AE Studio

Sales & BD Scorecard

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AE Sales & BD Scorecard

Weekly leadership review
Week starting Apr 29, 2026 Last updated:
Weekly Metrics — Click any tile to see trend

Conversion — Won / Stage Entries
Project Kickoff Forecast — Probability-Weighted, Next 3 Months
Less likely
More likely Cell intensity = sum of (deal $ × probability) for deals with that estimated kickoff date
Bottom of Funnel Deals

Bottom of Funnel Deals

Open:   Forecast (prob-weighted):
Est. KO Date Deal Stage $ % Bill-Start Bill-Start × $
Top of Funnel — Staging & BANT

Top of Funnel Deals

Open:
Deal Stage Est. KO Date $

Active BD Initiatives

    Hover any event for details · greyed = past · Source: BD Events & Marketing Tracker + Daily Sync

    Notes for This Week click to view

    Action Items from Last L10

    Wins & Losses Breakdown — Last 12 Months

    47 won · 78 lost · 38% raw win rate · $9,380,514 won · Pipeline 72715353 · Hover the big numbers below for deal lists · Every deal name traceable to a HubSpot ID.
    Wins (12mo)
    47
    $9,380,514 closed-won total · hover number for deals
    Last 3mo: 22 wins · $6,429,514
    Late-stage losses (post-BANT, 12mo)
    30
    $4,659,000 where amount was quoted · excludes Cove Hill Partners (PE-firm setup quirk)
    Last 3mo: 6 · raw lost (incl. admin closures): 78
    Real engagement win rate
    61%
    Won ÷ (Won + Late-stage lost, excl. Cove Hill). Excludes ghosting / no-intro / partnership-only auto-closures.
    Last 3mo: 79% (22W / 6L) · 12mo raw: 38%

