AI-Powered Insights

Recipe Kit uses artificial intelligence to analyze your recipe performance and provide actionable recommendations.

What AI Insights Provides

Performance Summary

A comprehensive analysis of your recipe performance including:

• Overall health score
• Key performance indicators
• Trend analysis
• Comparison to benchmarks

Timing Insights

AI analyzes when your recipes perform best:

• Best days for recipe views
• Peak engagement times
• Seasonal patterns
• Weekly trends

Content Insights

Analysis of what makes your recipes successful:

• Common traits of top performers
• Content gaps to address
• Optimization opportunities
• Title and description analysis

Recipe Recommendations

Specific suggestions to improve:

• Underperforming recipes to fix
• High-potential recipes to promote
• Content ideas based on trends
• Product linking opportunities

Accessing AI Insights

From Analytics Dashboard

1. Go to Analytics
2. Look for the AI Insights section
3. View recommendations and analysis

For Individual Recipes

1. Click on a specific recipe in Analytics
2. View AI analysis for that recipe
3. Get specific recommendations

Types of Recommendations

Recipe Improvements

"Recipe X has high views but low engagement. Consider:

• Adding more appealing images
• Linking more ingredients to products
• Improving the description"

Content Strategy

"Based on your top performers, consider creating:

• More [cuisine type] recipes
• Recipes featuring [popular ingredient]
• Quick weeknight meals"

Product Opportunities

"These recipes have high traffic but no linked products. Adding product links could increase sales."

Timing Recommendations

"Your recipes get the most views on [day]. Consider publishing new recipes before this peak."

Understanding the Health Score

AI calculates a health score (0-100) based on:

Smart Alerts

AI automatically alerts you to:

Positive Trends

• Recipe going viral
• Significant traffic increase
• High conversion rates

Issues to Address

• Sudden traffic drops
• Low-performing new recipes
• Missed opportunities

Best Practices

Review Regularly

Check AI insights weekly to:

• Catch trends early
• Act on recommendations
• Track improvement

Prioritize by Impact

Focus on recommendations that:

• Affect high-traffic recipes
• Drive sales (ATC improvements)
• Require minimal effort

Test and Learn

• Implement one recommendation at a time
• Measure the impact
• Learn what works for your audience

Limitations

AI insights are based on:

• Historical data patterns
• General best practices
• Your specific performance data

They may not account for:

• Seasonal products you sell
• Your specific audience preferences
• External factors (trends, holidays)

Use AI insights as guidance, not absolute rules.

What's Next?

• Analytics Dashboard - Navigate analytics and metrics
• Exporting Analytics - Download reports