NRR 110%+ Without Gainsight's Per-CSM Tax.

VPs Customer Success and CCOs measure success in net revenue retention — but Gainsight at $50-100K/year scales to $500K-2M for mid-market+, plus Pendo + ChurnZero + Customer Voice tools = $200K-1M/year. Aeion's CS stack — CRM + Helpdesk + Claw + BI — drives NRR 110%+ via per-customer health scoring, AI renewal-risk prediction 90 days out, AI-drafted QBRs (3-5 hrs → 15 min), expansion pipeline surfacing, and churn intervention workflows at predictable per-module pricing (CRM + Helpdesk flat at $49/mo each, unlimited users; BI from $39/mo).

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What Aeion Delivers for CS Leaders

Per-Customer Health Score

A single health score blends product usage, ticket history, sentiment, payment status, and relationship signals in real time, so a CSM opening an account sees the whole picture at a glance instead of piecing it together from five tabs. Scores roll up to per-cohort benchmarks and per-CSM portfolio views automatically. Replaces Gainsight CTAs and Totango SuccessBLOCs. Read CRM →

NRR Drivers + the AI Lever

The NRR equation:

NRR = (Starting ARR + Expansion ARR - Contraction ARR - Churn ARR) / Starting ARR

Where Aeion impacts each lever:

Starting ARR (the base):

Onboarding velocity → faster time-to-value → better retention foundation
Aeion: per-stage onboarding tracking + AI surfaces stuck customers

Expansion ARR (the upside):

AI surfaces upsell signals 60-90 days before manual review would
Per-customer feature-adoption gaps → expansion opportunities
Aeion: +20-40% expansion ARR vs control in test deployments

Contraction ARR (the leakage):

AI predicts plan-downgrades before they happen
Proactive outreach can save 30-50% of would-be contractions
Aeion: per-customer plan-tier-appropriateness scoring

Churn ARR (the bleeding):

90-day renewal-risk warning enables intervention
Per-customer health scoring surfaces low-health accounts

The CSM Productivity Story

Why CSM productivity stagnates:

30-50% of CSM time goes to manual customer-context assembly (digging through Salesforce + Zendesk + Slack)
20-30% goes to QBR prep (compiling slides from spreadsheets)
10-15% goes to status reports + executive updates
That leaves 5-40% for actual customer relationship work

How Aeion changes the time allocation:

Customer context: auto-assembled per CSM session (5 min vs 30 min)
QBR prep: AI-drafted (15 min vs 3-5 hrs)
Status reports: auto-generated (5 min vs 1-2 hrs)
Released time: 30-50% reclaimed for relationship work

Per-CSM portfolio scaling:

Pre-Aeion: median CSM handles 15-25 accounts
Post-Aeion: median CSM handles 25-40 accounts (+30-60% productivity)
Per-CSM revenue managed: $2-5M ARR pre-Aeion → $3-8M post-Aeion

This compounds with NRR impact: For a 10-CSM team managing $50M ARR:

Pre-Aeion: 10 CSMs × $5M/CSM = $50M coverage, 96% NRR = $1M lost
Post-Aeion (option A): 10 CSMs × $7M/CSM = $70M coverage room for growth
Post-Aeion (option B): 7 CSMs × $7M/CSM = $50M coverage, 3 CSMs reassigned, 113% NRR = $6.5M gained

What CS Leaders Stop Doing

Manual health-score spreadsheets

Composite health scoring is native — usage, tickets, sentiment, payment, and relationship signals roll up automatically, so nobody's rebuilding a spreadsheet before the Monday portfolio review.

Weekly status-report rituals

Per-CSM dashboards auto-generate, so "how's my book doing" stops being a Friday afternoon spent building a deck.

Reactive renewal scrambles

A 90-day proactive renewal-risk warning means CSMs intervene while there's still time to save the account, not after the customer has already decided to leave.

Cherry-picking which accounts get QBR attention

AI surfaces which accounts most need executive attention this quarter, so QBR prep time goes to the accounts that are actually at risk or actually ready to expand.

