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Sales & Revenue

Churn analysis and customer retention analytics

Churn analysis and customer retention analytics that show which accounts are at risk, why they leave and which renewals to protect first.

See how we work
Customers without onboarding in month one churn twice as oftenRetention curves: customers onboarded in month one keep 85 percent after 12 months; customers without onboarding keep 70 percent, twice the churn (demo data).Customers without onboarding churn twice as oftenCustomers retained, %, by month since start, 2025 cohortsDemo data70%80%90%100%Onboarded85% retainedNot onboarded70% retained30% vs 15% churned036912Months since startCustomers without onboarding in month one churn twice as oftenMobile view: onboarded customers keep 85 percent after 12 months, others keep 70 percent (demo data).Customers without onboardingchurn twice as oftenCustomers retained, %, 2025 cohortsDemo data70%80%90%100%Onboarded85% keptNotonboarded70% kept30% vs 15% churned036912Months since start

Our churn analysis joins CRM, billing, usage and support data into one view. The CEO, CFO and revenue leaders see revenue at risk while there is still time to act, not after the renewal is lost.

What it is

Churn analysis shows who leaves, when and why

Churn analysis is the study of which customers stop buying, when and why. Customer churn analysis combines account, revenue and behavior data. It measures churn rate, finds root causes and flags at-risk customers before they cancel, downgrade or quietly fail to renew.

Small accounts churn at three times the enterprise rateSorted bars: small business 12 percent, mid-market 7 percent, enterprise 4 percent annual logo churn.Small accounts churn at three times the enterprise rateAnnual logo churn rate by customer segment (demo data)Demo dataSmall business12%Mid-market7%Enterprise4%Small accounts churn at three times the enterprise rateMobile view: Sorted bars: small business 12 percent, mid-market 7 percent, enterprise 4 percent annual logo churn.Small accounts churn at three timesthe enterprise rateAnnual logo churn rate by customer segment (demodata)Demo dataSmall business12%Mid-market7%Enterprise4%
sales and revenue analytics
Challenges we solve

Churn surprises leadership because no one sees the full picture

Churn usually reaches the board pack a quarter late. The warning signs are scattered across the CRM, billing and support tools. No single team owns the full picture. So declining accounts look healthy right up until the day they leave.

The warning signs appear months early, in four different toolsFour swimlanes, support, product usage, billing and CRM, with one warning signal each between five and one months before the account cancels.The warning signs appear months early, in four differenttoolsOne account in the months before it cancels (demo data)Demo dataSupportProduct usageBillingCRMSupport ticketsdoubleLogins fall 40%Invoice paid 30 dayslateChampion leaves thecompanyCancels-6-5-4-3-2-10MonthsFive months of warning, owned by no single teamThe warning signs appear months early, in four different toolsMobile view: Four swimlanes, support, product usage, billing and CRM, with one warning signal each between five and one months before the account cancels.The warning signs appear months early,in four different toolsOne account in the months before it cancels (demodata)Demo data5 months before · SupportSupport tickets double4 months before · Product usageLogins fall 40%2 months before · BillingInvoice paid 30 days late1 months before · CRMChampion leaves the companyCancelsFive months of warning, owned by no singleteam
KPIs we track

Three customer retention analytics metrics tell the churn story

GoalProtect recurring revenue
  1. Keep customers
    • Logo churn rate
    • Voluntary vs involuntary churn
    • Churn by tenure and plan
  2. Grow accountsReview first
    • Net revenue retention (NRR)
    • Downgrades vs expansion revenue
    • Customer lifetime value (CLV)
Goal, drivers, metrics. The highlighted driver is the one to review first.

See how many customers you keep

Demo

Logo churn rate: customers lost in the period divided by customers at the start.

See if existing customers grow revenue

Demo

Net revenue retention (NRR): starting revenue plus expansion, minus downgrades and churn, divided by starting revenue.

Know what a customer is worth

Demo

Customer lifetime value (CLV): average gross margin per period times expected customer lifetime.

What we offer

Churn analysis services answer three questions: who leaves, why and what it costs

We offer churn analysis as a consulting engagement with clear deliverables, not as software you have to configure yourself. Four core services can run together or separately, depending on where your own retention questions start. Each one supports a specific decision: where to focus customer success, which accounts to renew first, how much to spend to win a new customer and which segments to fix first.

