Win/Loss Forensic Synthesis

9 Deals. $3.239M Analyzed. The Evidence for What Must Change.

Q4 2025 + Q1 2026 · 5 Lost Deals ($1.925M) + 4 Won Deals ($1.314M) · Prepared for the ELT

9
Deals Analyzed
$3.2M
Total Pipeline
5
Lost ($1.93M)
4
Won ($1.31M)

Data Transparency

How confident are the conclusions? Every claim is tagged by evidence quality.

Tier 1 High Confidence

Recorded calls with Grain AI notes, CRM data, and either verified debrief or active engagement. 4 deals: Global Payments, Vimeo, Fenergo, Check Point.

Tier 2 Directionally Strong

Partial call documentation (typically 2 of 3-8 calls captured), CRM data, no verified debrief. Gaps exist in the middle of each sales cycle. 5 deals: First Advantage, JFrog, Postman, Contentful, WP Engine.

CRM Only Low Confidence

AE self-reported in HubSpot. 4 of 5 loss reasons were wrong or misleading. CRM data is the weakest evidence layer.

Verification Sources

Data PointSourceConfidence
Grain call notesAI-generated summaries from recordingsMedium Not verbatim transcripts. Key quotes may be paraphrased.
CRM loss reasonsAE self-reported in HubSpotLow 4 of 5 were wrong or misleading.
ICP revenue dataPublic filings + Latka/Sacra estimatesHigh for public companies. Medium for private. HubSpot data was wrong for 5 of 10.
Verified debriefsDirect conversation with buyer post-lossHigh But only First Advantage has one.
Won deal financialsSOW values from HubSpotHigh

Executive Headline

WbD's consulting model works at full deployment, and fails everywhere else. Across 9 deals totaling $3.2M, the pattern is unambiguous: when WbD deploys a multi-person team, runs 10+ calls, embeds in technology, and solves the buyer's actual business problem with data, it wins (Global Payments $414K, Fenergo $290K). When WbD sends a solo AE with a methodology pitch and an all-or-nothing proposal, it loses (WP Engine $250K, Postman $375K, Contentful $400K). The five lost deals were not unwinnable markets. They were winnable deals that received the wrong selling motion. Meanwhile, the product gap the losses reveal, AI-powered SPICED at scale, is already being built. Value Selling shipped Val and took a $500K deal. Global Payments is assembling the same capability manually inside Gong Enable. CData built SPICED analytics in Claude without WbD's involvement. The methodology's AI layer will exist within 12 months. The only question is whether WbD owns it or watches competitors and customers build it without them.

The Data Set

All 9 deals analyzed, with outcomes and evidence quality.

Deal Value Owner Outcome Evidence
First Advantage $500K Dan Smith Lost to Value Selling (Val AI) Tier 2 Verified debrief with Ann + 3 recorded calls + CRM
JFrog $400K Mike Boogaard Lost "preferred MEDDIC more central" Tier 2 2 of 5 calls documented + CRM
Postman $375K Dan Smith Lost "requirements changed" Tier 2 2 of 3 calls documented + CRM. 39-day gap undocumented.
Contentful $400K Rachael Smith Lost to Sandler (CRO relationship) Tier 2 2 of 8 calls documented + CRM. Sandler known 3 weeks before loss.
WP Engine $250K Dan Smith Lost "price about triple" Tier 2 2 calls documented + CRM
Global Payments $414K Dan Smith Won multi-SOW expansion Tier 1 Multiple recorded calls + active engagement
Vimeo $134K Betsy Peters Won implementation stalled Tier 1 Multiple calls + detailed implementation notes
Fenergo $290K Mike Boogaard Won land-and-expand Tier 1 10+ calls documented + SOW progression
Check Point $175K won / $295K lost Mike Boogaard Split bought IP, built labor in-house Tier 1 Won engagement documented. Lost scope is CRM-only.

1 The Product Gap

Every lost deal surfaced the same structural limitation from a different angle.