Portfolio rebalancing in spreadsheets

AI recommends how to redistribute accounts across CSMs based on health, complexity, and revenue — no manual capacity-planning exercise required.

Hunting for expansion signals across tools

Upsell and cross-sell signals route jointly to the AE and CSM the moment they surface, instead of sitting in a dashboard nobody checks.

Customer-voice ticket compilation

NPS, CSAT, feature requests, and bug reports unify into one Voice-of-Customer view instead of a manual export-and-merge exercise.

Per-tier escalation workflows in email

Escalation paths run as native workflow automation by account tier, not a chain of "loop in the VP" emails.

The Customer 360 Foundation

The unified customer record:

Per-customer view in Aeion includes:

CRM record (account + contacts + opportunities)
Helpdesk tickets (all support history + sentiment)
Commerce orders + subscription history + payment status
Product usage signals (login frequency, feature adoption, key user activity)
Marketing engagement (email opens, content downloads, event attendance)
Community/forum participation
Per-CSM touch history (calls, emails, meetings, QBRs)
Per-customer financial summary (ARR, NRR contribution, profitability)
Per-customer health score with trend
Per-customer risk factors + intervention history

Why this matters: Pre-Aeion: customer 360 requires 5-7 tool integrations. Each integration adds $10-50K/year + maintenance overhead. Data sync lag means stale information.

Post-Aeion: customer 360 is one database query. Real-time. Always-current. No integration tax.

For executive briefings: AeionClaw drafts per-customer executive summaries on demand. Ask "what's the state of the Acme account?" and get a 30-second AI summary covering every dimension above, plus a suggested next-best-action.

That's the difference between a CS leader having to dig through tools before exec meetings vs walking in with a fresh AI brief for every account.

Per-customer composite health scoring

AI renewal-risk 90-day prediction

AI-drafted QBR (3-5 hrs → 15 min)

Expansion pipeline AI routing

Customer 360 native (no integration tax)

Churn intervention workflows

Customer Voice unified

CSM productivity analytics

CS Leader Questions

Gainsight is purpose-built for CS; Aeion is broader (CRM + Helpdesk + Claw + BI unified). For pure CS feature depth, Gainsight has edges in specific workflows (Success Plans, AE-CSM handoff playbooks). Aeion is significantly cheaper + native to your customer data + better at AI-driven insight. Most CS teams find Aeion sufficient; for orgs with deeply customized Gainsight implementations, the migration ROI takes 12-18 months to materialize.

Aeion BI handles product usage analytics with the customer record as primary key (not anonymous user). For deeply customized funnel analysis + experimentation, keep Pendo + integrate via Singularity. Most CS teams use Aeion for the customer-facing analytics + Pendo (if retained) for product-team-only deep analysis.

Aeion's health score + renewal risk + churn workflows cover 95%+ of ChurnZero/Catalyst features. Migration is straightforward.

Aeion supports per-customer-segment Success Plan templates. Per-customer plan-tracking with phase gates + milestones. Replaces Gainsight Success Plans. For deeply customized playbooks, Aeion's customization is more flexible (TypeScript event subscribers vs Gainsight's Bionic Rules).

Aeion handles onboarding natively — per-customer phase tracking + handoffs + completion analytics. ChiliPiper-style routing supported. GUIDEcx-style customer-facing onboarding portals via Aeion's React Server Components.

Aeion Forms + Marketing handles NPS + CSAT + custom surveys + cohort analysis. Replaces dedicated survey tools.

Native — per-account AE+CSM joint ownership + handoff workflow + per-handoff QBR. CRM record carries both relationships seamlessly.

Per-customer per-product subscription tracking. Per-product feature-adoption analytics. AI surfaces cross-sell opportunities per-customer (e.g., customer X uses Commerce heavily but not Marketing — high expansion candidate).

Per-customer-segment health-score weight tuning. Per-tier coaching playbooks. Per-segment QBR templates. Mid-market CS team can configure differently from enterprise CS team within same Aeion deployment.