Marketing reporting automation for subscription apps

Subscription growth lives or dies on the trial funnel and cohort economics. Reporting has to connect ad spend to trial starts, trial-to-paid conversion and cohort LTV — not just front-end installs.

The subscription apps funnel you're optimizing

Front-end clicks and installs are the top of a longer funnel — and for subscription apps, the metrics that decide profitability live further down it:

impression → install → trial start → trial-to-paid → renewal

What a good subscription apps report shows

CAC and cost per trial start by channel; trial-to-paid conversion; cohort LTV; churn-adjusted ROAS.

The measurement nuance that trips teams up

A run you could schedule today

"Refresh the funnel report: cost per trial start by channel, trial-to-paid for cohorts older than 14 days, and cohort LTV."

Opera counts trial_started and subscription_activated events per channel, holds young cohorts out of conversion rates, and appends the week with maturity labels so nobody panics over trials that simply haven't converted yet.

How Opera automates subscription apps reporting

Opera reads your existing report, pulls fresh data across platforms, appends it safely (formulas preserved), reconciles spend against attribution, and posts a summary to Slack or email — on the cadence you set.

"Update this week's report with spend and new customers by channel and market, and flag anything off target."

Safe enough for production

Opera is built to touch production reports and live ad accounts without breaking anything:

• No destructive writes. Updates are append-only by default — your existing data and formulas are never overwritten.
• Preview before execution. You see exactly what Opera will change before a single cell is written.
• Campaigns paused by default. New campaigns are created paused, with approvals required before any spend.
• Full audit logs and client-level isolation. Every action is logged, and each client's data and rules stay separate.