What the 5 Losses Needed

Lost DealWhat They NeededThe Gap
First Advantage ($500K) T2 AI agent to certify 551 reps on new product launches at scale No AI certification product. Val won.
JFrog ($400K) T2 SPICED integrated inside their existing MEDDIC architecture No MEDDIC integration product. Cosmetic relabeling failed.
WP Engine ($250K) T2 Foundational enablement for 500 reps at ~$200/seat No scalable digital delivery. Price was 3x competitor.
Postman ($375K) T2 Revenue Architecture for 700-person GTM org, ready for Feb SKO No mutual action plan. CRO left. 39 days silence.
Contentful ($400K) T2 Skills reinforcement on existing Command of the Message + MEDDIC No "skills-only" offering. Pitched methodology to a buyer who said "no new methodology."

What the 4 Wins Did Right

Won DealWhat WorkedWhy
Global Payments ($414K) T1 SPICED embedded in Salesforce + Gong + Gong Enable. AI scorecards. Technology integration created switching costs. SPICED is infrastructure, not training.
Fenergo ($290K) T1 ICP analysis, motion validation, revenue risk modeling. Solved the actual business problem with evidence, not philosophy.
Vimeo ($134K) T1 SPICED/MEDPIC integration. Standalone Sales Ready Messaging. Crawl-walk-run. Coexisted with existing methodology. Matched the buyer's chaos.
Check Point ($175K) T1 Specialized SKO breakouts with MEDIC integration. Modular, not monolithic. Bought the IP they couldn't build. Built the generic training in-house.

The Product-Market Fit Thesis

  1. WbD's consulting model works for companies that will invest $200K+ and accept 10+ touchpoints. Fenergo and Global Payments prove this. The methodology is sound. The diagnostic depth is genuinely valuable.
  2. WbD has no product for companies that need methodology at scale, at lower price points, or integrated with existing frameworks. WP Engine needed $200/seat for 500 people. First Advantage needed AI certification for 551 people. JFrog needed SPICED inside MEDDIC. These are real markets with real budgets.
  3. The AI product thesis is already being validated by others. Value Selling shipped Val and won $500K at First Advantage. Global Payments is assembling SPICED-in-Gong-Enable by hand. CData built SPICED analytics in Claude. The market is building AI-powered methodology tools. WbD is watching.

2 Two Selling Motions

WbD is running two fundamentally different selling motions simultaneously. Only one of them wins.

The Boogaard Motion (Wins)

ElementEvidence
Team size4 people on Fenergo (Boogaard, Gordillo, Barber, Liem). 4+ on Check Point. T1
Call volume10+ calls on Fenergo. 10+ on Check Point. Weekly syncs. T1
ApproachData-driven diagnostic. ICP analysis, revenue risk modeling, motion validation. Solves the business problem, then proposes methodology. T1
Stakeholder depth6 stakeholders at Fenergo. 13+ at First Advantage finalist presentation. T1
PhasingSOW1 ($120K) earns SOW2 ($170K) at Fenergo. SKO v1 earns SKO v2 + Bangkok at Check Point. T1
MEDDIC handlingAt Check Point, MEDIC explicitly positioned alongside bow-tie (Jan 29 call). Integration, not hierarchy. T1
OutcomeFenergo: $290K won. Check Point: $175K won.

The Other Motion (Loses)

ElementEvidence
Team sizeSolo AE on WP Engine (Dan Smith). Solo on Postman (Dan Smith). Solo + inactive AE on Contentful (Rachael Smith). T2
Call volume2 calls on WP Engine (19 days). 2 calls on Postman (39-day gap). 2 documented of 8 on Contentful. T2
ApproachMethodology pitch. Lightboard presentation on SPICED/bow-tie. Comprehensive proposal. T2
Stakeholder depth3 stakeholders at WP Engine. 2 at Postman. 7 at Contentful (Dec 5 only). T2
Phasing$344K single proposal at WP Engine (no entry ramp). $375K single proposal at Postman. $400K CKO + quarterly at Contentful. T2
MEDDIC handlingAt JFrog, SPICED positioned above MEDDIC, then hidden behind MEDDIC labels. At Contentful, pitched bow-tie OS to a buyer who said "no new methodology." T2
OutcomeWP Engine: lost. Postman: lost. Contentful: lost.

