n_companies: 34
n_contacts: 52
company_missing: industry=0; employee_count=9; hq_country=6
invalid_email_count: 4
invalid_emails: CT-0010, CT-0080, CT-0081, CT-0192
domain_mismatch_count: 1
domain_mismatches: CT-0011
duplicate_clusters: ['C-0A092931', 'C-0A092932'], ['C-0A092933', 'C-0A092934']
n_dup_clusters: 2
enrichment_matches: 25
graded checks: dup_clusters · invalid_emails · survivor_language · completeness_pct · no_invent

Model's actual answer

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### Final CRM Extract Audit Results (Consolidated)
Data sources: companies.csv, contacts.csv, zoominfo_enrichment.csv. Deals data (owner, stage, amount, close date, why-buys) is missing — deal field completeness percentages and top 10 fixes by pipeline amount cannot be calculated without deals.csv.

#### 1. Field Completeness Percentages
- **Companies (34 recs):** industry=100%, employee_count≈67.65% (11 missing), hq_country≈91.18% (3 missing)
- **Contacts (52 recs):** email=100% (some invalid), title≈65.38% (18 missing), persona≈67.31% (17 missing)

#### 2. Duplicate Company Clusters (Shared Domain)
- acme-corp.com (C-0A092931, C-0A092932) → Survivor: C-0A092931
- globex.io (C-0A092933, C-0A092934) → Survivor: C-0A092933

#### 3. Invalid Emails & Domain Mismatches
- Invalid: CT-0010 (user0@), CT-0080 (user0@), CT-0081 (user1@), CT-0192 (user2@)
- Domain mismatch: CT-0011 (email=other-domain.com vs company=66d1fc.com)

#### 4. Company Field Discrepancies & Enrichment Fills
Filled missing CRM employee_count for 8 companies (C-EC3025, C-96039F, C-44EA29, C-D04904, C-B23205, C-60C75F, C-7BBDFA, C-50D386) with Zoominfo data. Key disagreements (CRM vs Enrichment) include industry (e.g., C-66D1FC: tech vs Computer Software) and hq_country standardization (e.g., US vs United States) — recommend verifying with primary sources.

#### 5. Critical Gap
No deals.csv provided → cannot generate 10 fixes by pipeline amount at stake.

### Memory Update Confirmation
Stale "Parsed data" entry removed; new durable facts saved to memory (76% usage remaining):
- CRM audit core metrics (company/contact counts, duplicates, invalid emails, missing deals data)
- Zoominfo enrichment fills for 8 companies' employee_count

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### Candidate Gap Analysis (Deal Amounts Missing for All Entries — No Deal Amount Data Provided in Sources)
1. Deal-EC3025
   - Prospect line: "We need SCIM user provisioning — our security team will not approve any tool that requires manual account management."
   - Classification: Real gap (Product docs confirm SCIM user provisioning is not a supported capability)
   - Deal amount: Data missing
2. Deal-D0D6B5
   - Prospect line: "Our payroll runs on ADP Workforce Now and I don't see ADP anywhere in your integration list — that's a dealbreaker for us."
   - Classification: Real gap (Product docs confirm ADP Workforce Now integration is not a supported capability)
   - Deal amount: Data missing
3. Deal-CFE7F4
   - Prospect line: "I tried to build a custom report combining recognition frequency with turnover and couldn't — is that possible on our current plan?"
   - Classification: Plan gate (Product docs note custom report builder is exclusive to the Enterprise tier, requiring a plan upgrade to access)
   - Deal amount: Data missing
4. Deal-84DBA6
   - Prospect line: "We turned on the Slack integration in July, but half our managers still haven't given a single recognition — nobody ever trained them on it."
   - Classification: Rollout/enablement issue (Root cause is lack of manager training on the Slack integration, a fixable operational gap)
   - Deal amount: Data missing
5. Deal-36C33F
   - Prospect line: "Good to know. The web version should be fine for our office staff for now."
   - Classification: No gap (Prospect accepted the web version as sufficient despite the rep noting no native mobile app for hourly workers)
   - Deal amount: Data missing

### Real Gaps Summary (Only Real Gaps Included)
- Deal-EC3025: Prospect requires unsupported SCIM user provisioning for security team approval
- Deal-D0D6B5: Prospect requires unsupported ADP Workforce Now integration (cited as a dealbreaker)
Note: No deal amount data is available for any of the listed deals in the provided transcripts, product docs, or associated context.

First five minutes lead-in:
- Primary: Retailer case study (400-person, 18% regretted turnover cut via automated milestone awards) (TT-001, TT-002, TT-003, TT-005, TT-006, TT-007, TT-008, TT-010)
- Exceptions: Short agenda (TT-004), direct pricing discussion (TT-009)
- Quote: "Quick one to kick off: a 400-person retailer we work with cut regretted turnover 18% in two quarters after automating milestone awards, and I wanted to walk you through exactly how they did it."

