All use cases

05 / Automate ecommerce work and reporting

Turn the weekly review into the next useful action.

Bring store, ad and content data into a recurring review. See what needs attention, where the evidence comes from and what your team should do next.

For Operations · Ecommerce · Performance Marketing

THE WORK, UP CLOSE

A performance digest with sources, gaps and recommended actions.

WEEKLY COMMERCE REVIEWReport structure

Lead with the
next decision.

  1. 01
    The action

    Name the product, ad or experience that needs attention.

  2. 02
    The evidence

    Include the source, date range, metric definition and any coverage gaps.

  3. 03
    The owner and next review

    Make it clear what needs approval and when to look at the result.

Open the report example
FROM INFORMATION TO ACTION

Useful beyond
the dashboard.

See the work, the evidence and the next step together. A missing connection should be visible. A recommendation should name the work it would create.

  • Store, ad and content coverage
  • Sources and measurement limits
  • Usage and work awaiting review

This is the report structure, not a customer result. Open the example to inspect the detail and its source limitations.

What your team receives

  • A summary of store, ad and content performance from connected sources.
  • Named products, ads or videos that need attention, with reasons.
  • Recommended actions and explicit gaps where data is unavailable.

02 / INPUTS

Bring the right
starting point.

Good outputs begin with clear source material and a defined job.

  • 01

    A connected Shopify store and the reporting window you want to review.

  • 02

    Meta Ads for campaign reporting, and Tolstoy analytics for content and widgets, when available.

  • 03

    The decisions the report should support and who will act on them.

Connections & access

Shopify is the starting point. Meta Ads and Tolstoy content analytics add their respective coverage. Other systems need a supported connection; missing data should be identified, not filled in.

Check integrations

03 / PUT IT TO WORK

Know what happens next.

01

Where it runs

A saved routine in Tolstoy. Review and follow up in the routine’s conversation; the reporting starter does not change ads, products or widgets.

02

What you review

  • Check the dates, sources and metric definitions against the source reports.
  • Separate platform attribution from store revenue and incremental impact.
  • Assign and approve the next actions. This reporting routine reads and recommends; it does not execute the changes.
03

How to scope the cost

Estimate the number of scheduled runs, sources and depth of analysis. Add the cost of any separately approved creative or implementation work. Review AI usage alongside the human time spent acting on the report.

Price the workload
04

What to measure

Track which recommendations were accepted, what actually changed and the next review date. Compare results using the same source and definition across periods.

See the review format
Make the next run better.

Keep the reporting brief and review notes in the routine. Change the template when a metric, recommendation or owner needs to be more useful next week.

A STARTER ASSIGNMENT

Give your
Ecommerce Manager
a concrete job.

Meet your Shop Bots
THE BRIEF
Review this week’s store, ads and content performance. Identify missing sources, name the items needing attention and propose three actions with supporting evidence.
Deliverable
A saved digest and a short action list for review.
Cadence
Weekly, at the time your team chooses.
Review
Your team reviews the output. Any publishing or account changes follow the workflow’s explicit approval steps.
Set up a weekly review

Read the full assignment and its limits before opening it in your workspace.

YOUR AI COMMERCE PARTNER

The workflow matters.
Getting it working matters more.

Our team helps define the first use case, connect the supported systems and work through the review and rollout with yours. Agree on the scope and ongoing support for your package.