VIII. Your Move: The Role Assignments
What This Means for Your Team
How to Read This Page
The report’s findings describe one system, so the same levers appear at three altitudes. The findings chapters establish the diagnosis. The Changing the System section prescribes the system change, measurement, capital allocation, and incentives, which is leadership work. This page is the third altitude: what each go-to-market function can do inside the system, starting now, without waiting for the redesign. The moves below are consistent with the Playbook and reference it where a tactic’s full version depends on it. Every figure is a certified survey value; worked examples state their assumptions. Inference
For Marketing
Marketing’s exposure is that the growth math it plans against assumes a churn rate and an expansion contribution the certified data does not support. The correction is to plan against the floor. Inference
Measure your churn-replacement burden
With gross churn holding near 14%, a meaningful share of pipeline exists only to replace lost revenue. As an illustration with stated assumptions: at $25M ARR and 14% churn, $3.5M of ARR evaporates yearly; at a $50K ACV and a 25% pipeline-to-close rate, that is roughly 280 qualified opportunities just to stand still. Report the share of pipeline consumed by replacement versus net-new growth as its own line.
Segment campaign ROI by customer lifetime
If marketing-sourced customers churn at the survey median rather than the low single-digit rate most LTV models assume, the modeled value of marketing-generated pipeline is materially overstated. Re-run the LTV math on the certified churn floor and let the corrected number set channel budgets.
Tighten the ICP against retention data, not close rates
Update the ideal customer profile using which segments, sources, and value themes retain and expand best in your own base. Pipeline quality gets a downstream dimension: not just did it convert, but did the cohort stay. This is the Marketing measurement change the compensation redesign in the Playbook formalizes.
Build customer marketing as a real function, sized to your scale
Expansion economics favor the installed base: in 2021 data, the last year the survey split CAC by motion, an expansion dollar cost $0.61 against $1.78 for a new-logo dollar, roughly a 3× advantage. But expansion majorities are a privilege of scale. Above roughly $25M ARR, fund adoption campaigns, advocacy, and installed-base product marketing as a demand motion in its own right; below it, customer marketing supports retention while new logos remain the growth engine.
For Sales
Sales holds the single largest documented retention lever in the dataset and is compensated to ignore it. The moves below work inside today’s comp plan; the Playbook’s Phase 3 makes them the rational default. Inference
Frame the multi-year term as price predictability
The largest documented retention lever in the dataset sits at the point of sale: multi-year terms are associated with roughly 79% lower churn, and adoption fell from 48% to 26% in a single survey year. Position two-year and three-year commitments as price predictability and guaranteed capacity. The positioning itself costs nothing, and where the Playbook’s incentive pricing wins the term, a 15–20% discount is in most cases a small trade: points of margin against a churn event that forfeits the entire 37-month CAC payback.
Track a churn-offset ratio per territory
How many new logos does a territory need just to replace what it loses to churn each year? Making that ratio visible per AE turns the churn floor from an abstract company problem into concrete quota math each rep can see.
Weight expansion credit to its economics, above the scale line
At roughly 3× the capital efficiency of new-logo revenue, expansion deserves quota credit that reflects it, and a dedicated motion with pipeline and forecasting rather than quarterly check-ins. Gate this by scale: above roughly $25M ARR, where expansion majorities are realistic, build the motion; below it, expansion credit should not distract from the new-logo engine that actually drives growth at that size.
Qualify against the funnel you actually have
The one conversion funnel the survey series ever published put roughly 20 MQLs behind a single closed-won deal, and quota attainment has slid while quotas froze (see The GTM Machine). Marginal-fit deals that close anyway inherit the churn floor. The post-sale compensation element in the Playbook makes careful qualification economically rational; the discipline can start before the comp plan changes.
For Customer Success
Customer success is the function the survey never measured directly and the one holding the outcomes everyone else’s decisions produce. Its highest-leverage moves are about what it demands and how it invests, not how hard it works. Inference
Demand churn-composition reporting
A blended churn number tells you nothing actionable. Ask for the split: voluntary versus involuntary, first year versus later years, annual versus multi-year contracts, and downsell separated from full churn. Downsell alone is about a third of all revenue loss and re-expands faster than churn, but only if it is seen in time (see Downsell).
