Agency client reporting automation

If you run a paid-media agency, you already know the number: two to four hours per client per week on reporting. At ten clients that's most of an analyst — spent moving data between ad managers and Sheets, billed to nobody, scaling linearly with every client you sign.

The manual workflow you're running today

Per client, every week, someone on your team:

1. Exports or screenshots spend from Meta, Google, TikTok and Snapchat ad managers
2. Exports AppsFlyer (or the client's MMP) for installs and conversion events
3. Reshapes the exports to match this client's column order and definitions
4. Finds the right tab and the current monthly section in the client's workbook
5. Pastes the week, fixes formatting, checks no formula broke
6. Recomputes CAC/CPI/ROAS the way this client defines them
7. Writes the summary message and posts it to the client channel

Multiply by the roster. The work is identical in shape and different in every detail — which is exactly why it never got automated with templates.

What breaks (and what it costs)

• Wrong-week pastes — week 23 lands in week 24's row, the client notices first
• Definition drift — a new hire computes CAC on installs for a client who counts purchases
• Format mutations — each analyst leaves fingerprints, and the report slowly stops matching itself
• The Monday bottleneck — every client wants the same morning, so quality drops exactly when visibility peaks
• Churn risk — reporting errors are the cheapest way to make a good agency look careless

Why templates never fixed this

Every agency dashboard tool solves reporting by making clients adopt its format. Your clients won't: they want their Sheet, their KPI names, their monthly layout. Opera inverts the model — it learns each client's existing report instead of replacing it:

What Opera does, per client, per run

1. Re-validates the client's sheet structure against the stored mapping (halts on drift)
2. Pulls each platform with that client's filters — prefixes, geos, events
3. Pulls the MMP at the right grain — aggregated spend via AppsFlyer Master API, event counts via the Raw Data Pull API
4. Reconciles platform spend against attribution; computes the client's KPIs
5. Previews the append, checks the period isn't duplicated, writes append-only
6. Posts that client's summary to that client's channel

"Update every client's weekly report and send each its Slack summary."

One instruction; the roster runs. Each client's run is isolated — credentials, data, rules and logs never cross.

What the output looks like

Each client receives exactly what they receive today — their Sheet, current — plus a summary like:

Acme — Wk 24 · Spend $18.4k (+5%) · New customers 1,212 (+9%) · CAC $15.18 (−4%) · ⚠ TikTok CAC above target — detail in the Sheet

Your team's Monday becomes reviewing twelve diffs and writing the strategic commentary clients actually value — not rebuilding twelve tabs.

Where the recovered hours actually go

The honest answer from rollouts: not to leisure — to the work that was being starved. Account leads report deeper QBR preparation (the quarter already exists, correct, so prep becomes thinking), more proactive testing (creative and audience experiments that previously lost the calendar fight to Monday assembly), and earlier client communication when something moves. The renewal conversation changes texture: an agency that arrives with analysis every week is selling judgment, and judgment is the part that doesn't commoditize. The hours were never the point; the altitude was.

Making the internal case

The pitch to your own team is three numbers tracked honestly: hours per client per week (before: 2–4; after: review minutes), client-visible reporting incidents per quarter (target: zero, enforced by guards rather than vigilance), and time-to-summary on Monday (before: afternoon; after: before standup). Run the pilot on two clients, measure all three, and the rollout argues for itself — which beats any slide you could build about it.

Monday, at roster scale

The operational artifact that makes twelve clients reviewable is the roster overview: one row per client — last run status, period appended, CAC vs target, variance flag, summary sent. Your Monday triage is one glance: ten green rows skimmed in a minute, two flagged rows opened, commentary written where it matters. Compare that to twelve workbooks opened "just to check" — the checking was the workload.

"Couldn't we just hire a junior?"

You could — and you'd be paying a person to be worse at the part machines are good at (identical execution, every week, no drift) while denying them the part juniors should learn (judgment, client narrative). The error tax also runs highest exactly where experience runs lowest. Automate the mechanical layer; spend the junior's year on analysis with a finished report in front of them.

Rolling it out across a roster

Isolated and safe by client

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.