The Exception: Betsy Peters at Vimeo Tier 1

Betsy's Vimeo win ($134K) followed neither motion exactly. She read the room (internal chaos, MEDPIC entrenchment, regional misalignment) and adapted: skills-focused delivery, standalone assets (Sales Ready Messaging), crawl-walk-run timeline, architectural SPICED/MEDPIC integration instead of hierarchy. This was improvisation by an experienced deal owner, not an organizational playbook. The Vimeo approach is replicable only if it is productized; currently, it lives in Betsy's judgment.

What Correlates with Wins

  1. Number of WbD team members on the deal. Wins averaged 4. Losses averaged 1-2.
  2. Number of calls before proposal. Wins had 5+ discovery/diagnostic calls. Losses had 1-2.
  3. Whether the proposal was phased. Every win had a Phase 1 / Phase 2 structure. Every loss was all-or-nothing.
  4. Whether WbD solved a business problem or pitched a methodology. Fenergo got revenue risk analysis. WP Engine got a SPICED presentation.

3 The MEDDIC Architecture

Three deals tested MEDDIC coexistence. The outcomes diverge sharply.

Vimeo: Worked

$134K Won

Tier 1

  • SPICED role: Seller skills (questions, discovery, qualifying pain and impact)
  • MEDPIC role: Complex buyer journey navigation, forecasting, deal management
  • Integration point: Use EDDPC from MEDPIC. Exclude M and I (already covered by SPICED).
  • Diagnosis: Identified MEDPIC was "imperfect, filling out fields without understanding." SPICED fixes the inputs.

Why it worked: Genuine architectural specificity. Neither methodology on top. Clear boundaries.

JFrog: Failed

$400K Lost

Tier 2

  • Call 1 (Jul 21): "SPICED is the operating system with MEDDIC fitting inside." Hierarchy claim.
  • Aug 12: Stronger. "SPICED serves as the mechanism to achieve MEDDIC criteria." Cited DocuSign study. Right framing.
  • Call 5 (Oct 2): Under pressure from Christian Arrigo's prior negative WbD+MEDDIC experience, retreated to "content SPICED-based in LMS but training references MEDDIC, avoids direct SPICED terminology." Cosmetic relabeling.

Why it failed: Aug 12 positioning was correct but could not withstand challenge from a skeptic with firsthand evidence of prior WbD failure.

Contentful: Ignored

$400K Lost

Tier 2

  • Running Command of the Message Light + MEDDIC.
  • Explicitly said: "NOT looking to introduce new methodology. Goal is to reinforce existing framework."
  • WbD pitched the bow-tie operating system with 3 role-based tracks, effectively ignoring the constraint.
  • The CRO wanted uniform skills training. Sandler's consistent-methodology-across-all-roles model aligned with his stated preference.

Why it failed: The buyer said "reinforce what we have." WbD said "here is something new."

What "MEDDIC Powered by SPICED" Must Look Like

  1. Never claim hierarchy. SPICED and MEDDIC operate at different layers. Neither is subordinate.
  2. Be architecturally specific. "Use EDDPC from MEDDIC. Exclude M and I because SPICED covers Metrics (through Impact) and Identify Pain (through SPICED Pain)."
  3. Diagnose the existing methodology's weakness. Validate the buyer's investment while showing where SPICED adds value.
  4. Deliver standalone assets that work within the existing framework. Sales Ready Messaging, question cards, pocket stories. SPICED thinking without SPICED branding.
  5. This needs to be a product, not improvisation. The Vimeo architecture was Betsy Peters' judgment in real time. There is no "MEDDIC Integration Playbook" in WbD's catalog.

4 The ICP Paradox

WbD's consulting model wins above its own ICP and loses within it.

Won Deals: ICP Breakdown

6 of top 10 won deals are above ICP (>$2B)

Lost Deals: ICP Breakdown

5 of 5 lost deals are within ICP ($50M-$2B)

Lost Deals: All In ICP ($50M-$2B)

DealRevenueIn ICP?
First Advantage$1.57BYes
JFrog$532MYes
WP Engine~$400MYes
Postman~$313MYes
Contentful~$219MYes

Won Deals: Mostly Above ICP

DealRevenueICP Status
Global Payments$9.3BAbove
Teleperformance$10.2BAbove
Hexagon$5.9BAbove
Duracell$2-3BAbove
Check Point$2.73BAbove
Canva$3.5BAbove
Vimeo~$417MIn ICP
Fenergo~$163MIn ICP
Infinx~$170-200MIn ICP

The Paradox in One Sentence

WbD defined its ICP as $50M-$2B, but its delivery model is priced and staffed for $2B+ enterprises.

