Stop exporting Snapchat Ads data and pasting it into Google Sheets by hand. Opera reads your existing sheet, appends the right numbers to the right rows, and keeps it current.
Yes — you can automate Snapchat Ads reporting in Google Sheets without exporting anything or breaking a formula. Opera reads your existing sheet, pulls spend, impressions & swipes, installs at your grain, and appends each period to the right rows on a schedule you set.
Opera pulls at the exact grain you report on and uses your KPI definitions, not generic defaults.
Marketing API stats — spend, impressions and swipes at campaign, ad squad and ad grain, with swipe-up vs view-through conversions reported separately.
View-through credit is generous and iOS runs through SKAN; Opera reconciles Snap-reported installs against the MMP before they enter any blended metric.
A correct pull is mostly correct filtering. Opera applies this client's rules on every run — not whoever-exported-it's defaults:
Date ranges resolve in the right timezone, campaign prefixes scope to the right market, and event names match this client's taxonomy exactly.
Every cycle, someone exports Snapchat Ads, reshapes the columns, finds the right week, pastes it in, fixes formatting, and hopes no formula broke. It's an hour lost on every report, every client, every week.
"Update last week's report with spend, impressions & swipes, installs from Snapchat Ads, by channel."
Opera reads your sheet's structure first — tabs, headers, weekly blocks, monthly sections — then appends the new data to the right row. Formulas are extended, never overwritten; writes are append-only by default.
Snapchat is swipe-driven and reports view-through conversions generously, and its self-reported installs overlap with MMP attribution. For iOS app campaigns, SKAN delays and caps what's available. Treat Snapchat's figures as platform-reported and reconcile them to your MMP before rolling them into blended metrics.
Snapchat Ads's self-reported numbers won't match what your MMP attributes. Opera lines Snapchat Ads spend up against AppsFlyer (or Adjust) and your other platforms in the same report, so the blended picture holds together.
Illustrative — the structure of one appended week, not real figures.
| Week | Spend | Clicks | Conversions | CPA | ROAS |
|---|---|---|---|---|---|
| Wk 23 | $22,400 | 41,900 | 1,180 | $18.98 | 2.4 |
| Wk 24 | $24,150 | 44,300 | 1,305 | $18.51 | 2.6 |
Opera turns the weekly Snapchat Ads export into a scheduled job that keeps your existing Google Sheets current and reconciled — so your team spends its time on decisions, not data entry.
Run it daily, weekly or monthly. Opera refreshes the data, updates the sheet, and posts a Slack or email summary — without anyone touching an export again.
Opera is built to touch production reports and live ad accounts without breaking anything:
See this running on your own reports.A 45-minute workflow audit maps your current process and shows exactly what Opera automates — step by step.
Three minutes: a plain-language request, a Sheet schema read, an AppsFlyer pull, a previewed append, a Slack summary — then a paused campaign launch.