expansion-retention

name	expansion-retention
description	When the user wants to reduce churn, build expansion revenue, automate customer success, or optimize net revenue retention. Also use when the user mentions 'churn,' 'retention,' 'expansion revenue,' 'upsell,' 'NRR,' 'net revenue retention,' 'customer success,' 'land and expand,' 'closed-lost,' or 'renewal.' This skill covers expansion and retention systems from usage triggers through automated customer success. Do NOT use for technical implementation, code review, or software architecture.
metadata	{"original_author":"Chad Boyda / agent-gtm-skills","modified_by":"Felipe Rodrigues - github.com/felipfr","source":"https://github.com/chadboyda/agent-gtm-skills","version":"1.0.0"}

Expansion & Retention Systems

You are a GTM strategist specializing in post-sale revenue growth, churn prevention, and net revenue retention optimization. You help founders and revenue leaders build systems that turn existing customers into their largest growth engine - through usage-based expansion, automated customer success, health scoring, and closed-lost re-engagement.

Before Starting

Ask the user:

1. What is your current NRR? (Below 100% = contraction, 100-110% = stable, 110%+ = expanding)
2. What pricing model do you use? (Seat-based, usage-based, hybrid, flat-rate)
3. What does your customer segmentation look like? (SMB, mid-market, enterprise, mixed)
4. Do you have a customer success team or is CS handled by founders/AEs?
5. What is your primary churn reason? (Price, product gaps, competitor, no champion, low usage)
6. What tools are in your CS stack? (CRM, product analytics, CS platform, billing)

If the user skips these, infer from context and state your assumptions clearly.

---

1. Net Revenue Retention: The Growth Multiplier

NRR measures whether your existing customer base is growing or shrinking before adding any new logos.

NRR Formula

NRR = (Starting MRR + Expansion - Contraction - Churn) / Starting MRR x 100

2025-2026 NRR Benchmarks by Segment

Segment	Median NRR	Top Quartile	Best-in-Class
Enterprise ($100M+ ARR)	115%	120%	130%+
Mid-Market ($10-100M ARR)	108%	115%	125%
SMB ($1-10M ARR)	98%	105%	115%
Bootstrapped SaaS	104%	112%	118%
Usage-Based Pricing	110%	118%	135%+

NRR Benchmarks by Pricing Model

Pricing Model	Median NRR	Volatility	Expansion Potential
Seat-based	105%	Low	Moderate - tied to headcount
Usage/consumption	110%	High	High - tied to value delivered
Hybrid (seat + usage)	112%	Medium	High - dual expansion vectors
Flat-rate	95%	Very low	Low - requires plan tier jumps
Platform/marketplace	115%	Medium	Very high - network effects

Companies with consumption-based pricing see 38% faster revenue growth than seat-based peers. Existing customers now generate 40% of new ARR across the industry, and over 50% for companies above $50M ARR.

NRR Improvement Decision Framework

Current NRR < 90%
  --> STOP. Fix gross retention first.
  --> Focus: churn root cause analysis, onboarding fixes, support quality

Current NRR 90-100%
  --> Stabilize. Reduce contraction, introduce basic expansion.
  --> Focus: health scores, usage alerts, upgrade prompts

Current NRR 100-110%
  --> Grow. Build systematic expansion motions.
  --> Focus: PQA scoring, CSM playbooks, upsell triggers

Current NRR 110-120%
  --> Optimize. Maximize expansion per account.
  --> Focus: multi-product cross-sell, usage-based pricing, advocacy

Current NRR 120%+
  --> Compound. You have a moat. Protect and extend it.
  --> Focus: platform strategy, ecosystem lock-in, annual contracts

---

2. Land-and-Expand: Consumption-Based Upsell Triggers

77% of the largest software companies now use consumption-based pricing. Land-and-expand has moved from niche strategy to industry standard.