Either the ICP definition is wrong (WbD's real ICP is $2B+), or the delivery model needs a new tier for the $50M-$2B segment. The five lost deals suggest the second interpretation. These were real buyers with real budgets and real problems SPICED solves. The model, not the market, was the mismatch.


5 CRM Tells the Wrong Story

4 of 5 CRM loss reasons were wrong or materially misleading.

DealCRM Loss Reason CRMWhat Actually Happened Forensic
First Advantage "Sandler or Value Selling, incumbent from Sterling" Sandler was "super outdated" and eliminated early. Value Selling won on Val (AI agent), not incumbency. Pricing was equivalent across all vendors. The CRM framed this as an incumbent legacy fight; it was actually an AI product competition.
JFrog "Preferred MEDDIC more central to training" A surface-level attribution hiding 4 deeper factors: (1) prior failed WbD implementation with a key stakeholder, (2) JFrog already building MEDDIC into Salesforce before WbD entered, (3) WbD proposed methodology when JFrog needed forecast accuracy, (4) cosmetic relabeling signaled desperation.
Postman "Requirements changed" Requirements did not change. The CRO went on paternity leave. No bridge plan existed. 39 days of silence followed. No evidence of any scope or strategic change. This is a polite CRM euphemism for "the deal died of neglect."
WP Engine "Price about triple similar competitor" Accurate on the surface but incomplete. Pipeline was $250K; proposal was $344K (38% over WbD's own estimate). No phased option offered. No scope negotiation occurred. The deal died in 3 days with no counter. The price was wrong because the packaging was wrong.
Contentful "CRO had longstanding Sandler relationship, shaped the brief" Most accurate of the five, but incomplete. Rachael knew about Sandler 3 weeks before the loss (Katie told her Nov 19). No counter-strategy was executed. WbD pitched a bow-tie OS to a buyer who explicitly said "no new methodology." The relationship was deterministic, but the positioning mismatch made it easy for the CRO to justify Sandler on substance, not just loyalty.

What the ELT Sees vs. What Actually Happened

If the ELT reads the CRM at face value:

  • One price loss
  • One methodology preference
  • One requirements change
  • One incumbent relationship
  • One competitor win

Five different problems suggesting five different fixes.

What the forensic evidence actually shows:

One systemic problem manifesting five ways. WbD has a single delivery model (high-touch consulting) that cannot flex for scale buyers (WP Engine), methodology-entrenched buyers (JFrog, Contentful), AI-demanding buyers (First Advantage), or time-constrained buyers (Postman). The CRM obscures this pattern because each AE picked a different dropdown reason for the same structural failure.


The Case for SPICED AI

The evidence from all 9 deals converges on a single product thesis.

Evidence 1: Val Beat WbD at First Advantage ($500K) T2

Value Selling's AI agent Val was "the deciding factor" in a $500K deal. Val could "certify entire GTM org on new product launches at scale." WbD positioned AI as a feature within training. Value Selling positioned AI as the product. For a 551-person post-M&A org, the AI product won.

Evidence 2: Global Payments Is Building It Manually ($414K) T1

WbD's largest customer is assembling the SPICED AI product by hand: Gong Enable uses real call recordings to create AI training environments. SPICED scorecards evaluate reps against methodology criteria automatically. Enable creates certification paths from actual customer conversations. This is bespoke systems integration costing $414K. A productized version would be deployable at any Gong customer in weeks, not months.

Evidence 3: WP Engine Needed $200/Seat, Not $13,760/Seat ($250K) T2

WP Engine asked for SPICED by name. 500 CS reps. Entry-level. Needed foundational methodology at scale. WbD's only option: $344K comprehensive consulting for 25 people. At $200/seat for 500 reps, SPICED AI captures $100K, within WP Engine's budget, competitive with the alternative, and scalable to the full org.

Evidence 4: CData Built SPICED Analytics in Claude T2

A customer built SPICED-powered analytics using Claude (Anthropic's AI) without WbD's direct involvement. The methodology's intellectual property is accessible enough that technically sophisticated buyers can reconstruct it in AI tools. This is simultaneously a validation of the methodology's power and a warning that the IP is not defensible without a product wrapper.