One customer model feeds cohort, risk and lifetime value viewsCRM, billing, product usage and support data flow into one segmented customer model, which feeds three service views: cohort retention, accounts to call this week and lifetime value by segment.Cohort retentionAccounts to call this weekA-21786A-14279A-30574Lifetime value by segmentSMBMidEntOne customer modelSegmented by plan, channel, tenure, regionCRMBillingProduct usageSupportOne customer model feeds cohort, risk and lifetime value viewsMobile view: CRM, billing, usage and support data form one customer model that feeds three views.CRMBillingProduct usageSupportOne customer modelBy plan, channel, tenure, regionCohort retentionAccounts to call this weekA-21786A-14279A-30574Lifetime value by segmentSMBMidEnt

See whether retention is improving

Cohort analysis groups customers by start date, segment, product or region and tracks retention over time.

Know which accounts to call this week

Rules-based churn risk scoring flags at-risk accounts from usage, billing and support signals, and shows why.

Spend the right amount to win customers

Customer lifetime value analysis (LTV) by segment shows which customers are worth acquiring, expanding and protecting.

Find the segments that drive churn

Segmentation by plan, channel, tenure and region shows where churn concentrates.

lead scoringsales forecasting
Benefits

Benefits of churn analysis: earlier warning, clear causes and better plans

Churn analysis pays back in four clear, practical ways.

Onboarding gaps drive a third of lost revenueOne stacked bar of churned ARR: onboarding gaps 34 percent, low product use 26, service issues 15, price 10, failed payments 15.Onboarding gaps drive a third of lost revenueShare of churned ARR by root cause, last 12 months (demo data)Demo data34%26%15%10%15%Voluntary: 85%Involuntary: 15%Onboarding gapsLow product useService issuesPrice or budgetFailed payments (involuntary)Onboarding gaps drive a third of lost revenueMobile view: One stacked bar of churned ARR: onboarding gaps 34 percent, low product use 26, service issues 15, price 10, failed payments 15.Onboarding gaps drive a third of lostrevenueShare of churned ARR by root cause, last 12 months(demo data)Demo data34%26%15%15%Voluntary: 85%Involuntary: 15%Onboarding gapsLow product useService issuesPrice or budgetFailed payments (involuntary)

Earlier warning. Risk scores and cohort trends can show declining accounts well before renewal. Customer success teams get time to act with a real plan, not a last-minute discount.

Clear root causes. The analysis separates voluntary churn, when a customer chooses to leave, from involuntary churn, such as a failed payment. Each is linked to its drivers, like onboarding gaps, low product use or service issues. So fixes target the real problem.

Better revenue planning. Retention trends feed directly into sales forecasting and budgets. The CFO can plan on net revenue retention and ARR or MRR trends, not on new bookings alone.

A stronger valuation story. For the CEO and board, NRR and CLV are widely used by investors as signs of business quality. Reliable, well-defined retention metrics make investor and lender conversations more credible.

How we work

Five churn analysis steps turn agreed definitions into a retention playbook

Every churn analysis follows the same five steps, adapted to your business model, systems and data quality. Most work is remote with your revenue, customer success and finance teams, across time zones. Each step ends with a short review and sign-off, so everyone agrees on definitions and findings before we move on.

From churn definitions to a retention playbook

Select a stage, use Next or the arrow keys

Define churn. Agree what counts as churn. We define churn, downgrades and expansion for your model in writing, so sales and finance stop reporting different numbers.

Step 1 of 5

The order follows the story your data needs to tell. First, agree what churn means for your business. Then confirm that the data and team are ready, and connect and clean the data. Then measure where churn actually happens. Then find out why. Finally, turn the findings into actions with owners.

The goal is not a one-off report that is out of date within a month or two. It is a repeatable retention process your team can run every month. You keep the connected data, the dashboards and the documentation needed to keep it accurate as customers, products and pricing change.

Ongoing support is optional. Your team can run it alone from day one, or keep us on through analytics as a service, so a named analyst refreshes the scores, reviews new cohorts and flags changes in churn drivers each month.

Either way, the definitions stay written down. When a new leader joins, they can read how churn is measured in a few minutes, instead of rebuilding the logic from old spreadsheets.

Book a consultationanalytics as a service
What you get

You get risk scores, churn drivers and a retention playbook your team owns

Each churn analysis ends with three practical assets. Your team owns them and can keep them current.

