Know which Google Ads spend is driving results
Google Ads changes daily, but reporting spend and results can take time. Connect Google Ads to Daymark to review performance as clear visuals and keep a dashboard for weekly reporting.
Ad reporting can fall behind performance
Frequent changes
Budgets, keywords, and campaigns move quickly.
Results are split across tools
Spend is in Ads while outcomes may be in analytics or CRM.
Hard to summarize
It takes time to explain what changed and why.
How Daymark works with Google Ads
Keep Google Ads reporting clear and consistent
Connect your ad account, ask questions about spend and outcomes, then save the charts to dashboards. This makes it easier to review performance and share updates with team.
Connect Google Ads
Sign in with OAuth and connect one or more ad accounts with read-only access.
Ask a question
Ask about spend, CPA, ROAS, and performance by campaign or ad group.
Build a dashboard
Save performance views to dashboards for weekly reporting and pacing.
An AI workspace for trustworthy metrics
Ask questions in plain English, use data from multiple sources, and save answers as dashboards your team can share. No SQL required.
Ask questions and get clear answers
Ask a question and Daymark returns a chart, table, or summary that answers it. Save the result when it is useful.
Use multiple data sources in one place
Bring key metrics from tools like HubSpot, Ads, Analytics, Sheets, and Postgres into one workspace.
HubSpotGoogle Ads
Google AnalyticsDashboards your team can share
Save answers to dashboards so your team can review the same metrics. Share dashboards for weekly updates, planning, and reviews.
Security & AI data safeguards
Keep access read-only and scoped while AI context stays limited to schema metadata.
Security & permissions
Read-only access with least privilege
Daymark integrations use the minimum scopes required and never modify production systems.
- Read-only connectors
- No production writes
- Scoped DB access
AI data policies
Built for safe AI analysis
AI uses only schema metadata for context and never trains on your data, and it cannot modify live or production systems.
- No training on user data
- AI cannot modify live data
- Metadata-only access
Connect Google Ads in Daymark
Start exploring your data with read-only access in minutes.