Evidence 5: Check Point Bought IP, Built Labor ($175K won / $295K lost) T1

Check Point paid $175K for the specialized, methodology-integrated SKO content and $40K for an IP license. They built the other $295K of generic training in-house, despite their own data showing "10 training sessions, 68 hours, zero performance change." Buyers want the IP. They will build the delivery themselves. A SPICED AI product is the IP delivered at scale without requiring human consulting labor.

Evidence 6: Contentful CRO Built a DIY Framework in ChatGPT T2

Contentful's CRO "recently created a call structure framework using ChatGPT." Executives are already using AI to build methodology tools. They will either build them on SPICED (if WbD provides the platform) or on generic principles (if WbD does not).

The $200/Seat Math

Lost DealRepsAt $200/seatvs. Lost RevenueCaptures?
First Advantage 551 $110K vs. $500K lost PARTIAL. Competes with Val, may not win alone. Needs AI certification feature.
JFrog 160 $32K vs. $400K lost PARTIAL. Entry point. Needs MEDDIC-native integration. Upsell to consulting.
WP Engine 500 $100K vs. $250K lost YES. Exactly their budget range. Foundational methodology at scale.
Postman 700 $140K vs. $375K lost PARTIAL. Entry point while CRO is away. Self-serve. Bridge the gap.
Contentful ~200 (est.) $40K vs. $400K lost PARTIAL. Skills reinforcement without methodology branding. "Boil the frog."

Conservative estimate: $200/seat SPICED AI captures $100K-$422K across the 5 lost deals depending on feature depth. It does not replace the consulting model for Fenergo/GPN-style engagements. It creates a new market tier that does not currently exist.

Potential Revenue at $200/Seat


What Should Change

Three tiers of action, ordered by strategic impact.

Tier 1: Fund SPICED AI (Product)

A technology-delivered SPICED experience that lives inside existing tools (Gong, Salesforce, LMS platforms). Val already exists at Value Selling. GPN is building it manually. The market will not wait.

  • AI Certification Engine for reps at scale (the Val equivalent that lost First Advantage)
  • MEDDIC-Native Mode integrated architecturally, not positioned above it (the product JFrog needed)
  • Gong Enable Integration with SPICED scorecards and coaching scenarios (what GPN is building manually)
  • Standalone Assets at Scale deliverable digitally to 500+ reps (what WP Engine needed)
  • Skills-Only Surface delivering SPICED thinking without SPICED branding (what Contentful needed)
  • Price point: $150-$250/seat/year. Creates a $50K-$150K entry tier for $50M-$2B ICP.

Tier 2: Standardize the Selling Motion (Process)

What must change in how WbD sells, based on the evidence.

  • Minimum team size on deals >$200K. No solo AE on quarter-million-dollar opportunities.
  • Mandatory phased proposals. Every proposal >$100K must include a Phase 1 entry ramp.
  • MEDDIC Integration Playbook. Standard architecture document for every MEDDIC/MEDPIC prospect.
  • Mutual Action Plan requirement. Written MAP with dates, owners, and decision milestones for every deal over $100K.
  • Competitive intelligence in discovery. Standard question in every first call about prior vendor relationships.

Tier 3: Fix the Data (CRM + Loss Debriefs)

CRM data is actively misleading leadership. 4 of 5 loss reasons were wrong.

  • Mandatory post-loss debrief within 14 days. Only First Advantage had a verified debrief.
  • CRM loss reason taxonomy overhaul. Replace vague dropdowns with structured fields: Did we reach the economic buyer? Did we propose phased options? Was there a competing methodology? What did the competitor offer?
  • ICP revenue validation. HubSpot revenue data was wrong for 5 of 10 companies. WP Engine listed at $10B (actual: ~$400M). Implement automated revenue enrichment for deals >$100K.

Top 10 Quotes

The most powerful verbatim statements across all 9 deals. Grain quotes are AI summaries, not raw transcripts. Exact wording may be paraphrased, but substance is verified.

01

"Val was the deciding factor."

Ann, First Advantage (verified debrief) Tier 1

The single most important data point in the entire analysis. An AI agent decided a $500K deal.

