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Honest analytics

Your dashboards disagree with each other.

You cannot tell what actually works.

Get honest numbers from your own store.

Real numbers from your own store.

Revenue, funnel, and what the seller moved. Never inflated, never vanity.

  • Measured on your own store
  • Estimates labeled as estimates
  • Your data exports any time
Vera, Analyst

Your AI team

Run by Vera, analyst.

Why it matters

Numbers you can defend

Measured on your own store's data, so the number you quote is the number that happened.

the seller shows receipts

Assisted orders and influenced revenue are broken out, so you judge the seller on results.

See where shoppers stall

The funnel from reached to identified points at the leak worth fixing first.

Monday takes a minute

Key numbers carry prior-period deltas, so a good week is visible at a glance.

How it works

How Monday morning reads

One owner, one coffee, the whole week in view.

  1. Step 1 of 4

    The week in one glance

    • Revenue, orders, and average order value, each with a delta against the prior period.
    • One, seven, thirty, or ninety days, one tap apart.
    • Revenue by day shows which days actually carry the week.
  2. Step 2 of 4

    The funnel shows where shoppers stall

    • Reached, sessions, engaged, identified, and the drop at each step.
    • Most-visited pages with real dwell show what holds attention.
  3. Step 3 of 4

    the seller shows its receipts

    • Assisted orders and influenced revenue, broken out from the rest.
    • Negotiated deals and what shoppers saved, right next to them.
    • She judges the seller on results, not on promises.
  4. Step 4 of 4

    She knows what to fix next

    • What shoppers ask and worry about, clustered into themes.
    • The most asked question is usually a one-line product page fix.

Measured on your store. Labeled when estimated.

Every number here comes from your own orders, visits, and conversations. A directional figure says estimate right on it, and no result is dressed up with an industry multiple.

Everything in the box

The numbers

Revenue, orders, AOV with deltasRevenue by day and top productsBest weekday and top discount codesRanges of 1 to 90 days

The audience

Visitor funnel, reached to identifiedMost-visited pages with dwellBehavior signals, broken downPer-shopper journey timelinesShopper questions, clustered into themes

Live and money

Live view of shoppers, pausableVisitors by country, privacy floorWhat you keep after fees, estimatedRevenue by source and medium

What the seller moved

Assisted orders, broken outInfluenced revenue on real ordersNegotiated deals and shopper savingsMost-negotiated products

The honest part

Estimates labeled as estimatesNo industry multiples on topMetrics defined once, shown everywhereCurrency-aware CSV exportsTracking honors opt-outs and DNT

SquareUp

What you stop paying for

The analytics dashboards you bolt on.

Triple WhalePolar AnalyticsLifetimelyPeel

Live in three steps

1

Open your insights

On from day one. Nothing to wire, nothing to tag.

2

Pick a range

One, seven, thirty, or ninety days, with deltas against the prior period.

3

Take it with you

Orders, customers, and promos export as CSV, currency-aware.

Fair questions

What makes it honest?
Everything is measured on your own store's data. Directional estimates are labeled as estimates, and nothing is dressed up with industry multiples.
Can I see what the seller actually moved?
Yes. Assisted orders, influenced revenue, negotiated deals, and what shoppers saved are broken out, so you can judge the seller on its results.
What time ranges can I look at?
One, seven, thirty, or ninety days, with prior-period deltas on the key numbers so a good week is visible at a glance.
Can I get my data out?
Yes. Orders, customers, and promos export as CSV, currency-aware, whenever you want them.
Sells more

Numbers you trust, bets that pay off.

No idea what's working

Make your next bet on numbers you can defend.

Shop the live demo, then get in line for a Monday view of your own store.

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