How do models credit my campaigns?
Customer Journey Insights · campaign-level attribution
- Connect
- Google Ads + the associated GA4 property; sufficient campaign and conversion data.
- Review
- Platform, first-click, LNDC and MAI attribution views.
What are you
working on?
Start with the decision you need to make.
- Optimize campaign performance Review a specific optimization proposal with Opti.
- Scale Google & Meta spend Plan the next Google or Meta budget step.
- Compare campaign attribution Compare how different models credit campaigns.
- Measure your channel mix Review estimated channel contribution and spend response.
Black Friday.
Cyber Monday.
Have a plan.
Prepare the offer and spend limits. Know what to review before, during, and after the sale.
Explore the sale playbook ↗Starting with a new account or a store?
Two measurement questions.
Different views of performance.
Campaign attribution and channel modeling answer different questions. Choose the level that matches your decision.
How does each channel contribute?
Marketing Mix Modeling · channel-level measurement
- Connect
- Sales history from Shopify or GA4 + supported ad-spend history; data and model readiness checks apply.
- Review
- Estimated contribution, return estimates and spend-response curves.
Illustrative product previews. Estimates are not guarantees. Advanced MMM budget planning requires enabled access through MAI.
Need a campaign change to review?
Opti uses suitable saved segment evidence to form a proposal. It is a separate workflow from comparing measurement views.
See Opti recommendations ↗Find your team.
Solo founders
Start with one recurring campaign check or performance review, and keep business decisions with you.
Explore MAI for your team ↗Agencies
Build a repeatable client review process within each authorized workspace.
Explore MAI for your team ↗DTC brands & growth teams
Investigate campaign performance, review supported creative or bidding proposals, and plan your next spend increase.
Explore MAI for your team ↗
Bring the performance discussion into Slack.
Ask Aton what changed and what needs attention, where your team already works.
Explore performance answers in Slack ↗Illustrative conversation. A connected Slack workspace, authorized account context and available data are required.
Ask about your ads in your AI assistant.
Use MAI through MCP in ChatGPT, Claude, Codex or another compatible assistant. Bring connected advertising data into the conversation.
Explore MAI for AI assistants ↗Illustrative answer. Connected sources, authorized account access and an MCP-compatible app are required.
More workflow guides
Practical reading for the work around campaign decisions.
Budget allocation ↗ Learn about MAI-assisted allocation planning for enabled workspaces with eligible models, response curves, constraints, and uncertainty in view. Campaign optimization ↗ Turn significant segment evidence into a specific proposal, with assumptions and execution requirements attached. Account audits ↗ Review saved Google and Meta audit reports where available, then investigate the evidence needed for the next step. Monitoring & investigation ↗ Investigate material changes in delivery and outcomes, then decide what needs attention. Creative testing ↗ Connect creative exploration and eligible test designs to campaign goals and measurement. Reporting & explanation ↗ Turn connected campaign evidence into a review of what changed, what matters, and what to investigate next.
Bring your next question to MAI.
Try for freeAvailability depends on connected sources, supported controls, permissions and suitable evidence. You approve campaign changes.