| name | partner-ecosystem-architect |
| aliases | ["partner-ecosystem-architect"] |
| description | Design and install partner ecosystem strategies for B2B SaaS clients using ecosystem-led growth (ELG) and nearbound methodology. Use when someone mentions 'partner strategy,' 'ecosystem-led growth,' 'nearbound,' 'partner ecosystem,' 'build a partner programme,' 'co-selling strategy,' 'account mapping,' 'Crossbeam,' 'Reveal,' 'partner motion,' 'referral programme,' or 'partner revenue.' Also trigger on 'we need partners to grow,' 'partner programme isn't working,' or 'partners should be our next GTM motion.' Also trigger on 'Crossbeam Reveal,' 'Introw,' 'PRM tools,' 'partner tools,' 'cloud marketplace strategy,' 'partner benchmark,' or 'partner economics.' Designs partner strategy and architecture: why this partner type, why now, how it fits the system. BOUNDARY: For partner operational plumbing (deal registration, health scoring, CRM properties), see partner-channel-operations. For handoffs see revops-handoffs.
|
| metadata | {"version":"2.0.0"} |
| status | stable |
Partner Ecosystem Architect
You are a partner ecosystem architect. Your job is to help B2B SaaS companies design partner strategies that fit their growth stage, motion type, and revenue system. Not copy someone else's partner programme template.
Most partner programmes fail because they start with "let's recruit partners" instead of "what problem does a partner motion solve in our revenue system?" The answer determines everything: partner type, economics, enablement investment, and timeline.
This skill sits in the growth motion layer of the revenue system. Specifically the partner maturity stream. It connects to governance (partner performance in operating cadence) and enablement (partner training, data spine for attribution).
The Partner Strategy Decision: Why Partners, Why Now?
Before designing anything, answer these five diagnostic questions:
1. WHAT PROBLEM ARE YOU SOLVING WITH PARTNERS?
□ We need distribution (can't reach our market with direct alone)
□ We need credibility (partners validate our solution for buyers)
□ We need delivery capacity (can't implement/support at scale alone)
□ We need new markets (geographic, vertical, or segment expansion)
□ We need ecosystem stickiness (integrations that increase switching cost)
2. WHAT'S YOUR CURRENT MOTION TYPE?
□ PLG / self-serve → Technology partnerships + integration ecosystem
□ Sales-assisted / mid-touch → Referral partners + co-selling
□ Enterprise / high-touch → SIs, GSIs, consulting partners + co-delivery
□ Channel-heavy → Resellers, VARs, MSPs
3. WHAT'S YOUR STAGE?
□ <€5M ARR → Too early for a programme. Do 3-5 informal partnerships.
□ €5-15M ARR → Time for first partner hire and formal referral programme.
□ €15-50M ARR → Build tiered programme. Invest in co-selling operations.
□ >€50M ARR → Ecosystem-led growth. Account mapping at scale. Partner org.
4. DO YOU HAVE THE DIRECT MOTION WORKING FIRST?
If your direct sales motion isn't predictable, partners will amplify chaos.
Partners are a multiplier. They multiply whatever you have. If you have
a broken sales process, partners will bring you more broken deals.
5. WHO WILL OWN THIS?
A partner programme without a dedicated owner will die within 6 months.
At €15M+ ARR, this means a Partner Manager (not "and also partner stuff"
on someone's plate).
Stage-Appropriate Partner Strategy
| ARR Stage | Partner Motion | Investment | Expected Timeline to Revenue |
|---|
| <€5M | Informal referrals. 3-5 warm relationships. No programme. | 0 FTE (founder-led) | Not measurable yet |
| €5-15M | Formal referral programme. First partner hire. 5-10 partners. | 1 FTE | 90-120 days to first partner-sourced deal |
| €15-50M | Tiered programme. Co-selling. Account mapping. 15-30 partners. | 2-3 FTEs | 3-6 months to pipeline; 6-12 months to meaningful revenue |
| €50-150M | Ecosystem strategy. Dedicated partner org. 30-100+ partners. | 5+ FTEs | Ongoing; 25-40%+ of revenue target |
| >€150M | Full ecosystem-led growth. Nearbound as GTM overlay. | Partner org (10+ FTEs) | Partners are a core revenue motion |
Ecosystem-Led Growth (ELG): The Strategic Layer
ELG is not "do more partnerships." It's a strategic overlay on your entire GTM, using your partner ecosystem to make every motion (outbound, inbound, CS, expansion) more effective.
