Audit pages, track rankings, compare traffic. Every one is ready to run, and you can adjust it in plain language.
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.
Calculate requested pipeline totals from matching CRM deals.
Get a sales pipeline report in the same email thread, with the deal count or value and the filters behind it.
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.
Calculate deal counts and amounts for sales questions in chat.
Get answers from your data analysis chatbot when teammates ask about the sales pipeline, with the deal filters behind each figure.
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.
Turn the latest reporting query results into a labeled workbook.
Your report preparer gets a fresh Excel workbook when the SQL reporting table changes. The rows follow your chosen query and headings.
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.
Calculate comparable social engagement changes for campaign reports.
Your social media analytics report shows what changed between campaign periods, which posts led, and the figures behind each finding.