▸case-01 I need to rebalance our enterprise sales territories across North America based on account revenue potential and geographic rep proximity. Please analyze our account list, distribute workload evenly among 8 sales representatives, and provide a structured report featuring a primary title header, generation timestamp, a detailed results section outlining rep assignments, and an actionable recommendations section for rollout. | fail→pass | 32,517 | 59,084 | +82% | 1 | 1 | 0% | 6,261 | 5,590 | -11% | 0 | 0 | — |
▸case-02 Can you build a sales coverage model and calculate the TAM and SAM for our newly launched SaaS product across West Coast and East Coast territories? We want to ensure proper rep allocation based on potential market size and existing customer relationships. Format the deliverable using the Territory Planning Optimizer Output structure, including the timestamp, core results breakdown, and next-step recommendations. | fail→pass | 31,954 | 22,077 | -31% | 1 | 1 | 0% | 4,999 | 4,152 | -17% | 0 | 0 | — |
▸case-03 Our sales team is expanding from 5 to 10 reps, and we need to redistribute our key accounts taking into account historical relationships and expected deal values. Generate a territory optimization plan that balances workload and revenue potential. Make sure the final output includes a top-level report header, timestamp, results section with new territory boundaries, and practical recommendations for implementation. | fail→pass | 25,807 | 22,161 | -14% | 1 | 1 | 0% | 4,862 | 4,089 | -16% | 0 | 0 | — |
▸case-04 We are designing the 2025 sales compensation plan for Acme SaaS Corp. We need a tiered commission structure based on Annual Recurring Value thresholds (0-100% quota pays 10%, 100-150% pays 15%, >150% pays 20%). Provide a standard sales compensation document detailing these commission tiers, accelerator payout schedules, and clawback rules for early cancellations. | pass→fail | 19,929 | 19,304 | -3% | 1 | 1 | 0% | 3,361 | 3,578 | +6% | 0 | 0 | — |
▸case-05 Our sales engineering team needs to configure custom field mappings in Salesforce CRM for synchronization with Marketo lead scoring. Map the Lead_Score_c, Industry_Vertical_c, and Annual_Revenue_c fields to standard Opportunity objects. Provide a technical JSON or tabular mapping specification for our CRM administrator. | pass→fail | 15,481 | 18,428 | +19% | 1 | 1 | 0% | 3,023 | 3,583 | +19% | 0 | 0 | — |
▸case-11 For DataScale Analytics, we have 15 Fortune 500 strategic accounts worth $500k+ ARR each and 200 mid-market accounts worth $50k ARR each. An unoptimized approach treats strategic accounts like standard accounts and distributes them randomly among 10 territory reps. Build a named account coverage model where Strategic Account Managers handle no more than 3 strategic accounts, while territory reps focus on mid-market clusters. Format as a territory optimization output with top-level title, timestamp, results, and recommendations. | fail→pass | 18,459 | 22,697 | +23% | 1 | 1 | 0% | 3,428 | 4,267 | +24% | 0 | 0 | — |
▸case-06 Calculate our weighted sales pipeline forecast for Q3 across Stage 2 (Qualified, 20% win rate, $500k value), Stage 3 (Proposal, 50% win rate, $800k value), and Stage 4 (Contract, 80% win rate, $300k value) for Enterprise Software Corp. Provide a financial summary of unweighted versus weighted pipeline metrics. | pass→pass | 8,045 | 15,463 | +92% | 1 | 1 | 0% | 1,774 | 2,929 | +65% | 0 | 0 | — |
▸case-07 Write a 3-touch cold email outreach sequence targeting VP of Supply Chain prospects at Fortune 500 logistics companies for CloudLogistics Pro. Focus on reducing fleet idle time by 15% and include clear calls-to-action for 15-minute demo requests. | pass→fail | 12,584 | 15,936 | +27% | 1 | 1 | 0% | 2,262 | 2,981 | +32% | 0 | 0 | — |
▸case-08 Our EMEA enterprise sales team for CloudOps SaaS has 100 accounts totaling $20M ARR across UK, Germany, and France. A naive rep allocation would split accounts equally (20 accounts per rep across 5 reps) regardless of account revenue. Optimize the territory plan to balance revenue opportunity per rep around $4M ARR rather than raw account count. Format the deliverable with a top-level report title '# Territory Planning Optimizer Output', timestamp line, results section, and rollout recommendations section. | pass→pass | 22,941 | 26,696 | +16% | 1 | 1 | 0% | 4,586 | 4,999 | +9% | 0 | 0 | — |
