Tools for running several SaaS products at once

When we had one product, checking on it meant opening Stripe and PostHog. By the third, it was Stripe three times, PostHog three times, Search Console, Sentry, and an uptime monitor, most mornings. That is part of why we build LopeBase, which is one of the tools below, so read this knowing we have a stake in the answer. Every other tool here is described from its own website and pricing page as of October 2026, and where another tool does a job better than ours, we say so.

What we check every week

Our own weekly list is short. What each product earned, and whether any payments failed. How many people visited and signed up. Which searches brought them in. Whether anything went down, threw errors, or failed to build. And when someone on the team changed a customer's account, a record of what they changed.

Each of the tools below covers part of that list. None of them covers all of it without some setup.

What changes with several products

With one product, almost any tool works. With several, a few things start to matter. You want a total and a row per product, so growth in one product does not cover for a decline in another. You want read-only access, because a reporting tool has no reason to hold a key that can refund a charge. And you want to know what the price counts. Seats, data sources, billing accounts, and revenue all grow at different rates as you add products, and that can matter more than the starting price.

Building it yourself

For a single product, this is usually what we would suggest. A page that calls the Stripe API, your analytics API, and Search Console costs nothing, shows exactly the numbers you care about, and sits next to the rest of your code.

The trouble starts with the second product. You either copy the page and keep two of them working, or you make it generic and end up maintaining a dashboard alongside the products you actually sell. The parts that tend to get skipped are uptime checks, alerts, and an audit log, since nobody needs them until something breaks. Our page on LopeBase vs building your own goes into more detail.

Retool and Forest

Retool is for building internal apps on your own data. You put screens together from components and connect them to your databases and APIs, which makes it a good fit for something like a support console or a refund flow. It charges per person. On annual billing, Team is $10 a month per builder and $5 per internal user, and Business is $50 and $15. There is a free plan for up to 5 users.

Forest, which used to be called Forest Admin, puts an admin panel on top of your application's data. A backend runs on your own infrastructure and reads and writes your data sources directly. Forest describes itself as infrastructure for regulated companies, and the pricing reflects that: after the free Sandbox plan, Starter is $499 a month.

Both are about records, meaning finding a customer and changing something about them. In either one, a view of revenue, traffic, search, and uptime across products is something you would build yourself. We compare each with LopeBase on the Retool and Forest Admin pages.

Databox

Databox connects to more than 130 tools, by its own count, and builds dashboards, reports, and goals from them. It is aimed at teams reporting on marketing and sales across ads, CRMs, and spreadsheets.

If you run several products, look at how it counts data sources. Each account, property, or view counts as one, so three products with their own Google Analytics property use three. The free plan allows 3 data sources, and Analyst, at $71 a month on annual billing, allows 5. You also design the dashboards and set the thresholds yourself, so deciding what counts as a problem for each product is part of the setup. More on the Databox comparison.

Baremetrics and ChartMogul

Both are subscription analytics tools. They report MRR, churn, segments, and forecasts, and they read from many billing systems, including Stripe, Paddle, and the app stores. For detailed revenue analysis, they do more than anything else in this post.

Their pricing is tied to revenue. Baremetrics Launch costs $75 a month for up to $360K ARR. ChartMogul is free up to $10K MRR, and its paid plans cost more as revenue grows. They also count billing accounts. Baremetrics Launch includes one integration, ChartMogul's Free and Starter plans connect one billing system, and its Pro plan connects up to 5. If every product has its own Stripe account, that decides which plan you need. We compare both on the Baremetrics and ChartMogul pages.

LopeBase

LopeBase is what we built for our own version of this problem. You connect each product's existing tools, using read-only keys or one-click sign-in, and the products appear together on one Overview. Revenue comes from Stripe and Polar, traffic from PostHog, GA4, Plausible, or Cloudflare Web Analytics, and search data from Search Console and Bing. Sentry errors, GitHub builds, and uptime checks every 15 minutes sit alongside them. When something needs attention, like a past-due subscription or a site that stopped responding, it is listed on the Overview and can be sent to you by email or push notification. Changes made through the console are recorded in an audit log, with the values before and after.

It does not cover everything in this post. It cannot edit your database the way an admin panel can, though your app can expose specific actions through the LopeBase Adapter. It reports MRR, 30-day revenue, and past-due subscriptions, but not churn or cohorts. And for billing it reads only Stripe and Polar. Pricing is per product: free for one, $29 a month for 3, $99 for 10, and $299 with no limit.

Choosing

If you need screens that change your own data, look at Retool or Forest. If you report on marketing and sales from many different tools, Databox is built for that. If churn and forecasting are where you spend your time, try Baremetrics or ChartMogul. If you have one product and enjoy writing the code, build it yourself. LopeBase fits when you have several products and want their revenue, traffic, search, uptime, and errors together without building the view.

You may end up using two of these: one for the daily check across products, and one for a job that needs more depth, like an admin panel for support or a revenue tool for investor updates. If so, choose the daily one first, because that is the one you will open every morning.

If you are still adding up MRR by hand, the portfolio MRR calculator will do it in your browser, and our weekly review routine covers what to check once the numbers are in front of you.