I am looking to accomplish the following scenario. On the product detail pages I want to display a related products section. Within a product configuration I want to specify related products (using meta fields) that I would want to show to a customer in the related products section. If I do not specify related products in a particular product configuration or there are not enough specified to fill the section, I want to have Shopify generated recommendations fill the section.
Basically the related products section would first look for any manual specified related products and use them and if there are none or not enough, it would use Shopify recommended related products.
Hi,
You should try Search and discovery app: https://apps.shopify.com/search-and-discovery by shopify.
It allows mixing of shopify recommended products and product from metafields.
Please check if it helps.
Thanks!
I am checking this out. I have SearchSpring implemented on my site so I have to find out from them if they allow this app to work as you have stated. Hoping so.
Add related and complementary products on product detail pages, You can combine both shopify product recommendations and products metafields
Customize filters to let shoppers refine their search by multiple categories., You can also use it for collection page filters
Another use case is, Use product boosts to feature products you want highlighted in search results. You can prioritize some products in search results to appear on top
etc…
Thanks!
Hi, John here from PureClarity (product recommendations and personalised content).
Our product recommendations support this. You can use product metafields to define related products. Our automated product recommendations use this as part of the “mix” of different recommendation strategies to try. Homepages get, “Recommended based on your recent history”, “Best Sellers”, “Trending products” etc. Product pages get, “Related Products” (if set!) or “Frequently Bought Together” or “People also viewed” etc.
We find that this automated approach where it picks the most relevant type of recommendation based on customer history and current buying intent produces the best recommendations on every page view. We have 30 different types of recommendation to show.
Happy to chat to you more. Visit our website and use our live chat!