Opera updates the Google Sheets reports you already deliver — pulling AppsFlyer, Google Ads, Meta, TikTok and Snapchat data, reconciling spend against attribution, and appending without breaking a formula. Then it runs the schedule, launches paused campaigns and deploys creative.
AppsFlyer · Google Ads · Meta · TikTok · Snapchat
Google Sheets · Docs · Drive · Slides · Slack · email
geo = US, campaign names starting US_, the exact event name, re-engagement excluded.Export AppsFlyer, reshape columns, find the right week, paste, fix the formatting, recheck a formula someone broke — per client, per week. 45–90 minutes each, and one wrong-week paste away from a client noticing.
The same report, updated by the same logic every time: schema read, filtered pulls, reconciliation, preview, append, summary. Your analyst reviews a diff instead of building a tab.
The repetitive 70–80% of reporting disappears. The team's week moves to spend allocation, creative testing and the commentary clients actually pay for.
Opera reads your sheet's schema — tabs, monthly sections, weekly blocks, formulas — pulls filtered data from AppsFlyer and the ad platforms, previews the write, and appends safely.
Create paused campaigns, change budgets, edit targeting and ad copy across Meta, Google, TikTok and Snapchat — each platform's own structure respected, every change previewed and approved.
One creative pack in; each asset deployed to its designated campaigns, ad sets, ad groups and ad squads — format-validated, copy paired, previewed before it ships.
Daily, weekly and monthly runs that re-validate the sheet's schema, pull fresh data, append, and notify Slack or email — with run history, failure alerts and pause/resume.
Every client adds reports in their own format. At 2–4 hours per client per week, ten clients is most of an analyst — spent moving data, billed to nobody.
Launches rebuilt by hand in three ad managers, budget changes clicked one by one — operational drag that grows with every market you add.
Each refresh means uploads, mappings and copy across platforms — mechanical work that delays the test the creative was made for.
When the repetitive layer runs itself, the same team handles more clients — growth without matching reporting headcount, and margin that stays in the business.
No dashboard migration. No rebuilt reporting system. Opera adapts to your existing workflows.
Different sheets, KPI definitions, campaign prefixes, event names, country filters and constraints. Opera learns them once and applies them on every run — so client #12's report follows client #12's rules, not a template.
Before any write: schema re-validated, target row previewed, duplicate period checked, formula regions protected. If a sheet's structure changed since the last run, Opera halts and flags it — it never guesses. Read the full safety model →
| Instead of… | What it does | Where it stops | Opera |
|---|---|---|---|
| Dashboards & BI Looker Studio, Tableau | Visualize data in a new interface | Your client's Sheet stays manual; nothing gets executed | Maintains the actual report your clients already receive — in Sheets |
| Connectors Supermetrics, Funnel | Move raw platform data into tabs | You still structure, reconcile, format and update every week | Understands the report's schema and finishes the job — reconciled, appended, summarized |
| Workflow automation Zapier-style | Trigger→action steps between apps | No notion of sheet structure or marketing context; breaks silently | Validates before every write, halts on schema drift, logs everything |
| Generic AI chatbots | Draft copy, answer questions | Can't safely touch production reports or live ad accounts | Executes with guardrails: previews, approvals, paused-by-default, audit trails |
Opera is the operations layer that understands marketing context and safely executes the work. See the full comparisons →
A 45-minute teardown of how you report today — every step mapped, the automatable ones marked, the spec in writing. Useful whether or not you buy.