Scenario · store health diagnosis

A daily store scan,
so issues get handled before they grow.

No waiting for instructions. The team checks store performance on a set rhythm, locates anomalies across traffic, ads and repeat purchase, and delivers the diagnosis with a fix alongside it.

Dailyauto-scan
Traced to a personwith a fix attached
Exportablediagnosis report
The main challenges in this scenario

Scattered data, hard-to-trace causes, slow response.

Data spread across backends

So many reports and backends that people can't cover them all, so problems often surface only after they've cost you.

You see results, not causes

Traffic is clearly down, but whether it's ranking, conversion or ads is hard to tell, and there's no obvious place to start.

Response is usually late

By the time it's noticed, orders are often already lost and the fix costs more.

How the team runs it

A standard four-step flow; you confirm the key steps.

01
Connect and scan
Once the store backend and ad reports are authorized, the team auto-scans key metrics every day.
Data analyst
02
Locate anomalies
Break the decline down to the exact link: which keyword slipped in rank, which ad is burning spend, which returns are rising.
Data analyst
03
Assign the fix
The lead pins each issue to the right specialist, with the cause and a suggested action.
Team lead
04
Report for approval
Once the plan is ready it comes to you; anything touching price or spend waits for your OK.
Team lead
Recommended team

The recommended team for this scenario.

Diagnosis response team · 4 specialists
The lead coordinates; the specialists below split the work and can scale up or down.
Team lead
Coordination & approval
Data analyst
Scan & attribution
Content specialist
Content fixes
Ads specialist
Ad fixes
What you get

Deliverables you can use directly.

  • A daily scan brief, with 3 key findings or fewer
  • An anomaly list, each traced to a link and owner
  • An actionable fix plan, with expected impact
  • An exportable diagnosis report, reviewable anytime
Flagship store · daily scan3 found
Organic traffic down 12% MoMData+Content
23% of budget on low-ROAS keywordsAds
Return rate above category averageContent+CS
Diagnosis complete · fix ready, awaiting your approval

We used to watch several backends by hand; now a scan brief comes in every day and issues get caught before they grow.

A consumer brand
Head of operations

Handle problems before they cost you.

A free tier is included, no payment method required. Describe your business and the lead configures the team.