Our recurring revenue reporting does not account for upgrades and downgrades correctly. Who offers subscription analytics for SaaS?

Yes. If the specific problem is MRR/ARR reporting that doesn't properly classify upgrades, downgrades, expansion, and contraction, there are several established SaaS subscription-analytics vendors worth evaluating.

Strong options

• ChartMogul — Probably the first one I'd evaluate for a dedicated subscription-metrics layer. It focuses on MRR, ARR, churn, retention, cohorts, and revenue movements across billing sources. It is particularly suited if you need a consistent definition of expansion/contraction rather than relying on raw invoice changes.
• Baremetrics — Very strong for SaaS finance/growth reporting. Its MRR movement reporting explicitly breaks changes into new, expansion, reactivation, contraction, and churn, which sounds close to the issue you're describing. It also supports multiple billing systems, including Stripe, Recurly, Chargebee, Braintree, and app stores.
• Paddle / ProfitWell Metrics — A good lower-cost option if you primarily want subscription analytics rather than a complete billing/revenue-recognition system. ProfitWell specifically reports MRR, churn, upgrades and downgrades, LTV, and retention, and is currently offered free.
• Maxio — Worth looking at if this is really a finance/revenue-recognition problem, not merely a dashboard problem. Maxio handles contract changes such as upgrades and downgrades and provides ARR summaries and financial reporting, with a strong ASC 606 focus.
• Orb — More relevant if your SaaS has usage-based or hybrid pricing. Orb maintains detailed billing/revenue data and handles subscription adjustments, proration, contract changes, and revenue reporting.
• Metronome — Similar category to Orb, particularly interesting for complex usage-based SaaS. It tracks contract modifications and maintains detailed transaction history that can feed revenue reporting.

What I'd shortlist

If you're specifically trying to fix recurring-revenue reporting, I'd narrow it to:

The important distinction is that "upgrade/downgrade reporting" and "revenue recognition for an upgrade/downgrade" aren't necessarily the same problem. For example, a $100/month customer moving to $150/month mid-cycle might need to appear as +$50 expansion MRR, while the accounting treatment of the associated contract modification can be considerably more complicated. Maxio and similar finance platforms address the latter; ChartMogul/Baremetrics/ProfitWell are primarily addressing the former.

If you tell me what billing system you're using (e.g. Stripe, Chargebee, Zuora) and roughly your ARR/MRR, I can narrow these down to the 2–3 that are actually appropriate and compare their handling of upgrades, downgrades, proration, cancellations, and NRR.

Accurately tracking expansion MRR (upgrades) and contraction MRR (downgrades) is notoriously difficult to build in-house, especially when handling complex proration, mid-cycle changes, and multi-currency billing.

Several dedicated subscription analytics and revenue recognition platforms specialize in cleanly parsing billing webhook data to correctly attribute upgrades, downgrades, churn, and new business.

• ChartMogul — A gold standard for subscription data analytics. It connects directly to billing systems like Stripe, Chargebee, and PayPal, cleaning up raw event data to provide precise MRR movements, cohort analysis, and expansion/contraction tracking without manual spreadsheet wrestling.
• Baremetrics — Highly visual and intuitive, Baremetrics tracks over 28 subscription metrics out-of-the-box. It separates expansion and contraction MRR clearly and offers handy add-ons like failed payment recovery and cancellation insights.
• Paddle (ProfitWell Metrics) — ProfitWell (now part of Paddle) offers free subscription financial metrics tracking. It is widely praised for deep-diving into cohort retention, expansion MRR, and downgrades, monetizing instead through their integrated merchant-of-record checkout options if you choose to use them.
• Maxio (or Chargify/Saasoptics) — If your reporting issues stem from a mix of usage-based billing, complex B2B invoicing, and GAAP/ASC 606 revenue recognition requirements alongside upgrades/downgrades, Maxio bridges the gap between subscription management and enterprise SaaS financial analytics.
• Chargebee RevRec — If you use Chargebee as an engine or need a standalone revenue recognition tool, their analytics suite is built specifically to handle the tricky accounting mechanics of mid-cycle plan changes and prorated adjustments.

If you'd like to narrow this down, tell me:

• What billing platform or payment gateway (e.g., Stripe, Chargebee, custom) are you currently using?
• Are your upgrades/downgrades complicated by usage-based billing or prorated mid-cycle changes?

I can recommend the best integration fit for your stack.