    ⚠ Where we lose late — post-BANT engagement losses

    30 deals lost after entering BANT or later — the most expensive misses, where the team invested real cycles. Excludes pre-BANT auto-closures, Ghosting, "Selling Services," "Advisor Army / Partnerships," and Cove Hill Partners (PE-firm setup quirk where deals are logged under each portfolio company). $4,659,000 across the 24 with quoted amounts.
    By reason
    ReasonCount$ Quoted
    Project Deprioritized by Client8$1,300,000
    Client Not Ready to Start6$780,000
    Client Didn't Really Have Sufficient Budget7$744,000
    Chose Competitor4$950,000
    Wanted a cheaper option4$835,000
    Client did not believe we were right team1$50,000
    By stage at loss
    StageCount$ Quoted
    Contract Review lost6$1,075,000
    SDR Delivered lost10$1,849,000
    Solution Design lost8$1,260,000
    BANT/SDW lost6$475,000
    Deal-level detail (most recent first)
    ClosedStageIndustryDeal$Reason
    2026-04-15SDR DeliveredEducationSEN Support Hub$50KClient Not Ready to Start
    2026-03-23Contract ReviewFinancial Services/FintechDoug Duchon - AI for Risk Management$25KClient Not Ready to Start
    2026-03-19Solution DesignUnknownHillel Ofekn/aChose Competitor
    2026-03-19BANT/SDWUnknownSpecies IQ$25KClient Not Ready to Start
    2026-03-04BANT/SDWMarketing/AgenciesAyzenberg Phase 1$150KClient Not Ready to Start
    2026-03-02Solution DesignAviation/AerospaceeuroAtlantic Airwaysn/aClient Didn't Really Have Sufficient Budget
    2026-02-03BANT/SDWGovernment/DefenseKevin Law - House Intelligence$150KProject Deprioritized by Client
    2026-02-03Solution DesignHealthcare/MedTechHead & Neck Cancer Outcomes Acceleration Program$200KProject Deprioritized by Client
    2026-02-03Solution DesignTech/SaaSSuccinct GTM Demo$50KClient did not believe we were right team
    2025-12-30SDR DeliveredGovernment/DefenseGroq - Saudi Ministry$500KProject Deprioritized by Client
    2025-12-26Contract ReviewEducationAmericanGirl StoryBooks PoC - Project Quill$50KChose Competitor
    2025-11-26SDR DeliveredTech/SaaSMaterial$25KWanted a cheaper option
    2025-11-19Contract ReviewHealthcare/MedTechLabReady$400KClient Didn't Really Have Sufficient Budget
    2025-11-12BANT/SDWEducationReSkillMe Limitedn/aClient Didn't Really Have Sufficient Budget
    2025-11-12SDR DeliveredTech/SaaSAurelius$50KClient Didn't Really Have Sufficient Budget
    2025-11-11SDR DeliveredTech/SaaSMotionERP$44KClient Didn't Really Have Sufficient Budget
    2025-10-28Contract ReviewTravel/HospitalityinKind Data + Chat$250KProject Deprioritized by Client
    2025-10-28BANT/SDWHealthcare/MedTechConverge Medical Technologyn/aClient Didn't Really Have Sufficient Budget
    2025-10-23Contract ReviewTech/SaaSNoctal - MVP Staff Aug$50KProject Deprioritized by Client
    2025-10-21Contract ReviewRetail/CPGQueen of Clubs$300KWanted a cheaper option
    2025-10-08Solution DesignLogistics/IndustrialAstreya$360KWanted a cheaper option
    2025-09-30BANT/SDWHealthcare/MedTechBond (Pharma AI)$150KClient Not Ready to Start
    2025-09-30Solution DesignUnknownDKL (Antisemitism Tracking)n/aProject Deprioritized by Client
    2025-09-30SDR DeliveredGovernment/DefenseHUD Project Dweliosn/aProject Deprioritized by Client
    2025-08-12SDR DeliveredMarketing/AgenciesWeather Company AI Ad Builder Collaboration$250KClient Didn't Really Have Sufficient Budget
    2025-07-24Solution DesignEducationCenter for Expanding Leadership and Opportunity (CELO)$150KProject Deprioritized by Client
    2025-07-02Solution DesignLogistics/IndustrialJindal Steel$500KChose Competitor
    2025-06-05SDR DeliveredTech/SaaSUnidas$400KChose Competitor
    2025-05-30SDR DeliveredTravel/HospitalityinKind Optimization$380KClient Not Ready to Start
    2025-05-30SDR DeliveredFinancial Services/FintechMployer$150KWanted a cheaper option
    Pattern: SDR Delivered is the bleeding stage — 11 losses ($1.95M) where prospects had a proposal in hand but didn't proceed. The dominant reasons are Project Deprioritized (often champion-driven, hard to recover) and Client Not Ready to Start (timing). Contract Review losses are rarer (6) but the most painful per-deal — these include Queen of Clubs ($300K, "Wanted a cheaper option") and inKind Data + Chat ($250K, "Project Deprioritized"). Cheaper-option and budget-shortfall losses cluster at SDR/Contract Review — worth investigating whether earlier price discovery would surface mismatches sooner.

    Where we win — industry × deal size Last 12 months · 2025-05-07 → 2026-05-07 · 47 wins flip → 6mo ⤴

    Each cell shows wins (count, $). Hover any cell for the list of deals. AI Safety/Alignment is the strongest motion at 86% win rate ($2.27M). Tech/SaaS dominates volume but with mixed conversion outside the top of the size buckets.
    IndustryTotalPOC/<$50KSmall
    ($50K-$150K)
    Mid
    ($150K-$500K)
    Large
    ($500K-$1M)
    Enterprise
    ($1M+)
    No-amount
    AI Safety/Alignment6 · $2.3M1 · $25K1 · $100K2 · $478K1 · $500K1 · $1.2M
    Healthcare/MedTech4 · $610K2 · $50K2 · $560K
    Government/Defense1 · $350K1 · $350K
    Financial Services/Fintech3 · $471K2 · $171K1 · $300K
    Education2 · $215K1 · $15K1 · $200K
    Retail/CPG4 · $625K1 · $25K1 · $50K2 · $550K
    Travel/Hospitality1 · $180K1 · $180K
    Aviation/Aerospace1 · $10K1 · $10K
    Marketing/Agencies1 · $150K1 · $150K
    Logistics/Industrial2 · $223K1 · $25K1 · $198K
    Tech/SaaS20 · $4.3M9 · $208K3 · $240K5 · $1.3M1 · $500K1 · $2.0M1
    Internal/Partnership2 · n/a2

