# Conversion Stats

> See exactly where your funnel leaks — from paywall open to checkout — and which paywall, price, and placement actually converts.

Source: https://superwall.com/features/conversion-stats

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Analytics

#  Conversion Stats 

See exactly where your funnel leaks — from paywall open to checkout — and which paywall, price, and placement actually converts.

 You shipped a new paywall. Did it actually convert better — or did it just _feel_ better? Most teams can't answer that without exporting receipts, stitching together purchase events, and arguing over a spreadsheet a week later. Conversion Stats answers it for you. Superwall tracks every step of the funnel — install, paywall open, conversion, checkout — and computes the rates automatically, so you can tell what's working today and where revenue is leaking right now. 

## Know your real conversion rate, not a guess

 Superwall stitches together paywall events from the SDK and purchase notifications from the stores, then derives the metrics that matter without any tagging work on your side. The [charts dashboard](https://superwall.com/docs/dashboard/charts) ships with two dozen ready-made charts across revenue, subscriptions, paywalls, users, and retention — so the number you need is already calculated, not something you have to build. 

[ Explore the charts dashboard ](https://superwall.com/docs/dashboard/charts) 

The funnel metrics teams reach for most:

* **Paywall conversion** — the share of users who convert after opening a paywall, the cleanest read on whether a given paywall is pulling its weight ([paywall conversion](https://superwall.com/docs/dashboard/charts/paywall-conversion)).
* **Initial conversion** — how many brand-new installs convert on their very first paywall exposure ([initial conversion](https://superwall.com/docs/dashboard/charts/initial-conversion)).
* **Checkout conversion** — how often a started transaction actually completes, so you can catch drop-off at the store sheet ([checkout conversion](https://superwall.com/docs/dashboard/charts/checkout-conversion)).
* **Paywall rate & paywalled users** — how often people even reach a paywall in the first place, the denominator behind every conversion number ([paywall rate](https://superwall.com/docs/dashboard/charts/paywall-rate)).

## Slice it until you find the leak

 A blended conversion rate hides the story. Conversion Stats lets you **filter** down to a specific slice and **break down** any chart by dimension, so "conversion is down" becomes "conversion is down for new users in Germany on the annual paywall." Same data, sharper question. Breaking down proceeds by placement, for example, ties a feature you shipped directly to the revenue it produced — turning analytics into a to-do list instead of a postmortem ([filtering and breakdowns](https://superwall.com/docs/dashboard/charts)). 

* Pick any time range, from hourly to monthly, with natural-language dates.
* Switch between line, bar, stacked area, and stacked bar views.
* Export any chart to CSV when you need to take the data elsewhere.

## Tie conversion to your experiments

 Conversion Stats isn't a separate reporting silo — it's wired into your campaigns. When you run an A/B test, Superwall reports conversions, trial starts, and subscription starts per variant with **confidence intervals**, so you can call a winner instead of eyeballing it ([understanding experiment results](https://superwall.com/docs/dashboard/dashboard-campaigns/campaigns-understanding-experiment-results)). Because you change paywalls, prices, and offers remotely, you can act on what the stats tell you the same day — no app release, no engineering queue. 

Read more than one metric

 A higher conversion rate isn't always the win — paywall A can convert better while selling a much cheaper offer than paywall B. That's why experiment results default to **proceeds per user** and let you toggle other metrics alongside conversion. Always read conversion next to revenue. 

## What you can do with it

* **Find the leak.** Compare paywall open, conversion, and checkout side by side to see exactly which step is bleeding users.
* **Prove the win.** Confirm a new paywall, price, or offer actually moved conversion before you roll it out to everyone.
* **Segment the truth.** Break down by paywall, placement, geography, or cohort to find the slice that's underperforming.
* **Close the loop.** Spot a problem, change the paywall remotely, and watch the next day's stats — no build required.

## Get started

 Conversion Stats is built into every Superwall account — the charts start populating as soon as your paywalls are live. Wire up the SDK with the [quickstart](https://superwall.com/docs/quickstart), then open the [charts dashboard](https://superwall.com/docs/dashboard/charts) to watch your funnel fill in. [Start for free](https://superwall.com/sign-up) and stop guessing whether your paywall changes worked. 

[ Wire up the SDK ](https://superwall.com/docs/quickstart) 

##  More features 

| [ Apple Search Ads Attribution ](https://superwall.com/features/search-ads-attribution) | Connect Apple Search Ads spend to real subscription revenue — see which campaigns and keywords actually drive paying users, and segment paywalls by them. | Analytics |
| ------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- |
| [ Custom User Properties ](https://superwall.com/features/custom-user-properties)       | Attach whatever you know about a user, then target paywalls, branch experiments, and personalize copy by it — no app release required.                    | Analytics |
| [ Filters & Breakdowns ](https://superwall.com/features/filters-and-breakdowns)         | Slice your paywall and revenue data by placement, segment, and more — answer hard questions in the dashboard without exports, SQL, or a data analyst.     | Analytics |

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