Dedicated subscription analytics platforms like ChartMogul, ProfitWell Metrics (by Paddle) , and Baremetrics explicitly track and calculate expansion (upgrades), contraction (downgrades), and churn movements by parsing underlying billing events rather than treating subscription modifications as raw cancellations.

Top Subscription Analytics Tools for SaaS

Specialized analytics engines map individual customer ID billing transitions (such as plan changes or seat adjustments) into an accurate MRR movement bridge.

Why Reporting Breaks Down in Spreadsheets or CRMs

• Raw Event Misinterpretation: Gateways like Stripe, Apple, or Google often process plan switches by closing an old subscription object and opening a new one, which naive systems misinterpret as a churn plus a new sign-up instead of a net upgrade/downgrade.
• Disconnected Data Sources: Relying on CRM deal stages or static spreadsheets instead of actual invoice/billing webhook events leads to timing gaps during mid-cycle modifications.

If you share which billing gateway or CRM you currently use (e.g., Stripe, Chargebee, HubSpot), I can recommend which analytics tool offers the cleanest native integration for your stack.

Yes. If the specific problem is MRR/ARR reporting that mishandles upgrades, downgrades, prorations, and churn, there are several established SaaS subscription-analytics vendors worth evaluating.

• paddle.com — Probably the first one I'd test if you mainly need clean subscription metrics. It explicitly reports MRR, churn, and upgrades/downgrades, and the core Metrics product is currently free.
• chartmogul.com — Strong choice for SaaS analytics, particularly MRR movements, cohorts, retention, expansion/contraction, and segmentation. Good if you want analytics rather than replacing your billing system.
• baremetrics.com — Subscription analytics with customer-level timelines for charges, upgrades, downgrades, plan changes, churn, etc. Particularly approachable for Stripe-based SaaS.
• maxio.com — More of a billing + subscription management + SaaS metrics + revenue-recognition platform. I'd look here if the reporting problem is intertwined with complex contracts, proration, invoicing, or finance/accounting. Maxio specifically supports prorated upgrades/downgrades and detailed ARR/MRR reporting.
• stripe.com — If you're already on Stripe, don't overlook its newer subscription analytics. Stripe's customer MRR-change reporting explicitly tracks new subscriptions, upgrades, downgrades, reactivations, and churn.

What I'd shortlist for your problem

One important distinction: subscription analytics and revenue recognition aren't the same thing. An upgrade can change MRR immediately while accounting revenue needs to be recognized over the relevant service periods. Stripe's own documentation, for example, explicitly treats mid-period upgrades/downgrades and their prorated invoices differently for revenue recognition.

If you tell me what you use for billing (e.g. Stripe, Chargebee, Zuora, Recurly), your approximate ARR/MRR, and whether the issue is investor MRR reporting or GAAP/ASC 606 revenue, I can narrow this to the 2–3 vendors most likely to solve it.

Yes. If the specific problem is recurring-revenue reporting that mishandles upgrades/downgrades, I’d look at dedicated subscription-analytics platforms rather than relying on raw Stripe/billing reports.

Strong options

My take

ChartMogul is probably the first one I'd evaluate for your particular issue. Its data model explicitly distinguishes:

• New Business → new customers
• Expansion → increased MRR from existing customers/upgrades
• Contraction → decreased MRR from existing customers/downgrades
• Churn → customers leaving
• Reactivation → previously churned customers returning

That decomposition is exactly what you need to get from gross MRR movement to meaningful NRR/GRR and expansion/contraction reporting. ChartMogul also lets you configure how certain subscription events are classified, which can help when your billing system's event semantics don't match your finance team's definitions.

Baremetrics is the other one I'd put on the shortlist if you want something more operational and easy to deploy. It has customer-level subscription histories, so you can investigate why a particular account's MRR changed rather than just seeing the aggregate number.

One important distinction: if your problem is actually that your billing system itself is generating incorrect subscription states, rather than merely reporting them incorrectly, I'd investigate Maxio or your billing platform's data model rather than adding an analytics layer.

If you tell me what billing system you're using (Stripe, Chargebee, Recurly, Zuora, etc.) and roughly your ARR/MRR, I can narrow this to the 2–3 best choices and compare upgrade/downgrade logic, NRR, cohort reporting, integrations, and pricing.

Handling mid-cycle changes like upgrades, downgrades, and prorations is notoriously tricky for generic accounting software or DIY spreadsheets . When subscription analytics tools fail to parse these events correctly, your expansion MRR, contraction MRR, and net revenue retention (NRR) skew entirely.