02

"Val could certify entire GTM org on new product launches at scale."

Ann, First Advantage (verified debrief) Tier 1

This is what WbD cannot do today and what SPICED AI must do tomorrow.

03

"Confusing due to WbD's inexperience with MEDDIC."

Christian Arrigo, JFrog (Call 5) Tier 2

A prior customer's verdict on WbD's MEDDIC integration capability. This is not a positioning problem. It is a product problem.

04

"NOT looking to introduce new methodology. Goal is to reinforce existing framework."

Katie Van Hoomissen, Contentful (Call 1) Tier 2

The buyer told WbD exactly what they wanted on the first call. WbD pitched something else.

05

"Price about triple similar competitor."

CRM close note, WP Engine CRM

A company that asked for SPICED by name walked away in 3 days because the only way to buy it was a $344K consulting engagement.

06

"Sales skills are relatively the same."

Chris Masino, CRO, Contentful (Call 5) Tier 2

The CRO wanted one consistent program. WbD proposed three differentiated tracks. Sandler offered one.

07

"Dive and catch culture, siloed org, lack of defined processes."

Doug Lavanchy, Postman (Call 3) Tier 2

A Revenue Architecture buyer describing themselves in Revenue Architecture language. The need was real. The execution was not.

08

"10 training sessions, 68 hours, zero performance change."

Check Point internal data Tier 1

Their own generic training failed. They still built more of it in-house ($295K). But they bought WbD's specialized IP ($175K). Buyers build labor in-house. They buy intellectual property from vendors.

09

"Entry-level reps lack foundational sales training. First-time managers: homegrown, learned on the job."

WP Engine (Call 1) Tier 2

The most foundational buyer need possible, met with the most premium delivery model possible. This is the product-market mismatch in one quote.

10

"Hard decision between WbD and Value Selling."

Ann, First Advantage (verified debrief) Tier 1

WbD was close. Not a distant third. One capability gap (AI certification at scale) separated $500K won from $500K lost.


Deal Forensics Drill-Down

Click any deal to expand its full forensic profile.

Lost Deals

First Advantage Lost $500K Tier 2
Owner: Dan Smith Lost to: Value Selling (Val AI) Revenue: $1.57B (in ICP)

What they came for: Wanted an AI agent to certify 551 reps on new product launches at scale in a post-M&A integration.

What they needed: AI-powered certification at scale. Val could do it. WbD could not.

Verdict: WbD offered "93 AI partners certified on SPICED" and AI role-play scenarios, positioning AI as a feature within training. Value Selling positioned AI as the product. Val was "the deciding factor." Pricing was equivalent across all vendors. This was an AI product competition, not a legacy incumbent fight.

JFrog Lost $400K Tier 2
Owner: Mike Boogaard Calls: 5 (2 documented) Revenue: $532M (in ICP)

What they came for: SPICED integrated inside their existing MEDDIC architecture for a PLG-to-enterprise growth mandate.

What they needed: Forecast accuracy and MEDDIC-native integration, not methodology hierarchy.

Verdict: WbD's positioning evolved from "SPICED is the operating system with MEDDIC fitting inside" (hierarchy claim) to the correct framing ("SPICED enables MEDDIC criteria") to retreat under pressure ("hide SPICED behind MEDDIC labels"). Christian Arrigo's prior negative WbD experience was not discovered until Call 5. The Aug 12 positioning was correct but could not withstand a skeptic with firsthand evidence of prior failure.

Postman Lost $375K Tier 2
Owner: Dan Smith Calls: 3 (2 documented, 39-day gap) Revenue: ~$313M (in ICP)

What they came for: Revenue Architecture for a 700-person GTM org, ready for a February SKO.

What they needed: A mutual action plan with dates and owners. The CRO went on paternity leave. No bridge plan existed.

Verdict: CRM says "requirements changed." Requirements did not change. 39 days of silence followed the CRO's departure. No evidence of any scope or strategic change. Doug Lavanchy described the exact problem WbD solves ("dive and catch culture, siloed org, lack of defined processes"). The deal died of neglect, not changed requirements.

Contentful Lost $400K Tier 2
Owner: Rachael Smith Calls: 8 (2 documented) Activities: 53 Revenue: ~$219M (in ICP)

What they came for: Skills reinforcement on existing Command of the Message + MEDDIC. Explicitly stated "NOT looking to introduce new methodology."

