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software playbook

B2B SaaS Rollup Playbook

Build a consolidated SaaS platform without breaking customer trust.

A 12-month playbook for SaaS and software acquisitions. Covers NRR optimization, pricing modernization, migration off legacy billing, and integrated product positioning.

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Scorecard KPIs

Net revenue retention
Gross revenue retention
Logo churn rate
Expansion ARR
Customer health score
Rule of 40

Workstreams & goals

first 100

Baseline and improve NRR
Revenue Operations
By day 90
  1. Pull true NRR by cohort, by ARR band, by segment
    Day 14

    Why: NRR is the single most important health metric in SaaS. Most sellers report a blended NRR that hides churn pockets. How: Cohort NRR (rev at month 0 vs month 12), split by ARR band (<$10k, $10-50k, $50-250k, $250k+) and segment. Surface the worst-performing cohorts. Done: cohort NRR table. Pitfall: accepting 'our NRR is 110%' without seeing the cohort. A single whale can hide 70% GRR in the long tail.

  2. Identify top 20 at-risk customers and assign owners
    Day 45

    Why: Roll-ups trigger uncertainty. Customers worry the product will change, support will degrade, or pricing will jump. Proactive outreach catches churn before it fires. How: Rank customers by ARR + usage trend + NPS/CSAT. Top 20 get an exec call within 30 days. Done: exec call log. Pitfall: letting CS handle the whole list. The top 20 deserve the CEO's personal attention.

  3. Stand up QBR cadence with top 50 accounts
    Day 90

    Why: QBRs are the single most underused expansion lever in SMB SaaS. A well-run QBR converts to expansion 25-40% of the time. How: Every top-50 account gets a quarterly 60-min QBR with ROI review, usage trends, roadmap preview, and one expansion ask. Done: QBR calendar booked. Pitfall: QBRs that are status reports. They must include a 'what's next' ask.

integration

Modernize pricing and packaging
Commercial
By day 180
  1. Audit current price list and customer-level realized ARPU
    Day 75

    Why: Acquired SaaS companies typically have price lists that haven't been updated in 3-5 years and customer-level discounting that's drifted 20-40% below list. How: Pull realized ARPU by customer cohort, compare to list. Measure discount distribution. Done: price audit one-pager. Pitfall: comparing only against list price. Market price has moved too — benchmark against public peers.

  2. Design a new pricing structure (usage-based or value-based)
    Day 120

    Why: Flat-seat pricing leaves 15-25% of TAM uncaptured. Usage-based or value-metric pricing captures growth within accounts as they grow. How: Identify the value metric (API calls, active users, transactions, data volume). Model: what would revenue look like if top-50 customers were on the new structure. Done: pricing model proposal. Pitfall: rolling pricing out all at once. Grandfather current contracts; new logos go on new pricing.

Consolidate platforms and technical debt
Technology & Data
By day 270
  1. Inventory tech stack across acquired and acquirer
    Day 110

    Why: Two SaaS codebases + two CRMs + two billing systems is the default outcome. Consolidation is where roll-up economics come from. How: Build a systems map: product, CRM, billing, data warehouse, observability, support tooling, HR/payroll. Flag duplicates. Done: one-page systems map. Pitfall: assuming the newer stack wins. Sometimes the acquired company's tools are better.

  2. Migrate to single billing system
    Day 270

    Why: Two billing systems means two sources of truth for ARR, duplicate ops work, and reconciliation nightmares. Pick Stripe Billing + a revenue tool like Chargebee or Maxio and consolidate. How: Map every customer contract. Script the migration. Test in a sandbox. Migrate in batches. Done: 100% of customers on one billing system. Pitfall: migrating during contract renewals. Migrate mid-contract to avoid price change optics.

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