AI Marketing Analytics Automation
Your analyst spends 15 hours a week pulling data from GA4, ad platforms, and CRM. The reports get skimmed in 5 minutes. We automate the extraction and formatting so your team reads insights, not builds spreadsheets.
Why marketing analytics stays behind
Reports take longer to build than to read
15 hours pulling, cleaning, and formatting data from GA4, ad platforms, and CRM. The final report gets skimmed in a 5-minute standup. The ratio of effort to value is broken.
Attribution is a spreadsheet exercise
Multi-touch attribution requires combining data from 6+ sources. Without automation, it's a monthly project that produces outdated answers by the time anyone sees them.
Dashboards break when tools update
Every GA4 update, API change, or tool migration breaks something in your reporting stack. Your team spends more time maintaining dashboards than reading them.
What we automate in marketing analytics
GA4 automated reporting
Scheduled reports pulling pageviews, conversions, events, and audience segments without anyone opening Google Analytics. Delivered on your cadence.
Multi-touch attribution modeling
Automated data collection from all touchpoints with configurable attribution models. Updated daily instead of monthly so you see accurate channel value.
Dashboard automation and maintenance
Self-maintaining Looker Studio dashboards that pull live data and alert you when metrics deviate from targets. No more broken connections after API updates.
Anomaly detection and alerting
Automated monitoring of traffic, conversion rates, and revenue metrics. Alerts fire when something deviates beyond your configured thresholds.
Manual vs. automated
| Task | Manual | Automated |
|---|---|---|
| Weekly marketing report | 8-15 hours | Automatic |
| Attribution analysis | 2-3 days/month | Daily refresh |
| Dashboard maintenance | 5 hours/week | Self-healing |
| Anomaly detection | After someone notices | Real-time |
Frequently asked questions
What data sources can you connect?
GA4, Google Ads, Meta Ads, LinkedIn Ads, HubSpot, Salesforce, Mixpanel, Amplitude, BigQuery, and most tools with a public API. If your data lives somewhere accessible, we can pull it into your reporting pipeline.
How accurate is automated attribution?
As accurate as your data allows. We combine first-party data from all your platforms using the attribution model you choose: first touch, last touch, linear, time decay, or position-based. The automation eliminates human error in data merging and calculation.
Can we customize report templates?
Yes. Every report template is built to your specifications: metrics, time ranges, segments, and visualization preferences. Once configured, reports generate automatically on your schedule without further input.
What happens when GA4 or an API changes?
We monitor API versions and update integrations before breaking changes hit production. Your dashboards stay functional through platform updates without manual intervention from your team.
Do we need a data warehouse?
Not to start. Basic automation works with direct API connections. For teams with complex data needs or historical analysis requirements, we set up lightweight data pipelines into BigQuery or Snowflake as part of the implementation.
We'll map exactly what to automate first
45 minutes. We walk through your workflows, find the biggest time sinks, and give you a prioritized plan with estimated hours saved per week. If we can't find at least 20 hours of automation potential, we'll tell you.
Zero obligation. One call, one actionable plan.