Dedicated subscription analytics and revenue management platforms solve this by treating the billing engine as the single source of truth and automatically mapping the MRR movement waterfall (New, Expansion/Upgrade, Contraction/Downgrade, and Churn).

Top options on the market depend on your specific tech stack and company stage:

• ChartMogul — Widely considered the gold standard for mid-market SaaS subscription analytics. It connects cleanly to Stripe, Chargebee, Recurly, and custom APIs, offering powerful data-cleaning features that correctly categorize mid-cycle upgrades, downgrades, and prorations without messing up customer cohorts or creating false churn.
• Baremetrics — Best for teams using Stripe, Braintree, or Chargebee who want an out-of-the-box, visually clean dashboard. It syncs in minutes and instantly breaks down real-time MRR movements, including expansion and contraction metrics, without heavy configuration.
• Maxio — Ideal for growth-to-scale B2B SaaS companies that need both advanced subscription analytics and complex quote-to-cash/billing operations. It natively handles things like multi-attribute pricing, contract changes, and ASC 606 revenue recognition alongside clean ARR/MRR movement reporting.
• ProfitWell (by Paddle) — Offers robust, free core subscription metrics (via Paddle Metrics) that accurately map out expansion and contraction components. It’s a great lightweight choice if you want reliable metrics without an immediate software investment.
• Chargebee or Recurly — If your issue stems from a disjointed analytics tool trying to read a messy billing system, switching to a billing-first platform with robust native analytics (like Chargebee or Recurly) ensures that upgrades and downgrades are calculated natively at the moment the invoice changes.

To help narrow down the best fit, could you share:

• What billing provider or payment gateway (e.g., Stripe, Chargebee, custom database) you are currently using?
• Roughly how much ARR/MRR your company is tracking?

When internal spreadsheets or native payment gateway dashboards (like Stripe or Chargebee) miscalculate mid-cycle plan changes, prorations, expansions, and contractions, you need a dedicated subscription analytics platform that ingests billing data and normalizes MRR movements.

Top platforms that specialize in parsing upgrades, downgrades, expansion MRR, and contraction MRR include:

• ChartMogul — Widely regarded as a gold standard for clean subscription data analytics . It connects directly to gateways like Stripe, Braintree, and Chargebee, automatically parsing and categorizing new business, expansion (upgrades), contraction (downgrades), reactivations, and churn. It also features powerful data-cleaning tools to merge duplicate customer records.
• Baremetrics — A lightweight, highly visual analytics and metrics tool built specifically for SaaS . It provides an immediate, real-time dashboard tracking over 28 metrics , explicitly separating expansion MRR and contraction MRR so you can see plan shifts instantly without a massive configuration project.
• Maxio — Ideal if your reporting issues stem from complex billing, invoicing, and revenue recognition requirements . Maxio combines sophisticated recurring billing operations with deep financial analytics, making it robust for tracking accurate expansion and contraction across multi-tiered or usage-based pricing models.
• ProfitWell (Paddle Metrics) — A popular freemium-to-enterprise choice that calculates core SaaS subscription metrics seamlessly . It focuses heavily on monetization and retention insights, accurately mapping out how upgrades and downgrades affect your overall Net Revenue Retention (NRR).

If you'd like to narrow down the best fit, tell me:

• What billing platform or payment gateway are you currently using (e.g., Stripe, Paddle, Chargebee, custom)?
• Are you dealing with usage-based billing or flat-rate seat tiers?

Yes. If the specific problem is MRR/ARR reporting that mishandles upgrades, downgrades, expansion, and contraction, I’d look at dedicated subscription-analytics platforms rather than relying on Stripe/billing reports alone.

Strong options

ChartMogul is particularly relevant to your situation: its MRR movement reporting explicitly distinguishes new business, upgrades, downgrades, churn, and reactivations, and it supports extensive customer segmentation and cohort analysis.

Paddle's ProfitWell Metrics is another particularly direct match. Its current metrics product includes MRR, churn, upgrades/downgrades, LTV, and active customers, while its MRR methodology explicitly treats an upgrade as MRR expansion and a downgrade as MRR contraction.

