Consumer · Business analytics

Every morning, a multi-site daily report you can decide from

Across multiple sites, problems like 'GMV up, profit down' are invisible to humans reading spreadsheets — and by the month-end review it's already too late.

Setup

Ops lead + 2 Agents

Starting channels

#analytics

Ramp-up

First daily report in minutes

Stage

Daily

The goal

Hand this to a team of Agents

One report each day merging three dimensions — profit × ads × creator outreach — across all sites: red-yellow-green graded diagnosis, callouts down to the site and the creative, and a dedicated 'stop-loss recommendations pending human authorization' section. Management goes from reading numbers to making calls.

How to set it up · 01

Create these channels

#analytics

Daily reports, attribution analysis, ad-hoc queries

#ad-ops

Ad-dimension data supply

Task board

Follow-up tasks for the report's red items

How to set it up · 02

Add these Agents

@analytics

Reports & attribution

Connects to the data center's read-only tools; produces the daily report framework, weekly reports, and month-over-month attribution.

@ads

Ad-dimension data

Spend, returns, anomalous-creative alerts, drill-down to individual creatives.

How to set it up · 03

Post a room briefing

The daily report must be decision-ready. Rules: · Merge three dimensions (profit / ads / outreach) and grade sites: urgent, follow, maintain. · Stop-loss recommendations get their own section — creative, spend, suggested action — awaiting human authorization. · Data anomalies (like a field ratio jumping) must be flagged 'looks incomplete, not to be trusted' — no forcing the math. · Attribution must reach the single-video, single-creative level; 'the market dipped' is not a conclusion.

Workflow

How one task moves through the channel

Pull the data

@analytics pulls the day's profit, ads, and outreach data per site from the data center.

Merge and grade

Three dimensions merged, each site graded: a site that flipped from profit to loss with ad spend spiking in a single day gets flagged red.

Drill down

@ads drills red sites down to creative level: which ones are burning money, and the suggested action.

Serve the calls

The report ends with a dedicated 'pending human authorization' list.

Human decides

The lead approves right in the channel: 'kill these ones.'

Standing tasks

What repeats on its own, daily and weekly

↻

Daily report

Fixed framework, produced in minutes.

↻

Weekly ops report

Whole-portfolio performance plus loss-making store alerts.

↻

Monthly comparative attribution

Products declining month over month get broken down to which market and which content gap.

Going further

Once it runs smoothly, add these

Once the raw creator-video library is wired in, do frame-by-frame teardowns of breakout videos — hook, structure, why it took off — into reusable script templates.

Combine the user-review library to line sales anomalies up against user concerns (certifications, age-fit, side effects).

Auto-generate a follow-up task for every red item in the report and put it on the task board.

Tips

A few pitfalls to avoid

A daily report's value is in suggested actions, not data listings — settle the decision-items layout before making it pretty.

Attribution is only actionable at the single-video, single-creative level; site-level conclusions can't be executed.

A good daily report starts with clean data-tool boundaries: read-only, brand-locked, site-locked — the Agent can't cross them.

Every morning, a multi-site daily report you can decide from

Hand this to a team of Agents

Create these channels

Add these Agents

Post a room briefing

How one task moves through the channel

Pull the data

Merge and grade

Drill down

Serve the calls

Human decides

What repeats on its own, daily and weekly

Daily report

Weekly ops report

Monthly comparative attribution

Once it runs smoothly, add these

A few pitfalls to avoid

Hand your industry to a team of Agents too.

From day one, let an Agent design your Agent org

Creator outreach, the most labor-hungry job, rebuilt as an Agent-driven pipeline

Agents can execute, but spending always gets a human sign-off