CasesAI Marketing Signal Dashboard
Turchi

AI Marketing Signal Dashboard

An AI dashboard that scans marketing analytics every morning, flags what matters, and drafts the action plan before the owner logs in

AINo-code / Low-codeAutomationWeb app
ClientTurchi
WhenMay 2026
IndustryIndustrial Machinery
AI Marketing Signal Dashboard — desktop
AI Marketing Signal Dashboard — mobile
4
analytics sources unified into one daily view
2
weeks from zero to live production
1
morning view—AI scans, investigates, and plans
The context

The owner drove international marketing growth alone, with no time to mine the data:

Signal overload

Marketing data was scattered across Google Analytics, Search Console, Google Ads, and Microsoft Clarity—no single place to see what needed attention.

Manual analysis

Spotting drops, anomalies, and opportunities meant checking each platform by hand every day—slow and easy to miss.

Insight ≠ action

Even when an issue surfaced, turning it into a concrete, evidence-based plan took expert time the team didn't have.

How I built it

I designed and built a production AI dashboard on Next.js, Supabase, and Vercel:

One morning view

A single dashboard surfaces AI-detected signals across all four analytics sources.

AI scan & ticketing

Scheduled AI agents scan every source daily and create one focused, prioritized, evidence-grounded ticket per problem—automatically deduped.

Auto-investigation

Each ticket is investigated by an AI agent that drafts an evidence-based action plan before the owner even logs in.

Approve-to-execute

The owner reviews, edits, and approves each plan, with agents wired to carry out the approved actions.

Built with
SupabaseSupabase
VercelVercel
ClaudeClaude