Meeting Agenda: Blake (Partnerships) Discovery Call
Date: Tuesday, December 16, 2025
Time: 10:00 AM PT (1 hour)
Attendees: Blake (LMNT Partnerships Manager), Uttam Kumaran, Awaish Kumar, Shivani Amar
Note: Questions below include context from Jason (IT) and Carlos (E-commerce) meetings. Pre-populated answers are marked with “(confirmed)” or highlighted with bold text to validate with Blake, especially around metric definitions and attribution methods.
POST-MEETING SUMMARY
Fill this section out after the meeting concludes - see MEETING_WORKFLOW_GUIDE.md for instructions
Key Learnings
Current State:
- Add major insights about partnership program operations
- Pain points discovered
- Unexpected findings
Data Sources & Systems:
- List of systems Blake uses
- How data flows
- Data quality/trust issues
Quick Wins Identified:
- High-impact opportunity (e.g., automate partnership dashboard)
- Automation opportunity
- Reporting improvement
Answers to Key Questions
Reference question numbers from below and provide concise answers
Q1-5: Partnership Program & Structure
- Q1: Active partners → A: Fill in after meeting
- Q2: Tribe segmentation → A: Fill in after meeting
Q6-8: Data Sources & Reporting
- Q6: Systems used → A: Shopify (confirmed), Source Medium (confirmed, has data quality issues per Carlos), Refersion (confirmed), others TBD
- Q7: Attribution method → A: GA4 last-click → Source Medium, UTM source/medium format (e.g., “andrewhuberman / sponsor”), validate with Blake
Q14-19: Metrics & KPIs
- Q18: CAC definition → A: Need to align with Carlos’s 3 different definitions
- Q17: ROAS vs MER → A: Validate if using MER like Carlos
(Continue for other question groups as needed)
Decisions Made
- Decision about tool/process
- Alignment on metric definitions
Follow-Up Needed
- Blake: Action item (Due: Date)
- Brainforge: Follow-up task (Due: Date)
Meeting Objectives
- Understand health partnership program and influencer ecosystem
- Review partnership attribution and revenue tracking
- Explore partnership performance spreadsheet and data sources
- Identify challenges in measuring partnership ROI
- Document partnership KPIs and metric definitions
- Understand integration with Shopify and e-commerce data
Demos/Walkthroughs Requested
-
Partnership ecosystem overview
- Walk through the 100+ partners tracked in your dashboard
- “Tribe” segmentation (Health Leader, Information Seeker, Performance Executive, Industrial Athlete, Wellness, etc.)
- Partnership structure and tiers
- Compensation models
-
Partnership performance spreadsheet walkthrough
- How data is collected and maintained
- Metrics tracked per partner (Monthly Revenue, ROAS, CAC, YTD performance)
- Time spent maintaining this massive spreadsheet
- How you prioritize which partners to review
-
Attribution tracking
- How partnership traffic/sales are tracked
- Source/Medium naming convention (e.g., “andrewhuberman / sponsor”)
- Integration with Shopify analytics and Carlos’s dashboard
- Monthly vs. YTD vs. Annual Booked Spend tracking
-
Top partnerships & outliers
- Huberman (1.2M YTD, $2.2M annual) - what makes this so successful?
- Other top performers (Nicki Entenmann 5K, Lex Fridman 4.9K)
- Partners with revenue marked “Inactive” - what does that mean?
- Discontinued partnerships - lessons learned
-
Agency & relationship management
- Multiple agencies (Moonbeam, Scicomm Media, Adhesive Media, etc.)
- “Relationship Energy” tracking - how measured?
- “Fortification Monthly Summary” notes
- Partner landing page types (Generic, Testimonial, Custom)
Questions to Ask
Partnership Program Overview
-
I see 100+ partners tracked in your dashboard - how many are currently active?
- “Signed” vs. “Out (Waitlist)” vs. “Discontinued” status
- Growth trajectory over 2025
-
Walk me through the “Tribe” segmentation I see:
- Health Leader (Huberman, Dr. Lyon, Mark Hyman, Dr. Galpin)
- Information Seeker (Lex Fridman, 1440, The Skimm, Kara and Nate)
- Performance Executive (Dan Go, Sahil Bloom, Mark Manson)
- Industrial Athlete (construction, military, trades content)
- Wellness (general wellness influencers)
- Diet & Nutrition (keto, carnivore, nutrition-focused)
- Athletes (strength, adventure, etc.)