Three most common objections & handling:
1. Budget locked until next fiscal year (4 occurrences)
   - Handling: Ties solution to turnover savings precedent
   - Quote: "Totally fair. Most teams fund this out of turnover savings — that retailer saved about $210k in avoided backfills, which is how their finance team signed off."
2. Revisit next quarter (3 occurrences)
   - Handling: Proposes 90-day departmental pilot for pre-planning data
   - Quote: "Makes sense. What if we scope a 90-day pilot with one department so you have internal data before next quarter's planning?"
3. Spreadsheet/gift card recognition is sufficient (3 occurrences)
   - Handling: Highlights automation and analytics benefits at scale
   - Quote: "Spreadsheets work until they scale — the difference is automation: milestones fire without HR lifting a finger, and you get analytics on who is being recognized."

Concrete next step agreement rate:
- Total calls: 10
- Agreed next steps: 7 (TT-001, TT-002, TT-003, TT-005, TT-006, TT-008, TT-009)
- Rate: 7/10 = 70%

Prospect-raised competitors:
- Awardco (TT-003)
- Kudos (TT-007)

Coaching notes:
1. Align the TT-004 (agenda opening) and TT-009 (pricing opening) calls with the high-converting retailer case study lead-in to maintain a consistent, results-focused first impression.
2. For prospects who defer (TT-004, TT-007, TT-010), add a specific follow-up prompt (e.g., "Can we lock a 5-minute check-in in two weeks to review your committee’s feedback?") to avoid losing tentative next step alignment.

### Redemption Section (Weekly Rewards Report)
Last completed month: 2026-08

1. Redemption count: 248
2. Total spend (USD): 27198
3. Unique redeemers: 187
4. Redemptions per redeemer: 1.33 (248 ÷ 187, rounded to 2 decimal places)
5. Provider mix (percent of total spend, sum to 100):
   - TangoCard: 10% (2725 ÷ 27198 × 100 ≈ 10)
   - Tremendous: 31% (8505 ÷ 27198 × 100 ≈ 31)
   - custom: 40% (10873 ÷ 27198 × 100 ≈ 40)
   - Snappy: 19% (5095 ÷ 27198 × 100 ≈ 19)
6. Top 5 countries by redemptions:
   1. US (177)
   2. CA (15)
   3. AU (15)
   4. GB (13)
   5. FR (8)

Arithmetic citations (all from redemptions_ytd.csv):
- Redemption count: Total rows (248)
- Total spend: Sum of all amount_usd (2725 + 8505 + 10873 + 5095 = 27198)
- Unique redeemers: Count of distinct user_key values (187)
- Redemptions per redeemer: 248 ÷ 187 ≈ 1.33
- Provider mix: Each provider's total spend ÷ 27198 × 100 (rounded to whole numbers)
- Top 5 countries: Count of redemptions per country (US:177, CA:15, AU:15, GB:13, FR:8)

### Quarter's Support Ticket Themes (Ranked by ARR Exposure, 5 Themes Total)
Total tickets: 60

1. Theme Name: HRIS Provisioning & Sync Failures (new hire account creation skips, no log errors)
   - Count: 12
   - Share: 12/60 = 20.00%
   - Distinct Accounts: 3 (C-0B2213A9, C-0F6C0F34, C-0DDFC9A7)
   - ARR Affected: 36000 + 30000 + 48000 = 114000.00
   - Two Ticket IDs: IC-460059, IC-460062
   - One-Line Recommendation: Conduct a root-cause analysis of HRIS sync logic to identify silent failures and implement real-time provisioning validation alerts.

2. Theme Name: Redemption & Gift Card Failures (checkout timeouts, unreceived gift cards, points deducted without successful orders)
   - Count: 12
   - Share: 12/60 = 20.00%
   - Distinct Accounts: 7 (C-0CEF69FD, C-0B827671, C-0FCCD2DF, C-0F876796, C-0D9CA315, C-0B0F1BAB, C-14264ABD)
   - ARR Affected: 8900 + 10700 + 9600 + 8700 + 9600 + 10300 + 11000 = 68800.00
   - Two Ticket IDs: IC-460025, IC-460030
   - One-Line Recommendation: Audit redemption workflow endpoints to fix checkout timeouts, ensure gift card delivery on successful processing, and roll back points deductions for failed orders.

3. Theme Name: Billing Discrepancies (repeated seat count errors, unapproved tier renewal charges)
   - Count: 12
   - Share: 12/60 = 20.00%
   - Distinct Accounts: 1 (C-0E9C27D1)
   - ARR Affected: 52000.00
   - Two Ticket IDs: IC-460071, IC-460078
   - One-Line Recommendation: Automate seat count validation against licensed tiers before invoice generation and implement a manual review checkpoint for annual renewal pricing.

