Findify

Findify Developer Hub

Welcome to the Findify Developer Hub. Here you'll find comprehensive guides and documentation to help you start working with Findify as quickly as possible, as well as support if you get stuck. Let's jump right in!

API Integration Overview

Integrating Findify using the API method

Overall steps for the API integration:

  • generate feed (or use platform integrations that already exist)
  • create Findify account
  • choose which capabilities you want to use: Search, Autocomplete, Collections, Recommendations
  • integrate Analytics
    -- all events from Feedback API
  • validate with Findify team that we get all events properly
  • go live

Generate Feed

You can refer to Custom integration for feed generation or utilize one of the existing integrations that we have: Shopify , Neto , Magento , BigCommerce.

Integrate Analytics

Analytics are an integral part of Findify that allow our ML and Personalization algorithms to operate. It is paramount that you integrate all the analytics events properly.
Some of the events rely on the request-id property that you will receive after performing a request to our backend. This helps us bind the response that we have sent with the actions that user has performed (e.g. clicked on a product in the search results).
Some of the events play a lesser role in the personalization (e.g. click-redirect event that happens when you click on a search suggestion that leads to a redirect), but it's still good to have them as in the future we might rely on such events for new features.

API Features Controlled via Merchant Dashboard

Page Redirects
After setting up a page redirect, you can observe redirect property present in both autocomplete and search responses. You can utilize this data to redirect the user to a certain page.

Banners
After setting up a banner for search or collection, the API response will contain banner property with the details of a banner that can help you render it on the page.

Dynamic Recommendation Filters
Dynamic recommendation filters (happens when you choose ' Currently viewed' option in the recommendation filter setup) relies on the values sent from the frontend. If you want to utilize this ability, you will need to send the filter values in the recommendation request.

Caching Responses

We strongly advice against caching responses from Findify as it will nullify the effect of ML and personalization.

Existing SDKs

We have an existing SDK written for JS (Github: Findify JS SDK) environments and several helper libraries that can help you build a JS integration and some React-specific libraries, if you are working in React environment.

Updated 2 months ago


API Integration Overview


Integrating Findify using the API method

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