Run LTV, Retention & Experiment Reports With Superwall Agents

Run complicated LTV, retention, and experiment reports — just by asking. Your hardest growth questions usually die in a queue. Superwall Agents connects to your org, reads your real data, and turns those questions into charts and reports in plain English — the same day you ask.

Why it matters

Growth teams already have the data to know what grows LTV. What they don't have is time to dig it out. "What's realized LTV per paid user by cohort?" or "Which experiment variant actually retained subscribers?" each becomes an analyst request and a wait.

This is the same pain customers describe across the board: they want one place to understand what's working and the autonomy to move without waiting on engineering or analysts. Superwall Agents removes the queue between a question and an answer — so you can find the winner, understand the segment, and run the next test on your own schedule.

What you can do with Superwall

• Analyze experiments in plain English. Ask which variant is winning, which segments look different, and what to test next. Superwall Agents analyze experiment results and find winning segments without a SQL query.

• Build LTV and retention reports. Pull the metrics that map to your hardest questions — like realized LTV per paid user, net proceeds per paying user cohorted by install date, and subscription retention, how subscription cohorts retain over time.

• Get charts, not raw exports. Agents generate charts, summaries, files, and reports you can share with the team.

• Turn analysis into the next test. Beyond the chart, Agents suggest concrete experiment ideas and paywall adjustments to ship next.

• Schedule recurring readouts. With automations, send a saved prompt to a chat on a schedule — like a Monday paywall opportunity report — so the work runs without a person present.

• Put reports where your team works. Connect GitHub, Slack, and provider tools so analysis lands in the channels you already use.

How it works

• Start a chat. Open Superwall Agents and you get the composer, organization selector, model selector, and suggested prompts. Starting a chat is as simple as picking your org and asking a question; you can drag and drop up to 10 files (CSVs, screenshots, exports) for the agent to analyze.

• It reads your real data. When you select an organization, Superwall provides the org ID and a managed API key to the agent, so reports run against your actual experiments and revenue — not a sample.

• Ask, get charts, act. Ask a question like "Compare paywall conversion, trial conversion, and ARPU over the last 30 days by country and demand score bucket" and the agent returns charts and the biggest opportunities. Browse more in the recipes.

• Automate the recurring ones. Set a schedule such as "Every Monday at 9 AM America/Chicago, review the previous week's experiment results and suggest three next tests" and it runs on the hosted control plane.

Proof from customers

Customers consistently ask for an "air traffic control" view of monetization — one place to understand what's working across paywalls, offers, web, and app, rather than fragmented data. They also want growth teams to move without waiting on engineering or analyst queues.

Superwall Agents answers both: it reads your real data and produces shareable analysis on demand, and it lets non-analysts run complicated LTV, retention, and experiment reports themselves.

The docs-backed recipes mirror the exact questions teams ask — comparing conversion and ARPU by country and demand score, finding campaigns with strong traffic but weak conversion, and recommending the next three tests with expected impact and risks.

Use cases

• Weekly experiment readout. A scheduled Monday report covering last week's results plus three recommended next tests.

• LTV by cohort. Realized LTV per paid user cohorted by install date, to see which acquisition cohorts pay back.

• Retention deep-dive. How subscription cohorts retain over time, segmented to find where churn concentrates.

• Localized opportunity scan. Compare trial conversion and ARPU by country, then recommend where to run localized paywall tests.

• Variant + segment analysis. Identify the winning variant and the segments driving it, then queue the follow-up experiment.

Get started

Connect your organization and ask your first LTV, retention, or experiment question. Start with the Superwall Agents overview and the start-a-chat guide, then browse the recipes for ready-to-run prompts. New to Superwall? Create an account and explore the docs.