Click-Through and Conversion Analytics
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What is Click and Conversion?
Click-through and Conversion Analytics, only available on Enterprise plans, takes our out-of-the-box Search Analytics further, providing insight into what significant actions a user takes after performing a search. You can analyze two events:
- clicks - clicking on results
- conversions - a single significant event that tracks which searches lead most often to that event. Any catchable UI event can be chosen as a conversion point.
This data is available by sending us events when your users click on a result or go to a certain page after a search. These events are sent by adding small bits of code to your application.
Sending clicks and conversions requires coding.
Click and Conversion Analytics are only available on Enterprise plans. They can be viewed either in the Dashboard or programmatically via the Analytics API. If you signed up for your plan with an Account Executive, please refer to your service order for your analytics features.
Why track clicks and conversions?
By default, Algolia has no idea what happens after it returns search results. It does not know what you do with the results, nor what your users do with them. For Algolia to create a useful set of click analytics data, you need to send click-related information that answers the following questions:
- Are your users clicking on the results?
- If yes, which ones? The first or last? On which page?
- And do your users take a significant action like adding one of your products to a wish list?
Algolia can compute such metrics as Click-Through-Rate (CTR), Average click position, and Conversion following a click for all queries. From these metrics, you can data-mine / measure the quality of the relevance of your results. For example, you can see which items your users consistently think should be higher in the ranking. Or you can analyze whether a user follows a click with a conversion, which could mean, for example, adding an item to a cart.
What can we learn from clicks and conversions?
To give a preview of how these metrics can help, let’s compare 3 queries that use different words to convey the same intent (to find an eco-friendly refrigerator):
- “refrigerator efficient” → lots of results, 50% click rate
- “eco refrigerator” → less results, 10% click rate
- “refrigerator saves energy” → no results
What can we learn?
- You could add synonyms between “eco refrigerator” and “refrigerator efficient”.
- You could do the same for “saves energy”, creating a 3-way synonym with “eco” and “efficient”.
- You could rename your products in your catalog to use these words in all your records.
- You could create a filter or a category for “eco-friendly”.
- You could use these keywords more often in public-facing communication.
- You could use the word “efficient” more often in your product descriptions, or promote products that describe themselves as “efficient”, since your users seem to prefer the word “efficient” over the word “eco” (50% vs 10%).
If we make some of the above changes, what can we learn with conversion rates?
- “refrigerator efficient” → 10% conversion
- “eco refrigerator” → 5% conversion
“refrigerator saves energy” → 5% conversion
- We can see that we were right to include all these terms in our data, because they all convert.
- It was also good to emphasize “efficient” over other words: given the higher conversion rate on the “efficient” query, it seems to be the preferred term.
If “no results” still appear, or you have low click rates, maybe none of your refrigerators are eco-friendly. Yet, if this is a popular search, you might want to consider adding these items to your product line.
- If you don’t have enough of your highest converting items in your inventory, you might want to improve your stocks.
In these and other ways, search and click analytics give you insights into buying trends, and help you improve your data and index settings.