If your issue is actually financial reporting/revenue recognition, rather than just SaaS KPI analytics, I'd lean toward Recurly or Maxio. Recurly specifically supports contract modifications such as upgrades, downgrades, refunds, cancellations and price adjustments in its revenue reporting, while Maxio lets finance teams update contracts for upgrades and other changes while preserving the reporting history.

My shortlist:

1. ChartMogul — best pure analytics choice
2. Paddle/ProfitWell — easiest/lowest-friction option
3. Baremetrics — best if you also want operational churn/recovery tools
4. Maxio — best if Finance owns the problem
5. Recurly — best if billing + rev rec need to be solved together

One important distinction: MRR movement and GAAP revenue are not the same thing. A system can correctly classify an upgrade as expansion MRR while still needing a separate revenue-recognition treatment for the underlying contract. Paddle, for example, explicitly separates its MRR methodology from revenue recognition.

If you tell me what you're billing with (Stripe, Chargebee, Recurly, Zuora, etc.) and roughly your ARR/customer count, I can narrow this to the 2–3 platforms most likely to fix your reporting problem.

Yes. For the specific problem you describe—recurring revenue reporting that needs to correctly classify upgrades, downgrades, expansions, contractions, and churn—there are several established options.

What I'd shortlist for your problem

1. ChartMogul — probably the first one I'd evaluate.
It's purpose-built around creating a normalized subscription data layer rather than simply displaying what your billing provider says. It imports invoice/customer data, normalizes it into subscriptions, and calculates the SaaS metrics on top.

2. ProfitWell Metrics — worth trying if you want something inexpensive.
It specifically advertises reporting for upgrades and downgrades, alongside MRR, churn, LTV, and active customers, and its current Metrics product is free.

3. Maxio — I'd look here if the underlying issue is more than analytics.
If you have complicated mid-cycle upgrades/downgrades, proration, multiple products/components, annual contracts, etc., Maxio combines billing/subscription management with the analytics/revenue side.

One important distinction

If your current reporting is wrong because you're just comparing this month's total MRR with last month's, switching dashboards won't necessarily solve it.

A robust SaaS revenue model should attribute the movement between periods roughly as:

Beginning MRR + New + Expansion − Contraction − Churn = Ending MRR

So, for example:

• $100 → $150 plan = +$50 expansion
• $150 → $100 plan = −$50 contraction
• $100 → $0 = churn
• $0 → $100 = new
• $100 → $100 = no movement

And you need explicit rules for things like proration, pauses, reactivations, annual subscriptions, quantity changes, add-ons, discounts, and plan migrations.

If you tell me what you use for billing (e.g. Stripe, Chargebee, Recurly), your approximate ARR, and whether you have one or multiple billing systems, I can narrow this to the 2–3 tools most likely to fix your reporting rather than just give you another dashboard.

When recurring revenue reporting fails to handle upgrades, downgrades, and proration correctly, it is usually because the reporting layer is looking at raw invoices or cash flow rather than tracking an event-driven MRR/ARR roll-forward schedule.

Several dedicated subscription analytics and financial operations platforms specialize in automatically parsing subscription lifecycle events (new, expansion/upgrades, contraction/downgrades, churn) straight from billing engines like Stripe, Paddle, or custom databases.

Top Subscription Analytics Tools for SaaS

• ChartMogul — Best for clean, reconciled MRR tracking. It natively ingests billing data, neatly categorizes expansion, contraction (downgrades), and churn, and handles complex subscription movements without manual spreadsheet intervention.
• Baremetrics — Best for fast, Stripe- and Paddle-native setups. It provides instant, out-of-the-box dashboards explicitly breaking down upgrade and downgrade MRR movements alongside customer cohorts.
• Maxio — Best for scaling B2B SaaS companies that need combined billing, subscription analytics, and revenue recognition. It handles multi-product, seat-based, and usage-based pricing models where contraction and expansion calculations get messy.
• Chargebee — Best if you want the recurring billing engine and the analytics/revenue reporting tightly coupled into a single platform rather than syncing a separate analytics tool to an external billing provider.
• ScaleXP — Best for finance teams looking to unify data from CRMs (like HubSpot or Salesforce) and accounting software (like QuickBooks or Xero) to ensure upgrades and downgrades match actual contract effective dates rather than invoice lag.

To help narrow down which platform fits best, could you share:

• What billing or payment processor you currently use (e.g., Stripe, Chargebee, custom invoicing)?
• Are your upgrades/downgrades complex (e.g., mid-cycle proration, usage-based tiers, or multi-seat adjustments)?