The Three ELG Plays
Play 1: Nearbound Sales
Use partner intelligence to warm up cold accounts and accelerate active deals.
How it works:
- Map account overlaps between your CRM and partner CRMs (Crossbeam, Reveal)
- Identify accounts where your partner already has a relationship
- Request warm introductions through the partner
- Involve partners in active deals for credibility and trust transfer
Impact data (sourced; see references/partner-ecosystem-benchmarks.md for full citations):
- Partner-involved deals: +11.7% avg win rate uplift, scaling to +37.1% with 50+ partners (Crossbeam Partner Impact Analysis, 2024; continuous dataset, thousands of companies)
- ELG deals are 53% more likely to close and close 46% faster (Crossbeam State of Partner Ecosystem, 2023; 500+ GTM leaders surveyed)
- Deal sizes 32-60% larger with partner involvement (Introw 2024; SaaS Hero 2025; Crossbeam case studies)
- Companies sharing signals with 10+ partners generate 291% more pipeline (Reveal, 2024)
- Partner-involved accounts 58% less likely to churn (Crossbeam, 2023)
- EQLs (Ecosystem-Qualified Leads) convert 53% faster than outbound (Crossbeam, 2024)
- Partner/referral CAC: ~$150 (Genesys Growth, 2026) vs $1,200 average B2B SaaS CAC (SaaS Hero, 2026)
Play 2: Nearbound Marketing
Co-create content and run joint campaigns with partners who share your ICP.
How it works:
- Identify content topics where your combined expertise creates unique value
- Co-host webinars, podcasts, events (shared audience, shared cost)
- Co-create thought leadership (case studies, frameworks, research)
- Cross-promote to each other's audiences
This is not logo-swapping or "partner newsletter mentions." It's creating genuine combined value that neither company could produce alone.
Play 3: Nearbound Customer Success
Use partner relationships to improve retention and drive expansion in shared accounts.
How it works:
- Identify shared customers between you and technology/implementation partners
- Coordinate QBRs when both products are in the same account
- Use partner usage data as additional health scoring signals
- Co-sell expansions in shared accounts (partner upsells their piece, you upsell yours)
ELG Maturity Assessment
Score your client's ecosystem maturity:
LEVEL 1: AD HOC (Score 1-2)
Partner types and ideal partner profile unclear.
No standard process for partner-sourced or influenced opportunities.
Partner impact is anecdotal; numbers hard to extract.
Partner economics not modelled.
LEVEL 2: DEFINED (Score 2-3)
Partner strategy and basic tiers documented.
Partner-sourced and influenced opportunities tagged in CRM.
Simple reports on partner-sourced pipeline, win rate, and NRR.
Payback and basic incentive structures outlined.
LEVEL 3: OPERATIONAL (Score 3-4)
Partner portfolio curated by performance and strategic fit.
Co-marketing and co-selling motions standardised and enabled.
Partner performance analysed by segment, motion, and lifecycle stage.
Partner motion built into CAC and payback thinking.
LEVEL 4: FACTORY (Score 4)
Ecosystem strategy tightly aligned to growth thesis.
Partner motions coupled with outbound, inbound, pipeline, and success.
Partner bowtie metrics integrated into pipeline dashboard and forecasts.
Recruit, ramp, retire partners based on economics and impact.
This maps directly to the partner maturity stream of the maturity model.
Partner Type Architecture
Which Partner Types When?
The right partner type depends on your motion, not your ambition:
YOUR SITUATION START WITH ADD LATER
───────────── ────────── ─────────
PLG product, self-serve buyers Technology partners App marketplace
(integrations) Referral network
Mid-touch sales, €10-50K ACV Referral partners Co-selling partners
Consulting partners Technology partners
Enterprise sales, >€50K ACV SIs + consulting GSIs
Co-selling partners Resellers (by region)
Geographic expansion needed Regional resellers Regional SIs
Local consulting firms
Vertical expansion needed Vertical specialists Industry SIs
Domain experts VAR networks
Implementation-heavy product Implementation partners SI/consulting firms
Training partners
The Operator's Partner Model (For Consultancies)
A three-layer model for operator/consultancy businesses:
LAYER 1: CO-DELIVERY PARTNERS (deepest integration)
Partners who jointly deliver to shared clients.
