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One live view of your SaaS metrics, instead of
a dozen tabs that never agree

Your MRR sits in Stripe, churn in your billing tool, usage in your product DB, pipeline in the CRM, and the real numbers in a founder's spreadsheet. kratt builds one dashboard on top of all of it, hosts it, and keeps it running, so you see the money moving and leaking in real time.

The math

What the open loop is costing you.

The conservative numbers below are pulled from kratt's audit data and published industry research for SaaS. Every leaky channel here is a competitor's win.

42
SaaS apps per company
Companies under 200 employees run an average of 42 SaaS applications, so operational truth is scattered across dozens of disconnected systems (BetterCloud).
20-40%
of churn is involuntary
At many SaaS companies, 20-40% of total churn comes from failed payments alone, the kind of leak a live dashboard surfaces before renewal (Baremetrics, Dodo Payments).
1-5%
of revenue leaks yearly
SaaS businesses lose an estimated 1-5% of revenue annually to billing and subscription leakage that goes unnoticed without a single reconciled view (Lago, MGI Research).
~80%
of data time is prep
Data and finance teams spend roughly 80% of their time gathering, blending, and cleaning data rather than analyzing it, most of it stitching numbers between tools (IDC, Forbes).
Conservative annual leak
$60,000-$300,000 / yr
At the low end of published billing-leakage estimates (1-5% of revenue), a $2M ARR SaaS loses $20k-$100k yearly, and that is before counting the analyst hours burned reconciling spreadsheets and the slow decisions made on stale numbers.
  • · BetterCloud, 2026 SaaS statistics (companies under 200 employees use an average of 42 SaaS applications)
  • · Lago, 'Revenue Leakage in SaaS: How Billing Gaps Cost 1-5% of ARR'; MGI Research on billing-related revenue leakage
  • · Baremetrics and Dodo Payments on involuntary churn (20-40% of total churn from failed payments)
  • · IDC and Forbes research on data professionals spending ~80% of time preparing data versus analyzing it
The stack

Wired into the tools you already run.

Stripe / Chargebee / Recurly billingPostgreSQL / your product databaseHubSpot / Salesforce CRMSegment / PostHog / Amplitude product analyticsIntercom / Zendesk supportSlack / email for scheduled alerts

We build on the stack you already pay for. No rip-and-replace, no forcing your data into a new platform. The dashboard reads from Stripe, your product DB, your CRM, and your analytics tools, reconciles them into one view, and pushes alerts to where your team already works.

What it does

Four playbooks shipping in week one.

Each playbook is shippable within audit in days of kickoff. Most SaaS clients start with the first two and add the rest in weeks 2–4.

MRR waterfall that finally reconciles

One live view of new, expansion, contraction, and churned MRR pulled straight from billing and your product DB, so the number the board sees matches the number in Stripe. No more month-end spreadsheet scramble.

Replaces the founder's manual MRR sheet

Involuntary-churn early warning

Surface failed payments, expiring cards, and dunning status before they become cancellations. Since 20-40% of churn is involuntary, catching it on the dashboard is often the fastest revenue you'll recover.

Targets 20-40% of total churn

Cohort retention without the data team

Net and gross revenue retention by signup cohort, plan, and segment, refreshed automatically. The chart investors ask for, ready instead of reconstructed from raw exports each quarter.

12+ months of clean cohort data on demand

Usage-to-revenue health view

Join product usage with billing so you can see which accounts are going quiet before they churn and which are ready to expand. Account health stops living in three different tools and one rep's head.

One view across product + billing + CRM
The benchmark

Real numbers from a real operator.

Audit benchmark

Illustrative: a Series A SaaS swaps five spreadsheets for one live operations dashboard

SaaS · B2B subscription
5 to 1
reporting sources consolidated
days
build window, not months
hosted
kratt runs and maintains it
Pricing

What it costs, without the dance.

No fixed price list. Every SaaS stack is wired differently, so we start with a free AI audit that finds where your numbers disagree and what each blind spot costs in dollars. From there we scope a hosted dashboard plus a run-it-for-you retainer, priced against the leak it closes rather than per seat. The audit is yours to keep regardless.

SaaS · FAQ

Five things SaaS operators ask first.

The questions every SaaS prospect asks on the first call. Answers in writing so you can decide before booking.

How much does a custom SaaS dashboard from kratt cost?+

It starts with a free AI audit. We map where your numbers live, how they disagree, and what each blind spot is costing you in dollars, then scope a build against that. You get a hosted dashboard plus a retainer to run and evolve it, priced to the leak it closes, not a per-seat license. We share a number after the audit so it is tied to your real stack, not a guess.

Why not just use Baremetrics, ChartMogul, or ProfitWell?+

Those are great for standard MRR and churn off your billing system. They stop where your data gets weird: your own product DB, a custom pricing model, usage-based billing quirks, CRM pipeline, or support signals. kratt builds the view those tools can't, joining billing with your own systems, and we host and maintain it so it keeps working as your schema changes.

We already have analysts pulling reports. Why build a dashboard?+

That is exactly the cost. Data and finance teams spend roughly 80% of their time gathering and cleaning data rather than using it (IDC, Forbes). A live dashboard turns that recurring manual work into a one-time build, freeing your people for analysis instead of reconciliation, and removing the version-of-truth arguments at month-end.

Where does the dashboard live, and who maintains it?+

kratt hosts and runs it. We build on top of your existing stack, Stripe, your product database, your CRM, your analytics, and keep it running as a service. When a billing field changes or you add a plan, we fix the pipeline. The only thing that is yours to keep no matter what is the free audit.

Is our billing and customer data safe?+

We connect through read scoped credentials and the same APIs your team already uses, pulling only the fields the dashboard needs. We do not move you off your systems or copy data you don't need. Specific access, hosting, and data-handling details are agreed in the audit before any build starts.

How long until we see a working dashboard?+

Days, not months. The free AI audit comes first to confirm where the data lives and which leak to close. From there we ship a working first version fast, usually a single reconciled view, then iterate. We would rather get one true number live this week than promise a perfect platform next quarter.

What does the free AI audit actually look at?+

We trace where your revenue numbers live, which tools disagree, and the leaks hiding in the gaps: involuntary churn from failed payments (20-40% of total churn at many SaaS companies), billing leakage (1-5% of revenue), and the analyst hours lost to manual reporting. You leave with a ranked, dollar-tagged list of what's leaking, yours to keep whether or not you hire us.

Can the dashboard send alerts, not just show charts?+

Yes. Beyond the live view, we wire scheduled and threshold alerts to Slack or email, failed-payment spikes, a cohort's retention dropping, an account going quiet. The point is to catch the leak the moment it moves, not to find it in next month's report.

By industry

Other verticals we ship custom dashboards for.

Same dashboards, portals, and internal tools on your stack, tuned to industry-specific needs. Same deploy cadence. Same guarantees.

Ready for saas
custom dashboards?

Book a 30-min strategy call. We’ll map your current setup, show you the system in action, and quote the deploy. If it’s not a fit, we’ll tell you on the call.

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The AI consultancy that finds the money your business is losing, then builds, hosts, and runs the AI to get it back. Shipped in days, not months.

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