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At a high level, implementing and leveraging Query Suggestions consists of 3 steps:
NOTE
All metrics on all tabs are index specific. If you’re seeing unexpected metrics, make sure you’ve selected the correct index and Date range. You can toggle Include all replicas to aggregate replica index analytics.
Query - the most popular query terms
Count - the number of times they’ve been searched for
CTR - click-through rate
CVR - conversion rate
Click Pos. - the average click position
Total Searches - the percentage of all searches made up by this query term
Q: What is “empty search”?
A: Search performed without text input:
Q: What is the analytical value of the “empty search” metric?
A: Analyse the relevance of your index, including the ways users interact with an empty search. For example, are products that show up first in the empty search popular or not?
Q: When to exclude the “empty search” metric from the analysis?
A: When an “empty search” lacks analytical value or skews the data. For example, most blogs sort articles by publication date, so empty search metrics give little insight into relevance.
Q: How to exclude the “empty search” metric from the analysis?
A: Refer to the How to Remove the Empty Search from Analytics guide.
Note: you might need to be assisted by the engineering team to perform this task.
Q: How to prevent sending empty queries all together?
A: You can turn off search on empty queries.
Note: you might need to be assisted by the development team to perform this task.