AI Marketing Automations
Overview
I build custom AI workflows, automating repetitive tasks, surfacing insights, and orchestrating multi-step campaigns.
References
- Lead-scoring bot: qualified lead volume +45%
- Content-brief generator: 80% reduction in briefing time
| Automation Use-Case | Time Saved | Error Rate | Adoption | Impact on Revenue |
|---|---|---|---|---|
| Content Briefs | 5 h/week | <2% | 100% | +12% content output |
| Lead Enrichment | 3 h/day | 0% | 85% | +30% MQLs |
| Campaign Copy A/B Testing | 4 h/test | N/A | 75% | +8% CTR |
| Data Anomaly Alerts | N/A | N/A | 100% | –15% downtime |
AI Marketing Automations – Practical Guide for Growth
Deploy automations that shorten cycle time and reduce waste: lead handling, content ops, and reporting.
High-Impact Use Cases
- Lead ops: enrich → score → route → follow-up
- Content ops: briefs → draft → review → publish → repurpose
- SEO/GEO: clustering, schema, internal links, change monitoring
- Reporting: value reporting, anomaly alerts, budget guards
Starter Stack
- GSC + GA4 + Looker Studio templates
- Zapier/Make webhooks, Sheets/Notion hubs
- LLM prompts + evaluation loops (quality & cost)