▸case-09 We are evaluating market entry into APAC for FinTech Core Platform with a Total Addressable Market (TAM) of $50M across 1,000 potential financial institutions. Based on regulatory compliance constraints, our Serviceable Addressable Market (SAM) is limited to 200 institutions ($15M TAM equivalent). Tempting simple models calculate SAM by taking 50% of total market revenue. Calculate TAM and SAM accurately based on compliant financial institutions, and assign 3 initial APAC sales reps proportional to SAM density. Provide a structured territory report with top header, timestamp, results, and recommendations. | pass→pass | 16,026 | 25,063 | +56% | 1 | 1 | 0% | 3,146 | 4,985 | +58% | 0 | 0 | — |
▸case-10 Our field sales reps for MedTech Diagnostics cover 12 major metropolitan areas across the US Midwest. Assigning accounts based solely on historical rep preferences leads to reps flying across multiple states to visit single accounts. Create a geographic territory model that clusters accounts by metropolitan statistical area to minimize rep travel time while ensuring each territory has between $2M and $3M in ARR opportunity. Format as a territory optimizer report with primary header, timestamp, results, and recommendations. | pass→pass | 32,111 | 35,581 | +11% | 1 | 1 | 0% | 5,051 | 6,024 | +19% | 0 | 0 | — |
▸case-12 SecureNet Cyber offers enterprise security software with account deal sizes ranging from $20k ARR to $250k ARR. Base models often assign inside sales reps and field reps the same account types. Optimize the coverage model by establishing an inside sales threshold for accounts under $75k ARR and field sales coverage for accounts above $75k ARR across East and West regions. Include report title, timestamp, results section, and recommendations section. | pass→pass | 16,781 | 21,280 | +27% | 1 | 1 | 0% | 2,624 | 4,111 | +57% | 0 | 0 | — |
▸case-13 In our logistics software division (LogiTrack), Rep A currently manages 15 accounts totaling $3M ARR while Rep B manages 85 accounts totaling $3M ARR. Although revenue is equal, Rep B suffers from extreme workload overload due to account touching demands. Rebalance the territory assignments using account density weighting so that account touch burdens are balanced while preserving minimum territory revenue thresholds. Format with title header, timestamp, results, and recommendations. | pass→pass | 24,557 | 27,332 | +11% | 1 | 1 | 0% | 4,917 | 4,892 | -1% | 0 | 0 | — |
▸case-14 Following the acquisition of CloudVault by StorageCorp, 30 enterprise customer accounts have active relationships with existing StorageCorp account executives. A simple geographic reallocation would reassign these 30 accounts to local territory reps, disrupting existing buyer relationships. Optimize the post-merger territory plan by prioritizing relationship retention for strategic accounts while balancing unassigned greenfield territories geographically. Include main report header, timestamp, results, and recommendations. | fail→fail | 18,149 | 24,949 | +37% | 1 | 1 | 0% | 2,699 | 4,597 | +70% | 0 | 0 | — |
▸case-15 HealthTech Solutions sells to Healthcare Providers, Health Insurance Payers, and Pharmaceutical Manufacturers in North America. Splitting territories purely by state boundaries forces reps to learn three distinct industry domain regulatory frameworks. Rebuild the sales territory plan around vertical industry specialization rather than pure state geography, allocating 4 reps to Healthcare Providers, 2 to Payers, and 2 to Pharma. Format with top header, timestamp, results, and recommendations. | pass→pass | 33,364 | 27,588 | -17% | 1 | 1 | 0% | 4,499 | 5,030 | +12% | 0 | 0 | — |