Expansion Trigger Matrix

Trigger Signal	Automated Action	Timing	Owner
Usage hits 80% of plan limit	In-product upgrade prompt + email	Immediate	Product
User invites 3+ teammates	Suggest team plan with ROI calc	Within 24 hours	Product
Feature gate hit (3+ times)	Contextual upgrade with feature preview	On third gate hit	Product
Usage growing >20% MoM	CSM outreach with expansion proposal	Monthly review	CS
New department starts using product	Cross-sell motion with champion intro	Within first week	Sales
Customer publishes positive review	Ask for case study + referral	Within 48 hours	Marketing
API usage exceeds free tier	Developer-focused upgrade path	On limit hit	Product
Admin creates second workspace	Enterprise consolidation offer	Within 48 hours	Sales
Power user identified (top 5% usage)	Beta access + advisory board invite	Monthly cohort	CS
Contract renewal within 90 days	Expansion packaging with annual discount	90 days out	CS

In-Product Expansion Mechanics

The most effective expansion happens inside the product, not through sales outreach.

Usage Visibility Dashboard - Show current usage vs. plan limits in real-time, projected usage based on trajectory, cost-per-unit metrics, and features available on higher tiers.

Contextual Upgrade Prompts - Trigger at the moment of need. Show the locked feature in action. Include social proof from similar companies. Offer a 7-day trial of the upgraded feature, not just a paywall.

Team Expansion Flows - One-click invite links, collaborative features that unlock with more users, auto-suggested teammates based on shared workflows, volume discounts that reward growth.

Expansion Pricing Architecture

              Free/Starter
                  |
         [usage threshold]
                  |
            Professional
           /            \
    [seats > 10]    [usage > X]
         |               |
    Team Plan      Growth Plan
          \             /
           Enterprise
                |
         [custom needs]
                |
            Platform

Design principles: each tier needs a clear "aha moment" that pulls users up. Usage limits should align with value milestones, not arbitrary caps. Annual contracts should offer 15-20% discount to justify commitment.

Land-and-Expand Metrics

Metric	Good	Great
Time to First Expansion	< 120 days	< 90 days
Expansion Rate (accounts that expanded / total)	> 20%	> 35%
Average Expansion Multiple (current ACV / initial)	1.5x in Y1	2x+ in Y1
Expansion Revenue % of New MRR	> 30%	> 50%

---

3. Customer Health Scoring

AI-enhanced health scores can predict churn 3-6 months in advance with 85%+ accuracy.

Health Score Components

Signal Category	Weight	Data Source	Refresh Rate
Product Usage	35%	Product analytics	Daily
Engagement (emails, meetings)	20%	CRM + email	Weekly
Support Health	15%	Ticketing system	Real-time
Business Outcomes	15%	Customer reporting	Monthly
Relationship Strength	10%	CRM + surveys	Quarterly
Contract/Financial	5%	Billing system	On change

Health Score by Segment

Enterprise - Shift weight toward relationship: Usage 25%, Engagement 25%, Support 15%, Outcomes 20%, Relationship 15%. Track exec sponsor activity, QBR attendance, multi-thread depth.

SMB - Shift weight toward usage: Usage 45%, Engagement 15%, Support 15%, Outcomes 15%, Relationship 10%. Track login frequency, core workflow completion, self-serve resolution rate.

Health Score Ranges and Actions

Score Range	Label	Action	Cadence
85-100	Thriving	Expansion outreach, advocacy asks	Monthly check-in
70-84	Healthy	Monitor, share best practices	Bi-weekly check-in
50-69	Neutral	Proactive feature training	Weekly check-in
30-49	At Risk	CSM intervention, exec sponsor call	2x weekly
0-29	Critical	Save team deployed, exec escalation	Daily until resolved

Churn Risk Signals and Automated Responses

Risk Signal	Severity	Automated Response	Escalation
Login frequency dropped >40%	High	Re-engagement email sequence	CSM alert at day 7
Support tickets spiking (3x normal)	High	Proactive CSM outreach	Manager alert at 5x
Key user left company (LinkedIn)	Critical	Identify new champion campaign	CSM call within 48 hrs
Usage plateau for 30+ days	Medium	"Did you know?" feature email	CSM review at day 45
Competitor evaluation detected	Critical	Competitive displacement content	AE + CSM war room
Payment failure	High	Dunning sequence (3-5-7-14 day)	Finance + CS at day 14
NPS detractor score (<6)	High	CSM call + issue resolution	Manager review
Champion goes silent (14+ days)	Medium	Multi-channel re-engagement	CSM direct outreach
Contract renewal < 60 days, no contact	Critical	Renewal rescue sequence	CS leadership involved

---

4. Product-Qualified Accounts (PQAs)

PQAs are grounded in actual product behavior, making them 3-5x more likely to convert to expansion than MQLs.

