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Maximin
Maximin

Posted on Originally published at Medium

Automate a Weekly Ecommerce Funnel Review with n8n and Clics

A weekly funnel review is useful only when it arrives with enough context to act on. A chart that says conversion dropped is not enough. You need to know where visitors left, which sessions deserve a closer look, and whether the change is large enough to investigate.

Clics and n8n can turn that review into a repeatable workflow. Clics provides the analytics data and session detail. n8n handles the schedule, analysis steps, and delivery.

What the workflow does

A practical weekly review can:

  1. Run on a fixed day and time.
  2. Pull the latest traffic and conversion statistics from Clics.
  3. List the funnels configured for the project.
  4. Compare the current period with the previous period.
  5. Retrieve relevant sessions and session events when a step needs investigation.
  6. Format a short report for Slack, email, or a Notion page.

Pull the latest traffic and conversion statistics from Clics.

List the funnels configured for the project.

Compare the current period with the previous period.

Retrieve relevant sessions and session events when a step needs investigation.

Format a short report for Slack, email, or a Notion page.

The goal is not to let an AI agent invent an explanation. It is to give your team a consistent starting point, backed by the data Clics returns.

Connect Clics to n8n

Clics exposes a remote MCP endpoint at:

https://api.clics.dev/v1/mcp

In n8n, add the MCP Client Tool to an AI Agent node, choose Streamable HTTP as the transport, and use OAuth for authentication. This keeps the connection tied to your Clics account without copying an API key into every workflow step.

Before building the automation, make sure the ecommerce events and funnel steps you want to review are already tracked in Clics. The workflow can query existing data, but it cannot reconstruct events that were never collected.

Build the weekly review

Start with a Schedule Trigger. A Monday morning run works well because it can summarize the previous calendar week before the team plans its next experiments.

Connect the trigger to an AI Agent with the Clics MCP Client Tool available. Give the agent a narrow brief: retrieve the relevant project statistics, list the ecommerce funnel, compare the last seven complete days with the preceding seven days, and flag material changes without guessing at causes.

The available Clics tools include query_stats, list_funnels, list_sessions, and list_session_events. Together, they support a useful sequence:

  • query_stats provides the top-level traffic and conversion view.
  • list_funnels returns the configured funnel structure and results.
  • list_sessions narrows the review to sessions that match the period or behavior you care about.
  • list_session_events supplies the event sequence for a closer look at individual journeys.

list_funnels returns the configured funnel structure and results.

list_sessions narrows the review to sessions that match the period or behavior you care about.

list_session_events supplies the event sequence for a closer look at individual journeys.

After the agent produces structured output, use a Set or Code node to shape the final report. Keep the report short: headline numbers, the largest step-level changes, two or three sessions worth reviewing, and clear follow-up questions.

Deliver the report

Send the result to the channel your team already checks. Slack is useful for discussion, email works for a scheduled digest, and Notion is better when you want a durable weekly log.

A simple output might include:

  • Visits, conversions, and conversion rate for both periods.
  • Funnel completion by step.
  • The largest week-over-week change.
  • Links or identifiers for sessions that need manual review.
  • One recommended investigation, phrased as a question rather than a conclusion.

Funnel completion by step.

The largest week-over-week change.

Links or identifiers for sessions that need manual review.

One recommended investigation, phrased as a question rather than a conclusion.

Important limits

Keep the automation inside the documented data boundary. Clics distinguishes human visits from AI services, reported as AI referrals, from bot or server requests, reported as AI crawlers. A crawler request does not prove that a page was indexed, cited, or used for training.

The documented n8n MCP workflow focuses on analytics, funnels, sessions, and session events. Do not assume that every dashboard feature has a dedicated MCP tool. If a metric is not returned by the available tools, leave it out or add a separate verified data source.

A better weekly habit

Automation should remove repetitive collection, not replace judgment. Let n8n assemble the same evidence every week. Let your team decide whether a funnel change is noise, a tracking issue, or a real opportunity. That division of work makes the review faster without pretending the workflow knows more than the data shows.

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