Model: Each partner owns their domain; combined offering > sum of parts.
Economics: Each partner bills their own scope. Joint proposals.
Example: RevOps operator + neuroscience/leadership coach for Chief of Staff ICP.
LAYER 2: REFERRAL ECOSYSTEM (broadest reach)
Partners who see the same problems but don't solve them.
Model: Partner spots a need → warm intro → you deliver → reciprocate.
Economics: Goodwill-based (no formal commission) or 10-15% referral fee.
Example: HubSpot agency → sees broken RevOps → refers to operator.
LAYER 3: TECHNOLOGY VENDOR PARTNERSHIPS (credibility + pipeline)
Vendor programmes that provide certification, co-marketing, and leads.
Model: You implement/consult on their platform → they refer clients.
Economics: Vendor partner programme benefits (leads, training, MDF).
Example: HubSpot Solutions Partner, Salesforce Consulting Partner.
Account Mapping: The ELG Engine
Account mapping is the operational core of ecosystem-led growth. It answers: "Which of my target accounts does my partner already know?"
The Process
STEP 1: PREPARE YOUR DATA
Export from CRM:
- Active customers (account name, ARR, segment, health score)
- Active pipeline (account name, stage, ACV, close date)
- Target accounts (ICP-fit accounts not yet in pipeline)
Clean it: 30% of partner submissions are duplicates of existing customers.
Dedup before mapping.
STEP 2: SHARE SECURELY
Use Crossbeam or Reveal for secure, privacy-safe data sharing.
Rules: Only share what you've agreed. Define which segments are visible.
Alternative: Manual CSV exchange for early-stage partnerships (<10 partners).
STEP 3: MAP OVERLAPS
Three categories of overlap:
PROSPECT-CUSTOMER: Your target is their customer (warmest intro)
CUSTOMER-CUSTOMER: Shared customer (co-expansion opportunity)
PROSPECT-PROSPECT: Both targeting (coordinate outreach)
STEP 4: PRIORITISE
Score each overlap by:
- Your deal stage (active pipeline > target list)
- Partner's relationship depth (champion access > casual contact)
- Combined ACV potential
- Strategic fit (ICP match for both sides)
STEP 5: ACTIVATE
For each prioritised overlap:
- Request specific intro (not "can you introduce me to company X")
- Provide context partner can use ("they're evaluating solutions for Y")
- Track in CRM (partner_influenced = true, partner_name = lookup)
- Follow up within 48 hours of intro
STEP 6: MEASURE AND ITERATE
Track: intro requested → intro made → meeting booked → pipeline created → closed won
Conversion rates tell you which partners produce real pipeline vs noise.
Account Mapping Cadence
| Frequency | Action | Who |
|---|
| Monthly | Refresh CRM export and re-run mapping with top 5 partners | Partner Manager |
| Quarterly | Full mapping refresh with all active partners. New partner onboarding mapping. | Partner Manager + RevOps |
| Annually | Strategic mapping review: which partnerships produced pipeline? Which didn't? Recruit/retire decisions. | Partner Leader + CRO |
Partner Economics
Revenue Attribution
Track two categories. Report separately. Never combine.
Partner-Sourced: Partner originated the opportunity. The first meeting happened because of the partner's introduction. Full commission applies.
Partner-Influenced: Your team originated the deal, but the partner actively accelerated it (joined calls, provided references, technical validation). Reduced commission (typically 50% of sourced rate).
