollars than a 10-rep org with the same gap.

For a deeper dive on building margin-by-rep reports in Salesforce, see The Five Margin Reports Every VAR Should Build.

Here's a question: when a rep wins a deal at 7% markup, does anyone go back and analyze whether 9% would have also won?

At virtually every VAR, the answer is no. Teams celebrate won deals and forget them. Lost deals are debriefed, sometimes, with a focus on "what went wrong" rather than "what does this tell us about the market-clearing price." The result is that the pricing decision on Deal #1,001 is made with the same quality of information as the decision on Deal #1. There's no learning curve because there's no learning infrastructure.

A functioning feedback loop would work like this: after every won deal, log the winning markup, the deal type, the OEM, the competitors (if known), and the customer segment. After every lost deal, log the same data plus whatever you can learn about the winning price from the customer or the OEM. Over time, this creates a dataset that answers the question every rep is guessing at: "For this type of deal, against these competitors, at this customer, what markup range wins?"

Without that loop, every rep is making independent, isolated pricing decisions based on their personal experience and instinct. Institutional knowledge doesn't accumulate. The same pricing mistakes get repeated across reps and across quarters. And the margin stays flat year after year, even as the rest of the sales process gets more sophisticated.

The feedback loop gap doesn't have a clean margin-point estimate because its effect is diffuse — it amplifies all three other sources of leakage. But it's the reason those sources persist. Fix the feedback loop and the other three start to self-correct.

At minimum, fixing the feedback loop means adding three fields to your CRM opportunity object: competitive situation (sole-source, 2-bid, or 3+ bid), known competitors by name, and a post-close margin assessment — a simple dropdown asking "could we have priced higher on this deal?" with options: definitely yes, probably yes, priced correctly, or priced too high.

The post-close field is the one that matters most. When a rep closes a deal at 8% and checks "definitely yes — could have priced higher," that's a data point you can use in their next deal review. When you aggregate those fields across your team, you get an org-wide picture of pricing confidence: what percentage of your won deals were priced at the maximum the market would bear, and what percentage left money on the table?

Run a monthly pricing retrospective with your top 3 and bottom 3 margin deals. Not a full deal review — a 30-minute session where you look at the deals with the widest gap between actual margin and what the data suggests was achievable. Pull the competitive situation, the customer's historical price sensitivity, and whether deal registration was in place. The patterns will emerge within two months: specific reps who consistently underprice sole-source deals, specific OEMs where the team is leaving points on the table, specific account types where you're more aggressive than you need to be.

The feedback loop doesn't require new technology. It requires three CRM fields, one 30-minute monthly meeting, and a willingness to ask "could we have priced this higher?" after every win. Most VARs never ask that question because won deals feel like success. But a won deal at 7% when the market would have paid 11% is not a success — it's $40,000 in gross profit you'll never get back on a $1M deal.

What Comes After the Number

Calculating your margin leakage is step one. The number is useful because it creates urgency — it's hard to ignore a seven-figure gap once you've seen it in your own data. But the number alone doesn't fix anything.

What fixes it is building the infrastructure that addresses each of the four leakage sources directly: ceiling guidance on sole-source deals so reps stop pricing scared when nobody's bidding against them; structured context transfer for new reps so they inherit pricing intelligence along with the territory; standardized deal review that reduces rep-to-rep variance by holding every quote to the same analytical framework; and a closed-loop system that feeds won/lost outcomes back into future pricing decisions.

None of that requires a radical transformation of your sales process. It requires treating the pricing decision with the same discipline you already apply to pipeline management, forecasting, and territory planning. The difference is that pipeline management determines whether you win deals. Pricing determines how much you make when you do.

From the team at MarginArc — margin intelligence for the IT channel.