Ask questions
Use everyday language to understand sales, advertising, products, customers, and profit.
Example
“Which campaigns brought in profitable first-time customers?”
Shopify
Meta Ads
Google Ads
Google Analytics
Google SheetsGetting the full picture should not take hours
Your store and advertising platforms each tell a different part of the story. Answering one useful business question often means exporting reports, joining spreadsheets, and checking the same numbers again.
- Store and advertising numbers live in different places.
- Reports explain what happened, but not what to do next.
- Important questions require spreadsheets or specialist help.
- The same analysis has to be repeated every week.
A common weekly question
“Revenue went up. Did profit improve too?”
Shopify
Revenue
+18%
Looks positive
Advertising
Spend
+31%
Growing faster
Product costs
Gross margin
-6%
Moving down
Daymark
What it means
Profit is down
Two campaigns need review
Understand what is happening and what to do next
Daymark helps you move from a business question to a clear action plan without rebuilding reports or waiting for specialist help.
Find opportunities
See what is helping or hurting growth across all your connected sources.
Example
“Where are we spending more without increasing profit?”
Create a plan
Turn what you learn into actions, experiments, targets, and follow-up checks.
Example
“Create a plan to improve profit without reducing revenue.”
From connected data to a decision
The workflow stays simple, even when the question needs information from several tools.
- 1
Connect your data
Add your store, advertising platforms, analytics, and cost data.
- 2
Ask a question or set a goal
Start with something you need to understand or improve in your business.
- 3
Review the analysis
Daymark brings the relevant numbers together and explains what they mean.
- 4
Act and track the result
Use the plan to run an experiment, measure it, and decide what to do next.
See what a growth plan includes
Start with a goal. Daymark reviews the relevant data, identifies likely causes, and creates a plan your team can use.
Example goal
Improve profitability without reducing revenue
Daymark reviews product sales, margins, advertising costs, and customer behavior to find where profit is being lost.
Find products and campaigns with weak contribution margin.
Separate acquisition problems from product-cost problems.
Prioritize changes that can be tested without slowing sales.
A clear experiment
Recommended test
Reduce spend on low-margin acquisition campaigns
Move part of the budget to campaigns that bring in higher-margin products and more repeat customers.
A way to measure it
Continue when
Contribution margin improves while revenue remains within the agreed range.
Stop when
Revenue or new-customer volume drops beyond the limit you set.
Less time combining reports. More time making decisions.
Daymark does not replace every tool you use. It connects the information in those tools so your team can answer recurring questions more directly.
Current approachWhat usually happensWith Daymark
Spreadsheets
What usually happens
You combine exports and rebuild the same report every week.
With Daymark
Your connected data is ready when a new question comes up.
Platform reports
What usually happens
Each report shows only one part of the customer journey.
With Daymark
Store, advertising, analytics, and costs can be reviewed together.
Dashboards
What usually happens
You can see the numbers, but still need to interpret them.
With Daymark
You get an explanation and a clear set of next steps.
Analysts and agencies
What usually happens
Useful answers depend on someone else being available.
With Daymark
Your team can investigate routine questions as they happen.
Works with the tools you already use
Connect the sources that hold your sales, advertising, customer, and cost data. Keep working in the systems you use today.
See all integrationsShopifyMeta AdsGoogle AdsGoogle AnalyticsGoogle SheetsCost data
Your data stays under your control
Daymark uses read-only access, requests only the permissions it needs, and does not use your business data to train AI models.
Access
Read-only access with least privilege
Daymark uses the minimum scopes required for every integration and never writes to your production systems. All connectors are read-only by design.
- Read-only connectors
- No production writes
- Scoped database access
AI safeguards
Built for safe AI analysis
Our AI agents work only with schema metadata and limited query results to generate insights. Your underlying data is never used to train models.
- No training on your data
- AI agents cannot modify your systems
Frequently asked questions
What can I connect to Daymark?+
You can connect Shopify, Meta Ads, Google Ads, Google Analytics, Google Sheets, CSV files, and other supported sources. The page focuses on the sources most often used to understand ecommerce growth.
Do I need technical or analytics skills?+
No. You can ask questions in plain English. Daymark handles the query work and presents the result with an explanation, charts, and next steps.
Can Daymark review more than one source at a time?+
Yes. Daymark is built to answer questions that need data from several connected tools, such as comparing advertising spend with store revenue and product costs.
How long does setup take?+
Most teams can connect their first sources in about 10 minutes. Daymark reads from the tools you already use, so you do not need to migrate your data.
Can Daymark change anything in my systems?+
No. Daymark uses read-only access and cannot change your store, advertising campaigns, analytics setup, or production systems.
Is my data used to train AI models?+
No. Your underlying business data is not used to train AI models.
Start with a question about your business
Connect your data and create your first growth plan.
Read-only access. No data migration. No technical setup.