Sales Trainings · build-vs-buy
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How do we counter the build-vs-buy objection when their engineering team insists they can build this internally in 6 months?
Build-vs-Buy Technical Objection
40w bait: Engineering always says they'll build cheaper. Counter: what's one rep's fully-loaded cost over 6 months? That's your price ceiling. They won't beat it.
Operator Play
The build-vs-buy objection is a proxy for control and technical debt. Engineering doesn't want external dependencies; sales wants faster time-to-impact.
SaaStr and Pavilion data converge: In-house builds take 8-14 months (not 6), require 2-3 headcount, and create 18+ months of maintenance burden. The true cost: $240-400k all-in.
Three-layer counter:
- Cost of delay: "If reps lose $500k in pipeline productivity while engineering builds, that's your real budget. We're 30 days to impact."
- Feature creep reality: "Internal tools always expand scope. Day 1 is forecasting. Month 3 is territory modeling, pipeline forecasting, commission calc. Scope doubles. Timeline triples."
- Maintenance tax: "Once built, you own all patches, all upgrades, all bugs. Competitors iterate while you debug. That's $80-120k/year in forever-tax."
Force the engineering conversation to the CFO level:
| Layer | Build Cost | Buy + Integrate | Winner |
|---|---|---|---|
| Development | $150k | $0 | Buy |
| Maintenance (Year 1) | $60k | $0 | Buy |
| Opportunity (6mo delay) | $500k lost productivity | $0 | Buy |
| Technical debt (Y2+) | $100k/year | Minimal | Buy |
| Total 2-Year | $810k | Software + Integration | Buy by 3x-4x |
Force Move: Offer a 30-day pilot with their data. "If we can't prove $200k in annualized productivity gain by month 1, you have a baseline for your build estimate. If we do, you have your ROI math for the executive team."
Use MEDDPICC pain anchor: The build timeline is a symptom of lack of Urgency. Raise urgency by quantifying what stays broken while they code.
flowchart TD
A["Engineering:<br/>We'll Build in 6mo"] --> B["Reframe as<br/>Cost Decision"]
B --> C["Layer 1: Dev Cost<br/>$150k"]
B --> D["Layer 2: Maintenance<br/>$60-120k/yr"]
B --> E["Layer 3: Opportunity<br/>$500k+ in Delay"]
B --> F["Layer 4: Tech Debt<br/>$100k/yr Forever"]
C --> G["Total Cost<br/>$810k+"]
D --> G
E --> G
F --> G
G --> H{"vs. Buy<br/>at $75-150k/yr?"}
H -->|"Math Clear"| I["CFO Approves<br/>Buy Decision"]
TAGS: build-vs-buy,engineering-objection,opportunity-cost,technical-debt,TCO-calculation,scoping-reality,feature-creep,maintenance-burden,ROI-timeline,MEDDPICC-application
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Sources cited
forcemanagement.comhttps://forcemanagement.com/meddpicc/salesforce.comhttps://www.salesforce.com/blog/meddpicc/bvp.comhttps://www.bvp.com/atlas/state-of-the-cloud-2026joinpavilion.comhttps://www.joinpavilion.com/compensation-reportbridgegroupinc.comhttps://www.bridgegroupinc.com/blog/sales-development-reportgartner.comhttps://www.gartner.com/en/sales/research⌬ Apply this in PULSE
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