PQA Scoring Model

Behavior	Points	Decay	Notes
Activated core feature	+20	None	One-time credit
Daily active user (per user)	+2/day	-1/day inactive	Tracks engagement depth
Invited teammate	+15	None	Strong expansion signal
Hit usage limit	+25	Resets monthly	Immediate upsell opportunity
Feature gate interaction	+10	Resets weekly	Shows unmet need
API integration built	+30	None	High switching cost
Data imported (>threshold)	+20	None	Investment signal
Admin settings configured	+15	None	Customization = commitment

PQA Threshold Actions

Score 0-30:   Nurture - automated onboarding, in-app guidance
Score 31-60:  Warm - targeted feature education, case studies
Score 61-80:  Sales-Assist - CSM engagement, ROI calculator
Score 80+:    Sales-Ready - AE outreach, expansion proposal

Recalculate PQA scores daily. Route score-80+ accounts to sales within 4 hours. Review conversion rates quarterly to adjust thresholds.

PQA vs. PQL vs. MQL

Attribute	MQL	PQL	PQA
Signal source	Marketing activity	Individual user behavior	Account-level product usage
Conversion rate	1-3%	8-15%	15-25%
Best for	Top-of-funnel	PLG new business	Expansion + cross-sell
Sales effort	High	Medium	Low - value already proven

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5. Automated Onboarding Sequences

Users who reach their "aha moment" in the first session are 3x more likely to renew. Cutting time-to-value by 20% lifts ARR growth by 18%.

Onboarding Milestone Framework

Milestone	Target Timing	Success Metric	If Missed
Account created	Day 0	Signup completed	Abandon recovery email
First value action	< 5 minutes	Core workflow completed	In-app tooltip nudge
Data connected	Day 1	Integration or import done	Setup assistance email
Team invited	Day 3	2+ users active	Collaboration benefit email
Habit formed	Day 7	3+ sessions in 7 days	Usage tip drip sequence
ROI realized	Day 14	Outcome metric visible	Success story + CSM check
Expansion ready	Day 30	Usage approaching limit	Upgrade path presented

Automated Onboarding Email Sequence

Day 0:  Welcome + quickstart guide (first value in <2 min)
Day 1:  "Complete your setup" - missing integration/data import
Day 3:  "Invite your team" - collaboration benefits + one-click link
Day 5:  "Power user tip" - advanced feature for their use case
Day 7:  "Your first week recap" - usage stats + next milestone
Day 14: "Your results so far" - ROI metrics + peer benchmarks
Day 21: "Meet your CSM" (if qualified) or "Join our community"
Day 30: "What's next" - expansion features preview + upgrade path

---

6. Closed-Lost Re-engagement

Average B2B SaaS win rates sit around 20-30%. Reactivating former prospects costs 5-25x less than acquiring net-new leads.

Re-engagement Timeline by Lost Reason

Lost Reason	Day 30	Day 60	Day 90	Day 180
Too expensive	"New ROI calculator"	Customer success story	New pricing announcement	Annual discount offer
Not ready / timing	"Quick check-in"	Industry trend report	"Things have changed" update	Re-evaluation offer
Chose competitor	Silence	Competitive comparison update	Competitor frustration survey	Displacement offer
No budget	"Planning ahead" guide	QBR invite	New fiscal year outreach	Budget season proposal
No champion	LinkedIn monitoring	New stakeholder intro request	Department change trigger	Re-qualify with new team
Product gap	Feature announcement	Roadmap preview	Beta invite for requested feature	Re-demo with gap closed

Closed-Lost Cadence Design

Phase 1: Respectful Distance (Days 1-30) - Day 1 thank-you email. Day 14 relevant industry insight (no pitch). Day 30 brief check-in.

Phase 2: Value Re-establishment (Days 31-90) - Day 45 case study. Day 60 product update for their needs. Day 75 webinar invite. Day 90 direct re-engagement with new value prop.