Invest in methodology and outcome capability, not headcount or tooling alone
The gross churn floor has not improved across six data years, and stands at 14–15% on the current edition, even as the CS function built out industry-wide, because capacity and visibility without a delivery methodology reproduce the same outcomes at larger scale. The investment case that holds is systematic outcome delivery: defined outcomes, verification evidence, and a renewal conversation built on documented value. That is also the precondition for being measured on outcome achievement rather than relationship management.
Benchmark your coverage against the survey, by segment
The certified coverage medians give you the industry line. In the 2023 edition (2022 figures), the median SMB CSM carried 100 accounts against a $1.3M book and the median enterprise CSM 14 accounts against a $2.6M book, and across editions the CSM book grew roughly 47% as retention fell (caveats in The Invisible Function). If your ratios are materially worse, your retention ceiling is set before methodology even enters the picture.
Own the first year, because the payback math does
With new-only CAC payback at 37 months and churn at the floor, a customer who leaves early is a customer the company never made money on. Onboarding investment, sized in the certified professional-services band of roughly 5–15% of ARR, and a documented first outcome inside the first months are usually the difference between a cohort that pays back and one that never does.
Treat structural churn as a product signal
CS can extend customer lifetime, but if a share of the 14% floor is leaving over capability gaps, the ceiling on CS-driven improvement is set by Product. Route gap evidence into the outcome record rather than absorbing the miss (see Product as a System Member).
For Product
Product decisions set the ceiling on what every other function can promise, yet Product usually sits outside the retention system with no formal accountability to it. That gap is the point. The moves below make it a system member rather than a bystander to the numbers the rest of this page assumes. Inference
Maintain a shared record of what the product produces
Product maintains the record: which outcomes the product produces, for which customer types, under which conditions, based on documented results. Marketing describes from it, Sales commits from it, and CS delivers against it. A record based on documented results, rather than on general expectation, is the version the other three functions work from.
Run the capability-gap log in real time
Where a committed outcome is not reliably deliverable for a segment, log the gap against its roadmap status instead of letting it surface as anecdotal customer feedback. Gross churn has held near 14% for about six data years despite growth in CS capacity and tooling. Not all of that is CS’s to fix. A share of it is a capability gap no amount of relationship management closes.
Weight the roadmap against retention signal, not acquisition volume alone
Acquisition signals are loud and tied to revenue Sales is accountable for today; retention signals are diffuse and connect to revenue that arrives 12 to 24 months after the roadmap decision that shaped it. Tracking time-to-first-outcome and capability-gap attribution alongside acquisition requests keeps that imbalance from becoming permanent by default.
Feed Support data into the roadmap on a fixed cadence
Ticket volume by feature and error type is the most accurate available map of where the capability-outcome gap is widest, and severity cross-referenced against ARR and renewal timeline shows which gaps carry the highest retention risk. Route it through the quarterly intake described in Product as a System Member instead of absorbing it case by case.
The Four-Function Alignment Agenda
Function-level moves compound only when all four functions stop optimizing locally. The shared agenda has four items, each traceable to a certified finding.
- One funnel: a jointly owned definition of qualified pipeline that includes retention fit, not just close probability.
- One contract posture: multi-year as the default proposal, discounting as the exception that requires a reason.
- One loss report: churn, downsell, and expansion as separate lines every team sees monthly, the same decomposition the Imperative puts in front of the board, watched through the coverage ratio that sat at 1.07× in 2024.
- One shared record of product outcomes, maintained by Product in collaboration with CS, so Marketing describes and Sales commits against the same documented outcomes. Inference
Frequently asked questions
What should Marketing do about SaaS churn?
Measure the churn-replacement burden, the share of pipeline that only replaces lost revenue, and re-model LTV on the certified churn floor rather than the low single-digit churn most models assume. Then tighten the ideal customer profile against retention data, not close rates.
What is the highest-return retention move for a Sales team?
Selling multi-year terms positioned as price predictability. Multi-year contracts cut churn roughly 79% in the certified data, adoption fell from 48% to 26% in one survey year, and the conversation costs nothing incremental at the point of sale.
Should customer success teams invest in headcount or methodology?
Methodology. Years of CS headcount growth and platform adoption did not move the churn floor. The investment that holds is systematic outcome delivery: defined outcomes, verification evidence, and renewal conversations built on documented value rather than relationship management.
Last reviewed: July 2026