What they needed: A "skills-only" offering that reinforced their existing framework without new branding.

Verdict: WbD pitched the bow-tie operating system with 3 role-based tracks to a buyer who said "no new methodology." The CRO had a longstanding Sandler relationship (known 3 weeks before loss). No counter-strategy was executed. The CRO wanted uniform skills training ("sales skills are relatively the same"). Sandler's consistent-methodology model aligned with his preference. WbD's differentiated proposal aligned with a sales leader (Brett McNay), not the CRO who controlled budget.

WP Engine Lost $250K Tier 2
Owner: Dan Smith Calls: 2 (19 days total) Revenue: ~$400M (in ICP)

What they came for: Foundational enablement for 500 CS reps at ~$200/seat. Asked for SPICED by name.

What they needed: Scalable digital delivery. Entry-level reps lacking foundational sales training. First-time managers who were "homegrown, learned on the job."

Verdict: Pipeline was $250K. Proposal was $344K (38% over WbD's own estimate, $13,760/seat for 25 people). No phased option offered. No scope negotiation occurred. The deal died in 3 days with no counter. The price was wrong because the packaging was wrong. At $200/seat for 500 reps, SPICED AI would have captured $100K, exactly within their budget range.

Won Deals

Global Payments Won $414K Tier 1
Owner: Dan Smith Type: Multi-SOW expansion Revenue: $9.3B (above ICP)

What they came for: SPICED embedded in their technology stack for ongoing revenue operations.

What they needed: Technology integration: SPICED in Salesforce + Gong + Gong Enable. AI scorecards evaluating reps against methodology criteria.

Verdict: Technology integration created switching costs. SPICED became infrastructure, not training. This is the prototype for what a SPICED AI product looks like: scorecards in Gong, AI certification scenarios in Enable, methodology fields in Salesforce. GPN is paying $414K for WbD to build it manually, one customer at a time.

Vimeo Won $134K Tier 1
Owner: Betsy Peters Type: Implementation (stalled) Revenue: ~$417M (in ICP)

What they came for: Help with internal chaos, MEDPIC entrenchment, regional misalignment.

What they needed: SPICED/MEDPIC architectural integration. Standalone Sales Ready Messaging asset. Crawl-walk-run phasing.

Verdict: Betsy read the room and adapted. Coexisted with existing methodology. Did not require methodology adoption. Delivered skills-focused content (question cards, pocket stories by persona) that embeds SPICED thinking without requiring anyone to learn SPICED as a brand. This is the "boil the frog" approach that works.

Fenergo Won $290K Tier 1
Owner: Mike Boogaard Team: 4 people (Boogaard, Gordillo, Barber, Liem) Calls: 10+ Revenue: ~$163M (in ICP)

What they came for: Help with 40% churn, growth concentration, and a 322-day sales cycle.

What they needed: Data-driven diagnostic: ICP analysis, motion validation, revenue risk modeling.

Verdict: Solved the actual business problem with evidence, not philosophy. SOW1 ($120K) earned SOW2 ($170K) through demonstrated results. 6 stakeholders engaged. Land-and-expand model worked exactly as designed. This is the Boogaard Motion at its best: multi-person team, diagnostic depth, phased commitment.

Check Point Split $175K won / $295K lost Tier 1
Owner: Mike Boogaard Team: 4+ (Boogaard, McGrath, Bye, Barber) Revenue: $2.73B (above ICP)

What they came for: SKO content and ongoing enablement for their global sales org.

What they needed: Specialized, methodology-integrated SKO breakouts. MEDIC positioned alongside bow-tie. Modular, not monolithic.

Verdict: Check Point bought the IP they couldn't build ($175K + $40K IP license) and built the generic training in-house ($295K), despite their own data showing "10 training sessions, 68 hours, zero performance change." This confirms the thesis: buyers want intellectual property from vendors and build delivery labor themselves. A SPICED AI product is the IP delivered at scale.

Win/Loss Forensic Synthesis · April 2, 2026 · Prepared for the WbD Executive Leadership Team

Sources: Grain call recordings, HubSpot CRM, verified debriefs, public revenue data. Evidence gaps noted where they exist.