Three high-risk accounts renew within 60 daysChurn risk dashboard listing six accounts with risk score, top driver and renewal date; the three highest-risk accounts renew within 60 days (demo data).Three high-risk accounts renew within 60 daysActive accounts, risk score 0 to 100, refreshed dailyDemo dataAccountRisk scoreTop driverRenewalA-21786Usage down 40%32 daysA-14279Two open P1 tickets48 daysA-30574Champion left57 daysA-08861Late payments104 daysA-41148Seats reduced150 daysA-19622Healthy usage210 daysThree high-risk accounts renew within 60 daysMobile view: six accounts with risk score, top driver and days to renewal; three high-risk accounts renew within 60 days (demo data).Three high-risk accountsrenew within 60 daysRisk score 0 to 100, refreshed dailyDemo dataA-21786Usage down 40%32 daysA-14279Two open P1 tickets48 daysA-30574Champion left57 daysA-08861Late payments104 daysA-41148Seats reduced150 daysA-19622Healthy usage210 days

  • Know which accounts need attention

    A health score for every active account, refreshed automatically and shown in your CRM.

  • Fix the real causes

    A churn driver report lists the behaviors and events most linked to churn, by segment.

  • Act the same way every time

    Cohort, NRR and CLV dashboards, plus a playbook with an action and owner per risk signal.

sales dashboards
Use cases

Retention analytics protects revenue in SaaS, services and subscription businesses

Churn analysis is not only for software companies. Any business with recurring or repeat revenue can use it to protect and grow the customers it already has. The signals differ by model.

Catch downgrades before renewal

Seat, usage and plan data show contraction and churn risk well before renewal dates.

  • Seat and feature usage trends
  • Plan changes and downgrades
  • Renewal dates with revenue at risk
SaaSprofessional services
Sample dashboards

Sample dashboards on demo data show revenue at risk at a glance

Until we can publish client results, we show our churn and retention dashboards on demo data. Each sample uses a fictional company with the structure and KPIs we would build for you. Every chart title states its insight, so the decision is clear.

Retention dashboards for a fictional SaaS company

Demo data
Monthly logo churn1.8%▲ +0.3 pts
Net retention104%▼ -3 pts
Gross retention91%▼ -2 pts
Expansion, quarter$412K▲ +6%

NRR slipped below 105% as downgrades rose

Net revenue retention, trailing 12 months, by month

103%105%108%110%NovJanMarMayJulSep105% in Jul: Downgrades accelerate103%105%108%110%NovFebMayAug105% in Jul: Downgrades accelerate

So what: Focus customer success capacity on SMB accounts with falling seat usage.

SegmentLogo churnNRRGRR
Enterprise0.6%112%96%
Mid-market1.4%108%93%
SMB3.1%96%86%
View 1

Track retention month by month

Retention overview: logo churn, revenue churn, NRR and gross revenue retention by segment.

View 2

Compare customer groups

Cohort view: retention curves by start month, plan, channel and region.

View 3

Prioritize renewals

Accounts at risk: risk score, top drivers, renewal date and revenue at risk per account.

Frequently asked questions

Churn analysis: questions revenue leaders ask before they start

At a minimum, a customer list with start and end dates and revenue history. Better results come from adding product usage, support tickets, billing events and CRM activity. We check what you have in the first step and recommend the simplest data set that supports reliable, useful findings.

We build transparent, rules-based health scores from the signals your own data links to churn, such as falling usage, rising support volume or late payments. Teams can see why each account is flagged. The scores are simple to maintain and easy to adjust as your business changes.

A customer retention service usually means a program run by customer success or marketing teams. Churn analysis gives those programs their evidence: who is at risk, why, and what keeping them is worth. We deliver the analytics and the playbook. Your teams run the retention actions.

Yes. We work with HubSpot, Salesforce and Zoho. We can write risk scores and retention fields back into the CRM, so account managers see them in their daily work, next to renewal dates, open opportunities and recent activity on each account.

Get a churn risk assessment and see which renewals to protect first

See where your recurring revenue is at risk and why. Book a consultation to scope a churn risk assessment for your whole customer base.

Revenue operations
See how we work
Risk scoring flags churn months before renewal, not at itTwo timelines to a renewal date: today churn is found at renewal; with risk scoring the account is flagged 120 days earlier, leaving time to act and renew (demo data).Today9 months before6 months before3 months beforeWith risk scoring9 months before6 months before3 months beforeTime to actChurn found at renewalRisk flagged 120 days outRenewedRenewalDemo dataRisk scoring flags at-risk accounts 120 days before renewalMobile view: today churn is found at renewal; with risk scoring it is flagged 120 days out, leaving time to act (demo data).Today9 mo6 mo3 moRenewalChurn found at renewalWith risk scoring9 mo6 mo3 moRisk flagged 120 days outTime to actRenewedmo = months before renewalDemo data