AI Marketing Dashboard and Reporting Assistant

An executive dashboard concept that consolidates campaign data from multiple sources and produces concise AI-assisted performance summaries, designed to shorten the path from raw data to a decision.

Marketing and leadership teams need a regular, readable summary of campaign performance, but pulling that summary together manually every week is repetitive and time-consuming.

Key metrics live across different platforms and sheets, trends and anomalies are easy to miss without dedicated analysis time, and reports take real effort to assemble before they can be shared.

A dashboard that ingests campaign data through connected APIs, defines a consistent set of key metrics, and flags trends or anomalies automatically. An AI-assisted summary step turns the numbers into a short, readable weekly update with recommended actions, ready to export for management or client reporting.

• Marketing leads who need a fast weekly performance overview
• Founders reviewing campaign performance without a dedicated analyst
• Agencies preparing recurring client reports

1. 1

   Campaign and analytics data is pulled from connected APIs on a schedule

2. 2

   Metrics are calculated and compared against the prior period

3. 3

   Trend and anomaly flags are generated for notable changes

4. 4

   An AI-assisted step drafts a short summary with recommended actions

5. 5

   The summary and underlying data are available to export

• Key metric definitions, trend alerts, and anomaly flags
• Automatic weekly summaries with recommended actions
• Campaign comparison views
• Exports for management and client reporting

A Next.js dashboard front end displays metrics and summaries, backed by a Python service that aggregates data through APIs into PostgreSQL and calls OpenAI to generate the narrative summary, with Google Sheets supported as a lightweight export format.

• Metrics are recalculated automatically each time new data is ingested
• Anomaly flags trigger when a metric moves beyond a defined threshold versus its recent trend
• Weekly summaries are generated from the flagged data rather than the full raw dataset, to keep them concise

• API credentials for connected platforms are stored as environment variables, not in the codebase
• Dashboard access is intended to be limited to authenticated team members
• AI summary generation is scoped to aggregated metrics rather than raw customer-level data

• Defining a metric set general enough to apply across different campaign types
• Setting anomaly thresholds that flag real issues without producing noise
• Keeping AI-generated summaries factually tied to the underlying numbers

• Shortens the time between raw campaign data and a usable summary
• Surfaces trends and anomalies that might otherwise be missed
• Produces a consistent report format for management and client updates

• Designed and planned as a dashboard concept rather than connected to live ad accounts
• Anomaly thresholds are illustrative and would need tuning per business
• Export formatting is still being defined

• Add configurable metric sets per business or campaign type
• Introduce scheduled email delivery of the weekly summary
• Expand comparison views across longer historical ranges