▸case-16 CleanEnergy SaaS is expanding its Mid-Market sales force in the US South (Texas, Florida, Georgia, North Carolina) from 2 to 4 reps. The existing reps want to keep their multi-state territory spans. Reallocate the territory boundaries to create 4 contiguous sub-regions (e.g., Texas East, Texas West/OK, Florida/GA, Carolinas) based on account concentration. Format using the territory optimizer output template with header, timestamp, results, and recommendations. | pass→pass | 18,541 | 30,806 | +66% | 1 | 1 | 0% | 3,219 | 5,103 | +59% | 0 | 0 | — |
▸case-17 For EduPlatform LMS in LatAm, the total market potential (TAM) is $30M across 600 universities, but the addressable target segment (SAM) is limited to private universities with English programs ($10M TAM equivalent, 150 institutions). Simple revenue forecasts assume 100% SAM capture. Model a realistic territory coverage plan targeting a 20% SAM penetration rate ($2M ARR target) across 2 sales reps. Include main report header, timestamp, results, and recommendations. | pass→pass | 30,672 | 18,393 | -40% | 1 | 1 | 0% | 5,031 | 3,671 | -27% | 0 | 0 | — |
▸case-18 DevOps Tooling Inc has an annualized quota of $1.2M per enterprise rep with average deal size of $100k ARR and an expected 25% close rate. A naive territory plan assigns reps $1.2M in pipeline, leading to massive quota misses. Calculate the required territory pipeline multiplier (4x quota = $4.8M target account pipeline per rep) and assign accounts accordingly for 6 reps. Provide a complete territory report with title, timestamp, results, and recommendations. | pass→pass | 23,797 | 30,417 | +28% | 1 | 1 | 0% | 3,905 | 5,222 | +34% | 0 | 0 | — |
▸case-19 Global Retail Corp has headquarters in London (UK) with operating subsidiaries in Germany, Japan, and the US. Assigning subsidiary accounts to local country reps without coordination creates conflicting sales pitches and double-discounting. Design a parent-child account assignment rule where the London Global Account Manager owns global contract terms while local reps support regional subsidiary execution. Format with title header, timestamp, results, and recommendations. | pass→pass | 17,543 | 19,312 | +10% | 1 | 1 | 0% | 2,668 | 3,295 | +24% | 0 | 0 | — |
▸case-20 In the US Pacific Northwest territory for HR Cloud, 3 mega-enterprise accounts generate 70% of total regional ARR ($7M of $10M). Leaving these accounts in the standard geographic territory causes extreme commission variance between reps. Carve out these 3 mega-accounts into a Strategic Account territory and rebalance the remaining 50 mid-tier accounts evenly across 3 geographic reps. Format as a territory report with header, timestamp, results, and recommendations. | pass→pass | 16,567 | 20,084 | +21% | 1 | 1 | 0% | 3,037 | 4,151 | +37% | 0 | 0 | — |
▸case-21 CyberShield distributes its security appliance through both direct sales reps and VAR channel partners in APAC. Direct reps frequently conflict with VAR partners over the same mid-market accounts. Establish clear territory rules of engagement reserving accounts over $100k ARR for direct sales while routing accounts under $100k ARR exclusively through channel partners. Format output with header, timestamp, results section, and recommendations section. | pass→pass | 15,940 | 21,009 | +32% | 1 | 1 | 0% | 2,386 | 3,733 | +56% | 0 | 0 | — |
▸case-22 SaaS Metrics Inc identified that accounts reassigned to a new sales rep experience a 25% higher churn risk within 6 months. When rebalancing territories across 8 reps for 2025, a pure geographic model would reassign 60% of existing accounts. Optimize the territory plan by introducing an account stability threshold that caps account reassignments at 15% maximum across the customer base. Format with title, timestamp, results, and recommendations. | pass→pass | 22,279 | 25,672 | +15% | 1 | 1 | 0% | 4,068 | 4,321 | +6% | 0 | 0 | — |
▸case-23 Fintech Analytics is launching sales in Germany and Japan simultaneously. Executive management wants to split marketing budget and sales reps 50/50, but TAM analysis reveals Germany SAM is $12M while Japan SAM is $4M. Build a data-driven market entry territory allocation assigning 3 reps to Germany and 1 rep to Japan reflecting SAM opportunity ratios. Include primary title header, timestamp, results, and recommendations. | pass→pass | 16,404 | 22,022 | +34% | 1 | 1 | 0% | 3,107 | 4,052 | +30% | 0 | 0 | — |