Brainforge x LMNT: wholesale
Thu, 11 Dec 25 · uttam@brainforge.ai, shivani@drinklmnt.com, laura@drinklmnt.com, robert.tseng@brainforge.ai, madison@drinklmnt.com
Current Wholesale Data Challenges
- Historical data extremely difficult to pull (36 hours trying to download wholesale orders report)
- Customer tagging system inconsistent over time
- Previously: single “wholesale” tag for all customers
- Now: segmented tags (trusted health, specialty retail, bulk buyers)
- 2,000 customers manually moved from trusted health to specialty retail
- Google Sheet CRM disconnected from Shopify
- Email mismatches break customer linking
- Only 2,000 out of 13,000 customers have clean application matches
- Missing onboarding dates for customers beyond 2 years
Wholesale Business Structure
- 13,000 total partners (grew from 200 when Laura started)
- Three segments with different pricing/products:
- Trusted health practitioners (~10,000) - 65% margins, $2 single packs
- Bulk buyers (~1,500) - increased pricing, same products as trusted health
- Specialty retail (~1,500) - 30% margins, new SKUs, on hold for January launch
- All growth currently inbound, no proactive prospecting
- Team of 2 (Laura and Madison) manages entire P&L including inventory planning
Five-Year Strategy Requirements
- Building hiring plan tied to account management structure
- Key questions needing data answers:
- Which segments need dedicated account managers vs general support
- Account size thresholds for personalized service
- Optimal portfolio mix across segments
- Impact of retail expansion (Walmart, Target) on wholesale demand
- Current monthly applications dropped to 120 vs typical 300+ target
- Need segment-specific growth rates and retention analysis
Channel Cannibalization Concerns
- Retail expansion creating pricing pressure on wholesalers
- Tennis center owner buying Costco Element instead of wholesale
- D2C pricing increased (88 sparkling) to maintain wholesale margin protection
- Target availability undermining wholesale value proposition
- Specialty retail margins too low (30%) for competitive pricing vs subscription model
Customer Journey & Operations
- Automated welcome kit after first purchase
- Third purchase unlock system over-projected inventory needs
- Refrigerator unlock program based on sparkling spend thresholds
- Event sampling support for all 13,000 partners
- Lead times require 6-month forecasting on limited historical data
Product Mix Complexity
- New 12-ounce vs 16-ounce sparkling cannibalization analysis takes full day
- Investment items (refrigerators, merch) tracked as revenue but actually costs
- Finance team manually removes subsidized purchases from revenue reporting
- SKU-level reporting breaks with creative bundling strategies
Next Steps
- Tool selection (ETL and data warehouse) within one week
- Data ingestion during rest period, modeling in January
- Historical data pulls will be fastest wins once warehouse operational
- Google Sheet integration for account matching relatively straightforward
- January sessions planned for data definition crosswalking between teams
Chat with meeting transcript: https://notes.granola.ai/t/5eea826a-1150-4833-af53-7b3f8b621d80