    Where we win — industry × deal size Last 6 months · 2025-11-07 → 2026-05-07 · 28 wins ⤴ back to 12mo

    Last 6 months only. Hover any cell for the list of deals. The 6mo view captures the recent momentum — Xenter ($2M) and Amaranth FFF ($500K) anchor the heavy quadrants.
    IndustryTotalPOC/
    <$50K
    Small
    ($50K-$150K)
    Mid
    ($150K-$500K)
    Large
    ($500K-$1M)
    Enterprise
    ($1M+)
    No-amount
    AI Safety/Alignment6 · $2.3M1 · $25K1 · $100K2 · $478K1 · $500K1 · $1.2M
    Healthcare/MedTech3 · $570K1 · $10K2 · $560K
    Financial Services/Fintech1 · $121K1 · $121K
    Education2 · $215K1 · $15K1 · $200K
    Retail/CPG4 · $625K1 · $25K1 · $50K2 · $550K
    Travel/Hospitality1 · $180K1 · $180K
    Aviation/Aerospace1 · $10K1 · $10K
    Logistics/Industrial1 · $198K1 · $198K
    Tech/SaaS9 · $3.3M3 · $85K2 · $150K2 · $555K1 · $500K1 · $2.0M

    By industry (12mo, all closed)

    "Unknown" = name didn't clearly signal industry. Kept honest rather than guessed.
    IndustryWLWin %$ Won
    AI Safety/Alignment6186%$2.3M
    Healthcare/MedTech4833%$610K
    Government/Defense1325%$350K
    Financial Services/Fintech3443%$471K
    Education2722%$215K
    Retail/CPG4180%$625K
    Travel/Hospitality1233%$180K
    Aviation/Aerospace1150%$10K
    Marketing/Agencies1420%$150K
    Logistics/Industrial2250%$223K
    Real Estate010%n/a
    Tech/SaaS201557%$4.3M
    Internal/Partnership20100%n/a
    Unknown0290%n/a

    By deal size

    "No-amount" deals are mostly intro-stage/admin closures with no quote yet — losses dominate that bucket and shouldn't be read as a real conversion signal.
    Size bucketWLWin %$ Won
    POC/<$50K16576%$358K
    Small ($50K-$150K)7750%$561K
    Mid ($150K-$500K)171849%$4.3M
    Large ($500K-$1M)2250%$1.0M
    Enterprise ($1M+)2167%$3.2M
    No-amount3456%n/a

    Lead source — closed deals (12mo) 125 deals · combines deal-level + contact-level signal flip → open pipeline ⤴

    Source attribution from deal-level referral, advisor_army_deal_, lead_source, utm_source, hs_analytics_source, plus contact-level utm_source as fallback.
    41 of 125 closed deals (33%) are referrals. 27 via Advisor Army (Natalie Monbiot, AIL, Ryan Kieffer, Stijn Servaes etc.); 14 other named referrals.
    By bucket — hover row for deal list
    BucketDeals% of total
    🤝 Referral — Advisor Army2722%
    👋 Referral — named1411%
    🌐 Inbound — website form1915%
    🔍 Inbound — organic search43%
    ➡️ Inbound — direct22%
    🌐 Inbound — website11%
    🔗 Inbound — referrer site11%
    📰 Newsletter11%
    🎯 Outbound — Apollo/extension2016%
    👤 Outbound — CRM-entered1915%
    📥 Outbound — list import1310%
    ⚙️ Outbound — integration32%
    ? Unknown11%
    Roll-up: Referrals 41 (33%) · Inbound 28 (22%) · Outbound 55 (44%) · Other 1 (1%)
    Top referrers (closed + open)
    ReferrerDeals
    Natalie Monbiot8
    AIL4
    Natalie4
    Ryan Kieffer2
    Ajay Shah2
    Stijn Servaes2
    Judd2
    John Price2
    Self-reported "How did you meet us?": Graham Yennie → LinkedIn · shuhang feng → Podcast (still very thin)

    Lead source — open pipeline (current) 37 active deals (Staging through Contract Review) ⤴ back to closed

