Target online is launching a new feature to show suggested items when a person is on a product page online. What will be the launch metrics?
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- Feature understanding and clarifications
- Understanding
- product recommendation based on product page
- Clarfication
- is the recomemdation based on user search relevance association to the page. like person was searching for baking stuff and when they go to kitchen utensils, it will suggest baking utensils - Yes that could be assumed
- if it is a registered user then would the recommendation be based on past purchase relevant to that page - Yes
- what would be the recommendation for an unregistered user first time in a product page - Best sellers in that product category
- Understanding
- Feature identification
- During Launch the most relevant feature for a user would be the recommendation that are based n search . When a person searches ,every page the person goes if the recommendation is aligned with the search then the user would have the stickiness to review the search aligned recommendation
- User journey
- user starts at the home page and starts a search of a product
- the search could be a result from multiple product pages as the search could be ambigous
- when a product page is reached based on the initial search if the recommendation is aligned to the search even if the product pages are flipped then the user will not need to type the search again but could be refining from the recommended products
- metrics at launch
- Raising awareness - Banner on the feature availability. How many users start their journey from the banner indicating the feature
- Acquisition - How many users on becoming aware of the dearch being consistent across the product pages use the recommended links and buy the product
- Engagement - How often does the recommendation links across each of the product pages are clicked
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