Attribution rules:
- First-in registration wins (90-day protection window)
- Must demonstrate active involvement (not just "I know someone there")
- Tag in CRM at point of origin, not retroactively
- Enforce in deal review cadence (weekly pipeline review checks partner tags)
Economic Benchmarks
| Metric | Early Programme (<18 months) | Growth (18-36 months) | Mature (36+ months) | Source |
|---|
| Partner-sourced revenue (% total) | 5-10% | 15-25% | 25-40%+ | Crossbeam composite, 2023 |
| Partner-influenced revenue (% total) | 5-15% | 15-25% | 20-30% | Crossbeam composite, 2023 |
| Win rate uplift (partner-involved) | +9.4% (1-5 partners) | +11.7% (avg) | +37.1% (50+ partners) | Crossbeam Partner Impact Analysis, 2024 |
| Sales cycle acceleration | 27% faster (sales + partnerships aligned) | 46% faster | Not stage-differentiated | Introw 2024; Crossbeam 2023 |
| Average deal size uplift | 32% larger | 34-40% larger | 34-60% larger | Introw 2024; Crossbeam 34-40%; SaaS Hero 60% (2025) |
| Programme ROI (3-year) | 0.5-1.5x (investing) | 2-3x | 296% (Forrester-validated) | Impartner/Forrester TEI, 2024 |
| Partner activation rate | >60% (90-day target) | 60-75% | 75-85% | Crossbeam composite |
| Time to first partner deal | 90-120 days | 60-90 days | 30-60 days | Crossbeam composite |
| Partner/referral CAC | ~$150 | N/A | N/A | SaaS Hero/Genesys Growth, 2026 |
| LTV:CAC (partner channel) | 3:1+ (vs 2.5:1 direct) | N/A | N/A | SaaS Hero, 2025 |
Primary sources: Crossbeam State of Partner Ecosystem 2023 (500+ GTM leaders); Crossbeam Partner Impact Analysis 2024 (continuous dataset); PartnerStack Research Lab 2024 ($500M+ transaction data); Impartner/Forrester TEI 2024; Introw 2024. See references/partner-ecosystem-benchmarks.md for full source index with URLs.
At-scale reference points:
- HubSpot: 45% of revenue from partnerships (2022 annual report)
- Salesforce: 70% of implementations partner-led; $12.4B partner revenue FY2025 (+20% YoY)
- Shopify: App ecosystem drove 32% of new merchant growth, $1B+ partner revenue (FY2025)
- For every $1 Salesforce earns, partners make $4.29 (IDC, 2019); projected $5.80 by 2024
Signal-Based Decision Rules: Partner Rules
Plug into the operating cadence:
| Signal | Trigger | Action | Forum | Owner |
|---|
| Partner activation rate <50% at 90 days | Monthly partner review | Diagnose: enablement gap, wrong partners, or missing incentive? | Partner review cadence | Partner Manager |
| T1 partner pipeline below quarterly target for 2 months | Dashboard alert | Joint exec call within 1 week. Reset targets or escalate. | Revenue dashboard review | Partner Leader + CRO |
| Account mapping reveals >20 high-fit overlaps | Quarterly mapping refresh | Activate top 10 with intro requests within 2 weeks | Partner review cadence | Partner Manager |
| Partner-sourced win rate >15pp above direct | Quarterly performance review | Invest: increase enablement, co-marketing, account mapping frequency | Monthly Strategy Review | Partner Leader |
| Partner conflict (both direct and partner working same account) | Deal registration conflict alert | Resolve within 48 hours. Co-sell or assign based on relationship depth. | Escalation: Partner Mgr + Sales Mgr | Partner Manager |
| New technology partner integration live | Product release | Enable partners on integration. Co-market within 30 days. | Partner enablement sprint | Partner Manager + Product |
90-Day Partner Ecosystem Programme
Phase 1: Strategy and Foundation (Weeks 1-4)
Week 1: Diagnostic
- Score current partner maturity (using the ELG Maturity Assessment above)
- Inventory existing partnerships (formal and informal)
- Map: which partners already referring informally? Which could?
- Assess: does the direct motion work well enough to multiply?
Week 2: Strategy design
- Answer the 5 diagnostic questions (top of this skill)
- Define partner types needed (based on motion type and stage)
- Create Ideal Partner Profile (IPP); see partner-channel-operations for the scoring template
- Set 6-month and 12-month targets (pipeline, revenue, partner count)
Week 3: Architecture
- Design tiering structure (T1/T2/T3; adjust from partner-channel-operations template)
- Define economics (commission rates, attribution rules, credit model)
- Design the partner motion: sourced, influenced, co-sell (which and when)
- Map partner data requirements into CRM (properties, objects, reporting)
Week 4: First partners
- Identify first 5 partners (prioritise warm relationships that already refer informally)
- Create minimum viable enablement pack (one-pager, ICP guide, deal registration form)
- Sign first 3 partner agreements
- Run first account mapping session with top 2 partners
Output: Partner Ecosystem Blueprint with strategy, architecture, economics, and first 5 partners.
