AI-Agents for Data Analytics in Campaign Tracking

Build tracking links, compare lead quality, log text deliveries. Every one is ready to run, and you can adjust it in plain language.

Keep website data ready for analysis without duplicate rows.

Get new and changed rows from the public pages on your request forms every Monday, plus a workbook report of failed pages.

Keep analysis tables current with valid rows from team sheets.

Your reporting table gets valid new spreadsheet rows every 15 minutes, with import counts and row-specific fixes waiting in the sheet.

Add usable spreadsheet rows to the database and flag gaps.

Get valid Excel rows into PostgreSQL and a chat report showing how many went in and what needs fixing.

Keep data tables current from CSV files and flag failed loads.

Keep your PostgreSQL table current as CSV files arrive, with a row count or a clear reason when an import needs attention.

Bring approved records into the target table and report rejected rows.

Get approved records into your target table and a dated report showing which rows transferred or need fixing.

Load checked campaign rows into the table used for analysis.

See which campaign figures reached your analysis table and which rows need attention after your daily Google Ads to BigQuery import.

Load valid website activity for analysis and flag rejects.

Get fresh website activity in your analysis table, with an import tally and a report of rows that need fixing.

Load checked search figures into the reporting table.

Your reporting table gets checked page and query figures, with import counts and rejection reasons ready to review.

Capture source-linked row changes while preserving complete baselines.

See new and changed rows from the public pages you watch, with links to their sources and a clear status when a scrape fails.

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