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The FTT Optimizely Data Platform (ODP) Connector

Writer's picture: Johnny MullaneyJohnny Mullaney




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Up to now, Optimizely commerce developers have had to write their own code on each website to send custom data from their E-Commerce product catalog to ODP via it's API.

Which is fine, but we think something this key, should be standardised. That's why as part of our R&D and innovation strategy, we developed and open-sourced our own ODP Product Attribute Connector. It is very quickly installed and developers just 'tag' the attributes they want ODP to know about.


It works alongside and compliments Optimizely's connector to deliver a full Customized Commerce to ODP Product Catalog integration.

The open source code is available in our First Three Things GitHub.


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Context


The core of any modern MarTech DXP is its Customer Data Platform (CDP).

A CDP collects and unifies customer data from a variety of sources including web, mobile, email, customer service, social and more.


It gives brands access to real-time data as it analyses consumer preferences and behaviours, enabling the segmentation of their audience for personalised targeted campaigns that truly resonate.

Optimizely's Data Platform (ODP) is a particularly robust CDP option. It has advanced reporting capabilities, audience segmentation, real-time anonymous personalisation, triggered emails such as abandon basket, personalised messaging and modal popups for data collection.

With a strong data and implementation strategy, it starts to work like magic in tandem with the other products in your DXP.


A key piece of that strategy will be your product catalog. Your CDP needs to know everything about your catalog so that it can report on and segment your customers based on the type of products they are interested in.

Optimizely have a no-code connector for Optimziely Customized Commerce partners to import the Product Catalog including core product data such as variations, name, code and price.


While this type of product data is useful for basic reporting, it is not yet analysing and segmenting your customers based on the type of products they are interested in. For example if you are a fashion store and you sell products where the brand name of a product might be 'Nike', you need to be analysing and personalising the experience for customers who have exhibited a preference for Nike products.

Our connector makes that port of your personalisation strategy much easier on Optimizely.

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