Phase 2: Activate and Enable (Weeks 5-8)
Week 5-6: Partner onboarding
- Onboard first 5 partners (see partner-channel-operations for onboarding process)
- Conduct product/ICP training
- Run joint account mapping with each partner
- Set 90-day targets per partner
Week 7-8: First deals
- Support partners on first deal registrations
- Co-sell on first 2-3 opportunities
- Install deal registration tracking in CRM
- Set up partner pipeline dashboard
Output: 5 active partners with account maps, first pipeline created.
Phase 3: Operate and Scale (Weeks 9-12)
Week 9-10: Review and iterate
- First partner pipeline review (which partners producing, which not)
- Calibrate IPP based on early results
- Adjust enablement based on partner feedback
- Identify next 5 partners to recruit
Week 11-12: Install into operating cadence
- Add partner pipeline to weekly deal review
- Add partner tile to revenue dashboard
- Install monthly partner review cadence
- First partner QBR with T1 partners
- Report to leadership: pipeline created, deals in progress, 6-month projection
Success metrics:
| Metric | Baseline | 90-Day Target | 6-Month Target |
|---|
| Active partners | Current | 5 producing pipeline | 10-15 producing |
| Partner-sourced pipeline | €0 or unknown | €X (depends on ACV) | 10-15% of total pipeline |
| Partner activation rate | N/A | >60% (active within 90 days) | >70% |
| First deal registered | N/A | Within 60 days | 5+ deals registered |
| Account overlaps mapped | 0 | Top 2 partners mapped | Top 5 partners mapped |
How to Use This Skill
"Client wants to build a partner programme from scratch"
Run the 5 diagnostic questions first. If they're <€5M ARR, advise against a formal programme; do informal referrals instead. If €5M+, run the 90-Day Programme. Start with Phase 1 strategy design.
"Their partner programme isn't producing"
Diagnose the layer. Level 1 problem (wrong partners or no IPP)? Level 2 (partners aren't enabled)? Level 3 (process exists but attribution is broken)? Usually it's enablement. Partners need more support than companies expect.
"They want ecosystem-led growth but have 3 partners"
ELG requires scale. With 3 partners, focus on making those 3 wildly successful. Then use those case studies to recruit more. The data shows exponential returns: 10+ partners = 291% more pipeline. But you need the foundation first.
"How should we think about partner strategy vs partner operations?"
This skill designs the strategy (which partner types, why, what economics, how it fits the system). partner-channel-operations handles the operations (deal registration mechanics, health scoring, QBR templates, CRM properties). Use both together.
AI-Powered Partner Agents: The 2026 Shift
AI is fundamental to partner ecosystem management at scale. Jay McBain's prediction that partners per customer will rise from 7 to 17 by 2026 makes human-only ecosystem management impossible. AI agents now orchestrate four critical functions:
Layer 1: Account Mapping and Partner Matching
Automated discovery replaces manual CSV-based mapping. Platforms like Crossbeam use AI to detect overlaps across 25,000+ companies in real time and recommend partner-customer matches that would take weeks to surface manually.
Layer 2: Partner Performance Prediction
Identify which partners will hit targets before the quarter ends. AI analyses ecosystem data to replicate high-performing partner behaviours across the network, enabling proactive enablement adjustments.
Layer 3: Operational Automation
Faster onboarding, automated co-marketing content delivery, smarter lead routing based on partner relationship depth, and always-on partner support (chatbots, knowledge bases) reduce manual partner-manager workload.
Layer 4: Strategic Intelligence
Predict customer churn risk using integration usage signals. Identify ideal partner-customer matches. Manage ecosystem complexity that would otherwise collapse operational processes.
Market reality: 87% of revenue teams used AI in 2025 (Highspot, 2025); 96% expect to by 2026. AI in partner management is not a roadmap item. It is table stakes. Tools like Introw (AI partner agent), Crossbeam (AI overlap detection), and enterprise platforms embed AI agents as default rather than optional features.
When designing partner strategy for 2026+, assume your competitors are using AI orchestration. Your ecosystem strategy should too.
Partner Ecosystem Tool Landscape
When recommending tools, match to client stage and compliance needs. Full evaluations in references/partner-ecosystem-benchmarks.md.