- Salty Mama (mom influencers)
- How did you develop these categories?
-
Channel breakdown I see:
- Podcast (dominant)
- YouTube
- Meta (Instagram/Facebook)
- Email (newsletters)
- How does performance differ by channel type?
-
How do partnerships get structured?
- I see “Annual Booked Spend” ranging from 2.2M (Huberman)
- Flat fees vs. revenue share
- Contract start/end dates - typical duration?
-
Partnership lifecycle:
- What does “Out (Waitlist)” mean?
- Why are some marked “Discontinued”?
- How long from first conversation to “Signed”?
Current Data Sources & Reporting
-
Walk me through your partnership performance spreadsheet:
- Where does each data point come from?
- What’s manual vs. automated?
- How often is it updated?
-
What systems/tools do you use?
- Shopify analytics (confirmed as core platform - Jason/Carlos meetings)
- Source Medium (confirmed - Carlos uses Looker dashboards)
- Carlos mentioned data quality issues requiring manual validation
- Found calculation errors in reports
- Refersion (affiliate platform - Jason meeting mentioned this)
- Any other affiliate platforms?
- Custom tracking tools?
-
How do you attribute revenue to specific partnerships?
- UTM parameters (critical - Carlos mentioned breaking UTM structure causes attribution issues)
- Can you show us your UTM naming convention?
- Source/Medium format (Carlos confirmed: e.g., “andrewhuberman / sponsor”)
- This flows through GA4 last-click attribution into Source Medium
- Promo codes
- Unique landing pages/URLs (e.g., drinklmnt.com/huberman)
- Attribution model: Source Medium uses GA4 last-click attribution (Carlos meeting)
- Is this sufficient for partnership attribution or do you face challenges?
- UTM parameters (critical - Carlos mentioned breaking UTM structure causes attribution issues)
-
Monthly reporting process:
- What metrics do you report?
- How long does it take to compile?
- Who consumes the reports?
Attribution & Tracking Challenges
-
What’s working well with current attribution?
-
What’s not working or feels inaccurate?
-
How do you handle multi-touch attribution?
- Customer sees Huberman podcast, then clicks Skimm newsletter ad
- Who gets credit?
-
How far back can you track historical partnership performance?
-
Are there partners where attribution is particularly challenging?
Key Metrics & KPIs
-
I see these metrics tracked for each partner:
- Monthly Net Revenue (primary sort)
- Revenue vs. Previous Month (% change)
- Monthly ROAS
- Monthly CAC
- Monthly Spend
- YTD Net Revenue, ROAS, CAC, Spend
- Annual Booked Spend
- Where does each data point come from?
-
How are you tracking sessions per partner?
- I don’t see sessions in the Top Partner Monthly export
- Is there another tab with funnel metrics?
- Source Medium integration?
-
Revenue Attribution:
- Is this last-click revenue?
- What’s the attribution window?
- How is this connected to Shopify data?
- Source/Medium naming (e.g., “andrewhuberman / sponsor”) - UTM params?
-
ROAS Calculation:
- What costs are included in “spend”?
- Flat fees, production costs, agency fees?
- Are partner gifts/samples included?
- Carlos uses MER (Marketing Efficiency Ratio) as “true guiding light” because attribution isn’t perfect
- MER = total E-com revenue / all spend
- Do you calculate MER for partnerships vs. attributed ROAS?
- Any discrepancies between the two?
-
CAC Calculation:
- IMPORTANT: Carlos mentioned 3 different CAC definitions exist at LMNT - which one do you use?
- Blended CAC = total performance spend / new customers across all channels (Carlos’s preferred)
- Channel-specific CAC
- Partnership-specific CAC
- Only new customers or blended?
- Does this match up with Carlos’s dashboard?
- How do you identify “new customers” from partnership traffic?
- IMPORTANT: Carlos mentioned 3 different CAC definitions exist at LMNT - which one do you use?
-
What KPIs are you measured on?
- Total partnership revenue targets
- Efficiency metrics (ROAS, CAC thresholds)
- Partner portfolio growth
- Relationship quality metrics?
Partnership Performance Analysis
-
Huberman Scale: 1.2M YTD, $2.2M annual booked
- This is 10x larger than your next partner
- What makes this partnership so successful?
- How do you manage this relationship differently?
- Integration with custom landing page (drinklmnt.com/huberman)?
- Notes mention “H2 agreement, MSA, and LMNT Science interest”
-
How do you identify top-performing partnerships?
