Brief

Automates the extraction of marketing data from competitor landing pages to track changes in pricing, messaging, and promotional offers.

What does Competitor Campaign Monitoring (Huel) do?

This template navigates to a specific product landing page or e-commerce storefront (modeled after sites like Huel). It extracts key marketing elements including headlines, product bundle configurations, pricing tiers, and primary call-to-action text, effectively capturing the current state of the page's sales strategy.

In the context of the workflow, this template serves as the recurrent data collector. It periodically visits target URLs to fetch live data, which acts as the "new" dataset. This allows the downstream AI to compare it against archived data to detect specific shifts, such as a price increase, a new seasonal campaign, or a change in value proposition.

Platform: E-commerce / Product Landing Pages
Data Points:
- Product Titles & Descriptions
- Current Pricing & Discounts
- Bundle Configurations
- Marketing Headlines & Copy
- Call-to-Action (CTA) text

How to use Competitor Campaign Monitoring (Huel) ?

Run via n8n: Trigger the "Automate competitor campaign monitoring using AI" workflow via the weekly schedule.
Provide Input: The workflow retrieves a list of URLs from Google Sheets and maps the Page URL column to the template's input field.
Output: The template returns the text and structured data regarding the page's current pricing and offers.
Next Steps: The data is passed to the AI Agent (OpenRouter) to compare against the previous week's record and identify changes.

Market Agility: Instantly detect and react to competitor flash sales, price drops, or new product launches.
Strategic Insight: Reverse-engineer competitor strategies by observing changes in their messaging and bundle offers over time.
Automation: Eliminates the need for manual site visits, ensuring no subtle updates are missed.

Inputs

This template is a dependency for the n8n workflow: Automate competitor campaign monitoring using AI. It provides the live site data required for the AI to perform the change detection analysis.

30-50credits per task (estimated)