AI data analyst for Shopify brands

Dashboards show you what happened. Daymark finds out why.

Connect Shopify, Meta and Google read-only. Ask in plain English. Get the answer and the work behind it.

Free to start · No credit card · Read-only · Never trains on your data

Reads directly from the tools you already run on

Answers you can't get from a dashboard

Each of these came from one plain-English question. None ship in a pre-built dashboard.

Retention

Your biggest channel is your worst repeater.

Social wins first orders. Referral wins second ones. Daymark ranks every channel by who actually comes back.

2.3×more repeat customers from Referral than Paid Search

Which channel brings customers who reorder within 60 days?

Second-purchase rate by channel
Bar chart: second-purchase rate by channel — Referral 3.83%, Organic 2.96%, Social 2.59%, Email 1.71%, Paid Search 1.67%

Referral drives 2.3× more repeat customers than Paid Search

Shopify × GA4 · 2,847 orders

Ad efficiency

Your best audience is your most underfunded.

One audience returns $6.30 per dollar — and gets your smallest budget. Daymark finds the money your dashboards bury.

$6.30back per $1 on the segment with the lowest spend

Which audience gets the highest ROAS but the smallest budget?

ROAS vs. ad spend by audience segment
Scatter chart: return on ad spend versus budget — Broad Audience returns $6.30 per $1 at the lowest spend

Broad Audience returns $6.30 per $1 — on your smallest budget

Meta Ads · last 90 days

Segments

Your 'At Risk' customers are your most profitable.

The customers you'd write off out-earn your newest ones. A winback beats another acquisition push.

$58.50profit per order — highest of any customer segment

Which customer segments are most profitable per order?

Average profit per order by segment
Bar chart: average profit per order by segment — At Risk $58.50, Loyal $58.50, Promising $51.28, New $51.27

"At Risk" customers earn $58.50 profit per order — your highest segment

Shopify · last 12 months

Anomalies

The traffic dip was one page, one channel.

Daymark traced a topline dip to a single page — and flagged a counter-trend you weren't even looking for.

−50.2%on one page, while another quietly grew+49.6%

Why did overall traffic dip this week?

Week-over-week traffic change by page & channel
Diverging bar chart: week-over-week traffic change — Organic to /pricing down 50.2%, while Referral to /signup grew 49.6%

One page, one channel — while /signup quietly grew +49.6%

GA4 × Shopify · this week vs. last

What do you want to know?

Free to start · No credit card · First answer in ~5 minutes

Goals

Don't know what to ask? Give it a goal.

Set a goal like “lift repeat-purchase rate.” Daymark digs through your data, finds where the opportunity is, and hands back experiments to run — with what to change, why, and how to measure it.

Goal

Lift 60-day repeat-purchase rate

Suggested experiments

  • Add a post-purchase email flow at day 21High impact
  • Bundle your two most co-purchased SKUsMedium
  • Win-back offer to the At-Risk segmentHigh impact
Tracking: 60-day repeat rate
How it works

An analyst you can watch work.

Not a black box. Daymark connects, reasons, and shows every step.

01

Connect, read-only

Shopify, Meta, Google Ads and GA4 in minutes. No pipeline, no migration.

+ more
02

Ask, or give it a goal

Ask in plain English — or hand Daymark a goal and it hunts your data for the opportunity and what to try next.

03

See how it got there

Every answer ships with the summary, the chart, and the exact queries it ran.

Read-only connectorsNever trains on your dataNo production writes

Your first answer is five minutes away.

Connect your store read-only. Ask anything. Free to start.

No credit card · Read-only · Never trains on your data

Frequently asked questions

What kinds of questions can Daymark actually answer?

Open-ended ones. Not just “what was revenue last week”, but “which channel brings customers who reorder”, “which segment is most profitable per order”, or “why did revenue dip when sessions didn't”. Daymark builds the query logic, runs it across your connected sources, and explains the result — including questions no pre-built dashboard ships with.

Which data sources can I connect?

Shopify, Meta (Facebook) Ads, Google Ads, Google Analytics, and Google Search Console for D2C brands — plus HubSpot, PostgreSQL, Google Sheets, and CSV uploads. You can ask questions that span several of them in a single query.

How is this different from Triple Whale or Polar?

Those are attribution dashboards — they answer a fixed set of pre-built questions well. Daymark is an analyst: you ask anything, across any of your sources, and it works out the answer and shows its reasoning. It's for the questions that don't fit a template.

How is this different from just asking ChatGPT?

Daymark is connected directly to your live Shopify and ad data through read-only connectors, understands each source's schema, and runs real queries you can inspect. You're not pasting exports into a chat window and hoping — every answer is traceable to the exact query it ran.

Is my store and ad data safe?

Yes. Daymark uses read-only connectors and never copies or migrates your underlying data. Our AI agents process only schema metadata and limited query results. Your data is never stored on Daymark servers, never used to train AI models, and never shared with third parties.

How long does setup take?

Most brands connect their first source in under 5 minutes. There's no data migration — Daymark reads directly from your existing systems, so you can have your first insight before the end of your first session.

Is there a free plan?

Yes — no credit card required to get started. You can connect your first source and run queries immediately on the free plan. See full pricing →