- I see you sort by “Monthly Net Revenue”
- Do you also look at ROAS, CAC, trend (% change MoM)?
- Regular review cadence
-
What patterns have you noticed across Tribes?
- Health Leader vs. Information Seeker vs. Performance Executive
- Podcast vs. YouTube vs. Meta vs. Email performance
- Influencer vs. Media company differences
-
Example: The Skimm had high sessions but low conversion (from Oct report)
- How do you make decisions about partnerships like this?
- Is it about brand awareness vs. direct sales?
- Do you have session/conversion data for all partners?
-
Partnership saturation tracking:
- I see some partners marked “Out (Waitlist)”
- How do you decide when to pause vs. reactivate?
- Optimal campaign frequency by partner type?
-
Content Usage Rights: I see tracking for Organic, Paid, None, All
- What does each mean?
- How does this impact performance or cost?
-
Landing Page Types: Generic, Testimonial, Custom
- What’s the difference?
- Does landing page type correlate with performance?
- Who gets custom pages? (Huberman, Arnold, Lex, Dr. Lyon have them)
Partnership Types Deep Dive
-
Sponsored Content (podcasts, newsletters)
- How are these structured?
- Performance benchmarks
- Production/creative process
-
Affiliate Program
- How many affiliates?
- Commission structure
- Top affiliates
-
Brand Campaigns (mentioned in Oct report for 12oz Sparkling)
- How are brand vs. performance campaigns tracked differently?
Funnel & Conversion Analysis
-
From the Oct 2025 report, first-time vs. returning customer ratio dropped from 70/30 to 60/40
- What does this tell you about audience saturation?
- How are you adjusting partnership strategy?
-
How do you track the full funnel per partner?
- Impressions/reach (if available)
- Sessions
- Product page views
- Add to cart
- Checkout
- Purchase
-
Where in the funnel do different partner types perform best/worst?
Data Quality & Challenges
-
What’s the most frustrating part of partnership reporting?
- Carlos spends 10-15 hours/month on manual data compilation - is it similar for you?
-
Where do you feel data is least reliable?
- Carlos found Source Medium calculation errors requiring manual validation
- Do you cross-reference Source Medium against platform exports?
- How often do you find discrepancies?
-
What questions can’t you answer today?
-
How do you validate partnership attribution accuracy?
- Carlos validates monthly (sometimes more) when discrepancies found
- What’s your QA process?
- 90-95% confidence in Source Medium or lower?
Integration with E-commerce
-
How does partnership data flow into Carlos’s e-commerce dashboard?
- I see “Partnerships” as a line item in Shopify dashboard: $25.7M budget (2026)
- Does your 100+ partner tracking roll up into this single line?
- CRITICAL: How do you reconcile between your detailed tracking and Carlos’s aggregate?
- Carlos spends 10-15 hours/month compiling dashboard from 10+ sources
- Does he pull partnership data from you or Source Medium?
- Any discrepancies between your numbers and his?
-
Source/Medium naming convention:
- CONFIRMED: Format like “andrewhuberman / sponsor” (Carlos meeting)
- CONFIRMED: Captured via UTM parameters in source/medium structure
- Flows through GA4 → Source Medium → Carlos’s dashboard
- CRITICAL: Changing UTM structure breaks attribution (Carlos warning)
- How do you ensure UTM consistency across 100+ partners?
- Any governance/documentation for UTM creation?
-
How do you separate partnership-driven sales from organic?
- Attribution windows (what’s the standard window?)
- Overlapping touchpoints
- Carlos is working with MMM (Marketing Mix Modeling) vendor to solve cross-channel attribution
- Example: Meta ad leads to Amazon purchase (can’t attribute properly with last-click)
- Are partnerships facing similar multi-touch attribution challenges?
- Have you been involved in MMM discussions?
-
Do partnerships drive subscription (INSIDER) sign-ups differently than one-time purchases?
- Huberman’s audience vs. other partners
- AOV differences by partner type
-
How do you track customer lifetime value by partnership source?
- Do you have cohort data by partner?
- First order → repeat purchase tracking
Competitive & Industry Context
-
How does LMNT’s partnership approach compare to competitors?
- Athletic Greens
- Other DTC health/supplement brands
-
What partnership innovations are you exploring for 2026?
Agency & Vendor Management
-
I see multiple agencies managing partnerships:
- Moonbeam (Lex Fridman, Matt Walker, Dr. Lyon, etc.)