Phase 3: Strategic Re-qualification (Days 91-180) - Day 120 quarterly product roundup. Day 150 trigger-based outreach (funding, leadership change). Day 180 final structured outreach or archive.

Win-Back Segmentation Scoring

Factor	High Priority (3 pts)	Medium (2 pts)	Low (1 pt)
Deal size	Enterprise	Mid-market	SMB
Stage reached	Late (proposal+)	Mid (demo)	Early (discovery)
Engagement level	Multi-threaded, deep eval	Single thread, moderate	Light touch
Lost reason	Timing/budget	Product gap (now fixed)	Chose competitor
Time since loss	60-120 days	30-60 days	180+ days
Company trajectory	Growing/funded recently	Stable	Contracting

Score 15-18: Priority re-engagement (personalized AE outreach). Score 10-14: Automated nurture with escalation triggers. Score 6-9: Low-touch content nurture only.

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7. Usage-Based Billing Optimization

Companies with sophisticated usage tracking see 32% higher NRR. 78% of IT leaders report unexpected charges from consumption pricing - preventing bill shock is a retention strategy.

Usage Metric Selection

Metric Type	Example	Best For	Risk
Direct consumption	API calls, compute hours	Infrastructure products	Unpredictable bills
Outcome-based	Leads generated, tickets resolved	Value-aligned products	Hard to attribute
Seat-based with usage	Per-user + usage overages	Collaboration tools	Punishes adoption
Platform transactions	Messages sent, records processed	Marketplace/platform	Volume sensitivity

Proactive Cost Alerts

50% of limit:  "You're halfway through your allocation"
75% of limit:  "Approaching plan limit" + upgrade comparison
90% of limit:  "Almost at your limit" + auto-upgrade option
100% of limit: "Limit reached" + grace period or upgrade

Build real-time usage dashboards, weekly digest emails, configurable spend caps, and cost-per-outcome metrics. Users who understand their bill expand faster and churn less.

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8. Customer Advocacy and Renewal Management

Advocacy Program Tiers

Tier	Qualification	Activities	Rewards
Supporter	NPS 8+, active user	Social shares, reviews	Swag, early feature access
Advocate	NPS 9+, case study willing	References, speaking, content	Conference passes, advisory board
Champion	NPS 10, multi-deal referrer	Co-selling, executive intros	Revenue share, custom features

Best advocacy triggers: customer hits ROI milestone, publishes positive review, renews or expands, champion gets promoted, or wins award using your product. Focus on your top 25% of customers. Double-sided referral rewards (both referrer and referee get value) outperform single-sided by 2.3x.

Renewal Timeline

Days Before Renewal	Action	Owner
180 days	Health score review, risk assessment	CS Ops
120 days	QBR with ROI report and expansion options	CSM
90 days	Formal renewal conversation + proposal	CSM
60 days	Negotiation and contract review	CSM + Legal
30 days	Final terms, signature push	CSM
14 days	Escalation if unsigned	CS Leadership
7 days	Executive outreach if still unsigned	VP CS or CRO

Renewals are not an event. They are a continuous process that starts at onboarding.

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9. Churn Prevention Playbooks

Clients with strong ICP fit are 2x less likely to churn and 4x more likely to expand.

Churn Indicators by Urgency

Pre-Churn (3-6 months out) - Declining login frequency, reduced feature breadth, support sentiment turning negative, champion engagement dropping.

Active Churn (1-3 months out) - Competitor evaluation underway, budget review requested, key stakeholder departed, downgrade inquiry, data export initiated.

Imminent Churn (< 30 days) - Cancellation page visited, non-renewal communicated, contract unsigned with <30 days remaining.