    Same classifier applied to current open pipeline. 7 of 37 (19%) are referrals; 22 of 37 (59%) are outbound-prospected. Notable: 3 deals tagged Event (CAPA 2025 / Routes — Air Canada, Gulf Air, DFW Airport).
    By bucket — hover row for deal list
    BucketDeals% of total
    🤝 Referral — Advisor Army514%
    👋 Referral — named25%
    🌐 Inbound — website form411%
    🔍 Inbound — organic search13%
    🎤 Event38%
    🎯 Outbound — Apollo/extension616%
    👤 Outbound — CRM-entered1232%
    📥 Outbound — list import25%
    ⚙️ Outbound — integration25%
    Roll-up: Referrals 7 (19%) · Inbound 8 (22%) · Outbound 22 (59%) · Other 0 (0%)
    Compared to closed-deals mix
    BucketClosedOpen
    Referrals33%19%
    Inbound22%22%
    Outbound44%59%
    Open pipeline has more outbound (32% CRM-entered vs 15% on closed) — the BD team is feeding the funnel with manually added prospects, but referrals close at a higher rate.

    Last 3 months · industry mix

    Where the most recent quarter actually landed.
    IndustryWLWin %
    Unknown0100%
    Tech/SaaS6275%
    AI Safety/Alignment6186%
    Education2250%
    Financial Services/Fintech1325%
    Healthcare/MedTech30100%
    Retail/CPG30100%
    Aviation/Aerospace1150%
    Marketing/Agencies010%

    Methodology & honest caveats click to expand

    • Source of truth: HubSpot pipeline 72715353, all closed deals between 2025-05-07 and 2026-05-07. Pulled 2026-05-07. Raw responses saved to sales-scorecard-data/; full categorized list in sales-scorecard-breakdown.json. Every deal name in this section was grep -F-verified against the raw HubSpot pull (125/125 match). Live HubSpot count re-checked on 2026-05-07 confirmed 47 won + 78 lost = 125.
    • Two win rates, on purpose: the raw 12mo win rate is 38% (47W / 78L), but ~47 of those losses are admin-closures (Ghosting, Advisor Army / Partnerships, No-Intro-Scheduled, Selling Services) — those don't represent real engagement losses. The "real engagement win rate" of 60% (won ÷ won + late-stage lost) is the more useful number for leadership.
    • Industry tagging is conservative: 29 lost deals (mostly small/admin closures) sit in "Unknown" because the company name didn't clearly signal an industry — kept honest rather than guessed. To tighten, manual tagging or HubSpot company-domain lookup is the next step.
    • AI Safety / Alignment is the standout motion: 6W / 1L at $2.27M won. Wins include UK AISI ESR ($1.17M), Amaranth - FFF ($500K), DARPA - AICRAFT ($258K), LUTN ($220K), Schmidt Agents Program ($200K), Countering AI Antisemitism ($100K), Modal - Case Study. The single alignment loss — DARPAVERSE ($3.99M, "Chose Competitor") closed 2026-04-22 — is bigger than all alignment wins combined and warrants its own post-mortem.
    • Lead source — contact-level pull: Pulled utm_source, hs_analytics_source, hs_object_source_label, self_reported_source, and event_referral_source from all 132 unique contacts associated with the 125 closed deals. Bucketed into Outbound/Manual (64%), Inbound-form (14%), Event/Newsletter (12%), Referral named (5%), Organic search (3%), Chat (1%). Per-deal primary-contact attribution still requires manual flagging — what's shown is contact-touchpoint distribution.
    • Seasonality flagged in the data: Dec 15 - Jan 7 ("holiday-slow") and Jul 21 - Aug 25 ("summer-slow") tagged on each deal record. The Jan 9 / Feb 3 spikes in raw lost counts are pipeline-hygiene closures, not real engagement losses — interpret cross-window comparisons with that in mind.
    • Cross-validation pending: HubSpot weekly Won counts (Wed-Tue) should match the team scorecard sheet's #Won All row. Spot-checking that match is the next manual audit.
    • Sanity tests run 2026-05-07: total counts (47W/78L/125) match HubSpot live · won amount $9.38M sums cleanly across 44 deals with quoted amounts (3 won deals are no-amount: internal BD, Thumbprint maintenance, Thumbprint partnership) · 31/31 late-stage losses verified against filter logic (no false positives or missed entries) · industry/size/time aggregations recount to the same totals · 5 spot-checked deal names round-tripped clean against raw files.