- Scicomm Media (Huberman, Dr. Galpin)
- Adhesive Media (Industrial athlete content)
- Night (Travel/adventure content)
- Ent Agency, Epic Agency, Glossary Artists, Queen Consult, etc.
- How do you manage so many agency relationships?
- Do agencies have different reporting standards?
-
“Relationship Energy” field - what does this mean?
- How do you measure it?
- Who tracks it?
-
“LLM Status” field - what is this?
- Is this related to AI/large language models?
- How does it relate to partnerships?
-
“Fortification Monthly Summary” - what’s tracked here?
- Examples: “Maintain. Create custom landing page.”
- “Blake to develop 360 partner proposal with Dr. Lyon”
Partner Asset Management
-
Asset tracking: “Partner Assets requested?” “Partner Assets received?”
- What types of assets?
- Who creates them?
- How does this impact performance?
-
Content Shoot Priority: Yes/No/Backup
- What determines priority?
- How often do content shoots happen?
Ideal State Vision
-
If you could see all partnership data in one dashboard, what would it include?
- Partner performance scorecard
- Trend analysis and forecasting (currently manual MoM % calculations?)
- Cohort analysis by acquisition source
- LTV by partner
-
What analyses would help you optimize the partnership portfolio?
- By Tribe, by Channel, by Agency?
-
What would help you negotiate better partnership terms?
-
How would you like to identify which partnerships to scale vs. pause?
Future Roadmap
-
What’s on your partnerships roadmap for 2026?
- I see Annual Booked Spend totals - aggregate targets?
- New partnership types
- Expansion of existing relationships
-
How will partnership data needs evolve?
Data Infrastructure & Technical Questions
-
Access & permissions:
- Team uses SSO via Google Workspace (Jason meeting)
- API credentials stored in LastPass
- Do you have any unique access needs for partnership tools?
-
Data warehouse & reporting:
- We’re evaluating centralized data warehouse options (Snowflake vs. BigQuery)
- Currently using massive spreadsheet - would you want automated dashboards?
- What BI tools have you used? (Looker, Tableau, Mode, Metabase, etc.)
-
ETL & data integration:
- We’re evaluating ETL tools (Fivetran, Airbyte, Stitch)
- What partnership data sources need automated pulls?
- Shopify API
- Source Medium
- Refersion (affiliates)
- Ad platforms
- Others?
-
NetSuite migration (Q4 2026):
- Phil/Finance leading this (Jason meeting)
- Will partnership revenue tracking change?
- Any concerns about data continuity?
-
Forecasting & projections:
- Carlos wants to shift from “target-setting” to true bottoms-up forecasts
- How do you currently forecast partnership revenue?
- What inputs would help? (traffic, conversion rate, AOV by partner type?)
Resources Mentioned/Requested
To be filled out during/after meeting
- Full partnership performance spreadsheet access (not just Top Partner Monthly export)
- Complete list of active partnerships (100+)
- Source/Medium naming convention documentation
- UTM parameter structure and tracking
- Explanation of “LLM Status” field
- Definition of “Relationship Energy”
- Agency contact list and scope of work for each
- Partner landing page examples (Generic vs. Testimonial vs. Custom)
- Content usage rights documentation
- Integration with Carlos’s dashboard (partnerships revenue line item)
Action Items
To be filled out during/after meeting
Blake
- [ ]
Brainforge (Uttam/Awaish)
- [ ]
Shivani
- [ ]
Notes
Space for additional notes during the meeting
Key Insights
Attribution Model Opportunities
Quick Win Ideas
Partnership Segments to Analyze
- Health Leader (Huberman 4.9K, Mark Hyman, Dr. Galpin, etc.)
- Information Seekers (Lex Fridman $5.5K, 1440, The Skimm, Kara and Nate)
- Performance Executives (Dan Go, Sahil Bloom, Mark Manson, Arnold $5K)
- Industrial Athlete (construction, military, trades - unique LMNT segment)
- Wellness (general wellness influencers)
- Diet & Nutrition (keto, carnivore, nutrition focus)
- Athletes (strength, adventure, endurance)
- Salty Mama (mom/family influencers)
Agency Relationships
- Moonbeam (largest portfolio - Lex, Matt Walker, Dr. Lyon, etc.)
- Scicomm Media (Huberman, Dr. Galpin - science-focused)
- Adhesive Media (Industrial Athlete content)
- Night (travel/adventure creators)
- Ent Agency (Meta creators)
- Multiple others (Epic, Glossary Artists, Queen Consult, etc.)