Monitor daily traffic spikes with Databox, OpenAI and Slack

Autonomous Traffic Spike Reporting: Databox, AI & Slack

This workflow gives PPC agencies and performance teams a daily traffic and performance check across multiple clients using Databox data.

It pulls yesterday’s and day-before-yesterday’s data for key metrics, compares changes, analyzes the results with AI, and sends both client-level and cross-client reports to Slack.

Who’s it for

PPC agencies managing multiple client accounts Performance marketing teams tracking daily traffic changes Account managers who need fast visibility into client performance Operations leads who want a daily cross-client summary

How it works

A daily trigger starts the workflow. The first Code node stores the client list and Databox metric setup. The loop processes each client one by one. Databox pulls yesterday and day-before-yesterday data for: Sessions New users Ad cost Clicks The workflow merges and formats the metric data. AI checks for traffic spikes, drops, and unusual performance changes. A client-level Slack report is sent for each client. After all clients are processed, a second AI agent creates a leadership summary across all clients. The final cross-client report is sent to Slack.

How to set up