frequently asked questions technology

1. Can Anaplan model SaaS usage, ARR and revenue recognition impacts?

Yes — build revenue models that include subscription metrics, churn, upsell and revenue recognition rules. Linking product usage forecasts to finance models gives FP&A visibility into ARR dynamics, cash flow timing and unit economics for product decisions.

2. Can we run chargeback and showback models for internal IT consumption?

Yes — implement allocation logic to distribute shared costs by usage or headcount.  Configurable allocation rules and dashboards help business units understand IT consumption, enabling more disciplined sourcing and optimisation conversations.

3.  Are you an Anaplan partner with experience in SaaS / tech planning & SPM? 

Yes — we are a certified Anaplan partner with proven delivery in this sector.  We staff certified Anaplan model builders and architects who’ve delivered ARR, cohort and RevOps models for tech companies — reducing delivery risk and accelerating time-to-value with SaaS-specific accelerators and templates.

4.How will Anaplan model ARR, MRR roll-forwards and subscription cohorts for our finance team?

We deliver ARR models that keep monthly MRR to ARR roll-forwards, cohort retention tables and contribution views for finance and GTM, so you can simulate pricing, upsell programs and renewal campaigns — all traceable from account to consolidated ARR.

5. Can you model CLTV, CAC and CAC payback so we can decide GTM investment pace?

Yes — we model fully-burdened CAC, cohort LTV (margin-adjusted) and dynamic payback months to support invest vs. conserve decisions. Our models can combine segmented CAC (ad spend, SDR/AE costs, commissions) with cohort LTV (ARPU × gross margin ÷ churn) and produce LTV:CAC, CAC-payback and sensitivity charts so leadership can test different GTM spend scenarios and hiring ramps.

6. How do you model churn, NRR and revenue retention so RevOps and Finance have a single truth?

Typical outcomes from our Anaplan implementation include faster budget cycles (20–40% faster), improved forecast accuracy (10–30%), and reduced working capital through inventory optimisation. ROI timelines depend on scope, but we benchmark before and after go-live to quantify value delivered.

7. How do you model Sales Performance Management: territories, quotas, ramps and comp payouts?

We build a territory/quota module that links CRM funnel conversion rates, ramp schedules and compensation plans to expected bookings and payout forecasts — enabling fair quota setting, payout forecasting and what-if territory moves without manual spreadsheets.

8. How do you do workforce planning for engineering, product and support with hire-to-ramp and cost impact?

Model headcount by role with ramp profiles, utilisation and fully-burdened cost to align hiring to roadmap milestones and Opex.