An approach to internal search query analysis
summary
Course Hero analyzes >9M content items by parsing raw search strings into keywords and preset study-guide pairs, grouping 1D/2D/3D terms and plotting a demand vs conversion quadrant to find strengths and opportunities. Key metrics are search volume, click‑through rate, mean reciprocal rank, conversion to Premier, search coverage rate (example: 86% for “Marketing 101 Cornell”) and document download rate. Low coverage triggers content acquisition; low CTR or low MRR points to relevance or ranking fixes. The pipeline surfaces high‑value categories and increases traffic.
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chapters (25)
- 0:00Introduction
- 0:48Core products
- 1:32Internal search bar
- 2:02Why internal search
- 2:37How internal search will help our business
- 3:57Clickthrough rate
- 4:10Mean reciprocal rank
- 4:38Conversion rate
- 4:59Search coverage rate
- 5:19Document download rate
- 5:39Search text strings
- 6:27Search query examples
- 7:04Extracting keywords
- 8:25Types of users
- 8:59Visitor flow
- 9:20Keywords
- 10:09Example data
- 10:47Opportunity quadrant
- 11:08Content coverage
- 12:17Click through rate
- 13:08Mean reciprocal ring
- 14:00Premier users
- 14:31New visitors
- 15:01Search coverage
- 15:13Key takeaway
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