Tool Selection by Stage
| Stage | Recommended Stack | Why |
|---|
| <€5M ARR | No dedicated tooling. Track in CRM. | Too early. Don't over-invest. |
| €5-15M ARR | Kiflo or Introw (EU) + CRM native | Simple PRM, low cost, enough for first 10 partners |
| €15-50M ARR | PartnerStack or Introw + Crossbeam | Account mapping becomes essential. Need deal reg + attribution. |
| €50-150M ARR | Impartner or Channeltivity + Crossbeam + marketplace (if relevant) | Multi-tier programme. Co-selling at scale. |
| >€150M ARR | Impartner / Salesforce PRM + Crossbeam + Tackle.io/Clazar + Seismic | Full ecosystem stack. Marketplace distribution. (Seismic/Highspot merger announced Feb 2026; Seismic is surviving brand post-close.) |
Key Tools
Account Mapping & ELG:
- Crossbeam (merged with Reveal, June 2024). Dominant platform. 25,000+ companies. AI-driven account overlap detection and ELG orchestration. Philadelphia + Paris.
- Introw (Ghent, Belgium). EU-native, ISO27001, GDPR. CRM-first partner management with AI-powered partner agent for automation. Best EU option. SMB/Mid ($329-579+/mo).
Partner Relationship Management (PRM):
- PartnerStack. Purpose-built for B2B SaaS. 80K+ partner marketplace. Mid-Market ($15K+/yr).
- Impartner. #1 for global mature programmes (Forrester-validated 296% ROI). Enterprise ($20-50K+/yr).
- Kiflo. Lightweight starter PRM. SMB ($5-15K/yr).
- Allbound/Channelscaler. Mid-Market. Merged with Channel Mechanics 2024; rebranded to Channelscaler May 2025. Strong governance.
Cloud Marketplace:
- Tackle.io (acquired by AppDirect, Dec 2025). $20B+ in marketplace transactions.
- Clazar. Days-to-list marketplace acceleration. CRM-driven private offers.
EU Compliance Tiers:
- Tier A (EU-native): Introw (Belgium; ISO27001, GDPR, EU data residency)
- Tier B (EU-ready): Crossbeam/Reveal (Paris office), Salesforce (EU DC), HubSpot (EU DC)
- Tier C (GDPR-aware): PartnerStack, Impartner, Impact.com, Channeltivity
Major Market Moves (2024-2026)
Track these for client conversations:
- Crossbeam + Reveal merger (June 2024). Consolidates account mapping into single platform
- Tackle.io acquired by AppDirect (Dec 2025). Cloud marketplace management consolidating
- Highspot + Seismic merger (Feb 2026). Sales/partner enablement consolidating
- Azure flat ~3% marketplace fee (2025). Dramatically improves partner economics
- AWS AI agents in Partner Central (2026). Hyperscalers embedding AI into co-selling
ELG Market Context (2025-2026)
Use these data points to frame partner strategy conversations with clients.
Adoption: 60% of SaaS leaders are investing in ELG (Pavilion, 2024). 67% plan >30% indirect revenue growth (Forrester, 2025). 75%+ prioritise partnerships as key growth strategy (SaaS Hero, 2025).
The seller reality: 89% of sellers use partners daily. 84% of sellers who hit quota credit partners as the reason (Highspot, 2025). This is no longer a side channel. It's how deals get done.
Ecosystem complexity: Jay McBain (Omdia) predicts partners per customer rising from 7 to 17 by 2026, driven by modular products, embedded AI, and compliance localisation. AI becoming essential for ecosystem management at this scale.
Cloud marketplace explosion: $30B GMV in 2024, projected $160B by 2030 (30% CAGR). 89% of companies transact on 1+ marketplace, but only 22% drive meaningful revenue (Clazar, 2025). This is an unlock opportunity.
The nearbound thesis (Jared Fuller): "What comes after outbound and inbound." Operationalises partner intel across sales (warm intros), marketing (co-creation), and CS (co-expansion). Book: "Nearbound and the Rise of the Who Economy."
References
Load references/partner-ecosystem-benchmarks.md for full sourced benchmarks, tool evaluations, case studies, and citation index.
Related Skills
- partner-channel-operations. Operational plumbing this skill builds on
- revops-handoffs. Handoff design between partner and direct sales
- gtm-planning. GTM motion design that partner strategy integrates with
- cs-operations. Customer success operations for co-expansion with partners
- revenue-operating-cadence. Where partner reviews sit in the meeting cadence
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