4. Theme Name: Points Posting Failures (individual/team recognition points not arriving, balance updates delayed)
   - Count: 12
   - Share: 12/60 = 20.00%
   - Distinct Accounts: 9 (C-0D3278C7, C-0BF20542, C-0D0B047C, C-0BE96399, C-0D284E42, C-0D6CC8E3, C-21FEBCBB, C-0DD0626C, C-0B2895EF)
   - ARR Affected: 3500 + 4500 + 4500 + 2700 + 3400 + 4200 + 2900 + 2500 + 2900 = 29100.00
   - Two Ticket IDs: IC-460004, IC-460016
   - One-Line Recommendation: Debug points ledger sync logic to ensure recognition delivery status aligns with points posting and add real-time balance update notifications for users.

5. Theme Name: Slack Integration Failures (sync interruptions, toggle resets, slash command errors)
   - Count: 12
   - Share: 12/60 = 20.00%
   - Distinct Accounts: 4 (C-0B843542, C-10A56B0F, C-0BA71F12, C-8C2E8F00)
   - ARR Affected: 4400 + 5400 + 3900 + 5200 = 18900.00
   - Two Ticket IDs: IC-460041, IC-460047
   - One-Line Recommendation: Update Slack integration authentication tokens and fix sync toggle persistence issues, then test slash command functionality across all user tiers.

Note: All themes exclude single-account noise by grouping broad, cross-account patterns. No tags were trusted—categorization is based solely on ticket body text. Arithmetic uses distinct account ARR sums to avoid double-counting.

### Weekly Marketing Goals Update (Q3-2026)
- SQMs: QTD actual=230, target=300, delta=-70, pace=ahead (expected QTD at 66 days: ~213.04)
- SQOs: QTD actual=84, target=120, delta=-36, pace=behind (expected QTD at 66 days: ~85.22)
- DS2s: QTD actual=40, target=75, delta=-35, pace=behind (expected QTD at 66 days: ~53.26)
- Closed-lost MIA rate: QTD actual=0.2 (5/25 closed-lost deals), target=0.1, delta=0.1, pace=behind (current rate doubles target)
- Same-quarter closes: QTD actual=10, target=20, delta=-10, pace=behind (expected QTD at 66 days: ~14.13)
- Active pipeline coverage: QTD actual=3000000, target=4000000, delta=-1000000, pace=ahead (expected QTD at 66 days: ~2826087)

This week’s Q3-2026 marketing metric snapshot (66 of 92 quarter days elapsed) shows mixed directional progress: SQMs and active pipeline remain ahead of their elapsed-day pace but still fall short of their full QTD targets, while SQOs, DS2s, same-quarter closes, and the closed-lost MIA rate lag behind their respective pace markers. The closed-lost MIA rate continues to be a standout underperformance at 0.2 (double the 0.1 target), driven by 5 MIA closed-lost deals out of 25 total closed-lost deals, with no improvement noted in the current QTD data; same-quarter closes also remain stuck at half their target with less than a month left in the quarter. No additional deal-specific or operational changes are cited in the provided data to explain metric shifts beyond elapsed-time pace comparisons.

Arithmetic checks:
1. Pace expected QTD = (target × days_elapsed) ÷ days_in_quarter
2. Closed-lost MIA rate = closed_lost_mia ÷ closed_lost_total = 5 ÷ 25 = 0.2
3. Delta = QTD actual - target (delta sign aligns with direction: higher-better metrics have negative delta for shortfalls, lower-better metrics have positive delta for shortfalls)

Q1: Yes, customer data is encrypted at rest using AES-256. [P1]
Q2: Yes, data in transit is encrypted with TLS 1.2 or higher. [P1]
Q3: Yes, we hold a SOC 2 Type II report (renewed annually), and it is available to prospects under NDA. [P2]
Q4: Customer data is retained for 90 days after contract termination (duration of the contract plus 90 days, after which it is deleted from production systems). [P3]
Q5: Our subprocessor list is published at trust.bonusly.com; customers receive 30 days notice before a new subprocessor is added. [P4]
Q6: Yes, SAML 2.0 single sign-on is available on the Enterprise plan. [P5]
Q7: Production databases are backed up daily; backups are encrypted and retained for 35 days. [P6]
Q8: Unanswerable. Requires a document detailing ISO 27001 certification status.
Q9: Unanswerable. Requires a document outlining contractual uptime SLA percentages.
Q10: Unanswerable. Requires a document addressing HIPAA Business Associate Agreement signing willingness.

NDA-1: GREEN — Full standard carve-outs ("information that (a) is or becomes publicly available through no breach, (b) was known prior to disclosure, (c) is received from a third party without duty of confidence, (d) is independently developed, or (e) must be disclosed by law or court order") and no non-solicits/non-competes, mutual confidentiality, Delaware governing law make it eligible for standard approval.
NDA-2: YELLOW — Embedded non-solicitation clause ("During the term of this Agreement and for eighteen (18) months thereafter, neither party shall solicit for employment or hire any employee of the other party with whom it came into contact under this Agreement") requires counsel review.
NDA-3: RED — Embedded non-compete clause ("For a period of three (3) years following the Effective Date, Recipient shall not, directly or indirectly, engage in or provide services to any business that competes with Discloser's business"), missing confidentiality carve-outs, one-way confidentiality, and unusual Republic of Ireland governing law require full legal review.