Tango.ad Analytics - Interests

To access this dashboard, navigate to:

Analytics → View → Interests

This dashboard provides a comprehensive overview of how customer interests behave over time, how they translate into actions (add-to-cart and purchases), and how they contribute to revenue.

1. Interest Category Momentum

Label: interest_categoryMomentum

This line chart shows how different interest categories perform over time.

What this section shows:

• Each colored line represents a specific product or content category (e.g., hygiene, office supplies, cosmetics, furniture, etc.).
• The X-axis displays the timeline (by day or week).
• The Y-axis reflects the interest momentum — how often users interact with or show interest in items from that category.

Why this is useful:

• Helps you identify trending categories.
• Shows which interests are growing, declining, or staying stable.
• Useful for planning promotions, campaigns, and featured products.

Controls:

• Category legend at the top lets you toggle categories on or off.

  All / Inv buttons allow you to filter between:

  • All – all interest data
  • Inv – inventory-related or specific filtered data (depending on your setup)

2. Interest by Tags

Label: interest_byTags

This panel is meant to show how interests are distributed based on tags.

Current status:

In the screenshot, this section displays:

No results were returned for this query.

This means:

• There is currently no available data, or
• Tags are not yet configured, or
• There has been no tracked interaction for tagged items.

Why this section matters:

Once data is available, this will:

• Show which tags attract the most interest.
• Help you optimize tagging strategies.
• Improve segmentation and personalization.

3. Add to Cart vs Purchases by Interest

Label: interest_addToCartVsPurchases

This is a comparison chart that tracks user actions based on interests.

What this chart shows:

• Blue line: Add to cart actions
• Purple line: Completed purchases
• Timeline view (from November to January in the screenshot)

Why this is important:

• Lets you see the conversion gap between interest and actual purchase.

  Helps identify:

  • Products users like but don’t buy
  • Potential pricing or UX issues
  • Opportunities for remarketing campaigns

How to use this:

• If add-to-cart is high but purchases are low → consider:
  • Sending reminders
  • Offering discounts
  • Improving product descriptions

4. Revenue by Interest

Label: interests_revenueByInterest

This section is designed to show how much revenue is generated per interest category.

Current status:

In the screenshot, it shows:

No results were returned for this query.

This could mean:

• Revenue tracking by interest is not yet configured
• No qualifying data exists yet
• Filters may be too restrictive

Why this section is powerful:

When active, it helps you:

• See which interests are most profitable
• Prioritize high-performing categories
• Allocate budget more effectively