A Guide to Implementing an mParticle Data Plan in an eCommerce App | HackerNoon

. Additionally, we’ll talk through some of the choices we made in creating the sample app itself, which we hope you'll find to be a helpful playground as you learn more about implementing data collection.Before we implemented data collection, we needed a data plan to work from. Using mParticle’s

to automatically generate the data collection code that we would implement in our application. This Snippet tool’s interface immediately represents each event in the data plan as a discrete code block that can be transported directly into your source code: Additionally, having a tool capable of generating data collection code across major platforms from the same JSON source addresses another significant challenge of implementing a data plan: Maintaining consistently across data inputs. This can be especially challenging at large enterprises with a variety of touchpoints, where it is common to have separate engineering teams handling Web, iOS, Android and OTT products.

For example, let’s look at how we implemented the Product Detail event, which sends three attributes, id, name, and categories, to mParticle:

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