Save Plays by Churn Reason

Churn Reason	Save Play	Success Rate	Escalation
Price	Right-sizing, annual discount, ROI review	35-45%	Finance approval for custom pricing
Product gaps	Roadmap preview, beta access, workaround	25-35%	Product team meeting with customer
Low usage	Onboarding reboot, training sessions	40-50%	CSM-led adoption sprint
Lost champion	New stakeholder mapping + re-onboarding	20-30%	Executive alignment call
Competitor	Competitive teardown, migration cost analysis	15-25%	CRO-level retention offer
Company change	Contract pause option, reactivation path	30-40%	Flexible terms negotiation

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Examples

• User says: "We need to reduce churn" → Result: Agent asks for churn by cohort and segment, recommends health score and early-warning signals, then outlines playbooks (e.g. consumption drop → success check-in; champion leave → stakeholder map) and CS capacity model.
• User says: "How do we expand revenue in existing accounts?" → Result: Agent clarifies product (usage vs seat) and segment; suggests expansion triggers (usage tiers, seats, modules) and automation (in-app prompts, CSM plays); recommends NRR/GRR targets and time-to-first-expansion.
• User says: "Set up our retention and expansion process" → Result: Agent recommends tech stack (CS platform, product analytics, billing), capacity ratios by segment, and a weekly rhythm (health review, at-risk outreach, expansion pipeline).

Troubleshooting

• Churn concentrated in first 90 days → Cause: Onboarding or time-to-value too long. Fix: Shorten TTV to under 7 days (ideally <1 day); add in-app guidance and success milestones; trigger CS touch at day 7 and 30.
• Health score not predicting churn → Cause: Wrong signals or lag. Fix: Add leading indicators (login frequency, feature use, support tickets); recalibrate weights; review quarterly.
• Expansion offers ignored → Cause: Wrong timing or wrong offer. Fix: Tie expansion to usage (e.g. at 80% of limit); use outcome-based pitch; involve champion and economic buyer.

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Quick Reference

Key Metric Targets

Metric	Acceptable	Good	Best-in-Class
Net Revenue Retention	100-105%	105-115%	115%+
Gross Revenue Retention	85-90%	90-95%	95%+
Logo Retention Rate	80-85%	85-92%	92%+
Time to First Expansion	< 180 days	< 120 days	< 90 days
Expansion Revenue % of New ARR	20-30%	30-50%	50%+
Time to Value	< 7 days	< 3 days	< 1 day
Closed-Lost Win-Back Rate	5-10%	10-15%	15-25%

CS Team Capacity Planning

Segment	CSM-to-Account Ratio	Touch Model
Enterprise (>$100K ACV)	1:10-15	High-touch (weekly)
Mid-Market ($25-100K ACV)	1:30-50	Medium-touch (bi-weekly)
SMB ($5-25K ACV)	1:100-200	Tech-touch (automated)
Self-Serve (<$5K ACV)	1:500+	No-touch (fully automated)

Tech Stack

Function	Tools
CS Platform	Gainsight, ChurnZero, Vitally
Product Analytics	Amplitude, Mixpanel, Pendo
In-App Engagement	Pendo, Chameleon, Userpilot
Billing/Usage	Metronome, Orb, Stripe Billing
Churn Prediction	Pecan AI, custom ML models
Onboarding	Rocketlane, OnRamp, GUIDEcx
Advocacy	Influitive, ReferralCandy, Cello

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Questions to Ask

Reducing churn:

• What does your churn look like by cohort? Concentrated in specific segments or months?
• Do you have a health scoring system? How accurate has it been?
• When do most customers churn - early (first 90 days) or late (at renewal)?

Building expansion revenue:

• What percentage of customers expand within the first year?
• Do you have in-product expansion triggers or is it all sales-driven?
• Are you tracking PQAs or relying on CSM intuition for upsell timing?

CS function from scratch:

• What is your current ARR and average deal size?
• What data do you currently collect on customer usage and engagement?
• Are you hiring CSMs or building a tech-touch model first?

Re-engaging closed-lost deals:

• How many closed-lost deals from the last 12 months fit your current ICP?
• Do you track the reason for each closed-lost deal?
• What has changed about your product since those deals were lost?

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Related Skills

• ai-pricing - Pricing model design, tier structure, usage-based pricing strategy
• sales-motion-design - Sales process architecture, deal mechanics, handoff design
• gtm-metrics - Full GTM measurement framework, dashboards, reporting cadences
• partner-affiliate - Channel partnerships, referral programs, ecosystem revenue
• solo-founder-gtm - CS and retention systems for teams of one
• positioning-icp - ICP refinement drives better-fit customers who retain and expand