Case Study — AWS · Technology

Tech Company: Right-Sized AWS Commitment Using Cloud Benchmarks

Industry Enterprise SaaS Technology
Client Size $1.8B revenue, 4,200 employees
Commitment Value $34M AWS EDP over 3 years
Scope AWS EDP, EC2, S3, RDS, SageMaker, Support
Engagement Cloud Commitment Benchmark + EDP Structuring
$9M Over-commitment avoided
24% EDP discount achieved (vs. 17% proposed)
3yr Right-sized commitment term
$34M Final signed commitment value

Background

A high-growth enterprise SaaS company generating $1.8B in annual revenue was negotiating its first major AWS Enterprise Discount Program agreement. The company had grown its AWS spend from $4M to $28M annually over three years and was approaching the threshold at which AWS account teams transition from self-service to managed enterprise relationships with formal EDP negotiations.

AWS opened the conversation with a proposal for a $43M, three-year EDP commitment at a 17% discount across eligible services. The company's VP of Engineering and CFO were both involved given the size of the commitment — and both had different perspectives on risk. The VP of Engineering was optimistic about growth projections; the CFO was concerned about over-committing to a fixed-spend floor in a market with active multi-cloud alternatives.

The company had no internal benchmark for what comparable SaaS organizations at similar scale and growth trajectory had committed to in their AWS EDPs — or what discount rates were achievable. They engaged VendorBenchmark to benchmark the proposal before proceeding.

The Challenge

AWS EDP negotiations involve two distinct risks that exist simultaneously: paying too high a price (insufficient discount) and committing to too large a volume (over-commitment penalty risk). Most enterprises focus on the discount rate alone and miss the structural risk embedded in the commitment size. This company faced both.

What the Client Needed to Know

  • Was the 17% EDP discount rate achievable for their spend profile, or was more available?
  • What commitment size did comparable-stage SaaS companies sign at similar growth trajectories?
  • What was the downside exposure if growth slowed and they under-consumed their commitment?
  • Should SageMaker and AI/ML workloads be included in or excluded from the EDP structure?
  • How did AWS Enterprise Support pricing compare to peers — and could it be separated from the EDP calculation?
  • What did comparable companies negotiate on geographic distribution and reserved instance flexibility?

The over-commitment risk was particularly acute in this case. The company's growth had been partially driven by one major customer segment that was showing signs of contraction. If revenue growth slowed from its 40% trajectory to 15–20%, their projected AWS spend in year three would be well below the $43M commitment, triggering a financial penalty equivalent to 100% of the shortfall.

The VendorBenchmark Analysis

VendorBenchmark delivered two parallel analyses: an EDP discount benchmarking report and a commitment sizing analysis. The discount report compared the proposed 17% against anonymized EDP data from comparable SaaS companies — defined as enterprise software companies with $1–3B revenue and $20–40M annual AWS spend. The commitment sizing analysis modeled the financial exposure of various commitment scenarios against the company's actual consumption patterns and growth projections.

Key Benchmark Findings

  • EDP Discount: Comparable SaaS companies at this spend level were achieving 22–27% discounts — the proposed 17% was 6–10 points below market
  • Commitment size: 67% of comparable SaaS companies at similar growth rates signed EDPs at 80–90% of their projected spend, not 100% — preserving a buffer against growth variance
  • SageMaker/AI workloads: Benchmark showed these were commonly negotiated as a separate track with different discount structures — bundling into the base EDP diluted the effective discount on core compute
  • Enterprise Support: 11 of 18 comparable deals had Enterprise Support excluded from EDP commitment (reducing the commitment floor without reducing the discount)
  • Geographic distribution: Comparable companies secured cross-region flexibility clauses preventing AWS from locking consumption to original deployment regions
  • Ramp structure: 80% of comparable new EDPs included a consumption ramp schedule for year 1, reducing under-consumption risk in the first 12 months
"We were about to commit $43M based on our most optimistic growth scenario. The benchmark showed us that comparable companies our size were signing at $32–36M with better discounts. We restructured the entire proposal around that data. AWS was surprised we knew what we knew — that's when we understood the value of the benchmark."
— CFO, Enterprise SaaS Company

The Restructured Proposal

Based on the benchmark findings, the company counter-proposed a fundamentally restructured EDP. The new proposal addressed every gap identified in the benchmark report: the commitment size was reduced to $34M (80% of mid-range growth projection), the discount was anchored at 24% (matching the peer median), SageMaker workloads were removed to a separate AI/ML commitment track, and Enterprise Support was excluded from the commitment floor calculation.

AWS initially pushed back on the discount rate, citing the smaller commitment size as justification for a lower discount. The company responded with specific peer data points from the benchmark: that organizations with smaller commitments in comparable industry segments were achieving equivalent or higher discounts when commitment terms and structure were adjusted. This negotiating position — supported by specific, anonymized benchmark evidence — fundamentally changed AWS's approach to the conversation.

Final EDP Structure vs. AWS Initial Proposal

  • Commitment value: $34M (vs. $43M proposed) — $9M reduction in commitment exposure
  • EDP discount rate: 24% (vs. 17% proposed) — 7 percentage points improvement
  • SageMaker: Separate AI/ML commitment track with 19% discount and independent consumption tracking
  • Enterprise Support: Excluded from EDP commitment floor — valued at $1.4M/year of removed risk
  • Year 1 ramp: 70% of annual commitment in year 1, ramping to 100% in years 2–3
  • Cross-region flexibility: Unlimited reallocation of commitment across AWS regions included

Results

The signed EDP totaled $34M over three years at a 24% discount rate — versus the initial proposal of $43M at 17%. The $9M reduction in commitment value eliminates the financial exposure that would have materialized had the company's growth moderated. At the higher discount rate, the company also captures an additional $2.4M in discount value over the term relative to the initial proposal even at the lower commitment level.

Twelve months after the EDP was signed, the company's growth did moderate — AWS consumption in year one ran at approximately 85% of the reduced commitment, well within the ramp schedule the benchmark identified as standard. Under the original $43M commitment, year one under-consumption would have triggered a significant penalty. Under the restructured agreement, the company remained within tolerance.

"In hindsight, the $9M commitment reduction was the most important number. We saved $2.4M on the discount improvement too, but avoiding that over-commitment exposure when growth slowed — that's what the benchmark actually paid for."
— VP Engineering & Infrastructure, Enterprise SaaS Company

Key Takeaways

AWS EDP negotiations have two separate value levers: the discount rate and the commitment structure. Most enterprises focus exclusively on the discount and accept AWS's proposed commitment size without challenge. This case demonstrates that the commitment sizing decision carries as much or more financial risk than the discount rate — particularly for growth-stage companies with variable consumption trajectories. Benchmark data is essential for both: it establishes the achievable discount floor and provides peer evidence for commitment sizing norms at comparable growth profiles.

Organizations negotiating a first EDP or renewing an existing EDP should benchmark both dimensions simultaneously before responding to AWS's initial proposal.

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